Ethereum: Most audited ecosystem with robust validator network and mature security tooling globally.Polygon: Layer-two scaling backed by frequent audits and advanced zero-knowledge security architecture implementations.Chainlink: Oracle network secured through audits, staking, and cryptoeconomic incentive mechanisms ensuring reliability.Aave: Continuous smart-contract audits with real-time risk monitoring protecting liquidity providers effectively always.Uniswap: Formally verified core contracts ensuring trustless decentralised trading without custody risk exposure.MakerDAO: Battle-tested collateralised lending protocol with transparent governance and extensive audit history available.Arbitrum: Fraud-proof rollup architecture maintaining Ethereum security while scaling transaction throughput significantly higher.Optimism: Open-source codebase with public audits and strong community-driven security upgrades regularly.zkSync: Zero-knowledge proofs enabling mathematically verified transactions with enhanced user fund protection guarantees.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Deepinder Goyal has started a new journey. After leaving food delivery giant Zomato, he has raised $54 million for his new startup, Temple. The round values the company at about $190 million after funding. This move shows a massive shift. Deepinder Goyal now focuses on wearable tech and brain monitoring instead of food delivery. He calls this phase a time of bold experiments and high-risk ideas.Strong Support From InvestorsThe Temple funding round mainly included friends and early supporters. Many early Zomato backers joined again. More than 30 Temple employees also invested their own money at the same valuation. This shows strong belief inside the company.Top investors like Steadview Capital, Peak XV Partners, and Info Edge Ventures also backed the startup. Angel investors, including Vijay Shekhar Sharma, Kunal Shah, Nithin Kamath, and Nikhil Kamath, offered strong support for Temple funding.A New Kind of Wearable TechTemple is building a special elite athlete wearable. This device is not placed on the wrist like common smartwatches. It is attached near the temple of the head. The device tracks cerebral blood flow and other brain signals. The goal is to understand what happens in the brain during peak performance.This brain monitoring approach goes beyond normal fitness tracking. Most wearables track heart rate or sleep. Temple wants to study brain activity in real time. The company targets elite athletes who want deeper performance insights.What’s Next for TempleTemple has not launched its product yet. Still, investors show strong trust in Deepinder Goyal’s vision. His track record with Zomato adds credibility.After stepping down as CEO of Zomato in January, Deepinder Goyal shifted focus to new ideas. He also invested $25 million in lifespan research through Continue Research. He co-founded LAT Aerospace and invested in health startups like Ultrahuman. Temple stands out as his most ambitious bet in wearable tech and brain monitoring.The startup now plans to use the funds for research, product testing, and team expansion. Temple is hiring experts in neuroscience, embedded systems, and brain-computer interface technology.Temple funding shows rising interest in advanced wearable tech in India. The move signals a new phase for Deepinder Goyal. It also opens a fresh chapter in brain monitoring innovation for elite athletes.Also Read: Zomato-Parent Eternal's Shares Drop 4.88% After CEO Goyal Returns Rs. 900–1,000 Cr ESOPsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Amazon Web Services reported a service disruption in the United Arab Emirates after unidentified objects struck a data center and caused a fire, affecting one availability zone in the company’s Middle East (UAE) region. AWS said the incident occurred around 4:30 p.m. Dubai time on Sunday, March 1, and emergency crews shut off power while they contained the fire.The company identified the affected zone as mec1-az2 and said it began rerouting customer traffic while engineers worked to restore connectivity. AWS also said other availability zones in the UAE region continued to operate, though some customers reported errors and delays in related services.AWS Outage Hits One UAE Availability ZoneAWS described the disruption in a public service update and said “objects” struck the facility, creating sparks and fire. The company said the fire department shut off power to the data center and generators as a safety measure while crews worked on the site. AWS did not identify the objects.The incident affected services tied to the ME-CENTRAL-1 region, which serves customers across the Gulf. AWS said it expected recovery to take several hours and advised customers, where possible, to use alternate availability zones or other AWS regions during the outage. Later updates also referenced additional connectivity issues and error rates in the region.Connectivity Issues and Customer Impact in the Gulf RegionAWS said it was investigating service problems that included connectivity and power issues in Bahrain as well, even as the UAE incident remained the most serious disruption publicly described. The company stated that it was actively working to reduce customer impact and restore systems safely.Public updates cited customer-facing errors in some cloud functions, including networking-related API calls in the affected region. AWS said it rerouted traffic away from the impacted zone, a standard resilience step designed to keep workloads running when one zone goes offline. However, customers with tightly coupled systems in the affected zone could still experience interruptions until power and connectivity returned.Also Read:  AWS Expands Presence in India with Major ₹60,000 Crore Investment in TelanganaRegional Security Backdrop Raises Questions, but Link Remains UnconfirmedThe outage came on the same day the UAE faced missile and drone threats during a wider regional escalation involving Iran, the United States, and Israel. UAE authorities reported interceptions over the weekend, and multiple reports said strikes and debris affected infrastructure in parts of the Gulf.AWS has not confirmed whether the data center incident was directly connected to those attacks. When asked about a possible link, the company did not confirm or deny that connection. For now, the confirmed facts remain limited to AWS’s description. This includes unidentified objects struck one availability zone, a fire followed, emergency crews cut power, and the company shifted traffic while recovery work continued.AWS says its cloud infrastructure spans 123 availability zones across 39 regions globally, which means most of its worldwide operations remained outside the affected UAE zone. The company has said customers in the UAE include major local businesses, underscoring the importance of regional redundancy as Gulf states expand digital and AI infrastructure.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Vivo just gave a first peek of the Vivo X300 Ultra at the 2026 Mobile World Congress. The business verified the existence of the ZEISS Telephoto Extender Gen 2 Ultra, though most of the smartphone's specs remain unknown. Along with the Vivo X300 and Vivo X300 Pro, it will be the next member of the Vivo X300 series.The forthcoming X300 Ultra seems to be camera-focused, just like its predecessors. Here is everything we currently know about the next smartphone, even though it may have a high-end appearance and AI capabilities.According to speculations and leaks, the Vivo X300 Ultra would go on sale for between Rs. 1,60,000 and Rs. 1,70,000.Global Launch Likely Later This YearAlthough the business teased the device at MWC '26, there is no clear indication of when it will be available. One thing is certain, though: the device will be made available everywhere, unlike the earlier generations that were only available in China. According to industry analysts, the gadget might be released later this year.Recently, the business announced that the phone will come with a 400mm Zeiss teleconverter. Additionally, a triple rear camera setup, a 200MP primary sensor, a 200MP periscope telephoto lens, and a 50MP ultrawide camera are expected to come with the smartphone. The phone is also said to have a 50MP front camera for video calls and selfies.Also Read: Vivo X300 Series Debuts in India: 200MP Telephoto Camera, Dimensity 9500 Chip and MoreWill Vivo X300 Ultra Use Snapdragon 8 Elite Gen 5?According to reports, Qualcomm's Snapdragon 8 Elite Gen 5 chipset powers the Vivo X300 Ultra. Additionally, it is expected to have up to 16GB of RAM and 1TB of internal storage. The smartphone is likely to have a 6.82-inch LTPO AMOLED panel with a 120Hz refresh rate.In terms of the battery, the smartphone might have a 7,000mAh capacity and enable 40W wireless and 100W wired charging. The phone is expected to run OriginOS 6, a skin based on Android 16. It is anticipated that the Vivo X300 Ultra will be available in white, black, silver, and red. For dust and water resistance, the Vivo X300 Ultra may also receive IP68 and IP69 ratings.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Lockton, the world’s largest independent insurance brokerage, today announced the launch of ‘LocktonThrive’, its proprietary employee wellbeing solution powered by Lockton Services India Private Limited designed to help organisations deliver a unified, personalised, and digital-first wellbeing experience to their workforce.Developed in partnership with AdvantageClub.ai, an AI-powered employee engagement, rewards and recognition platform enables employers to consolidate all corporate wellbeing services into a single, customisable interface.Designed as a plug-and-play solution, the digital plaform simplifies wellbeing programme management for employers while improving employee participation. The platform brings together physical, mental, social, and financial wellbeing initiatives, supported by AdvantageClub’s technology-led engagement ecosystem, including rewards and recognition, flexible wellbeing solution, wellbeing challenges, and incentives.Commenting on the partnership, Mr. Cedric Luah, Head of People Solutions, Lockton Asia, said, “Employee wellbeing has evolved into a true strategic priority for organisations, far beyond a traditional benefits conversation. As workforces face rising stress, shifting expectations, and increasingly diverse needs, wellbeing now plays a critical role in strengthening engagement, productivity, and long-term workforce strength. Our partnership with AdvantageClub.ai brings together advisory expertise and seamless digital integration to help employers build a more connected, data-driven wellbeing strategy – delivering measurable outcomes and supporting long-term workforce resilience.”Sourabh Deorah, CEO and Co-Founder, AdvantageClub.ai, added, "I’ve always believed that employee wellness shouldn't feel like a complicated puzzle. Our vision at AdvantageClub.ai is to make workplaces healthier by integrating all the pieces and empowering users with choices. Partnering with Lockton allows us to do exactly that at scale! By powering LocktonThrive, we’re giving employees a single, easy-to-use platform to manage their health across physical, mental, financial, and family care. This will not only make it easy for employees but will also increase adoption by removing inefficiencies. We are essentially taking the 'work' out of wellness for HR teams, and I’m excited to see how this partnership helps the working population across India to be their best selves every day!"This partnership underscores Lockton India’s focus on advancing how organisations approach employee wellbeing. By combining strategic consulting with digital enablement, the collaboration supports employers in responding to shifting workforce expectations and embedding wellbeing more meaningfully into their people strategies.About LocktonWhat makes Lockton stand apart is also what makes us better: independence. Lockton’s private ownership empowers its 13,100+ Associates doing business in 160+ countries to focus solely on clients’ risk and insurance needs. With expertise that reaches around the globe, Lockton delivers the deep understanding needed to accomplish remarkable results.Founded in 1966 and headquartered in Kansas City, Missouri, Lockton has a strong presence in Asia, operating in over 24 offices across 12 countries, including key markets such as China, Hong Kong, India, Macau, Malaysia, Singapore, South Korea, the Philippines, Taiwan and Thailand. Lockton consistently ranks among the top global insurance brokers and is celebrated for its best-in-class client service and industry leadership. For more information, visit www.lockton.comAbout AdvantageClub.aiAdvantageClub.ai is a global AI-powered employee engagement, rewards, and wellness platform with offerings like rewards & recognition, wellness solutions including OPD plans, Annual health checkup, wellness challenges, sales incentive automation, flexible wellbeing solution, surveys, moments that matter, and communities on a single platform. It provides end-to-end solutions to facilitate employee engagement by digitizing the company’s R&R policies, allowing them to drive better employee retention and happiness. AdvantageClub.ai has over 15 million users, with presence in over 100+ countries, 1200+ clients, and 10,000+ brand options. Established in 2016, AdvantageClub.ai is the brainchild of UCLA postgraduates, Sourabh Deorah and Smiti Bhatt Deorah, who identified employee engagement as a space to create disruption using AI, data mining, and analytics. Headquartered in San Francisco, AdvantageClub.ai has an impressive client portfolio featuring Air India, Biocon, Concentrix, HCL, Hexaware, L&T, Tech Mahindra, Tata Steel, Teleperformance, and many more.

Overview:Bitcoin spot ETFs recorded $787 million in weekly inflows, with IBIT leading at $503 million.ADA saw $80 million in inflows, while SUI compression builds toward a $2.55 breakout level.46% of BTC supply is in loss as $652 million XRP flows to Binance, signaling potential volatility.The crypto market saw major developments through geopolitical volatility, shifting liquidity flows, and diverging altcoin narratives. While Bitcoin wrestles with overhead resistance and rising supply in loss, ecosystems like Cardano, XRP, and SUI are showing structural developments. Cardano Attracts $80M Inflows Despite Price RangeCardano (ADA) is currently trading between its support level of $0.26 and resistance level of $0.32, while it trades at $0.2705 after a daily decline of 2.84%. Technically, ADA is moving inside a rising corrective channel on the 4-hour chart. The $0.276-$0.279 area functions as a key pivot as it serves as the level where short-term moving averages converge. A sustained hold above this range keeps bullish structure intact. The upward targets include $0.295, $0.305, $0.31, and $0.32, while a break below the $0.26 support level will lead to a decline toward the $0.25-$0.245.Fundamentally, over $80 million in ecosystem inflows with $130 million in cross-chain transaction volume through Wanchain demonstrates growing adoption of interoperability that will help increase network activity over time.$652M XRP Flows to Binance Raise Volatility QuestionsOver 472 million XRP, valued at approximately $652 million, moved onto Binance over the past week, the largest monthly inflow so far. The timing coincides with escalating geopolitical tensions between the US, Israel, and Iran, which pushed Bitcoin briefly toward $63,000 before rebounding. Crypto markets reacted immediately as traditional markets were closed, amplifying volatility.While exchange inflows do not guarantee a sell-off, historically, such spikes often precede heightened price swings.Also Read: XRP Ecosystem Funding Goes Decentralized Under RippleSUI Compression Tightens as $2.55 Breakout Level LoomsSUI continues consolidating below $1.30, with daily MACD showing a bullish crossover. Historically, SUI compressions have led to explosive expansions, with prior rallies of 107%, 63%, and 44% following similar structures.On the weekly chart, a bullish pennant formation points toward a decisive breakout level near $2.55. A clean move above that threshold could reopen a path toward the previous all-time high of $5.36.Participation metrics support the structural case. SUI has surpassed $770 billion in cumulative trading volume, with recent weekly volumes near $5.9 billion and daily DEX activity around $98 million.Total Value Locked (TVL) stands at $569 million, indicating sustained liquidity during consolidation.Bitcoin Supply in Loss Nears 46% as SOPR Stays Below 1Approximately 9.09 million BTC, representing 45-46% of the circulating supply, are currently lost. This condition typically increases overhead resistance, as holders sell into strength to exit at break-even.The Spent Output Profit Ratio (SOPR) remains below 1, meaning coins are being spent at a loss, often a sign of continued consolidation rather than breakout momentum. Bitcoin trades around $66,235, with RSI near 39.79 and both the 50-day and 200-day moving averages positioned significantly above spot, signaling unresolved overhead supply.Also Read: Bitcoin Price Holds Above $65,000: Can BTC Break the $70,000 Barrier Next?Bitcoin Spot ETFs See $787M Weekly Inflows According to SoSoValue, Bitcoin spot ETFs recorded a net inflow of $787 million last week. The Bitcoin spot ETF with the highest net inflow this week was BlackRock’s IBIT, with a weekly net inflow of $503 million. Next was Grayscale’s Bitcoin Trust (GBTC), with a weekly net inflow of $894.26 million; GBTC’s cumulative historical net outflow has reached $25.87 billion. The total net asset value of Bitcoin spot ETFs stood at $83.4 billion, with an ETF net asset ratio of 6.36%.Hyperliquid (HYPE) Gains as Fee Revenue Drives Aggressive Token BurnsHYPE has outperformed the broader crypto market, rising around 5% in the past 24 hours even as Bitcoin traded sideways. The protocol generated approximately $2.8 million in fees in the last 24 hours and more than $13 million over the past week. A portion of these fees is allocated toward token buy-backs and burns, directly reducing circulating supply and reinforcing a supply-tightening narrative.Over the last seven days, Hyperliquid burned nearly $9.22 million worth of HYPE, marking a 20.4% increase compared to the previous week. FAQs:1. Why is ADA attracting inflows despite weak price action?Over $80 million in ecosystem inflows and $130 million in cross-chain volume indicate long-term adoption even as price remains range-bound.2. What does the $652M XRP inflow to Binance suggest?Large exchange inflows often signal preparation for selling or hedging, increasing the probability of volatility.3. Why is 46% of the Bitcoin supply in loss significant?When nearly half of the supply is underwater, holders may sell into rallies, creating strong resistance zones.4. How important are the $787M ETF inflows for Bitcoin?Consistent ETF inflows provide institutional support and help absorb market supply during volatile phases.5. What is driving HYPE’s recent rally?Strong fee generation and $9.22 million in weekly token burns have reinforced a supply-compression narrative supporting price strength.

Overview:Today’s NYT Connections puzzle blends Olympic apparatus, social status terms, baseball umpire calls and clever “___ Chicken” phrases.From BEAM to STRIKE, the March 2 grid tests logic with sports equipment, ranking words, and playful food-based word pairings.NYT Connections Today challenges players with gymnastics themes, status vocabulary, and tricky baseball calls.NYT Connections March 2, puzzle is live with 16 apparently non-connected words. Initially, words like Horse, Rank, Rubber, and Strike don’t make any sense or reveal a proper connection. However, a profound observation reveals that these words are associated with certain themes. The twist here is that some of these words may fit more than one theme.  Interestingly, The New York Times has multiple word puzzles that have become a routine for millions across the world. Whether it's NYT Strands, NYT Connections, or Wordle, each of these web-based word puzzles has its specific word-guessing method. In NYT Connections, the theme isn’t stated initially, but once players guess the right sets, the game reveals the themes:Hints for Today's NYT Connections - March 2, 2026This puzzle is tricky, but some clues may make things easier for gamers. Here are some hints to help players solve today’s puzzle. Let's start with the hints category-wise:Easiest Group (Yellow): Today’s yellow group words refer to equipment used in Summer Olympics. Moderate Group (Green): The green group consists of words that are related to social status.Challenging Group (Blue): The blue group words are associated with Umpire calls in baseball. Most Difficult Group (Purple): Finally, the purple category words that go with Chicken. One Word Hints For Today’s PuzzleIf you are still a bit confused about the themes of today’s puzzle, below are the one-word hints. From every category, one word is listed below:BEAMRANKSAFESPRINGThese one-word hints will help you identify what other words of the category may contain. Answers of Today's NYT Connections - March 2, 2026The given hints have hopefully resolved the confusion and helped players form the groups without many errors. However, if that’s not the case and some are still trying to figure out the word groups of today, here are the solutions to the NYT Connections of March 2, 2026. Yellow Category (GYMNASTICS APPARATUS): BEAM, HORSE, RINGS, VAULTGreen Category (STATUS): POSITION, RANK, STANDING, STATIONBlue Category (BASEBALL CALLS): BALL, FOUL, SAFE, STRIKEPurple Category (___ CHICKEN): FUNKY, POPCORN, RUBBER, SPRINGThese are the four categories for today’s puzzle, and congratulations to those who have solved it without any help. Also Read: Today’s NYT Strands Hints and Answers for March 1, 2026 (Puzzle #728)Check out the image below to know how to make the sets of today’s puzzle:Final WordsNYT Connections’ highlight is its four different themes. The most captivating part of this word puzzle includes its presentation of four fresh themes every day without a single repetition. Without a sound knowledge of the connection between words, there’s no way one can guess the exact word groups without help. The solution not only provides players with a satisfying experience but also enriches their vocabulary. Also Read: Today's NYT Wordle Hints and Answer for March 1, 2026 (Puzzle #1716)Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewLarger image sensors for greater light capture.Superior night-mode algorithms for clearer detail.Optical image stabilization that will help you take sharper pictures when shooting handheld.Low-light photography continues to be a challenge for many smartphone cameras. Top-tier models are typically equipped with larger sensors, faster lenses, and improved stabilization systems, allowing them to capture more light. The night mode feature on these phones helps achieve balanced exposures while minimizing noise and blurriness.Here are the five best camera phones for low-light photography in 2026, chosen based on sensor size, lens quality, stabilization, and night performance.Top 5 Best Camera Phones for Night Photography in 2026 1. Apple iPhone 15 Pro MaxApple continues to stand out by offering powerful image processing and accurate color reproduction, making the model ideal for night photography. The main sensor is larger and allows more light to be captured. Skin tone in night portraits is accurate, and highlights are well-balanced. The phone handles city lights without overexposure. Key Camera Features:48MP main sensorSensor-shift optical image stabilizationAdvanced Night modeSmart HDR processingProRAW supportBest For: Balanced night photography and video performanceBuy Now2. Samsung Galaxy S24 UltraSamsung emphasizes high resolution and strong zoom in low light. Galaxy S24 Ultra provides crisp night shots with good detail preservation. It is a good performer for concert shoots or skyline pictures.Key Camera Features:200MP primary sensorAdvanced night processing enginePeriscope zoom lensMulti-frame noise reductionOptical stabilizationBest For: Night zoom photography and versatilityBuy Now3. Google Pixel 8 ProGoogle continues to be the leader in computational night photography. Pixel 8 Pro is a standout in super-low-light conditions. The model's night mode gives the picture a natural color tone and nice contrast without artificial sharpening.Key Camera Features:50MP main sensor Night Sight technology Long exposure support Astrophotography mode Optical image stabilization Best For: Low‑light portraits and astrophotographyBuy Now4. Xiaomi 14 UltraXiaomi combines a large sensor with a variable-aperture design. The large sensor helps get more detail in scenes with insufficient lighting. Night street photographs look like detailed and well-balanced scenes.Key Camera Features:One-inch main sensor Variable aperture Leica tuned color profiles Optical stabilization RAW capture support Best For: Professional‑style night photographyBuy Now5. Vivo X100 ProVivo focuses on the clarity of dark scenes and the performance of portraits. The device can make night portraits very bright and strong, with background separation. Photographs of night streets are clear even when shot without a tripod.Key Camera Features:Large primary sensor Zeiss-branded optics Night portrait mode Optical stabilization Dedicated night algorithms Best For: Night portraits and creative photographyBuy NowConclusionNight photography is no longer just about capturing what the eye can see. It’s about exploring the world's unseen beauty after dark. Whether you’re chasing the glow of city skylines, or freezing the energy of a concert, today’s best camera phones give you the tools to turn low‑light challenges into creative opportunities.With larger sensors, smarter night‑mode algorithms, and advanced stabilization, these phones prove that the night is no longer a limitation. It has become a canvas. The right phone doesn’t just take pictures. It helps you capture the night and preserve every detail.Also Read: Top Camera Phones With AI PhotographyWhat Makes a Great Night Photography Phone1. Larger Sensor SizeLight capture is greater with bigger sensors. It reduces light scattering and noise in dark scenes.2. Optical Image StabilizationThe feeling of motion can be avoided by keeping the camera steady for a longer exposure.3. Dedicated Night ModeAdvanced processing can combine multiple frames and deliver cleaner results.4. Wide Aperture LensLower f-numbers permit a larger amount of light to hit the sensor.5. Advanced Image ProcessingSmart exposure control keeps the bright parts of the image well-lit and clear.ConclusionThe most advanced camera phones of 2026 yield remarkable results in very low light. Apple maintains a balance between color and exposure. Samsung is at its best in zoom. Google is the leader in natural language processing. Xiaomi gives all the benefits of a big sensor. Vivo emphasizes the clarity of the figure.Choosing the right phone for night photography largely depends on shooting style, lighting conditions, and budget.FAQs1. What is the best camera phone for night photography in 2026? Among the top performers are the Google Pixel 8 Pro and the iPhone 15 Pro Max. 2. Do night mode phones need a tripod? Most top-of-the-line models produce fairly sharp images that are taken without a tripod; however, a tripod is helpful for very long exposures. 3. What is most important in lowlight photography? Sensor size, stabilization, and image processing play a major role in the quality of the photos. 4. Are higher megapixels good for night photos? Megapixels are helpful in getting more detail, but the size of the sensor and the processing are more important. 5. Can midrange phones take great night photos? Some mid-range smartphones are capable of performing well, but a flagship device generally has a better dynamic range and clarity.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Philips Series 3000i: High CADR, app control, NanoProtect filtration for large polluted Indian living rooms.Dyson Purifier Cool Formaldehyde: Sealed HEPA system captures ultrafine particles while providing bladeless cooling airflow.Coway Airmega 250: Energy-efficient purification with silent night mode ideal for bedrooms and offices.Sharp FX-J80M: Plasmacluster technology neutralises pollutants and odours in heavily polluted northern Indian regions effectively.Honeywell Air Touch V5: Durable filters and wide coverage suitable for spacious urban apartments.Xiaomi Smart Air Purifier 4: Budget smart purifier with real-time AQI display and automation.Blue Star BS-AP490LAN: India-focused filtration designed for smoke, dust, and seasonal pollution spikes annually.Panasonic Nanoe X: Advanced ion technology reduces allergens and improves indoor air freshness.Smart App Integration: Enables scheduling, filter alerts, AQI monitoring, and remote control daily.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

In today's automotive marketplace, how a vehicle is presented will influence how potential customers behave. The majority of car buyers will search the Internet for vehicles, comparing prices and photos in separate tabs and enlarging photos before they ever reach out to a dealership about a vehicle. If a dealer's digital photography shows inconsistencies, lack of organization, or poor lighting, customer engagement will be low, regardless of the actual value of the vehicle.Traditionally, removing backgrounds, adjusting lighting, and resizing images to fit different online platforms required a labor-intensive editing process. This caused issues for dealerships trying to manage a high volume of vehicles.AI-powered virtual vehicle photography studios streamline this workflow for dealerships. Instead of reshooting vehicles, or outsourcing the editing of them to someone else, dealership staff can convert a standard photo of a vehicle parked on the lot into a high-quality photostudio-ready image in a matter of minutes.The following provides step-by-step instructions to create high-quality images of vehicles for retail sale using an AI-powered virtual photography studio.Why Do Car Dealerships Need an AI Virtual Car Photography Studio?Lot photography often introduces challenges such as:Distracting backgrounds (billboards, traffic, uneven surfaces)Weather and lighting inconsistenciesVariation in image quality across the inventoryTime-consuming manual editingAI virtual studios address these issues by automatically removing clutter, enhancing lighting, and placing vehicles into clean, consistent environments, all while preserving realistic shadows and proportions.The result is a cohesive digital showroom that looks polished and professional.How to Use an AI Virtual Car Photography StudioUsing AI-powered tools like Spyne’s AI car photo editing software follows a structured, beginner-friendly workflow. No advanced editing skills are required.1. Upload Your Vehicle ImagesStart with standard lot photos.Ensure the vehicle is clearly visibleAvoid heavy obstructionsCapture consistent angles (front, side, rear)Bulk uploads allow dealerships to process multiple vehicles simultaneously, making it suitable for high-volume inventory.2. Automatically Remove the BackgroundOnce uploaded, the AI system detects the vehicle and separates it from the existing environment.Edges are refined automaticallyBackground clutter is removedVehicle proportions remain accurateThis eliminates the need for manual cutout tools or complex editing software.3. Select a Professional Studio EnvironmentChoose a virtual studio setting that aligns with your dealership’s branding.Select from options like:Clean white studio backdropsNeutral gradient environmentsPremium showroom-style settingsMaintaining the same background style across listings creates visual consistency and strengthens brand identity.4. Enhance Lighting and Image ClarityThe AI adjusts brightness, contrast, and sharpness automatically.Reconstructs natural shadowsPreserves paint texture and reflectionsImproves clarity for zoomed-in viewingUnlike heavy filters, enhancements are designed to appear realistic rather than overprocessed.5. Generate and Download High-Resolution ImagesAfter reviewing the preview, generate the final output.Images are optimized for:Dealership websitesThird-party marketplacesSocial media campaignsDigital advertisingDownload high-resolution files ready for immediate publishing.Key Benefits of Using Spyne’s Virtual StudioSome noteworthy advantages offered by Spyne’s Virtual Studio are: Faster Processing: Vehicles can be transformed into studio-quality visuals within minutes.Scalable Operations: Large inventories can be standardized without increasing manual workload.Consistent Branding: Every vehicle appears in a uniform, professional environment.Higher Buyer Engagement: Clean, distraction-free visuals help maintain attention and build trust.In digital retail, first impressions often determine whether a buyer continues browsing or moves on to another listing.Best Practices for Optimal ResultsTo achieve the best output quality with Spyne’s AI virtual car photography studio:Capture evenly lit source imagesAvoid extreme underexposureMaintain consistent shooting anglesStandardize your chosen studio environmentThese steps ensure visual uniformity across all listings.Studio-Ready Car Images in Minutes with Spyne AIThe rise of digital automotive retail means that presentation is critical to grabbing the attention of potential buyers. As such, studio-quality visual content is no longer the domain of only luxury brands, but an industry-standard requirement.With AI-powered virtual car photography studios, dealerships can now deliver this quality consistently and at scale through the use of automated background processing, improved lighting and scalable workflows. This enables dealerships to improve their online marketing and the digital experience of their virtual showroom.In a competitive market, a professional presentation is not just an aesthetic upgrade but a measurable advantage.

Trump reportedly bans Anthropic while the US military uses it, Grok controversy sparks debate, Claude tops the App Store, smartphone market faces record decline in 2026, and Airtel partners with Google for AI expansion.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

As more companies integrate large language models into customer support, analytics, and internal automation, the main concern is no longer “Which model is the most advanced?” It is “Which API can we afford to run at scale without sacrificing output quality?” For teams evaluating the GPT-5.2 API, pricing transparency and performance consistency matter just as much as reasoning strength. A careful look at GPT-5.2 API pricing—and how it compares in a GPT-5.2 vs Gemini 3 Pro API analysis—can determine whether a deployment remains sustainable over time. This article examines those trade-offs from a practical standpoint, focusing on cost structure, workload behavior, and real production implications.Core Capabilities of the GPT-5.2 APIAdvanced Reasoning with Configurable Inference DepthOne of the defining strengths of the GPT-5.2 API is its ability to handle multi-step reasoning without losing coherence across long outputs. For teams using the gpt-5.2 model API in research, financial analysis, or complex automation workflows, this translates into more reliable structured responses and fewer breakdowns in logical chains. The model is designed to maintain consistency even when prompts require layered instructions or iterative reasoning.Long-Context Processing for Document-Heavy WorkloadsModern enterprise use cases often involve large documents, codebases, or knowledge repositories. The GPT-5.2 API supports extended context windows, making it suitable for summarizing reports, reviewing contracts, or analyzing technical documentation in a single request. This reduces the need for chunking strategies and helps preserve contextual continuity across long inputs.Structured Output Stability for API IntegrationIn production environments, consistency matters more than creativity. The GPT-5.2 API is optimized for structured outputs such as JSON, schema-bound responses, and tool-calling formats. This stability simplifies backend integration, reduces post-processing overhead, and improves reliability in systems that depend on deterministic API behavior.Scalable Performance Under High-Volume UsageWhen workloads scale to millions of tokens per month, performance variability can become a cost driver. The GPT-5.2 API is engineered for steady inference behavior under sustained usage, making it suitable for customer support automation, analytics pipelines, and AI-powered SaaS features. This consistency supports predictable throughput and reduces operational friction in high-demand environments.Key Capabilities of the Gemini 3 Pro APIMultimodal Processing Across Text, Code, and Visual InputsThe Gemini 3 Pro API is designed to handle diverse input types, including text, structured data, and visual content. This multimodal capability supports use cases such as document analysis, image-assisted workflows, and code generation within unified systems. For enterprise environments that rely on mixed data formats, this flexibility can reduce the need for multiple specialized models.High-Throughput Performance for Enterprise ApplicationsEnterprise AI systems often require stable throughput under continuous demand. The Gemini 3 Pro API is optimized for production environments where latency and reliability directly affect user experience. Its architecture supports consistent inference behavior, making it suitable for analytics platforms, enterprise copilots, and customer-facing tools.Security, Compliance, and Data Governance ControlsFor regulated industries, model capability alone is not enough. The Gemini 3 Pro API benefits from Google’s established compliance frameworks and security infrastructure, which can be critical for sectors such as finance, healthcare, and public services. Built-in governance mechanisms help organizations maintain data residency and access controls at scale.Strong Code Generation and Engineering Task SupportThe Gemini 3 Pro API performs reliably in day-to-day programming tasks such as generating boilerplate code, refactoring existing functions, writing unit tests, and explaining unfamiliar codebases. It handles common languages and frameworks with reasonable syntax accuracy, making it useful for speeding up routine development work. For teams building internal tools or integrating AI into engineering workflows, this level of coding support can reduce repetitive effort while keeping human review in the loop.GPT-5.2 API Pricing vs Gemini 3 Pro API PricingThe official GPT-5.2 API pricing is based on token usage. Input tokens are priced at $1.75 per 1M tokens, cached input tokens at $0.175 per 1M tokens, and output tokens at $14.00 per 1M tokens. This structure separates standard input, cached input, and output costs, which is important for applications that reuse context or generate long-form responses at scale.For the Gemini 3 Pro API, pricing varies by modality. Text or image input is priced at $0.25 per 1M tokens. Image output is charged per generated resolution: $0.045 per 0.5K image, $0.067 per 1K image, $0.101 per 2K image, and $0.151 per 4K image. Google Search tool usage includes 5,000 free requests per month, after which it is billed at $14 per 1,000 requests. This pricing model reflects Gemini’s multimodal and tool-integrated design.Accessing AI Models via Kie.ai: Deployment Flexibility and Unified API ManagementLower GPT-5.2 API Pricing and Gemini 3 Pro API CostsKie.ai offers both the GPT-5.2 API and Gemini 3 Pro API through a prepaid credit system with no subscription required. The GPT-5.2 API pricing starts at approximately $0.44 per 1M input tokens and $3.50 per 1M output tokens, with high-tier top-ups reducing the effective rate further. The Gemini 3 Pro API is similarly priced at around $0.50 per 1M input tokens and $3.50 per 1M output tokens. Overall, both APIs are roughly 70–75% lower than standard official pricing, making large-scale usage more cost-efficient.Stable Infrastructure with High-Concurrency SupportBeyond pricing, production environments demand reliability. Kie.ai provides infrastructure designed for stable throughput and high concurrency, allowing both the GPT-5.2 model API and Gemini 3 Pro API to operate smoothly under sustained workloads. For SaaS platforms, automation tools, and AI-powered services, consistent response times and reduced failure rates directly impact user experience and operational efficiency.Detailed API Documentation and Technical GuidanceIntegration speed often determines how quickly a team can move from testing to deployment. Kie.ai offers comprehensive API documentation, structured usage examples, and technical support resources to streamline onboarding. Clear endpoint specifications and parameter explanations reduce trial-and-error development, particularly for teams integrating multiple large-model services within a unified workflow.Security Controls, Usage Limits, and Update TrackingOperational governance is equally important. Kie.ai includes API key whitelisting, customizable usage limits, and activity controls that help teams manage risk and prevent misuse. In addition, an API Updates log allows developers to monitor changes, version adjustments, and performance improvements in real time. This level of visibility supports informed decision-making when working with evolving services like the GPT-5.2 API and Gemini 3 Pro API.Evaluating GPT-5.2 API and Gemini 3 Pro API for Scalable AI DeploymentChoosing between the GPT-5.2 API and the Gemini 3 Pro API ultimately comes down to workload priorities. GPT-5.2 emphasizes structured reasoning, long-context stability, and predictable token-based billing, while Gemini 3 Pro highlights multimodal flexibility and integration within the Google ecosystem. A close review of GPT-5.2 API pricing alongside Gemini’s modality-based cost structure shows that pricing models differ not just in numbers, but in how they affect scaling strategy and operational planning.The evaluation of GPT-5.2 versus Gemini 3 Pro API requires more than performance benchmarks to assess their effectiveness. Teams need to evaluate three factors which include token economics and infrastructure reliability and integration requirements before proceeding with production deployment. Organizations can create sustainable decisions by matching their model capabilities with actual usage patterns and financial restrictions.

Grok did not predict the US-Israel strike on Iran. On March 1, speculation was rife that the AI chatbot had already predicted the US and Israel’s attack on Iran. However, in reality, the viral claim dates back to a war-gaming exercise by The Jerusalem Post on 25th February 2026. The publication asked Grok, ChatGPT, Gemini, and Claude the same question: pick a likely date for a hypothetical US attack on Iran.The goal was to compare how AI models reason under pressure, not to forecast a real military operation.One Correct Date Fuelled NarrativeGrok chose February 28, 2026, as a single-day answer. ChatGPT first suggested March 1, then shifted to a March 3-6 window. Gemini pointed to March 4-6. Claude refused to give a date.When US-coordinated strikes began on February 28, Grok’s response went viral. Elon Musk amplified the moment on X and called prediction the ultimate measure of intelligence. The post pushed the idea that Grok outperformed rival models.Exercise Did Not Test PredictionThe Jerusalem Post later clarified that the exercise did not validate real-world forecasting. The prompt forced each model to pick from a narrow set of plausible timelines.Prediction of the future is the best measure of intelligence https://t.co/dOKO03vXwr— Elon Musk (@elonmusk) February 28, 2026 Rising regional tensions, military movement, and diplomatic signals had already created a limited window for any potential strike. A match with the real date reflected probability, not foresight.Also Read: How to Choose Between Gemini, ChatGPT, and Grok for Personal Finance Advice?No AI Had Access to Classified PlansDefense officials say the operation had been planned for months and that the launch window was fixed weeks in advance. The information had remained classified.No public AI system, including Grok, had access to it. All four models relied on open-source geopolitical signals to generate their answers.AI Rivalry Shaped Online ReactionThe episode quickly fed into the ongoing contest between xAI, OpenAI, Google, and Anthropic. Social media posts framed the coincidence as a technical win.The viral claim showed how selective screenshots and platform amplification can turn a controlled experiment into a claim of machine intelligence.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Good morning, tech fam; here are some quick tech updates for you.What’s New Today: Nvidia is planning a new AI chip for OpenAI after investing $30 billion. This chip will focus on inference, which means it will run AI tasks faster and give real-time answers while using less power. It may be announced at Nvidia’s GTC event.Fast-Track Insights: SFO Technologies has raised ₹750 crore in a funding round led by Trident Growth Partners and Amicus Capital Partners. The company will use the money to expand its factories and grow its business in global markets.Here’s a quick rundown of the biggest tech headlines making waves today. Let’s dive into the top stories, from Nvidia’s $30 billion AI chip move with OpenAI to SFO Tech’s ₹750 crore expansion, plus updates on Japan’s early hiring push and Trump Media’s Truth Social plans.Nvidia Plans Special AI Chip for OpenAIAfter investing $30 billion, Nvidia is reportedly working on a new AI chip specially designed for OpenAI. Unlike its usual GPUs that train AI models, this chip will focus on running AI tasks faster and more efficiently. It may be introduced at the Nvidia GTC event and aims to improve real-time AI responses while using less power.Read MoreSFO Tech Raises ₹750 Crore for ExpansionSFO Technologies has raised ₹750 crore in a new funding round led by Trident Growth Partners and Amicus Capital Partners. The Kochi based electronics manufacturing company will use the money to expand its factories, improve supply chain integration, and grow its global presence. The company also plans to strengthen partnerships and scale operations in fast growing markets across key regions.Read MoreJapanese Firms Begin Early Job SeminarsJapanese companies have started holding job seminars from March 1 for students graduating in spring 2027. Firms are eager to attract talent, especially in science and engineering, because there are not enough workers. Many students already have informal job offers, leading to discussion about job-hunting starting earlier and hiring rules losing meaning.Read MoreHow AI Makes Social Media Tracking SmarterArtificial intelligence is changing how companies study social media. It quickly checks likes, comments, shares, and even photos or videos to understand what people feel and enjoy. AI finds trends, measures engagement, predicts growth, and helps brands improve their posts and marketing plans. It saves time, gives clear insights, and supports smarter business decisions while guiding better content strategies overall.Read MoreTrump Media Plans Possible Truth Social SplitTrump Media & Technology Group is thinking about separating its social media platform, Truth Social, into a new independent public company. The move is part of a broader shift toward cryptocurrency and new business plans. The company is in talks with TAE Technologies and Texas Ventures Acquisition III. If approved, current shareholders could receive shares in the new company.Read MoreJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Khan Academy Kids: Comprehensive early learning app covering phonics, numbers, social skills, and creativity through interactive stories, games, and guided activities for toddlers.Lingokids: Play-based curriculum introducing English vocabulary, math basics, and emotional development with songs, quizzes, and parent progress tracking tools included.PBS Kids Games: Educational mini-games featuring popular characters that teach problem-solving, reading readiness, and motor coordination in a safe ad-free environment.Duolingo ABC: Structured literacy lessons helping toddlers recognize letters, practice phonics, and build early writing confidence through short engaging daily sessions.YouTube Kids: Curated video platform offering rhymes, learning shows, and parental controls to manage screen time, content filtering, and viewing history.Baby Panda World: Role-play activities introducing daily routines, creativity, and basic logic through colorful animations designed for preschool cognitive development stages.LEGO DUPLO World: Problem-solving adventures that build spatial awareness, sequencing skills, and creativity through virtual block construction and interactive storytelling gameplay.ABC Kids: Simple alphabet tracing and phonics exercises focused on handwriting readiness, letter recognition, and distraction-free learning for early learners.Sago Mini School: Playful exploration activities combining puzzles, storytelling, and number games to strengthen curiosity, focus, and independent learning habits gradually.Read More Stories!Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Adobe is looking for a Computer Scientist - II (Services + ML) for its Bengaluru office. This full-time role is part of the Firefly GenAI services team, focused on enabling and accelerating Adobe GenAI creative flows powered by advanced machine learning models. Candidates will work across design, architecture, development, and deployment phases. They will also collaborate with research and product teams to deliver scalable AI services.Location: Bengaluru, Karnataka, IndiaJob ID: R162715Apply: Click HerePrimary ResponsibilitiesTake responsibility for all engineering work which starts with project specifications and architectural design and proceeds through development and testing and ends with system deployment.Create technical specifications and prototypes and presentations to share their ideas with others.Solve production problems while creating solutions that stop future incidents from happening again.Expertise in new industry technologies and trends which they use to drive product development.Create either complete products or specific elements of extensive product developments.Essential Qualifications for this PositionEducation:B.Tech / M.Tech in Computer Science from a premier institute.Experience:6–8 plus years of experience in software development.Must demonstrate strong knowledge of computer science principles through their expertise in algorithm design and data structure usage and performance enhancement methods.Demonstrates extensive expertise about cloud-native applications.Skills & Knowledge:Demonstrate full proficiency in Python, PyTorch, FastAPI and Distributed Services design.Have knowledge of Redis, MongoDB, Dynamo, Cosmos, Kafka, SQS and S3.Experience with AWS or Azure, Docker, Jenkins and Splunk.Should have MLOps experience and knowledge about CI/CD procedures.Creates code which meets standards for reliability and maintenance and security and performance.Soft Skills:Dedicated work quality while showing determination to achieve goals without compromise.Exceptional abilities in both communication and problem resolution.Experience in collaborating with research teams and product development teams.Bonus Qualifications:Exposure to generative AI models in vision, audio, or text-to-image domains, including large language models.About AdobeAdobe provides digital experience solutions to customers all over the world while enabling them to create and deliver high-quality digital content. Adobe develops AI and data analytics and digital design technologies through its commitment to innovation and creativity and diversity.

Gold prices rallied sharply on Monday, tracking strength in global bullion markets as geopolitical tensions in the Middle East intensified. Escalating conflict between the US, Israel and Iran has heightened economic uncertainty, prompting investors to shift toward safe-haven assets.On the Multi Commodity Exchange (MCX) gold for April delivery rose 2.86% to Rs. 1,66,741 per 10 grams compared to its previous close of Rs. 1,62,104. Silver futures for May delivery also increased 3.71% to Rs. 2,93,152. Domestic Gold PricesThe price of 24K gold decreased by Rs. 329 in early trade, with ten grams of the precious metal trading at Rs. 1,69,800. The price of 22K gold also declined by Rs. 300, with ten grams of the yellow metal selling at Rs. 1,55,650. The price of ten grams of 24K gold stood at Rs. 1,69,800 in Mumbai and Kolkata and Rs. 1,70,840 in Chennai. In Delhi, the price of ten grams of 24K gold stood at Rs. 1,69,950.International Market TrendsIn the global market, spot gold advanced 1% to $5,329.39 per ounce after touching a four-week high. The US gold futures rose 1.8% to $5,342.80 per ounce. Silver prices jumped as much as 2.8% to $96.4 per ounce before trimming some gains.The renewed surge in bullion prices comes as military developments in the Middle East continue to fuel concerns about disruptions to the supply chain, potential instability in the energy market, and broader and more intense macroeconomic risks.Sustained Bullish MomentumGold has now logged its seventh consecutive monthly gain, marking the longest winning streak since 1973. The ongoing rally builds on a 64% surge recorded in 2025.Analysts attribute this performance to persistent central bank purchases, strong inflows into gold-backed exchange-traded funds (ETFs), and expectations of monetary policy easing in the United States.The shift away from sovereign bonds and major global currencies has further strengthened gold’s appeal as a portfolio hedge.Also Read: Will Gold Lose Its Safe Haven Crown? A Closer Look at the 2025-2026 VolatilityGold and Silver OutlookAnalysts suggest MCX gold for April futures could test the Rs. 1,64,000 level in the near term, while Rs. 1,60,000 is expected to act as a strong support floor on declines.For silver, prices are likely to stay elevated, with Rs. 2,84,000 per kilogram identified as an immediate resistance zone. Continued geopolitical tensions and global uncertainty may keep precious metals supported in the short term.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Indian markets are likely to open Monday’s session on a weak note amid intensifying geopolitical tensions in the Middle East. Early cues from GIFT Nifty suggest a gap-down start with index trading near 25,230, around 127.5 points below previous Nifty futures close.Heightened volatility follows the reported escalation between the US, Israel and Iran which rattled global risk sentiment. Friday Recap: Sharp Sell-OffSensex declined 961.42 points to close at 81,287.19, while Nifty 50 dropped 317.90 points to settle at 25,178.65.India VIX rose nearly 5% to 13.50 and it signals a pickup in volatility expectations. Derivative positioning and technical indicators suggest traders are preparing for further swings.Sensex OutlookSensex has tested the 81,200-81,000 range, which is now its primary support level. A sustained break below this band could open the door toward 80,500 and 80,000.The resistance level is at 82,000 and ends at 82,500 while stronger selling pressure will develop near the 83,000 mark. The analysts observe that major stocks provide structural stability while the current market sentiment remains unstable amid global uncertainties.Nifty 50 OutlookNifty 50 has formed a large bearish candle on the daily chart, reflecting decisive selling pressure. Notably, the index has slipped below its 200-day moving average at 25,350 which now becomes immediate resistance.The weekly chart shows a 1.54% decline accompanied by lower highs and lower lows and it is an indication of weakening momentum. Key support levels are at 25,000 followed by 24,800. A break below the psychological 25,000 level may accelerate downside toward 24,700.The MACD has signaled a bearish crossover while the RSI continues to drift lower. It is suggesting limited buying strength. Resistance levels are clustered at 25,400-25,500 and failure to sustain above these zones may attract selling.Also Read: Which Is the Best Stock Market App in India in 2026? Top Picks RevealedBank Nifty OutlookBank Nifty closed at 60,529, down 658.70 points or 1.08% and has formed a short-term double-top pattern. Immediate support lies in the 60,300-60,250 range while a decisive break below 60,000 could push index toward 59,500.On the upside resistance is seen at 60,700-60,900 with stronger supply near 61,000-61,500. The index has slipped below its 21-day EMA and it reflects fading bullish momentum.

OverviewPyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of most advanced programs.Hardware optimization and deployment knowledge are becoming essential for AI careers.PyTorch remains one of the most popular deep learning frameworks. It is widely used in research labs, startups, and large tech companies. The framework continues to grow because of strong community support, frequent updates, and better hardware integration. Recent industry reports show that major cloud providers are working closely with AI companies to improve PyTorch performance on different hardware systems, including GPUs and TPUs. This shift is shaping how modern courses teach model training and deployment.Let’s take a look at the best PyTorch courses and the learning and academic material that they have to offer.1. PyTorch Professional Certificate (Coursera – DeepLearning.AI)This professional certificate program is made for people who want a clear and organized learning path. It teaches important topics like tensors, neural networks, training models, improving performance, and deploying models in real projects. The course includes coding practice and graded assignments.Many employers prefer structured programs because they offer trusted certificates. Many AI job listings now ask for PyTorch skills. This program also includes final projects that feel like real industry work, such as building image classifiers and NLP models.Best for: Beginners and intermediate learners who want step-by-step guidance and a recognized certificate.2. Practical Deep Learning for Coders (fast.ai)The fast.ai course is easy to follow and very practical. It teaches how to build real AI models quickly. It does not spend too much time on difficult math. The main tool used in the course is PyTorch.The updated lessons now teach diffusion models, transformers, and generative AI. These topics are important as many companies are using artificial intelligence to create content and improve automation.The course is free and based on real projects. Students start training real models early, which helps them gain confidence and useful skills.Best for: People who like learning by doing and want to see fast results.Also Read - NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?3. Transformer-Focused PyTorch Courses (Udacity)Transformer models power many AI systems today, including large language models and advanced vision systems. Udacity offers specialized courses that focus on building and fine-tuning transformer networks using PyTorch.The 2025–2026 updates emphasize production-level training. Lessons include model efficiency, transfer learning, and deployment to cloud platforms. 4. Official PyTorch TutorialsThe official PyTorch documentation remains one of the best learning resources. Tutorials range from beginner basics to advanced distributed training. These materials are updated with every major PyTorch release. Since companies are working to improve hardware compatibility, official guides often reflect these changes first.Best for: Learners who want up-to-date technical details directly from the source.Also Read - How to Build a Language Model with PyTorch?Key Trends in PyTorch Learning (2026)Hardware flexibilityRecent industry news highlights collaboration between major cloud companies and AI organizations to improve PyTorch support across GPUs and TPUs. This reduces dependency on a single hardware vendor and increases performance options.From research to productionModern programs teach more than just model building. They include deployment, optimization, monitoring, and scaling. Employers expect engineers to move models from notebooks to real systems.Final ThoughtsPicking the right PyTorch course depends on career goals. Certificate programs give step-by-step lessons and a recognized proof of learning. Practical courses help build confidence through real projects. Advanced transformer classes prepare learners for high-demand AI jobs. Official tutorials help learners stay up-to-date on new features.With strong support from the tech industry, improved hardware, and rapid growth in generative AI, PyTorch is expected to stay as an important skill for the future.You May Also Like:Top Pandas Courses and Certifications for Python in 2026Best Interactive Python Courses: Your Weekend Learning GuideTop Python Courses for Data Science EnthusiastsFAQs1. Are PyTorch courses suitable for beginners?Yes, many programs start with basic tensor operations and gradually move to advanced Deep Learning models.2. Do PyTorch courses cover NLP in 2026?Most updated courses include NLP topics such as transformers, text classification, and language models.3. Is certification important for AI jobs?Certificates can improve credibility, especially when applying to AI companies, but strong project work matters more.4. Are production and deployment skills taught?Yes, modern courses now include model serving, optimization, and cloud deployment practices.5. How long does it take to learn PyTorch properly?With consistent study and practice, core skills can be developed in three to six months.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp