Google AI Overviews now dominate results, but users can still reduce their visibility easily.Switching to Web filter removes AI summaries from most search pages instantly today.Using quotation marks in queries helps bypass AI generated overview sections effectively online.Browser extensions designed for search cleanup can hide AI overview blocks automatically.Changing search region settings sometimes alters AI overview display behaviour for users.Logging out of Google may reduce personalised AI summaries in certain cases.Using alternative search engines gives full control over traditional link based results.Bookmarking direct Web results helps avoid repeated AI overview interruptions while browsing.Staying updated on Google changes ensures better control over evolving AI search features.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Inventory tools help ecommerce brands track stock levels in real time.Automated alerts prevent overselling and reduce costly fulfilment mistakes significantly.Forecasting features predict demand helping businesses prepare inventory smarter.Multi channel syncing keeps Amazon Shopify and website stock aligned.Barcode scanning improves warehouse accuracy and speeds packing processes efficiently.Analytics dashboards reveal slow moving products and profitable selling patterns.Integration with shipping tools simplifies order processing and dispatch workflows.Cloud based systems allow remote inventory monitoring from any location.Smart inventory software boosts customer satisfaction and improves operational scalability.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Sony is facing a major legal battle in the United Kingdom. In the UK, millions of gamers have joined a lawsuit that accuses Sony of charging more for games. Players complain that the PlayStation Store has uneven prices for games. The case seeks around $2.7 billion in damages and could affect how digital games are sold on consoles.The claim was filed at the UK Competition Appeal Tribunal. Almost 12 million PlayStation gamers have signed it. According to them, the gaming giant has used its dominant position to control game prices digitally. If the court rules against the company, it may be required to provide compensation and make changes to PlayStation Store operations.Why Sony is Facing a Lawsuit and Possible CompensationThe lawsuit was initially filed in 2022, claiming Sony has created a closed system for PlayStation consoles. Players can only buy digital games and add-ons from the PlayStation Store. The claims further suggest that this closed system allows Sony to set higher prices for games. This price disparity violates the UK’s competition law. In 2022, consumer advocate Alex Neill filed the case on behalf of millions of UK gamers. The timeline has expanded quite a bit now, from 2012 to 2026. Players who have purchased games from the PlayStation Store during this period have joined the lawsuit. The legal claim seeks around £1.97 billion in damages (around $2.7 billion). If the court rules in favor of the case, each affected player could receive compensation. Reports suggest the amount could be around £100-£160 per user, depending on how the settlement is shared.Sony has denied the allegations. The company says its pricing system is fair and similar to that of other console makersAre PlayStation Store Games Really More ExpensiveThe key issue includes the price of digital games on the PlayStation Store. The claim says that Sony takes a commission of about 30 percent on digital sales. This price often leads players to pay more for PS games. Supporters of the lawsuit have pointed out that digital games sometimes cost more than physical copies. This has made the issue more complicated. Digital games don’t have manufacturing or shipping costs.Sony denied all the claims. The organization has revealed that PlayStation Store provides security, updates, and support for developers and players. The gaming giant has highlighted that other gaming platforms also follow a similar pricing model. Also Read: How to Play Sony PS3 Games Without a Console: Quick GuideWill the Case Change Digital Game Pricing?The outcome of the lawsuit is still unknown. However, it could have a wider impact on the gaming industry. If the court verdict goes against Sony, it would force other consoles to open their platforms to more digital stores.In that case, the purchase scenario will be more open and beneficial for gamers. They will get games at a lower price. On the other hand, if Sony wins the case, the current console store model will likely remain the same.Irrespective of the judgment, the case has started a discussion about digital game pricing. As gaming moves further into the digital era, these debates are likely to become more common.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Markets in India are expected to open Thursday, 12 March 2026, session on a weak note due to rising global tensions and crude oil prices. Cues from GIFT Nifty signal a gap-down start. The index was trading near 23,819, with a discount of 120 points compared to its previous close of Nifty futures.On Wednesday, 11 March 2026, the domestic market witnessed a sharp sell-off. Sensex fell 1,342.27 points or 1.72% to close at 76,863.71, while Nifty 50 declined 394.75 points or 1.63% to settle at 23,866.85. Sensex OutlookThe Sensex faces near-term pressure after forming a bearish candle on the daily chart. The index formed a lower-high pattern, which indicates continued downward pressure.Analysts suggest the 77,500 will act as a key resistance in the short-term. Market sentiment will likely stay bearish until the index breaks above this resistance level. On the downside, the index could retest the 76,300 support level, while a sustained correction might push it towards the 76,000-75,800 range.Nifty 50 OutlookThe Nifty 50 continues to trade below key moving averages, reinforcing the broader bearish trend. The index formed a long bearish candle after failing to sustain near the 24,300 level earlier in the week.The Relative Strength Index (RSI) nears 30, approaching the oversold territory. Nifty faces immediate resistance at 24,050, while 23,700 remains a key support level. Derivatives data show significant put writing at 23,700 strike, suggesting strong support, while heavy call writing can be seen at 24,000 strike.Also Read: US Stock Market Today: Wall Street Slides as Oil Prices Surge on Iran War Risks and Fed Rate ConcernsBank Nifty OutlookThe Bank Nifty declined 1,215 points or 2.13% to close at 55,735.75, forming a large bearish candle on the daily chart.The 55,400-55,300 will act as a key support zone. A break below this level could lead the index toward 54,900 and 54,500 in the short term. On the upside, 56,100-56,200 remains a strong resistance zone.Key Market TriggersThe recent rise in the prices of Brent crude, which recently approached $92.8 per barrel, has created inflation concerns across the world. The US-Iran conflict remains the key driver for market volatility.The India VIX surged past 20, suggesting traders expect upcoming sessions to have wider price swings.

OverviewModern AI laptops come with dedicated Neural Processing Units (NPUs) that are ideal for boosting AI-related tasks. The presence of robust GPUs supports deep learning, neural network training, and experimentation with various models. The combination of high RAM and fast storage significantly enhances the performance of machine learning workloads.Working with artificial intelligence requires highly powerful computing resources. Without powerful processors, graphics cards, and fast memory, it is nearly impossible to train machine learning models, run neural networks, and process large datasets. Modern laptops are equipped with components designed to enhance the performance of AI-related tasks.Developers, data scientists, and students looking for the best laptop for AI should focus on systems that offer a strong combination of CPUs, standalone GPUs, and ample RAM. These features enable smooth operation with machine learning frameworks, extensive training datasets, and complex AI applications.When deciding on the best AI laptop with Neural Processing Units (NPUs), several factors must be considered, including GPU performance, maximum RAM capacity, storage speed, and compatibility with the intended development tools. Why AI Laptops Are Becoming More PopularThe rapid advancement of AI technology is impacting nearly every industry worldwide. Growth of Machine LearningMost companies use machine learning not just for data analysis but also for process automation and product improvement. Creative AI ApplicationsArt, video editing, and content production tools that incorporate AI functionality depend on powerful hardware.Student DemandUniversities are expanding their AI courses, leading to a surge in requests for the best laptops to learn AI. Edge AI ProcessingNPUs enable a laptop to perform AI operations within the system. This ensures that users are not entirely dependent on cloud computing.Also Read: Best Laptops for Data Science & Machine Learning in 2026Best AI Laptops with NPU for Machine Learning and DevelopmentHere are six of the widely recommended AI laptops for artificial intelligence tasks1. Apple MacBook Pro (M3 Max)The MacBook Pro M3 Max is an excellent device for performing AI-related tasks. It features a separate Neural Engine that accelerates machine learning tasks, and the powerful GPU handles heavy, graphics-intensive applications. The MacBook Pro is an excellent choice for developers who rely heavily on TensorFlow, PyTorch, and Core ML as their main AI frameworks.Key FeaturesApple M3 Max chip with advanced Neural EngineUp to 128GB unified memoryHigh‑performance GPU for AI workloadsExceptional battery lifeOptimized machine learning performanceThis device stands among the best laptops for artificial intelligence students and developers working in macOS‑based environments.2. Dell XPS 15 (AI‑Ready Configuration)Dell XPS 15 continues to rank among the top laptops for AI and creative tasks, thanks to its combination of Intel CPUs and dedicated NVIDIA GPUs that excel at machine learning.Many developers favor this machine for its decent combination of performance, portability, and build quality at a premium price.Key FeaturesIntel Core Ultra processorNVIDIA RTX graphics for deep learningRAM up to 64GBLED display with high resolutionNVMe SSD storage for fast accessThe model is ideal for research scholars who require a laptop that comes with a GPU for deep learning.3. ASUS ROG Zephyrus G16ASUS ROG Zephyrus series offers great performance not only for gaming but also for running AI applications. The strong GPU in the laptop can easily train neural networks and deep learning models. The laptop comes with high-performance cooling, which helps keep the system's performance steady even during long computational tasks.Key FeaturesCore Ultra processorNVIDIA RTX 4060 or RTX 4070 GPURAM up to 32GBDisplay with a high refresh rateSuperior cooling systemThis model is a strong choice as the best laptop for AI and ML that require GPU acceleration.4. Lenovo ThinkPad P1 Gen 6The ThinkPad P1 is a high-end workstation tailored for engineering, data science, and AI workloads. It comes with a GPU and a strong processor. Experts generally consider this laptop their best choice for analytics, R&D, and developing enterprise-grade applications.Key FeaturesIntel Core i9 processorNVIDIA RTX workstation GPUUp to 64GB RAMReliability at a professional grade levelSecurity features beyond the ordinary This device is also among the best machine learning laptops in a professional setting.5. Microsoft Surface Laptop Studio 2The Surface Laptop Studio 2 by Microsoft delivers excellent performance for developers who use creative AI tools and machine learning software and work on data analysis projects. Its convertible option lets users change it from a laptop into the studio mode while programming and performing other creative tasks. Key FeaturesIntel Core processorNVIDIA RTX GPUHigh-resolution touchscreen displayFast SSD storageLightweight designStudents generally prefer this laptop for studies on artificial intelligence, mainly because of its portability and performance. 6. HP ZBook Studio G10HP ZBook Studio is a powerful workstation designed for data science, engineering, and machine learning tasks. Its professional GPU allows high-speed processing of complex models. Several research professionals depend on this system for large AI projects and advanced simulations.Key FeaturesIntel Core i9 processorNVIDIA RTX workstation GPUUp to 64GB RAMProfessional workstation reliabilityStrong GPU performanceThis device is one of the most powerful AI laptops in the current market for carrying out advanced development work. How to Choose the Best Laptop for AIChoosing a suitable laptop for artificial intelligence development is a matter of considering the technology specs of a machine.Powerful GPUA really good GPU is still a must when it comes to training machine learning models and neural networks. NVIDIA RTX GPUs are the ones that are widely used for deep learning workloads.High RAM CapacityAI workloads require handling large datasets and performing complex computations. Thus, many developers prefer laptops with 32GB or more of RAM.Fast StorageNVMe SSD is a storage medium that enhances data loading speeds and the performance of model training significantly.Dedicated AI HardwareChips introduced NPUs to accelerate AI tasks, enabling machine learning applications to run faster.Cooling and Performance StabilityA robust cooling system ensures steady performance during long and continuous operation.Also Read: Best-Selling AI-Powered Laptops in India Right NowConclusionThe best AI laptops are essential for developers, researchers, and students working on machine learning tasks. Laptops equipped with powerful GPUs, ample RAM, and dedicated AI chips can deliver the performance required for deep learning and data analysis. Investing in a high-quality laptop for AI is a wise decision, as it will ensure smooth performance for future artificial intelligence projects.FAQs1. What is an AI laptop? An AI laptop comes with specific components like GPUs and NPUs that speed up machine learning and AI operations. 2. How much RAM is required for AI development? A good number for machine learning is 32GB RAM, as this size makes the developers happy most of the time. 3. Do AI laptops require a GPU? The answer is yes, of course. GPUs help a lot when it comes to performance in deep learning and training neural networks. 4. What laptop is best for artificial intelligence students? A laptop packed with an excellent GPU, a good CPU, and 1632 GB of RAM would be the perfect AI student's laptop. 5. Why are NPUs important in AI laptops? NPUs help to speed up AI operations and make running machine learning apps more efficient, even when working at a local level.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:India’s semiconductor ecosystem is expanding rapidly, creating strong growth potential for semiconductor stocks such as HCL Technologies, Bharat Electronics, and Vedanta.Companies involved in chip design, electronics manufacturing, and defense electronics are benefiting from rising semiconductor demand across industries.Government incentives and global supply chain shifts are accelerating semiconductor investments, making related stocks attractive for long-term investors.Semiconductors are one of the most important technologies in today’s digital world. Chips are used in many devices such as smartphones, electric cars, defense equipment, medical machines, data centers, and smart home appliances. As technology evolves, the demand for these chips also increases. This has pushed India to build its own semiconductor infrastructure. Government support, manufacturing incentives, and changes in global supply chains are encouraging companies to invest in electronics, chip design, and semiconductor-related technologies. Many companies listed in India do not manufacture semiconductor chips directly. However, they play an important role in the semiconductor industry. Some companies design chips, some manufacture electronic products, and others provide electrical systems and advanced engineering solutions. These businesses benefit when the semiconductor industry grows. Strong financial performance, good return ratios, and rising demand make these companies potential high-growth opportunities.HCL Technologies Ltd – Semiconductor Design CapabilitiesHCL Technologies Ltd operates in IT Services & Consulting and plays an important role in semiconductor engineering and chip design services for global technology firms. The company has a market capitalization of Rs. 3,67,570.63 crore and trades at Rs. 1,361.50 with a PE ratio of 21.14. Recent performance shows a 1-day return of 0.21%, while the stock declined by -14.64% in one month, -7.00% in six months, and -12.12% in one year.Despite short-term weakness, strong profitability supports long-term growth. The company has a PB ratio of 5.28, ROE of 25.21, and ROCE of 31.27. Dividend yield stands at 4.43% with a low debt-to-equity ratio of 0.09. The stock’s volatility against Nifty is 1.94. Semiconductor design services are driving growth as global chip companies outsource engineering work.Bharat Electronics Ltd – Defense Electronics LeaderBharat Electronics Ltd is one of India’s leading defense electronics manufacturers. The company develops radar systems, communication equipment, electronic warfare technology, and advanced defense electronics that rely heavily on semiconductor components.The company has a market cap of Rs. 3,34,312.73 crore, a current market price of Rs. 457.35, and a PE ratio of 62.82. Short-term movement shows a -2.37% return in one day but strong performance over longer periods with a 5.76% return in one month, 22.96% in six months, and 67.94% in one year.Strong financial efficiency supports growth. The PB ratio is 16.72, while ROE stands at 29.29 and ROCE at 33.75. Dividend yield is 0.52% with a zero debt-to-equity ratio. Volatility against Nifty is 2.14. Rising defense spending and indigenous electronics manufacturing strengthen future demand.Vedanta Ltd – Semiconductor Manufacturing AmbitionsVedanta Ltd operates in diversified metals but has announced large investments in semiconductor manufacturing and chip fabrication in India. This strategic expansion could transform the company into a major semiconductor player in the coming decade.Vedanta has a market capitalization of Rs. 2,77,245.63 crore and trades at Rs. 722.00 with a PE ratio of 18.50. Performance stays strong with a 1-day return of 1.78, a 1-month return of 5.29%, a 6-month return of 66.47%, and a 1-year return of 65.07%.The company has a PB ratio of 5.16, ROE of 31.28, and ROCE of 29.11. The dividend yield is high at 6.13%. However, the debt-to-equity ratio is 1.70, and volatility against Nifty is 2.53. Semiconductor investments could significantly change the company’s long-term growth outlook.Also Read - Top Cybersecurity Stocks to Buy in March 2026ABB India Ltd – Automation and Semiconductor EquipmentABB India Ltd operates in heavy electrical equipment and industrial automation. Semiconductor manufacturing requires advanced robotics, automation systems, and electrical infrastructure, where ABB technologies are important.The company has a market cap of Rs. 1,26,774.19 crore with a close price of Rs. 5,982.50 and a PE ratio of 75.99. Returns include -1.31% in one day, 3.79% in one month, 16.57% in six months, and 15.93% in one year.The PB ratio is 17.92, with ROE of 28.75 and ROCE of 31.59. Dividend yield is 0.66%, while the debt-to-equity ratio is extremely low at 0.01. Volatility against Nifty stands at 2.04. Growth in automation and semiconductor fabs may increase demand for advanced electrical systems.Dixon Technologies – Electronics Manufacturing ExpansionDixon Technologies (India) Ltd is one of India’s largest electronics manufacturing services companies. The firm manufactures smartphones, televisions, lighting products, and other electronic devices that depend heavily on semiconductor supply.The company has a market cap of Rs. 59,610.18 crore with a trading price of Rs. 10,908.00 and a PE ratio of 54.41. The stock recorded a strong 1-day return of 11.26% but declined by -7.73% in one month, -39.05% in six months, and -16.93% in one year.Financial strength is impressive with a PB ratio of 17.14, ROE of 42.06, and ROCE of 41.60. Dividend yield is 0.08%, while debt to equity stands at 0.19. Volatility against Nifty is 2.87. Rapid growth in electronics manufacturing could drive long-term expansion.Tata Elxsi Ltd – Chip Design and Automotive ElectronicsTata Elxsi Ltd operates in software services and provides semiconductor design, embedded engineering, and automotive electronics solutions. These services are essential for electric vehicles, autonomous technology, and smart devices.The company has a market cap of Rs. 26,810.62 crore with a close price of Rs. 4,356.60 and a PE ratio of 34.16. Performance shows a 1-day return of 1.23%, while the stock declined by -17.25% in one month, -25.45% in six months, and -20.84% in one year.The PB ratio is 9.37 with ROE of 29.26 and ROCE of 34.31. Dividend yield stands at 1.74% with a low debt-to-equity ratio of 0.07. Volatility against Nifty is 2.41. Growth in automotive chips and AI-driven electronics may support long-term demand.Also Read - Top Energy Stocks in India: 2026 Investment PicksFinal Thoughts India’s semiconductor industry is still growing, but strong government support and rising demand for electronics are creating massive opportunities. Changes in the global supply chain are also helping India become an important place for semiconductor production. Companies that work in chip design, electronics manufacturing, defense electronics, and automation can benefit from this growth.Companies like HCL Technologies, Bharat Electronics, Vedanta, ABB India, Dixon Technologies, and Tata Elxsi have strong financial performance and work closely with semiconductor-related industries. As India improves its chip manufacturing and increases electronics production, these companies could become important high-growth semiconductor stocks in the coming years.FAQsWhat are semiconductor stocks?Semiconductor stocks refer to companies involved in chip design, manufacturing, electronics production, or technologies that support semiconductor production.Why are semiconductor stocks gaining attention in India?Rapid digital growth, government support for chip manufacturing, and increasing demand for electronics and electric vehicles are boosting the sector.Is HCL Technologies connected to the semiconductor industry?HCL Technologies provides semiconductor engineering and chip design services for global technology companies.Why is Bharat Electronics considered a semiconductor-related company?Bharat Electronics develops advanced defense electronics such as radar and communication systems that rely heavily on semiconductor components.What role does Vedanta play in India’s semiconductor sector?Vedanta has announced large investments in semiconductor manufacturing and chip fabrication projects in India.

OverviewBuying gold with cryptocurrency is growing fast as investors combine the stability of gold with the flexibility of digital assets.Major platforms such as Bitget, Binance, Coinbase, and systems supporting Tether Gold allow easy access to tokenized gold.Tokenized gold lets investors trade, transfer, or hold gold digitally while it remains backed by physical bullion stored in secure vaults.Buying gold with cryptocurrency is becoming an extremely popular practice. In the past, the precious metal was usually bought with cash, bank transfer, or through a broker. Digital currencies like Bitcoin and Ethereum can also be used to purchase it now.This new system works through blockchain technology. Blockchain helps record transactions transparently and securely. Many platforms now offer tokenized gold, which means digital tokens represent real gold stored in secure vaults.Interest in this sector has grown quickly. Recent industry data shows that the tokenized gold market passed $5.4 billion in market value in early 2026. Trading activity has also increased a lot, with over $126 billion in trading volume recorded during the last quarter of 2025.Tokenized gold allows investors to own the precious metal without storing it physically. It can also be traded easily like cryptocurrency. Let’s take a look at the best platforms to buy gold with crypto, along with the benefits they have to offer.BitgetBitget is a fast-growing cryptocurrency exchange. The platform supports trading of gold-backed tokens such as PAXG and XAUT.More than 1,300 cryptocurrencies are listed on the exchange. This allows investors to trade many digital assets along with gold tokens. Bitget also offers copy trading and advanced trading tools.BinanceBinance is one of the largest crypto exchanges in the world. The platform facilitates trading of gold-backed tokens like Paxos Gold (PAXG).Many investors use Binance for its low trading fees and high liquidity. Strong security and many trading features make the platform very popular.CoinbaseCoinbase is known for its simple design and strong security systems. The platform sees considerable usage from beginners who are new to cryptocurrency.Institutional investors also use Coinbase as it ensures secure custody services and insurance protection for stored digital assets.Also Read - Coinbase Resumes India Operations, Invests in CoinDCX to Strengthen Market FootprintKinesis MoneyKinesis Money is a blockchain system built around precious metals. It enables people to own digital gold that is backed by real gold stored in vaults.One unique feature of Kinesis is its reward system. Users can receive small rewards when transactions occur on the platform.BitgildBitgild is different from many crypto platforms. Instead of digital tokens, it sells real physical gold and silver.Customers can pay with cryptocurrency and choose to receive the metals at home or store them in secure vaults.INXINX is a regulated platform that focuses on tokenized real-world assets. It offers trading for gold-backed digital tokens.The platform is known for transparency and compliance. It verifies that the gold behind the tokens actually exists.Tether GoldTether Gold, also called XAUT, is another gold-backed digital asset.Each token represents a specific amount of gold stored in vaults in Switzerland. Investors can trade or transfer this digital gold easily across blockchain networks.MEXC ExchangeMEXC is a global cryptocurrency exchange that lists many digital assets. It also supports trading of gold-backed tokens such as PAXG.Fast transactions and competitive trading fees have helped the platform grow quickly.Also Read - Are Policy Shifts and Global Tensions Affecting Bitcoin Trading in 2026?Perth Mint Gold Token PlatformsThe Perth Mint ecosystem provides blockchain tokens backed by gold stored by the government-owned Perth Mint in Australia.These tokens combine the trust of a traditional gold refinery with modern blockchain technology. Investors can trade the tokens or redeem them for real gold.Final Thoughts Buying gold with cryptocurrency is changing how people invest in precious metals. Blockchain technology makes it possible to buy, sell, and transfer gold quickly and easily.With the tokenized gold market already above $5.4 billion and trading activity continuing to rise, digital gold is becoming an important part of the crypto economy.Platforms like Bitget, Binance, Coinbase, Paxos, and Tether Gold perfectly connect traditional gold investment with modern digital finance.You May Also Like:Gold vs. Crypto: Which became the Better Hedge in 2026?Gold vs Crypto: Which Investment Will Give Higher Returns in 2026?Is Bitcoin Still the Gold Standard for Crypto?FAQs1. What does buying gold with crypto mean?Buying gold with crypto means using cryptocurrencies like Bitcoin or Ethereum to purchase gold-backed tokens or physical gold through specialized platforms.2. What is tokenized gold?Tokenized gold is a digital token on a blockchain that represents real gold stored in secure vaults. Each token usually equals a specific amount of physical gold.3. Is buying gold with cryptocurrency safe?It can be safe when using trusted platforms that provide verified gold backing, strong security systems, and transparent storage details.4. Can tokenized gold be converted into physical gold?Some platforms allow redemption of tokens for real gold bars or coins, depending on the provider’s rules and minimum redemption requirements.5. Why are investors interested in gold-backed crypto assets?Gold-backed tokens combine the stability of gold with the speed, global access, and liquidity of blockchain-based digital assets.

Overview:Enabling iCloud Photos ensures your images are synced, backed up, and accessible across Apple devices without manual intervention.Storage optimization and duplicate removal help users manage growing photo libraries while freeing up valuable device space.Built-in sorting tools like People, Places, and Search simplify the process of quickly locating memories within large collections.iPhones are known for capturing high-quality images. However, the storage for media files decreases over time as the number of pictures and videos increases. This also makes it difficult for users to locate particular pictures. Apple addresses these issues by providing its users with built-in apps that handle automatic backups and organize pictures into various albums and categories. Step-by-Step Guide: How to Declutter iPhone PhotosYou can follow these steps to ensure your data is easily accessible:Turn On iCloud PhotosEnable iCloud Photos to back up images automatically. The feature uploads every photo and video to cloud storage and keeps the library synced across Apple devices linked to the same account.Open SettingsTap your nameGo to iCloud > PhotosToggle on ‘Sync this iPhone’The device will automatically upload new photos.Enable Automatic iCloud BackupTurn on full iPhone backup to protect device data beyond photos. This setting saves app data, system settings, and other information. Users can restore the backup when they switch devices or reset the phone.Open Settings > Apple ID > iCloudTap iCloud BackupTurn on Back Up This iPhoneThe device performs backups when it connects to Wi-Fi, remains locked, and is charging.Also Read: Top 10 Photo Sharing Apps For Photographers in 2025Manage Storage With OptimisationLarge photo libraries consume storage quickly. Apple allows users to store full-resolution files in the cloud and keep smaller versions on the device. This setting helps users capture photos without frequent deletions.Open Settings > Apple ID > iCloud > PhotosSelect Optimize iPhone StorageThe system frees local space when storage levels drop.Use Automatic Sorting in the Photos AppThe Photos app groups images using face recognition, location data, and timelines. These tools help users locate photos faster and reduce manual sorting.Features:‘People’ albums group recognised faces‘Places’ view sorts images by location‘Months’ and ‘Years’ views improve navigation‘Search’ finds photos using keywordsUsers can rely on these features for everyday organisation.Remove Duplicate ImagesDuplicate files increase clutter and reduce available storage. Apple provides a built-in option to merge them.Open the Photos appScroll to Utilities > DuplicatesTap MergeThe system keeps the best-quality version and removes extra copies.Create a Few Core AlbumsUsers should create a small number of broad albums such as Travel, Work, Family, or Screenshots. Occasional sorting keeps important photos easy to access. This approach supports automated organisation without daily effort.Also Read: Apple is About to Simplify Photo Uploads from iPhone to Third-Party AppsThe TakeawayUsers can keep their photo collections safe and neatly organized by enabling iCloud syncing, setting up automatic device backups, and using the simple organizational tools available. Once these settings are enabled, the process is almost effortless.New photos are uploaded automatically, photos are updated, and memories are kept safe even if the phone is lost or damaged. Smart search and grouping features help you find photos by date, location, or person. With little effort, you can ensure your photos are safe, clean, and organized.You May Also Like:Google’s Gemini App Introduces New AI-Powered Photo Editing FeaturesHow to Convert Multiple Live Photos Into One Video on iPhoneHow to Capture Photos and Record Videos on iPhone Using AirPodsFAQs1. How can I automatically back up iPhone photos?Users can enable iCloud Photos and iCloud Backup in Settings. Once activated, the iPhone uploads new photos to cloud storage automatically when connected to Wi-Fi.2. Will organising photos affect the original image quality?No. The Photos app keeps original full-resolution files in iCloud. If storage optimization is enabled, the device stores smaller versions without changing originals.How do I find duplicate photos on my iPhone?Open the Photos app, scroll to Utilities, and tap Duplicates. The system identifies similar images and allows users to merge them easily.3. Can I access organised photos on other Apple devices?Yes. When iCloud Photos sync is activated, users can view their organised library across iPhones, iPads, and Macs signed in to the same Apple account.4. What happens to photos if I lose my iPhone?If iCloud backup and syncing are enabled, users can restore their photo library on a new device by signing in. This ensures memories remain safe.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

A long-awaited moment for Mario fans has been teased. Nintendo and LEGO have revealed that LEGO Super Mario minifigures will finally arrive in 2027. A teaser from Nintendo America officially revealed this news during the MAR10 Day celebrations. In the clip, Mario jumps out of a green pipe in classic LEGO minifigure style.This announcement marks a big shift in the LEGO Super Mario theme. Since their launch in 2020, the sets have primarily featured large interactive Mario figures with screens and sensors. These figures were designed for digital gaming rather than traditional LEGO building.For years, fans have asked for a smaller Mario to match the size of standard LEGO minifigures. With the 2027 sets, LEGO is finally moving toward that classic format.LEGO Super Mario Minifigure Sets Finally ArriveThe upcoming sets will introduce Mario in standard minifigure scale. Mario's design will still be the one we know: a red cap, a moustache, and blue overalls. However, the character is expected to match the size of other LEGO figures.New form unlocked! New sets coming in 2027 #LEGOSuperMario pic.twitter.com/OAqcN8VmP3— Nintendo of America (@NintendoAmerica) March 10, 2026 Earlier LEGO Super Mario sets mostly focused on interactive play. Players could move the electronic Mario figure across courses, collect coins, and trigger sounds. While the feature was fun, it limited the character's use in other LEGO builds.This new minifigure format seems to reflect a shift toward more traditional gameplay. Builders will most likely see classic level scenes, enemy characters, and friendly builds. This could also mean more collectible figures in the future.Why Fans are Excited and What the New Sets May IncludeThe announcement has quickly excited both LEGO collectors and Mario fans. Players have been asking for a proper minifigure version of Mario since the Nintendo-LEGO partnership began. A smaller figure means it can fit into custom builds and LEGO City displays. Fans can also combine it with other themes. This flexibility is one of the major reasons minifigures remain the most popular part of LEGO sets.There is also strong speculation that other characters will join the lineup. Luigi, Princess Peach, Bowser, and even classic enemies could appear in minifigure form. The teaser showing a warp pipe also hints that sets may recreate famous locations from the Super Mario games.Also Read: What’s Coming to Nintendo Switch 2 in 2026 and Beyond?Will This Move Strengthen Nintendo’s Gaming Presence?Nintendo is already one of the strongest gaming platforms in the world. However, in the increasingly competitive gaming industry, it is necessary to maintain a loyal fanbase and expand it gradually. The LEGO partnership has created an opportunity to make the characters visible beyond consoles. If Mario comes as a minifigure, it will allow the fans to collect their favorite character forms as toys. This will create a new fan community over time, expanding Nintendo’s popularity. If the sets arrive in 2027, it will attract both gamers and LEGO collectors. In the long run, the shift to minifigures may turn the LEGO Super Mario theme into a lasting part of Nintendo’s appeal.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Kevin Mandia has launched a new cybersecurity company, Armadin, with $189.9 million in combined seed and Series A funding. The company announced the financing on March 10 and described it as a record combined raise for an early-stage cybersecurity startup. Armadin plans to build autonomous AI agents that identify exploitable risks and help companies respond faster to cyber threats.Mandia founded Mandiant in 2004 and sold the company to Google for $5.4 billion in 2022. Armadin marks his return to cybersecurity at a time when attack methods are becoming faster and more automated. The startup says it is building for a market shaped by agentic AI and machine-speed cyberattacks.Investors Back Armadin With $189.9 Million at LaunchAccel led the funding round, while GV, Kleiner Perkins, Menlo Ventures, In-Q-Tel, 8VC, and Ballistic Ventures also joined. Armadin did not disclose its valuation. The financing gives the startup a strong position at launch and signals major investor interest in AI-native cybersecurity.Armadin says its platform will focus on autonomous security operations and continuous offensive testing from an attacker’s perspective. The company wants to help enterprises uncover exploitable risks before malicious actors can use them. Its launch message centers on speed, scale, and constant security evaluation.Investor support also reflects rising interest in AI-focused security platforms across the industry. Companies now face increasing pressure to defend networks against more adaptive attacks. Armadin says manual reviews and periodic checks no longer match the pace of modern threats. Its platform aims to automate more of the work security teams have historically handled by hand.Armadin Targets AI-Led Threats With Autonomous AgentsMandia warned that artificial intelligence will reshape cybersecurity more quickly than many previous technology shifts. In Armadin’s launch post, he said the industry has entered a period where capable threat actors can automate and scale attacks more effectively. He argued future intrusions will become more persistent, more adaptive, and less limited by human speed.He made a similar point in remarks tied to the company’s launch. “I wasn’t going to sit on the sidelines watching another shift change in cybersecurity without leveraging 30 years in the industry to do something,” Mandia said. He also said Armadin uses agentic tools to complete work in minutes that used to take days.Armadin’s message focuses on giving defenders their own automated capabilities as offensive tools improve. Mandia has said AI on offense will create systems that can think, learn, and adapt. He warned that attackers could complete operations in minutes that once required days. Armadin wants security teams to counter that shift with automated agents built for defense.Experienced Security Leaders Form Armadin’s Core TeamArmadin’s co-founders are Travis Lanham, Evan Peña, and David Slater. Each brings experience from Mandiant, Google Cloud Security, or Google SecOps. The company says it combines offensive security expertise with AI-native engineering to automate red-team style work across the attacker lifecycle.Mandia said Armadin was founded in September and has hired more than 60 employees in the past six months. He also said the company has already started working with Fortune 100 customers. Early hiring and customer activity indicate Armadin entered the market with an operating business rather than a research concept.Armadin’s launch also arrives as security leaders and government agencies warn that AI is lowering the barrier for sophisticated cyberattacks. The company’s position is that defenders will need their own automated systems to keep pace with AI-enabled adversaries. With nearly $190 million in fresh capital, Mandia is building Armadin around that view from the outset. Also Read: Best Cybersecurity Companies in the UK (2026)Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewAI-driven real-time analytics will transform how organizations interpret data and make decisions.Edge computing, cloud platforms, and modern data architectures enable faster, scalable data processing.Growing demand for data professionals creates new career paths across analytics and AI.In less than a decade, big data evolved from a high-tech buzzword into the nervous system of the global economy, and it's still accelerating. The world has moved rapidly from storing data in massive, passive "lakes" to demanding that same data think, adapt, and act in real time. This shift marks a fundamental transition in analytics: from retrospective reporting to autonomous intelligence, where the gap between gathering information and executing a business decision collapses to nearly zero.The competitive calculus has changed permanently. Organizations can no longer afford to ask only what happened last quarter; survival now depends on predicting what will happen in the next hour. With advancements in Artificial Intelligence and automated processing, analytics has become less a function of business and more its central nervous system, reshaping industries from personalized healthcare to high-frequency finance. The question is no longer whether to embrace this evolution, but how fast.Big Data Analytics Trends to Watch in 2026The landscape is shifting toward a "collaborative" relationship between humans and machines. Among the most significant big data analytics trends to watch in 2026 is the rise of generative AI and agentic analytics. We are moving past static, manual dashboards. Instead, "data agents," autonomous AI entities now investigate anomalies across supply chains or social sentiment and present pre-vetted solutions before a human even realizes there is a problem.Future of Big Data AnalyticsThe second major trend businesses are currently experiencing is Data Democratization. Natural Language Processing (NLP) enables users to access complex database systems that were previously restricted to IT professionals. The marketing manager can now use plain English to request the system to "Compare last week’s regional conversion rates against our five-year average," and the system will provide an immediate visual response.The organization transforms into a data-driven, innovative entity when this practice becomes an enterprise-wide norm rather than existing only within particular departments.Also Read: Top Big Data Analytics Tools and Platforms in 2026Technologies Redefining the LandscapeThe future of big data analytics is being built on decentralized, high-speed architectures that handle volume without sacrificing security. Key technologies include:Edge Computing and Real-Time Processing: As IoT devices proliferate, processing data at the source minimizes latency. Businesses are acting on data the millisecond it is generated, rather than waiting for it to travel to a distant cloud.Data Mesh and Fabric: To address centralized data storage bottlenecks, enterprises are turning to data mesh architecture. The system treats data as a product that particular business domains, such as HR and Finance, can control. Data Fabric then uses AI to create an intelligent metadata layer that seamlessly connects these disparate sources.Privacy-Enhancing Technologies (PETs): With tightening global regulations, the future belongs to Synthetic Data and Differential Privacy. These allow companies to train robust AI models and share insights without ever exposing actual customer personal information.Career Horizon: New Roles and SkillsThe data explosion has created a substantial shortage of qualified professionals while organizations continue to update their definition of an "ideal candidate" for job openings. The basic skills for today's workforce include Python, SQL, and Spark, but professionals must also develop AI-augmented capabilities to succeed in their roles.New and highly sought-after roles include:Analytics Engineer: This role sits between Data Engineering and Data Science, transforming raw data into structured datasets for analysis.MLOps Specialist: As AI moves from the lab to the real world, specialists who can manage the lifecycle, deployment, and monitoring of machine learning models are in high demand.Data Storyteller: In a world of automated insights, the human ability to provide context and "the why" behind the numbers remains the most valuable soft skill.Also Read: Best Real-World Examples of Big Data Analytics in BusinessConclusionBig data's future extends beyond its increasing data volume as it requires assessment of both data processing speed and data accuracy. Organizations that operate under decentralized governance structures and leverage real-time data processing capabilities will succeed as data management increasingly combines with artificial intelligence technologies. Professionals need to learn how to use the tools that connect technical systems with business goals to advance their careersYou May Also LikeBig Data Analytics Explained: How It Works and Why It MattersTypes of Big Data Analytics: Descriptive, Predictive, and Prescriptive AnalyticsBest Big Data Analytics Firms in India to Watch in 2026Top 10 YouTube Channels to Learn Big Data AnalyticsFAQs1. What is the future of big data analytics?The future of big data analytics depends on AI-driven insights, real-time processing, and automated systems, which enable organizations to analyze complex data for better business decision-making.2. Why is big data analytics becoming more important for businesses?Businesses rely on big data analytics to understand customer behavior, improve operations, reduce risks, and identify new opportunities using accurate, data-backed insights.3. What industries benefit the most from big data analytics?Data analysis enables the healthcare, finance, retail, manufacturing, and technology industries to improve operational efficiency, anticipate future developments, and enhance customer satisfaction.4. What skills are required for a career in big data analytics?The field needs professionals who can demonstrate strong Python and SQL skills, apply data visualization techniques, machine learning fundamentals, and cloud computing services, and effectively present their findings through data storytelling.5. How will AI influence the future of big data analytics?Artificial intelligence will automate data analysis, uncover hidden patterns, and generate insights faster, allowing organizations to move from reactive reporting to proactive decision-making.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Ethereum’s network activity has reached record highs across several metrics, yet ether’s price and base-layer fees continue to lag. A March 10 report from CryptoQuant found daily active addresses approached two million in February 2026. The surge surpassed levels recorded during the 2021 bull market. At the same time, ether has dropped roughly 30 percent over the past six months, while network fees remain low.The report shows that Ethereum processes more activity than before. Yet market performance has moved in the opposite direction. The divergence has created an unusual situation for the blockchain’s native token.CryptoQuant recorded more than 40 million daily smart contract calls during the same period. Token transfers driven by internal contract interactions also reached new highs. These metrics show strong adoption across decentralized finance, stablecoins, and automated protocol activity.Yet Ether has struggled to keep pace with that growth. The token’s market performance has weakened even as network usage expands. Why does record Ethereum activity fail to lift Ether’s market value?Record Network Activity Expands Across EcosystemCryptoQuant data show that Ethereum’s daily active addresses climbed to nearly 2 million in February. The figure exceeded peaks recorded during the last major bull market in 2021. Active addresses represent unique wallets that send or receive transactions within a specific period.The growth reflects rising participation across Ethereum applications. DeFi platforms, stablecoin transfers, and automated smart contract systems continue to generate large volumes of activity. These services rely on Ethereum infrastructure for execution and settlement.Meanwhile, smart contract calls crossed the 40 million mark per day. These calls represent instructions embedded within blockchain code that trigger automated functions. For example, they allow decentralized platforms to execute financial transactions without intermediaries.Token transfers linked to internal contract activity also reached record levels. These transactions occur when smart contracts automatically transfer tokens between accounts. The trend signals growing automation across blockchain finance.Traditionally, stronger user activity often supported the value of a blockchain’s native token. Demand for ETH usually increases when users interact with applications because the token pays transaction fees. Yet that pattern has weakened during the current cycle.Capital Flows and Selling Pressure Shape Market BehaviorEther’s price performance has diverged sharply from the network’s usage data. The token has declined roughly 30 percent over the past six months. The one-year change in Ethereum’s realized capitalization has also turned negative.Realized capitalization measures the value of assets based on the price when coins last moved. A negative shift signals net capital leaving the market. Therefore, the data suggests investors have withdrawn funds despite rising activity.Exchange flow data provides another explanation. CryptoQuant reported that ether is moving to trading venues faster than Bitcoin. Such movements often precede selling activity.When investors send tokens to exchanges, they typically prepare to sell or rebalance portfolios. Consequently, higher exchange inflows can increase selling pressure. That pressure can weaken prices even during periods of strong network growth.Analysts say liquidity conditions now influence ETH price movements more than network usage. Market behavior and capital flows have gained stronger influence over valuation. As a result, activity alone no longer determines price direction.Read More: Ethereum Price Outlook: Can Network Upgrades Drive a March Recovery?Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Solana is one of the fastest blockchain networks, processing over 10,000 transactions per second with extremely low fees.The Solana ecosystem is growing quickly, with around 17,700 active developers and trillions in decentralized exchange trading volume.Companies like Rapid Innovation, LeewayHertz, Revinfotech, Helius, and Antier Solutions are helping businesses build scalable Web3 and blockchain applications.Solana is one of the most important platforms in the cryptocurrency sector, known for its speed and low transaction costs. The network can process more than 10,000 transactions a second, while the average transaction fee is usually less than $0.01. This makes Solana a decent choice for developers building large-scale decentralized applications.Solana has seen massive growth during the last few years. Reports show that more than 11,500 new developers joined the Solana ecosystem in 2025. This increases the total number of globally active developers to nearly 17,700. The growth shows that more companies and builders are choosing Solana for their blockchain projects.The network has also achieved impressive financial activity. Solana recorded approximately $17 trillion in decentralized exchange trading volume. Institutional investors are also showing interest through billions of dollars of investments into projects built on the network. These numbers highlight the increasing importance of Solana in the global blockchain industry.Several companies stand out for their innovation, experience, and contribution to the ecosystem.Rapid InnovationRapid Innovation is a blockchain development company that works on advanced decentralized technologies. It develops solutions using Solana for industries such as finance, gaming, and digital marketplaces.The company combines artificial intelligence with blockchain technology to create systems that can automatically analyze data, improve decision-making, and increase efficiency for Web3 platforms.The company also develops smart contracts, decentralized applications, and NFT marketplaces on the Solana network. Many startups and enterprises choose this firm as it offers complete development services, from project design to final deployment. Its focus on performance and scalability makes it a strong participant in the growing Solana ecosystem.LeewayHertzLeewayHertz is known for building enterprise-level blockchain solutions. It offers various services related to Solana, such as smart contract development, decentralized application creation, and token platforms.The company helps traditional businesses adopt blockchain technology across supply chain management and digital identity systems. Businesses can handle large numbers of transactions without high fees by using Solana’s infrastructure.Security is also a major priority for the company. Teams carefully test and audit blockchain code to make sure applications run smoothly and safely. This approach helps organizations launch reliable decentralized platforms.Also Read - Is Rising ETF Demand a Bullish Signal for Solana?RevinfotechRevinfotech has built a strong reputation in the Web3 development space. The company provides complete Solana development services to startups and enterprises planning to enter the blockchain market.The firm specializes in building decentralized applications, NFT platforms, and DeFi systems. Its development teams guide clients through the entire process, starting from concept design to deployment on the Solana network.Revinfotech focuses heavily on customized blockchain solutions. Each project is designed to match the specific needs of the business. This flexible approach has helped the company work with clients from multiple industries like finance, gaming, and digital services.HeliusHelius focuses on creating tools that help developers build better blockchain projects instead of only building end-user applications. It provides advanced APIs, data indexing systems, and developer tools that make it easier to access blockchain data and improve the performance of applications built on Solana.These tools are important for the growth of any blockchain network. As more developers join Solana, infrastructure companies like Helius help simplify development and improve the overall ecosystem. Antier SolutionsAntier Solutions is a global blockchain consulting and development firm that has expanded its expertise into Solana technology. The company helps businesses build decentralized applications, token platforms, and NFT ecosystems.It creates scalable blockchain products that can accommodate large user bases. Many organizations working in fintech, gaming, and digital asset management choose Antier Solutions to design their blockchain infrastructure.The company also offers blockchain consulting to help businesses new to decentralized technology with architecture design and regulatory planning. Antier Solutions explains to organizations how blockchain can be integrated into their existing systems.Also Read - Who’s Rich in Solana? Top 10 SOL Holders RevealedThe Future of Solana DevelopmentThe future of Solana looks very promising as developer participation increases, institutional interest rises, and decentralized finance platforms expand. Blockchain technology is also integrating with traditional finance. Large institutions are exploring the technology for digital asset issuance and building other financial infrastructure. These developments show how decentralized networks are slowly becoming part of the broader financial system.At the same time, innovation is occurring in areas like decentralized finance, blockchain gaming, real-world asset tokenization, and decentralized physical infrastructure networks. These sectors might bring millions of new users into the Web3 space.As Solana expands, development companies will play a major role in building the next generation of blockchain applications. Organizations such as Rapid Innovation, LeewayHertz, Revinfotech, Helius, and Antier Solutions are helping shape the future of the Solana ecosystem and driving the growth of decentralized technology worldwide.FAQs1. What is Solana, and why is it popular?Solana is a high-performance blockchain known for its fast transaction speed and very low fees, making it ideal for decentralized applications, DeFi platforms, and Web3 services.2. What services do Solana development companies provide?These companies build smart contracts, decentralized applications, NFT marketplaces, DeFi platforms, and custom blockchain solutions on the Solana network.3. Why are businesses choosing Solana for blockchain projects?Businesses choose Solana because it offers high scalability, low transaction costs, and the ability to handle thousands of transactions per second.4. What industries use Solana development services?Industries such as finance, gaming, digital assets, fintech, and Web3 platforms commonly use Solana development services.5. How is the Solana ecosystem growing?The ecosystem is expanding through increased developer activity, growing decentralized finance markets, and rising interest from enterprises and institutional investors.

Overview:Recent reports suggest a significant rise in WhatsApp hacking incidents. This includes everything from large-scale data scraping to sophisticated, targeted account hijacking. WhatsApp's end-to-end encryption helps keep message content secure. But experts suggest that hackers mostly use techniques like social engineering, ghost pairing, and spyware.Enable two-step verification in WhatsApp and memorize the PIN. This is one of the best techniques to keep WhatsApp safe.WhatsApp has a security problem, and it's getting worse. Reports indicate a sharp rise in hacking incidents targeting the platform's 2 billion+ users, ranging from mass data scraping operations to sophisticated, targeted account hijacking and AI-powered identity theft.While WhatsApp's end-to-end encryption effectively secures message content in transit, it was never designed to protect against the methods hackers actually use. Social engineering, ghost pairing, and spyware don't break encryption; they bypass it entirely, exploiting human behavior and device vulnerabilities to seize control of accounts and harvest personal data. The lock on the door means nothing if someone tricks you into handing over the key.Is Your WhatsApp Safe? Safety Tips for YouThere are several ways to safeguard WhatsApp. Given below are some of the best tips to keep the social media account safe:Enable two-step verification in WhatsApp and memorize the PIN. Please note that a PIN is not a one-time password (OTP). In order to activate this, users need to go to settings, account, and then two-step verification.Do not share the PIN or one-time registration codes with anyone. No one asks for these details other than fraudsters or scammers.WhatsApp has also introduced support for passkeys. This feature can be enabled by going to settings, account, and users can get their passkeys. Users should log in to their accounts with biometric authentication instead of PIN codes. This enables the smartphone to store a long cryptographic key. This is a very safe option. However, it is not very convenient if the device is changed frequently or switches between Android and iOS.Create a backup email address for account recovery. For this, users need to go to settings, account, and then add the email address.Try not to fall victim to SIM swapping scams. Contact the mobile carrier if one becomes the victim of such a scam. It is advisable to meet the company representative in person. Verify that no duplicate SIM cards have been issued for the same number.Also read: How Hackers Are Targeting WhatsApp and Signal in 2026WhatsApp Safety TipsApart from the above-mentioned safety tips, there are other ways to keep WhatsApp safe. Keep WhatsApp locked. It is better to use a fingerprint lock.Avoid clicking on random links from unknown sources.Spread awareness about WhatsApp hacking among family and friends.Keep WhatsApp updated. Keep a constant check for any viruses or malware.WhatsApp is one of the most used social media apps in the modern tech-driven world. It is one of the most widely used social media platforms, used every day. From sharing texts to attending professional work, the platform is used by many for different purposes. Thus, it is important to keep the account safe. Losing any form of data could pose a threat to data safety. Also read: 6 Signs Your Data is at Risk With AI-Powered HacksFAQsWhat is WhatsApp?Ans: WhatsApp is a free, widely used mobile messaging app (owned by Meta) that uses an internet connection to send encrypted text messages, documents, images, and videos, and to make voice/video calls globally.What is WhatsApp mostly used for?Ans:  WhatsApp is a messaging application. It can also be associated with a social network/social media platform.What is the downside of WhatsApp?Ans: WhatsApp messages are usually encrypted, but the app still collects metadata. This includes your contact information, usage pattern, and profile information.Is WhatsApp 100% private?Ans: No, WhatsApp isn't 100% private because Meta (Facebook) collects some user metadata. The social media app does have end-to-end encryption, but it is still not 100 % private.Can people on WhatsApp see your phone number?Ans: WhatsApp uses your phone number as your unique identifier, and by default, only your contacts and groups can see it. But if you want more privacy, you can adjust settings to hide it from non-contacts or specific people by changing your ‘About’ information.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

YouTube generated an estimated $40.4 billion in advertising revenue in 2025, according to research from MoffettNathanson. The figure exceeded the combined $37.8 billion reported for Disney, NBCUniversal, Paramount, and Warner Bros. Discovery.The earnings also marked a reversal from the previous year’s position. In 2024, YouTube recorded $36.1 billion in ad revenue, while the four media groups together brought in $41.8 billion. Alphabet also said YouTube’s total revenue, including subscriptions, climbed above $60 billion in 2025.Advertising Growth Reflects Changes in Viewer BehaviorYouTube’s ad business continued to expand through 2025. Alphabet reported fourth-quarter ad revenue of $11.4 billion, adding to earlier quarterly results of about $8.9 billion, $9.8 billion, and $10.3 billion. Growth across each quarter showed a steady rise in advertiser demand during the year.The increase came as traditional media companies faced continued pressure from lower linear television audiences and high content costs. Media groups such as Disney, NBCUniversal, Paramount, and Warner Bros. Discovery remain large players in entertainment, yet their advertising businesses have faced weaker conditions as viewing habits continue to change.More consumers now spend time on streaming services, short-form video, and creator-led programming, which has altered the distribution of advertising spending.Moffett Nathanson also estimated YouTube’s total 2025 revenue at about $62.3 billion. In comparison, Disney’s media business generated $60.9 billion during the same period. The estimate did not include Disney’s parks and experiences segment. Even so, the comparison showed YouTube’s growing scale within the broader media industry.Subscription Revenue Adds to YouTube’s ExpansionAdvertising remains a central part of YouTube’s business, but subscriptions also contribute a growing share of revenue. Alphabet said paid services such as YouTube Premium, YouTube Music, YouTube TV, and NFL Sunday Ticket supported overall growth in 2025. Subscription income helped lift total annual revenue above the $60 billion mark.YouTube’s subscription business has taken on a larger role as competition in digital media grows. Traditional media groups also depend on recurring revenue from streaming services. YouTube, though, operates with a wider mix of income, including subscriptions, advertising, and its creator-led platform. The combination gives the company several sources of revenue across its media business.Furthermore, the company said it paid more than $100 billion to creators, artists, and media partners over the past four years. Those payments helped expand the range of content available on the platform across markets and audience groups. As viewership grew, advertisers continued to direct spending toward digital video, particularly where younger audiences remain active.Also Read: YouTube Adds New Parental Controls to Limit Teens’ Shorts Screen TimeAI Tools and Platform Safety Remain a FocusYouTube has continued to develop tools aimed at AI-generated content. On March 10, 2026, the company said it would expand its likeness-detection pilot to journalists, government officials, and political candidates. The system is designed to identify AI-generated impersonation and lets eligible users request removal when content breaks platform rules.Although YouTube’s advertising business remains smaller than Meta’s, which reported $196.2 billion in ad revenue for 2025. The latest estimates suggest the platform now commands a larger share of media-related advertising revenue than several major traditional entertainment groups combined.In addition, the new figures highlight how viewing habits have shifted. Digital video platforms attract more viewing time, while advertisers increasingly direct spending toward services with larger online audiences. Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Hardware wallets store private keys offline, protecting Bitcoin, Ethereum, and NFTs from hacks, malware, and phishing attacks.Ledger Nano X supports 5,500+ coins, Bluetooth access, and mobile apps, making it one of the most popular crypto wallets.Ledger Stax features a curved E-ink touchscreen, wireless charging, and premium design for professional crypto users.Trezor Safe 5 offers open-source firmware, a color touchscreen, and strong transparency for security-focused users.Ledger Nano S Plus is a budget hardware wallet with high security and strong protection for beginners entering crypto.Tangem Wallet uses NFC smart cards instead of seed phrases, offering simple and portable cold storage.NGRAVE ZERO has one of the highest security certifications and keeps private keys completely offline.Always store your 12–24 word recovery phrase offline and buy hardware wallets only from official sellers.Read More Stories Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The rapid adoption of generative AI across corporate environments has increased productivity. However, it has also created a visibility gap for security teams. Employees use dozens of AI tools every day, quite often without any approval. As a result, sensitive data gets exposed. Compliance teams are having a hard time keeping control. Figuring out what AI is coming into your organization is the first step in securing it.Key Solutions and Platforms for 2026Critical AI Usage Monitoring CapabilitiesSecurity leaders face the challenge of enabling innovation while preventing exposure. Traditional data loss prevention tools cannot interpret conversation context. This limits their effectiveness with large language models.Modern AI monitoring requires specialized capabilities. These address the unique risks of conversational interfaces and autonomous agents. These capabilities work together to create comprehensive visibility across the organization.Shadow AI DiscoveryMost security teams underestimate the number of AI tools operating within their networks. Employees install browser extensions for summarization. They use consumer chatbots for work tasks. They enable coding assistants without seeking approval. Shadow AI discovery tools continuously scan network traffic and endpoint activity. They identify every AI interaction occurring across the organization.These solutions catalog each tool and assess its risk profile. They determine whether each application appears in sanctioned vendor lists. Discovery creates the foundational inventory required for any meaningful security strategy. Without knowing which AI tools exist, teams cannot protect the data flowing through them.Recent enterprise surveys show that organizations discover an average of three times more AI tools in use than previously estimated by IT leadership.Data Leakage PreventionStandard DLP filters fail when sensitive data travels inside API calls to language models. Modern prevention approaches deploy small language models specifically trained to identify patterns in prompts and responses. These specialized models scan for personally identifiable information, source code, financial data, and trade secrets before submission occurs.When the system detects sensitive content, it can redact specific strings. It may block the request entirely. It might route the transaction through approved channels with enhanced controls. These actions happen in milliseconds without disrupting the user experience for nonsensitive tasks. The small language models operate entirely on-premises. This ensures the scanning process does not create additional exposure.Organizations implementing AI usage control tools at this layer report significant reductions in accidental data exposure incidents within the first thirty days of deployment.Behavioral BaseliningAI agents and copilots exhibit usage patterns just as humans do. They access specific resources at predictable times. They follow expected workflows. Behavioral baselining establishes what normal activity looks like. It does this for each automated identity operating within your environment.When an AI agent suddenly begins querying databases at three in the morning, the monitoring system flags this deviation. If it attempts to download thousands of records, security teams receive alerts. These notifications distinguish between routine maintenance activities and potentially compromised credentials. This approach catches attacks that signature-based detection methods miss entirely.The baselining process is constantly updating itself as workflows change. It lowers the number of false positives generated without losing the ability to detect real threats. Machine learning models take the current set of behaviors and analyze them in light of historical data. They pinpoint those behaviors that are unusual and therefore suspicious.Context-Aware PoliciesBinary blocks create friction and encourage employees to find unapproved workarounds. Context-aware policy engines evaluate each AI interaction based on who is making the request. They consider what data is being accessed. They assess why the interaction needs to occur. This dynamic approach maintains security without sacrificing productivity.A marketing manager can upload campaign briefs to ChatGPT. The same request from a finance associate copying customer spreadsheets triggers an alert. The policy understands job functions and applies controls accordingly. Rules consider factors such as time of access, location, and device posture. They also account for the sensitivity of the data involved.These engines integrate with existing identity providers and data classification systems. They make informed decisions at runtime. Security teams define guardrails rather than walls. This allows innovation to proceed within clearly understood boundaries.Implementation FrameworkSuccessful AI governance requires a structured methodology. It cannot rely on piecemeal tool adoption. The AI TRiSM framework provides security teams with a proven approach. It aligns technical controls with business objectives. Organizations following this structure achieve faster deployment. They also gain more complete coverage across their AI ecosystems.DiscoveryThe implementation journey begins with a comprehensive discovery across all network segments and endpoints. Automated scanners identify AI services accessed through browsers. They detect APIs consumed by internal applications. They find embedded AI features within existing software stacks. This phase creates a complete asset inventory. It forms the foundation for all subsequent controls.Discovery tools catalog the AI services and the data types flowing to each destination. Teams gain visibility into which departments use which tools. They understand what information employees share. This intelligence drives risk assessment and prioritization efforts.MonitoringWith inventory established, monitoring capabilities begin analyzing interactions in real time. Security platforms capture prompts, responses, and metadata associated with each AI transaction. This visibility extends to agentic workflows where AI systems act autonomously on behalf of users.Monitoring focuses on both content and behavior. What data leaves the organization? What actions do AI agents perform? How frequently do users interact with high-risk tools? The answers to these questions shape policy decisions and incident response procedures.ControlThe final layer implements runtime protections that enforce organizational policies. Security teams deploy several types of guardrails:Reverse proxies that inspect and filter AI traffic.Browser extensions that prevent data submission to unauthorized services.API gateways that authenticate and authorize all model requests.Endpoint agents that block high-risk AI browser extensions.Data redaction services that strip sensitive information before transmission.These AI usage control solutions operate continuously. They adapt policies as new threats emerge and business requirements evolve. The control layer closes the loop between discovery insights and monitoring intelligence. It creates a complete governance system.ConclusionEnterprise security teams cannot just rely on offering a simple block or allow approach anymore. They need more sophisticated AI governance strategies. Thorough monitoring solutions allow companies to increase productivity. At the same time, they help keep data secure and ensure regulatory compliance.The frameworks and capabilities discussed in this article outline a path for the responsible introduction of AI. This method is a safeguard not only for the business but also for its staff.

US stocks moved lower on Wednesday as investors tracked rising oil prices and the market impact of the war involving Iran. Traders looked past softer February inflation data because the report came before the latest energy shock. Attention stayed on crude prices, supply risks, and the possible effect on Federal Reserve policy.The International Energy Agency said member countries would release 400 million barrels from emergency oil reserves. The move marked the largest coordinated release on record. Even so, oil prices remained high, showing that supply concerns in the Middle East continued to weigh on markets.The S&P 500 fell 0.4% in midday trading in New York. The Nasdaq 100 lost 0.3%, while the Dow Jones Industrial Average dropped 1%. In bond markets, the yield on the 10-year US Treasury rose six basis points to 4.21%. West Texas Intermediate crude climbed 4.7% to $87.40 a barrel.Oil Prices Rise Despite the Emergency Reserve ReleaseOil remained central to market moves as the conflict kept global supply concerns in focus. Markets watched the Strait of Hormuz closely because it remains a critical route for crude exports. Continued military activity and shipping risks kept pressure on energy markets.The reserve release aimed to ease the immediate strain on supply. However, crude prices kept rising after the announcement. Brent crude traded above $90 a barrel, while US crude also held gains. The market response showed that traders still expect disruptions to keep energy prices under pressure.Higher oil prices also raised concerns about inflation and interest rates. Rising energy costs can affect transport, production, and household expenses. As a result, investors scaled back expectations for deeper rate cuts this year.February Inflation Data Fails to Lift SentimentUS inflation data for February showed slower underlying price growth before the conflict intensified. Core consumer prices, which exclude food and energy, rose 0.2% from January. Annual core inflation held at 2.5%, while headline inflation stood at 2.4%.The figures suggested that price pressures had moderated before oil surged. Still, the report had a limited market impact because it did not include the latest jump in fuel costs. Investors now expect energy prices to play a larger role in shaping inflation in the coming months.This shift also changed expectations for the Federal Reserve. Traders increasingly expect policymakers to remain cautious if oil stays high. Treasury yields moved up as markets adjusted to the risk of firmer inflation ahead.Corporate HighlightsOracle stock rose after strong sales supported continued demand for AI computing.NVIDIA stock gained as the company committed $2 billion to Nebius data centers.Cintas stock advanced after it agreed to buy UniFirst in a $5.5 billion deal.Campbell’s stock fell after the company cut its profit outlook on weaker demand.Bunge's stock drew attention as the Middle East conflict lifted crop prices for farmers.Energy stocks gained as crude prices traded near multi-month highs.AI infrastructure stocks moved higher after Oracle’s results.Financial stocks weakened as concerns around private credit persisted.Treasury yields rose as traders reduced expectations for multiple rate cuts.Oil remained elevated despite the 400 million-barrel emergency reserve release.Markets remained cautious as rising oil prices and Middle East tensions overshadowed softer inflation data and clouded the Federal Reserve’s rate outlook.Also Read: US Stock Market Today: Wall Street Gains as Oil Drops on G-7 Stockpile Talks Amid Iran War FearsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

A sudden liquidation cascade hit the decentralized lending protocol Aave and erased nearly $27 million in positions within 24 hours. The event followed a temporary pricing mismatch involving wstETH, the liquid staking token issued by Lido. The issue caused the system to undervalue collateral and triggered automated liquidations across several accounts.The problem arose from Aave’s internal risk oracle, CAPO. The mechanism briefly reported an incorrect exchange rate between wstETH and ETH. As a result, several positions appeared under-collateralized even though the collateral remained healthy on-chain.Automated liquidation systems quickly activated once positions dropped below safety thresholds. Within hours, the protocol liquidated more than 10,900 wstETH and closed dozens of leveraged accounts. The event raised concerns about how technical errors in Oracle systems can affect decentralized finance markets.Oracle Pricing Error Triggered LiquidationsThe incident began when the CAPO oracle reported a lower value for wstETH compared with its real market price. Lending protocols rely on oracle feeds to determine the value of collateral deposited by borrowers.Several positions suddenly appeared risky as the system recorded a lower price. Once collateral ratios crossed liquidation thresholds, the protocol’s liquidation engine began closing those positions automatically.Investigations later revealed that a mismatch between an exchange-rate snapshot and its timestamp caused the pricing error. The incorrect data undervalued wstETH by nearly 2.85%. This difference forced the protocol to treat healthy positions as under-collateralized. Consequently, the system liquidated accounts even though market prices did not justify the actions.The event affected around 34 users on the platform. Automated processes sold about 10,938 wstETH during the liquidation cascade.Market Activity Softens After the EventTrading activity declined slightly after the liquidation episode. Daily trading volume reached around $29 million and marked an 11% drop compared with the previous day. Data from CoinGlass also showed weaker derivatives activity. Futures trading volume fell by 14% and reached about $300 million. At the same time, open interest dropped nearly 4.97% to around $190 million.When trading volume and open interest decline together, traders often step back from the market. In this case, the shift followed the liquidation event that occurred on March 10. Despite the scale of the liquidations, the incident did not involve a security breach. The protocol did not experience a hack or a broader market crash.Instead, the chain of events resulted from a configuration issue inside Aave’s CAPO oracle system.Reimbursements and Governance Review BeginLiquidation bots participated heavily during the cascade. They closed positions and collected about 499 ETH in liquidation bonuses and fees. After engineers identified the configuration error, Chaos Labs worked with the Aave protocol team to correct the issue. The protocol itself remained solvent and did not accumulate bad debt.Aave confirmed that affected users will receive compensation. The protocol plans to use recovered funds and DAO resources to reimburse the impacted accounts. Initial refunds have already started. BuildersNet distributed an early reimbursement of 141 ETH to affected users.Aave DAO service providers have now finalized full compensation for all 34 impacted accounts. Meanwhile, governance discussions continue around improvements to CAPO parameters across all Aave markets. Also Read: Crypto Market Update: XRP Outperforms Gold and Silver After Israel-Iran Conflict ShockTeams also review monitoring systems to detect rate divergences earlier. The review focuses on updating stale snapshots and improving risk-management alerts before collateral values approach liquidation thresholds.A Lido contributor clarified that the issue did not originate from the wstETH token itself. The contributor said the liquidations resulted from incorrect pricing reported by the oracle system. The Lido protocol and the wstETH token continued to operate normally during the incident. Aave also confirmed that the event caused no damage to the core protocol.Governance discussions now center on future safeguards. If automated synchronization requirements become mandatory, could stricter oracle standards reduce the chance of similar liquidation cascades in decentralized lending markets?ConclusionA temporary CAPO oracle pricing error caused Aave to undervalue wstETH collateral and triggered about $27 million in liquidations affecting 34 accounts. Chaos Labs and the Aave team corrected the issue quickly while the protocol remained solvent. Governance reviews now focus on stronger oracle monitoring and completing compensation for impacted users.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Best Buy is expanding into AI hardware by introducing smart glasses and AI-powered laptops, allowing customers to explore new technology through hands-on demonstrations in stores.The retailer now sells 125+ AI-enabled computers and has created dedicated spaces in many stores to showcase smart glasses, VR headsets, and other advanced AI devices.By focusing on AI-driven gadgets and trained staff, Best Buy aims to transform its stores into technology experience centers where customers can understand and test the future of consumer electronics.Artificial intelligence is shaping the next generation of consumer electronics. Technology retailers now focus on devices that combine smart software and advanced hardware to create new experiences for everyday users. In this changing tech sector, Best Buy is positioning its stores as the prime destination for customers to explore and purchase AI-powered gadgets such as smart glasses and intelligent laptops.The company believes that the future of consumer electronics depends heavily on devices that understand voice commands, process visual information, and help them perform tasks faster. With this idea in mind, Best Buy is expanding its product range and store experience so shoppers can see how artificial intelligence works in real life through demonstrations and hands-on interaction with new devices.Best Buy reported annual revenue close to $42 billion during its latest fiscal year. This shows that the company is one of the largest electronics retailers globally, but demand for traditional electronics has grown more slowly. The company has shifted its focus to emerging tech categories that can attract new customers and create a stronger reaction to innovation.Best Buy AI Hardware ExpansionBest Buy's AI hardware expansion is an important step in the company’s strategy to stay relevant in a changing technology market. The retailer has started increasing the number of AI-powered devices available in stores, with particular attention to smart glasses that integrate cameras, microphones, speakers, and AI assistants.AI smart glasses are among the most interesting products in the current electronics market, as they allow users to interact with their surroundings while receiving digital information simultaneously. These glasses can identify objects, translate written signs, take photos via voice commands, and provide helpful answers to questions about places or items in front of the user.Best Buy is demonstrating these glasses in select stores so that customers can see their features in action. The glasses allow shoppers to experience voice recognition and an instant information delivery system via built-in speakers. This type of hands-on experience lets people understand the value of the technology.The company has built a strong partnership with Meta, which has collaborated with Ray-Ban to develop AI-powered glasses that combine stylish design with intelligent features. These glasses allow users to take photos without using their hands, listen to music through small speakers inside the frame, and make voice-controlled calls.Best Buy has established dedicated product areas for Meta in more than 70 stores, enabling customers to test smart glasses, virtual reality headsets, and other cutting-edge technologies. The company also expects more technology brands to launch similar products as interest in AI wearables grows across the global market.Best Buy AI Hardware Strategy and Product ExpansionBest Buy’s expansion strategy does not focus only on wearable technology, since the company also sees strong potential in AI-powered computers that bring artificial intelligence features directly into everyday computing.Modern AI laptops now include specialized components called neural processing units, which are designed to handle artificial intelligence tasks quickly and efficiently while the computer continues running normal programs. These processors allow laptops to perform actions such as automatic camera framing during video meetings, real-time language captions, and intelligent suggestions while writing documents.Also Read: Best AI Laptops for Professionals & Creators: Top Picks for 2026A major category in this area is known as Copilot+ PCs, which were introduced by Microsoft and several hardware partners as a new generation of computers built specifically for AI features. These devices allow users to search files more intelligently, create images with AI tools, and manage tasks more efficiently through integrated software assistants.Best Buy currently sells more than 125 laptop and desktop models with enhanced AI capabilities, and nearly 70% of these models are exclusive to Best Buy stores. This large selection allows customers to compare different brands and performance levels while exploring how AI features improve daily computing activities.The company has also trained around 30,000 employees to explain AI hardware features to customers in simple terms. Employees are now knowledgeable about how neural processors work, how AI performance is measured, and how different devices can match different customer needs, such as gaming, creative work, or business productivity.Why is Best Buy Expanding into AI HardwareSeveral major technology trends explain why Best Buy has started to invest heavily in AI hardware. Consumer electronics innovation has slowed in recent years, and many people now keep their smartphones and computers for longer periods before upgrading. Artificial intelligence introduces a new reason for customers to explore different types of devices that offer capabilities older machines cannot provide.AI smart glasses represent a completely new way for people to interact with technology, since these devices bring digital assistance directly into everyday vision rather than relying on a phone screen. Users can receive navigation guidance, translate between languages, or capture photos while walking or traveling.Customers need physical stores because they help them learn about modern technology during their shopping experience. Customers feel confident buying familiar products online, yet they need to see and understand advanced devices before making a decision. Customers at Best Buy stores gain a major benefit because they can test products and receive assistance before making their purchase decision.Also Read: India AI Impact Summit 2026: PM Modi Tests Sarvam AI Smartglasses, First Hardware to Launch in May 2026Artificial intelligence also continues to influence many other technology categories, including smart homes, health tracking devices, and gaming systems. Best Buy already sells products such as health rings, portable gaming devices, collectibles, and 3D printers, and these categories continue to grow as innovations appear in the market.Research from technology analysts also shows that many consumers remain curious about AI even though regular use remains limited for now. Early adopters often include younger professionals in technology-focused industries, who are among the first to explore new hardware with advanced AI features.A New Direction for Technology RetailBest Buy’s expansion into AI hardware shows how technology retail is changing. Electronics stores are no longer only places to buy devices. They are becoming spaces where people can explore new technologies and understand how they fit into everyday life.Smart glasses that answer questions and laptops that assist with tasks show how artificial intelligence is slowly becoming part of daily routines. These products offer a new way to interact with technology and create a more helpful digital experience.Best Buy now wants to lead this transformation by giving customers access to the latest AI-powered devices. With dedicated display areas, exclusive laptop models, and trained staff, the company continues to build a strong position in the future of consumer technology.You May Also Like:Apple Plans to Develop a Wearable AI Pin to Challenge OpenAI in Consumer Hardware SpaceGoogle’s Android XR Smart Glasses With Gemini AI to Launch in 2026Alibaba Launches Qwen AI-Powered Smart Glasses to Challenge Meta’s Ray-Ban ModelCES 2026: Intel Core Ultra Series 3 Debuts Amid AI-Driven Laptop Price SurgeFAQs  1. Which AI laptop is best?Ans. Some of the best AI laptops come with special AI chips called NPUs. Laptops with Intel Core Ultra, Apple M-series, or Qualcomm Snapdragon processors are considered strong AI laptops. They can run AI tools faster, process data locally, and provide better battery life.2. Which smart glasses have AI?Ans. Some popular AI smart glasses include Meta Ray-Ban and Oakley Meta. These glasses have built-in cameras, microphones, speakers, and AI assistants. They allow users to take photos, ask questions, translate languages, and get real-time information without using a phone.3. How much are Mark Zuckerberg's smart glasses?Ans. The smart glasses created by Mark Zuckerberg’s company Meta are called Ray-Ban Meta. Their price usually starts around $299, depending on the model and features. The price may increase for special designs, better cameras, or display technology.4. What is the use of AI smart glasses?Ans. AI smart glasses work like hands-free assistants. Users can take photos or videos, listen to music, make calls, and ask AI questions. They can also translate languages, identify objects, provide navigation, and show real-time information about surroundings without using a phone.5. What is the difference between an AI laptop and a normal laptop?Ans. An AI laptop has a special chip called a Neural Processing Unit (NPU) that runs AI tasks faster and more efficiently. It also gives better battery life and privacy. A typical laptop relies solely on the CPU and GPU, which slows down AI tasks.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp