News Summary 

  • NVIDIA Nemotron 3 models enable AI agents to engage in natural conversation, perform intricate reasoning, and leverage advanced visual features.  
  • NVIDIA, ISAAC, GR00T, N1.7, Alpamayo1.5, and Cosmos 3 improve physical AI reasoning and actions for robots and self-driving vehicles. (GR00T stands for Generalist Robot Reasoning Observation and Ontology Transformer. VLA means Visual and Language Action, which refers to processing and linking visual input, language, and actions in AI systems). 
  • The Proteina Complexa model in N-Media, BioNeMo speeds protein drug discovery. It includes a new dataset of millions of AI-protected protein complexes, created in collaboration with Google DeepMind, EMBL, and Seoul National University in the United States. Quality.  
  • Companies like CodeRabbit, CrowdStrike, Cursor, Factory, ServiceNow, and Perplexity use NVIDIA open models for agentic AI. LG Electronics and Milestone Systems use them for physical AI. Novo Nordisk, Viva Biotech, and Manifold Bio use them for healthcare and AI.  

At GTC, NVIDIA announced the expansion of its model families, positioning these new models as foundational to the next generation of agentic physical and healthcare AI. This initiative is designed to help developers and scientists build intelligent systems that reason and act effectively in digital and real-world scenarios.  

Open models are essential drivers of global innovation. NVIDIA’s expanding suite includes Nemotron (Agentic Systems), Cosmos (Physical AI), Alpamayo (Self-Driving Vehicles), ISAAC, GR00T (Robotics), and BioNemo (Biomedical research), all of which are central to unlocking new abilities across industries.  

“Open source AI drives global innovation,” said Kari Vriski, Vice President of Generative AI Software at NVIDIA. NVIDIA’s open model families broaden intelligence across biology, robotics, and autonomous machines, empowering developers to build smart agents that advance both digital and physical industries.  

NVIDIA, NemoTron 3, Ultra, Omni, and VoiceChat Models Power AI Agents 

The NVIDIA NemoTron family now includes models for language, vision, voice, and safety, helping developers build specialized agentic AI.  

NVIDIA, Nemotron 3 multimodal models support natural conversation, intricate reasoning, and advanced skills for AI agents.  

  • NEMOTRON 3 ULTRA offers advanced intelligence to boost productivity. The NVF P4 format (a data format developed by NVIDIA for efficient processing and storage) on the NVIDIA Blackwell platform delivers 5 times greater efficiency. Key benefits include support for AI-native applications such as coding assistance, faster research, and complex workflow automation.  
  • NEMOTRON 3-OMNI integrates audio, vision, and language, enabling AI agents to efficiently extract actionable insights from videos and documents, aiding decision-making and saving time.  
  • NEMOTRON 3 voice chat enables real-time conversations where AI can listen and respond simultaneously. It brings together speech recognition, language processing, and text-to-speech into a single system.  
  • Nemotrons, safety models, and retrieval tools enhance trust in the multimodal system. They detect unsafe content in text and images, and agentic retrieval improves the accuracy of results.  

Langchain now uses NVIDIA, Nemotron models, and other NVIDIA Agent Toolkit software in its agent development platform. This helps businesses build, deploy, and monitor smart AI assistants that can automate complex tasks at scale.  

Companies such as Automation Anywhere, Code Rabbit, CrowdStrike, Cursor, Factory, Distil, GenSpark, Perplexity, and ServiceNow use NVIDIA NemoTron models for advanced agentic applications. Edison Scientific applies NVIDIA NemoTron in Kosmos, an autonomous AI scientist that supports over 50,000 researchers in completing hundreds of research tasks simultaneously, significantly reducing months of work to a single day.  

AI developers use NemoTron to create sovereign models for billions of people across languages and cultures. Organizations include AI Singapore, Bielik.AI, Indosat, Ooredoo, Hutchison, Linagora, Soofi, Stockmark, Trillian Labs, Viettel, and YTL AI Labs.  

NVIDIA released Nemotron personas: privacy-focused synthetic datasets based on census and demographic data. The France dataset generated with Pleias is now available, along with datasets for the US, Japan, India, Brazil, and Singapore. NVIDIA also accelerates self-driving development with new models and simulation tools, helping robots and vehicles reason and act in the real world.  

  • NVIDIA Cosmos 3 the first world foundation model uniting world generation, physical AI reasoning, and action simulation arrives soon to help physical AI in complex settings.  
  • NVIDIA ISAC GR00TN1.7 is an open source reasoning vision-language-action (VLA) model, where VLA stands for Visual and Language Action, designed for humanoids. It is now ready for actual use.  
  • NVIDIA Alpamayo 1.5 is a VLA model that boosts autonomous vehicle reasoning, offering navigation guidance, prompt conditioning, flexible multi-camera support, and adjustable camera settings.  

At GTC, NVIDIA CEO Jensen Huang previewed GR00T-N2, a next-generation robot foundation model based on Dream Zero research. GR00T-N2 completes new tasks in new environments over twice as often as top VLA models. It leads in Malmo Spaces and RoboArena for generalist robot policies and is expected by year’s end.  

Companies like HCL Tech, Johnson & Johnson, MedTech, Milestone Systems, Mimic Robotics, Skilled AI, Tulip, and Toyota Research Institute use NVIDIA Cosmos to accelerate physical AI training and video analytics. Humanoid LG Electronics Neura and Noble machines use NVIDIA ISAC GR00T N1.7 for deploying humanoid robots.  

Open Models Accelerate Healthcare and Life Sciences Research 

NVIDIA is advancing AI-driven discovery in healthcare and life sciences with open, multimodal-based models and datasets. These tools speed up biomedical research, drug discovery, medical imaging, and the understanding of scientific literature and life sciences, helping researchers develop new knowledge and model, design, and simulate biological systems at scale.  

Proteina-Complexa is a generative model for designing protein binders, speeding up structure-based drug discovery and therapy development. NOVO, Nordisk, Viva Biotic, and Manifold Bio use it to design and test proteins that bind to target proteins.  

NVIDIA worked with EMBL, Google DeepMind, and Seoul National University to expand the AlphaFold protein structure database, adding about 30 million protein-complex predictions, including 1.7 million high-confidence entries. This accelerates drug-target discovery and understanding of disease biology.  

NVIDIA also launched NVQSP, a GPU-accelerated simulation engine that allows pharmaceutical researchers to test many more treatment scenarios in computer models before clinical trials. In tests, it was up to 77 times faster than traditional single-threaded CPU simulations, letting some scientists analyze hundreds of treatment levels and patient groups in the time it used to take to simulate just a few.  

Availability 

Some NVIDIA open models, data, and frameworks are available on GitHub, Hugging Face, various cloud and AI platforms, and build.nvidia.com.  

Many models are also offered as NVIDIA NIM microservices. These enable secure, scalable deployment across any NVIDIA-accelerated infrastructure, from edge devices to the cloud.

Source: NVIDIA Expands Open Model Families to Power the Next Wave of Agentic, Physical and Healthcare AI 

ChatGPT now has over 800 million weekly users. This rapid adoption is accelerating the use of AI in workplaces and other settings.  

Historically, technologies like steam engines and semiconductors created economic value when scaled. Enterprise AI appears to be reaching this phase.  

We are pleased to present the State of Enterprise AI report, providing a comprehensive overview of how companies leverage AI, employee benefits, and how leadership translates experimentation into productivity and skill development.  

The analysis uses two new sources of data:  

  • Real-world usage data from enterprise customers of OpenAI.  
  • An OpenAI survey of 9,000 workers across almost 100 enterprises documenting patterns of AI adoption.  

We removed personal details and combined the data to protect privacy.  

AI Adoption Is Speeding Up and Becoming More Advanced 

More companies are using AI in new ways. It is changing the way teams work and how products are delivered.  

  • In the past year, weekly messages in ChatGPT Enterprise grew about 8×, and the average employee is sending 30% more messages.  
  • Use of workflows like projects and custom GPTs grew 19 times over this year, indicating a shift toward integrated, repeatable processes.  
  • Organizations now use 320 times more reasoning tokens. This shows that smarter models are built into more products.  

AI is used more for complex tasks. More employees are adopting it and doing advanced work.  

Growth Is Rapid Across Industries and Geographies 

AI is being adopted in every sector, but we see the fastest growth in:  

  • Technology, healthcare, and manufacturing are the fastest-growing sectors.  
  • Professional services, finance, and technology operate at the largest scale.  

Around the world, business customers are growing fastest in Australia, Brazil, the Netherlands, and France, each with year-on-year growth of over 140%.  

International API customers have grown by more than 70% in the past six months. Japan now has the most corporate API customers outside the US.  

Workers Are Seeing Real Benefits From Using AI 

Across surveyed enterprises, 75% of workers said AI has made their work faster or better. Many save 40 to 60 minutes a day, and heavy users save over 10 hours a week. AI is adding value in many departments:  

  • 85% of marketing and product users report faster campaign execution.  
  • 75% of HR professionals report increased employee engagement.  
  • 73% of engineers report faster code delivery.  

Importantly, AI is not just making work faster. It’s also helping people take on new types of tasks.  

  • Coding-related messages increased by 36% among workers outside technical functions.  
  • 75% of users report being able to complete new tasks they previously could not.  

AI bridges the gap between concepts and outcomes, empowering employees to realize their ideas regardless of background or technical expertise.  

Leading Users And Organizations Are Moving Ahead 

Our data shows the gap between top users and companies, and the average is growing.  

  • Top workers the 95th percentile send six times more messages than the average employee and use more advanced features.  
  • Frontier firms send 2x more messages per seat and show deeper integration of AI across teams. Leading companies send twice as many messages per user and have deeper AI integration across their teams, as users consume more intelligence and engage across more distant tasks  

AI is evolving rapidly. The main challenge now is preparing organizations to put it into practice.  

Looking Forward: AI Is Changing How Modern Businesses Operate 

The report helps organizations plan for better AI use by showing how top companies find value and achieve bigger results over time.  

We invite executives, operators, and builders to read the report and review its insights. We welcome your feedback on the questions it raises and those that may come up as we keep studying how organizations move from trying AI to using it for lasting, high-impact results. This is an ongoing report, and we will keep sharing what we learn as things develop.  

To see the full findings or discover how your organization can leverage AI responsibly, contact us today to start your AI journey. 

Source: The state of enterprise AI 

Microsoft is adding new AI features, such as Microsoft 365 Copilot and Windows 11 updates, to help people work more efficiently on complex tasks.  

Main AI Features That Improve Productivity 

Microsoft 365 Copilot, Microsoft’s AI-powered assistant, works with Word, Excel, PowerPoint, Outlook, and Teams to help automate tasks and provide intelligent suggestions.  

  • In Teams, you get smart meeting summaries, live transcriptions, and automatic task tracking.  
  • Outlook summarizes long email conversations and suggests replies, making inbox management easier.  
  • Word and PowerPoint draft proposals, summarize documents, and build presentations from simple prompts.  
  • Excel analyzes data, creates visual reports, and answers questions in plain language, such as “Show me last quarter’s top performing product.”  

Agent Workspace in Windows 11, currently in experimental mode, lets AI agents run in the background in their own secure sessions. These agents can perform tasks like file organization and task completion without constant user supervision, allowing you to focus on higher-priority work. These agents can access your documents, pictures, and folders to organize files and perform tasks independently.  

Copilot Pro and new Frontier features 

  • Subscribers receive early access to frontier features, including models that enable the creation of custom workflows.  
  • They also get higher limits for sophisticated tools such as DALL·E 3 image generation and in-depth research features.  

Microsoft Designer and AI Image Tools 

  • Users can create images, edit photos by removing objects or backgrounds, and generate visual content by describing requirements.  

Power Automate and AI Builder 

  • These tools allow anyone, even without coding experience, to set up AI-powered workflows like extracting data from invoices or sorting support tickets.  

Key Areas of Productivity Improvement 

  • 24/7 availability AI agents are designed for 24/7 availability to help employees and make teamwork smoother, adapting to work developments over time.  
  • Microsoft prioritizes trusted AI, keeping Copilot data secure within your organization. These updates were announced in late 2025 and early 2026. They reflect a shift toward smarter AI agents that can save users hours of manual work each week.  

The digital workspace is evolving rapidly. In March 2026, Microsoft introduced AI features across its products to make everyday work easier. Now, operating systems and office tools actively support task execution, the launch of the Frontier Suite, and the addition of GPT-5.4. Thinking models enable the process of more complex multi-step tasks beyond basic text generation.  

For professionals handling a lot of information, these updates reduce the mental effort required to switch between tasks and sources by integrating smart AI into Windows 11 and Microsoft 365. The software now works more closely with you.  

A New Era of Automated Workflows 

The biggest change in the 2026 update is that Copilot has grown from a simple chatbot to a true autonomous assistant.  

With Microsoft Agent 365, users can now set up digital teammates that handle entire processes from start to finish. Instead of needing AI for every step, you can give these agents a goal like “audit these supplier invoices against our procurement policy,” and they’ll work through Outlook, Excel, and SharePoint to get it done on their own.  

Work IQ is a new feature that helps AI understand your business context. It spots connections, remembers team decisions, surfaces content, and proactively brings up useful files, making drafts more tailored to your company’s data and style.  

Improving The Core Windows 11 Experience 

With the 2026 Windows 11 update, the new AI Explorer for an intelligent search tool lets you search your digital history using everyday language. Instead of searching for a file name, you can just say, “Find that chart about semiconductor trends I was looking for last Thursday,” and the system will check your browser history, screenshots, and documents to find it.  

A key part of this update is on-device processing enabled by neural processing units (NPUs), computer chips in new Copilot Plus PCs designed to speed up AI tasks. Features like live captions with real-time translation and Windows Studio effects run directly on your computer rather than in the cloud.  

This means you can stay productive even when you are travelling or when your internet connection is weak. Doing these AI tasks offline often speeds things up and keeps your data private, since sensitive information stays on your device.  

Making Communication And Joint Effort Easier 

Too many emails and meetings still slow people down, but Microsoft’s new updates seek to fix this. In Outlook, Copilot can now automatically handle meeting RSVPs. Check your calendar for conflicts and even write conditional replies that ask for an agenda before you commit.  

The new Edit with Copilot tool in the Outlook side panel lets you adjust the mood of your messages and quickly summarize long email threads. So, you can read a 20-email chain in just one paragraph.  

Microsoft Teams has also improved with the new Co-Work feature. In live meetings, the AI can join as a participant. You can mention it to look up data, create visualizations, or explain something from an earlier session. The meeting recap is now a dynamic dashboard that lists tasks, assigns them to the right people, and automatically updates project schedules in Microsoft Loop.  

Security and Governance with AI 

As AI becomes a bigger part of work, the shadow AI problem (when employees use unauthorized AI tools at work) is being managed with Microsoft Entra, an identity and access management system that controls who can use specific tools, and the new agent ID system, which assigns a digital identity to each AI agent. Now, every AI agent follows the same identity and access rules as human employees. This lets organizations expand automation safely, knowing that AI will respect permissions and keep sensitive information secure.  

With GPT 5.4 thinking, self-correction reasoning is now a key feature when working with complex spreadsheets in Excel. The AI checks its own logic and flags possible errors for unusual data before you even see the results. Such reliability is important in situations where a single mistake could have a significant financial impact.  

Gazing Forward: People and Machines Working Together 

We are heading to a future where computers don’t just need instructions; they understand what we want to do. As these AI features become standard, the line between our ideas and their digital results will get even thinner. Soon our PCs might not just wait for us to log in but start working before we do sorting through messages and planning our day. This future technology quietly helps us navigate and get our work done, so we have more time to think, explore, and create. 

Source: Microsoft Adds AI Features to Boost Everyday Productivity  

Key Takeaways 

  • Rufus is an AI assistant in the Amazon shopping app and website. Powered by generative and agentic AI, it makes shopping faster and easier by giving customers useful information and product recommendations.  
  • Rufus tailors responses and recommendations by analyzing each customer’s Amazon activity and the context of their shopping conversations.  
  • Built on Amazon Bedrock, Rufus leverages advanced language models to generate AI shopping experiences using Amazon’s product catalog, reviews, Q&As, and web content.  

Since launching Rufus last year, they have rapidly innovated to make it the best AI shopping assistant. It’s now smarter, more capable, conversational, and more helpful. Significant upgrades to its core capabilities in intelligence, reasoning, and performance have been made. These updates include expanding its general knowledge of the shopping category, conducting product research and evaluation, and providing product search and recommendations. We’ve introduced over 50 technical upgrades and new features to make it a faster, more useful shopping companion that saves customers time and money.  

Our AI shopping assistant has helped customers billions of times, and we have continuously enhanced its neural network by expanding its knowledge graph, product attributes, and customer choices. Using a real-time router, it combines models accessed through Amazon Bedrock. This enables our AI assistant to quickly scale to serve hundreds of millions of users with flexible model selection, including Anthropic’s Claude, Sonnet, Amazon Nova, and a custom model based on Amazon’s store knowledge. It optimizes fork capability, latency, and answer quality across several query pages. It also uses retrieval-augmented generation (RAG) to obtain insights and recommendations from sources like The New York Times, USA Today, Good Housekeeping, and Vogue when answering questions about products and trends. Friends.  

Our AI assistant can solve customer problems and answer a wide range of questions at any stage of the shopping journey, exhibiting flexibility, intelligence, and multi-step reasoning. It can quickly handle everything from broad questions that inform a shopping trip to highly specific questions about product details. This adaptability enables our in-store shopping assistant to serve as both a knowledgeable shopping consultant for high-level problem-solving and product discovery, and a product expert capable of providing comprehensive comparisons and answering detailed product questions.  

More than 250 million customers have used Rufus this year, with monthly average users up 149% and interactions up 210% over the past year. Customers who use it while shopping are over 60% more likely to make a purchase during that trip. Our shopping assistant is easy to find. It’s available in the Amazon Shopping app on desktop and throughout our store, including on the home page, product details pages, and in the Amazon Lens live experience. To start chatting, type natural-language queries into the chat bar or tap the microphone to speak.  

Rajiv Mehta, Vice President of Search and Conversational Shopping at Amazon, said we’ve built and continue to improve our next-gen in-store AI assistant to be a knowledgeable shopping expert right at your fingertips. It knows you and your preferences, helps you discover products, compare options and prices, make informed buying decisions, and even take action to help you get things done faster. Our goal is to save customers time and money by making online shopping simpler with real-time information and analysis. This expertise covers more than 35 product categories in our store.  

A Personalized Experience Based On Your Preferences And Shopping Patterns 

Our AI assistant now has account memory, learning from each customer’s shopping activity. Whether you are an avid trail runner, a building or budding artist, a fashionista, or a documentary film buff, it provides more personalized and relevant answers and product search results. If you’ve shared that you have 5- and 8-year-old sons who love sports, a shedding golden retriever, or a preference for organic produce, it remembers and uses those details when generating answers and search results. For example, if you ask Rufus for holiday gifts for your kids, it will recommend age-appropriate books about legendary athletes, sports-themed video games for the Xbox, and athletic apparel. If you ask about the Roomba robotic vacuum cleaner, our AI assistant will highlight how cleaning up pet hair is a key feature. Or if you are looking for groceries for your favorite pasta recipe, it’s best to choose organic tomatoes.  

You can also chat with our AI assistant and ask it to reorder items you’ve browsed or shopped for in the past. For example, reorder everything we used to make pumpkin pie last week or order the hiking boots and poles I browsed yesterday. Rufus connects the dots between past activity and current shopping needs, suggests alternatives when items are unavailable, and uses agentic AI to automatically add items to your cart for you to review before checking out.  

You can ask it to share what shopping information it remembers about you, and to add new information to inform its recommendations and make corrections, all via natural conversation, to improve and personalize the experience in the coming months. Our AI assistants will also remember your activity across Amazon’s digital services, such as Kindle, Prime Video, and Audible.  

Advanced text and visual search 

Rufus has new text and visual search features that help customers find inspiration and solve problems. Customers can search for and discover products based on activity, event, purpose, or other specific topics, whether they are looking for what they need for a day of golf, baking a cake, hosting a holiday party, or getting school supplies for their third grader. If either suggesting shoppable product categories to browse or specific items to quickly add to your cart, a search like “what items do I need to host a frozen-themed birthday party for my daughter” will find everything from decorations and tableware to games and party favors. You can select items one by one or ask it to add all items to your cart.  

Our AI assistant can help you quickly find inspiration from your favorite influencers’ storefronts by asking for a specific person, such as “Find Page Dish Sorbo’s storefront.” You can use it to discover products not currently available on Amazon’s store. Type a branded search; Rufus shows products available on Amazon and from other merchants. It either shows a “Buy for me” button that lets Amazon purchase the item for you or a “Shop direct” button that directs you to the merchant’s website to complete your purchase.  

If you use iOS and handwrite your grocery or holiday shopping lists, you can now snap a photo and upload it. Our AI assistant will add the items to your cart. You can also upload photos and ask our assistant to find similar products or help you solve a problem. For example, upload a photo of a stained rug and ask, “How do I remove this coffee stain from my rug?” Rufus will examine the fabric and suggest relevant cleaning supplies. These features will be available to Android customers soon.  

Saving Money Through Historical Price Tracking, Price Alerts, Auto-Buying, and Deal Finding 

Our AI shopping assistant now shows a 30- and 90-day price tracker so customers can quickly evaluate past pricing and see if they are getting a great deal. Simply ask roofers for price history when browsing an item. Customers can set a price alert to be notified when a product reaches a target price, and Prime members can ask our AI assistant to automatically buy the item. Our shopping assistant will check prices frequently, complete the purchase using your default payment method and shipping address, and send a notification with free 24-hour cancellation if you change your mind. Auto-buy requests remain active for 6 months or until you cancel, and customers save an average of 20 percent per purchase.  

You can use our shopping assistant to search by price and find items that fit your budget, such as men’s jeans under $40 or the best toys under $15. Rufus finds smart deals by combing through Amazon’s selection and offers customized deals daily, including during major sales events. You can find the best deals across the store and in our top categories. Rufus also shows offers based on your browsing cart and wish list activity.  

Fast, Simple Customer Service 

Our AI assistant is a 24/7 customer service expert. It can help track packages and deliveries, answer questions about your order status, and explain return and refund processes. It guides you through replacements for damaged items, order changes, cancellations, or returns. The assistant also helps with account settings, payment, billing, login, and security questions. It guides you to the right support resources and connects you with a live customer service representative if needed.  

AI is one of the most transformative technologies of our time, and we are excited to continue inventing for customers. We will keep rolling out and improving these experiences to make roofers more helpful. The next time you are shopping on Amazon, put our AI assistant to work and make your shopping experience simpler, faster, and more fun.  

Sample Questions To Try Using Our AI Assistant 

Research products 

  • Does this blender crush ice? 
  • Is this water bottle dishwasher safe? 
  • Compare this with the espresso machine in my cart. 

Find Deals 

  • Are there any items on my wish list on sale? 
  • Show deals for me. 
  • Find deals on a birthday present for my mom, who enjoys gardening and yoga. 

Reorder your favorite products 

  • Order my regular coffee, La Croix deodorant. 
  • Restock my pet supplies. 
  • Order everything, I browsed yesterday. 

SourceAmazon’s next-gen AI assistant for shopping is now even smarter, more capable, and more helpful 

Google Chrome’s newest updates make browsing faster and use less computer power on Mac, Windows, Linux, and Chromebooks. The improved Memory Saver can reduce memory use by up to 40% and free up to 10 GB of RAM by pausing unused tabs. New tools like Performance Detection let you optimize Chrome with one click. Energy Saver mode helps your battery last longer.  

Key Performance Improvements 

  • Memory Saver now offers three options: moderate, balanced, and maximum. You can choose how quickly Chrome pauses unused tabs to free up memory for your work.  
  • Performance detection is a tool that checks if Chrome is running slowly and then suggests ways to improve speed, such as closing heavy tabs and turning on Memory Saver.  
  • Energy Saver mode turns on when your battery drops to 20% or less. It reduces background activity and visual effects, helping your battery last longer.  
  • Chrome now displays the memory usage for each open tab in the browser, so you can see which tabs use the most computer resources.  

How To Enable Performance Improvements 

  • To update Chrome, open Settings and select About Chrome.  
  • Open settings from the menu.  
  • Go to the Performance section, turn on Memory Saver and Energy Saver. Follow the Google Help Center for more help.  
  • If you want certain websites to stay active, add them to the Always Keep These Sites Active list in Memory Saver settings.  

These updates make Chrome quicker, especially for users with many open tabs.  

Anticipation has been high for updates to Google’s Chrome browser since its December announcement.  

According to 9to5Google, Google is now making the Memory and Energy Saver modes available for Chrome on Mac, Windows, Linux, and Chromebooks, so users on all these platforms can access them.  

These new features, Memory Saver and Energy Saver, are turned on by default. You can switch them on or off in Chrome’s Performance settings in the sidebar.  

The Memory Saver 

Memory Saver frees up memory from inactive tabs, giving other pages and apps more resources. Inactive tabs stay visible and reload when clicked.  

A speedometer icon shows when a frozen tab is now active.  

Chrome uses a lot of memory because it runs each tab separately. Memory Saver helps by turning off unused background tabs.  

Shortcuts for background tabs stay above the address bar; you can reopen them quickly, but their contents are removed from memory.  

If Memory Saver causes issues, add pages to the “Always keep these sites active” list to avoid refresh delays.  

Google says Memory Saver lets Chrome use up to 30% less memory and keeps active video and gaming tabs smooth.  

The Energy Saver 

Google says the energy saver saves battery by limiting background activity and visual effects. This includes animations, smooth scrolling, and video frame rates. Gaming and video performance may change when it’s active. A leaf icon appears next to the omnibox so you can disable it quickly.  

Google has not specified energy savings, which may vary by computer.

Source: Google adds new energy and memory saving features to Chrome 

The world’s most popular laptop is now even better. The new M5 chip brings faster performance, double the starting storage, and improved wireless connectivity, all in a thin, light, and durable aluminum body.  

Apple has announced the new MacBook Air with M5, featuring faster performance, advanced AI features, and double the starting storage. The M5 chip includes a faster CPU, a next-generation GPU, and a neural accelerator in every core, helping the laptop handle everything from creative projects to AI tasks. The new N1 wireless chip supports Wi-Fi 7 and Bluetooth 6. MacBook Air keeps its thin, light, aluminum design, Liquid Retina display, 12MP Center Stage camera, up to 18 hours of battery life, spatial audio, and two Thunderbolt 4 ports for up to two external displays with macOS, Tahoe, and Apple Intelligence. It’s a great choice for a range of users. Available in 13‑ and 15‑inch sizes and four colors: Sky Blue, Midnight, Starlight, and Silver. Pre-orders start March 4. Available March 11.  

The new MacBook Air with M5 delivers incredible performance and even more capacity. With M5, MacBook Air powers through all tasks from productivity to creative and AI workloads. Now, with double the starting storage, Wi-Fi 7, Bluetooth 6, and a durable design, MacBook Air combines performance and portability.  

Incredible Performance With M5 for AI and More 

The M5 chip delivers impressive performance for everything from daily tasks to creative work. The MacBook Air with M5 features a 10‑core CPU, including the world’s fastest CPU core, for better responsiveness. It is up to 4 times faster on AI tasks than the MacBook Air with M4 and up to 9.5 times faster than the MacBook Air with M1, according to Apple’s performance benchmarks. With up to a 10‑core GPU and a neural accelerator in each core, users benefit from improved AI processing, making it a strong choice for AI to work from Apple Intelligence at home to running LLMs at work.  

The M5 chip includes improved shader cores and introduces a third-generation ray tracing engine, enabling faster gaming and 3D rendering than earlier MacBook models. It also features faster unified memory with 153 GB/s of bandwidth and an increase of 28% over the M4 model. Together, these enhancements provide more efficient multitasking and quicker app launches. In summary, MacBook Air with M5 offers better performance than previous models, including:  

  • Up to 6.9x faster AI video enhancement performance in Topaz Video compared to MacBook with M1 and up to 1.9x faster than MacBook with M4.  
  • 3D rendering with ray tracing in Blender is up to 6.5 times faster than on a MacBook Air with M1 and up to 1.5 times faster than on a MacBook Air with M4.  
  • Web browsing performance on the MacBook Air with M5 is up to 50% faster than on a PC laptop equipped with an Intel Core Ultra X7 processor, according to Apple’s tests. Additionally, more demanding tasks on the MacBook Air with M5 are reported to be up to twice as fast as on that specific PC laptop.  

Twice the starting storage with a faster SSD 

The MacBook Air with M5 now starts with 512GB of storage, which is twice as much as the previous model, and can be configured up to 4TB for the first time. This gives plenty of space for big projects and games. The new SSD is also twice as fast at reading and writing files, making it easier for creators to import large photo libraries and for students to run AI workloads on their devices.  

Great value for those upgrading to the world’s most popular laptop 

Upgrading from an older MacBook Air now offers key benefits, including enhanced performance, display, battery life, design, camera, audio, wireless connectivity, and expanded storage.  

  • A brilliant Liquid Retina display, the 13.6- or 15.3-inch screen has 500 nits of brightness and supports 1 billion colors, making everything look vivid and sharp with crisp text.  
  • Long battery life get up to 18 hours on a single charge, 6 hours more than an Intel‑based MacBook Air. Fast charging lets you work, create, or play all day without needing to plug in.  
  • Elegant design and colors, the 13-inch MacBook Air is easy to carry, while the 15-inch model gives you more screen space for multitasking. Both are thin, light, and silent and come in four colors: sky blue, midnight, starlight, and silver.  
  • Advanced Camera, Microphones, and Speakers. The 12MP Center Stage camera and Desk View help you look your best and make video calls more compelling. The 3-mic array improves voice clarity, and the sound system supports spatial audio and Dolby Atmos for a rich three-dimensional listening experience.  
  • Wi‑Fi 7 and Bluetooth 6  the new N1 wireless chip from Apple supports both, offering better performance and reliability.  
  • Easy connectivity. MacBook Air has two Thunderbolt ports for accessories and supports up to two external displays, which is great for professionals and students who need more workspace. Microsoft provides dedicated charging and extra security when plugged in.  

The Power Of MacOS Tahoe : 

MacOS brings the MacBook Air experience together with great features and built-in apps like Safari, Photos, Messages, and FaceTime, helping users get more done. With macOS Tahoe, the new liquid glass design lets you personalize your Mac with color options for folders, app icons, and widgets. Apple Intelligence adds powerful features, strong privacy, including live translation in Messages, smarter Reminders, and more advanced Shortcuts that can automate tasks like pulling information from a PDF and adding it to a spreadsheet. Continuity features include the Phone app on Mac, which lets you make and receive cellular calls from your nearby iPhone, and Live Activities, which appear in iPhone mirroring so you can respond right from your Mac. For video calls, the new edge light effect provides even lighting for your face in any condition.  

MacBook Air And The Environment 

The MacBook Air with M5 was designed with the environment in mind and helps Apple move closer to its goal of being carbon neutral by 2030. It uses 55% recycled materials, including 100% recycled aluminum for the enclosure and 100% recycled cobalt in the battery. Half of the electricity used in manufacturing comes from renewable sources such as wind and solar power. The MacBook Air is built to be durable and repairable, meeting Apple’s standards for energy efficiency and safer materials, because the packaging is made entirely from fiber and is easy to recycle. 

Source:  Apple introduces the new MacBook Air with M5 

By 2026, smart home ecosystems will advance beyond basic voice commands and scheduling. Amazon’s integration of advanced AI across home devices marks a shift toward ambient intelligence, where technology anticipates and fulfills user needs autonomously. The global deployment of Alexa Plus introduces generative AI capabilities, enabling users to interact naturally and benefit from more sophisticated, proactive automation.   

For tech professionals, this shift means smarter models are now built right into our home devices. Whether it is the new Echo Show 21 or the updated Fire TV, the aim is simple. This will make everyday control easier by creating a form that automatically responds to your needs.  

The Rise of Alexa Plus and the Generative Home 

Alexa Plus is central to this change. After leaving early access in early 2024, it reached almost 97% of Echo devices by mid-2026. Unlike the first Alexa, which used intent matching, responding only to commands that match expected phrases, Alexa Plus runs on a mix of large language models, computer programs trained to understand and generate human-like language, including Amazon’s Nova and Anthropic’s Claude.  

This advancement supports what engineers term ‘multi-turn reasoning,’ enabling AI to comprehend and respond to complex, multi-step interactions rather than isolated directives. Instead of issuing specific commands such as “Alexa, set the lights to 50%,” users may request, “Alexa, make the living room resemble a comfortable jazz club.” The AI interprets intent, assesses connected devices, adjusts audio and lighting accordingly, and proposes relevant playlists without predefined routines.  

Ambient Experience And Fire TV Evaluation 

Entertainment is where these smarter automations are being tested first. The 2026 TV OS update, now available for the Omni Mini LED and Fire TV Stick 4K Max, brings a 30% faster interface and works closely with Alexa Plus.  

One highlight is the expected ambient experience. The new Amazon Ember Artline A4K OLED TV with a matte screen uses AI to show artwork that fits your room’s style and lighting. Fire TV also now supports conversational search. You can ask, “Find that movie where the main character goes to Mars, but it turns out to be a dream,” and the system will search among several streaming services to find it.  

Proactive Security: Ring and Retinal Vision 

Artificial intelligence is also improving residential security systems. The 2026 Ring 4K cameras incorporate retinal vision technology, utilizing AI to evaluate images in a manner analogous to human vision. This innovation yields clearer visuals even under challenging lighting conditions, where traditional sensors are less effective. New features like Search Party on Ring cameras let neighbors join a temporary private network, enabling collaborative searching for a lost pet. The AI analyzes footage from multiple cameras for specific breeds and colors, then generates a heat map pinpointing the pet’s last location. Firewatch, available on compatible Ring and Echo devices, uses AI to detect visible smoke or flames in video feeds, providing early fire alerts ahead of standard heat sensors.cy.  

Omnisense And The Hardware Backbone 

To keep automation fast, Amazon now uses custom AZ-3 chips, special-purpose processors built by Amazon, and the Omnisense Sensor Platform, a system for detecting motion, presence, and distance, in its latest devices. Omnisense lets products like the Echo Show 11 sense not just movement but also presence and proximity.  

When an individual enters a room, the display automatically presents the morning briefing, and as the individual departs, it transitions to a minimalist clock interface to conserve energy. This on-device processing enables core smart home functions, such as switching off lights or securing doors, to operate 40% faster by eliminating reliance on cloud infrastructure. Adopting this local-first model also addresses privacy considerations by ensuring that sensitive interaction data remains within the physical residence.  

Matter, Thread, and Interoperability 

Smarter automation is only possible if devices can speak the same language. Amazon’s 2026 lineup doubles down on the Matter and Thread standards, acting as a universal translator for the home. The Echo Hub valve-mountable panel now serves as a multi-protocol bridge, letting users integrate third-party devices from Apple, Google, and Samsung into a single cohesive Alexa Plus routine.  

The capability to interconnect various devices is integral for predictive automation. If the system detects that blinds remain open or an oven is left on after the user departs, it will proactively inquire whether the user wishes to secure the home, rather than simply issuing a notification.  

Conclusion- The Invisible Concierge 

As we enter this new era, smart homes are increasingly seen as less like a bunch of gadgets and more like an active part of our lives. Soon, your walls might remember your routines, and your coffee could start brewing when sensors pick up the sound of you waking up. In this future, our homes will quietly organize our daily lives, adjusting light, temperature, and sound to fit our habits. Over time, the technology will fade into the background, leaving us with a space that genuinely understands us.  

To upgrade your automation capabilities from standard Alexa routines to Alexa Plus, request a personalized migration guide to facilitate seamless adoption of enhanced multi-device functionality. 

SourceAmazon Alexa Plus: Smart Home Upgrade Hits UK 

Takeaways 

  • We are adding new AI features to Ray-Ban Meta glasses, such as helping you remember your parking location by saving a voice reminder when you park, translating speech in real time as you interact with others, and answering questions about your surroundings by analyzing what you see through the glasses.  
  • We are expanding our partnerships with Spotify and Amazon Music. We are also introducing new collaborations with Audible and iHeart. These partnerships let you access more audio content through Ray-Ban Meta Glasses. This enhances your listening experiences while on the go.  

Since we launched our Ray-Ban Meta glasses, they’ve been so popular that we’ve had trouble keeping them in stock until recently. People have shared millions of moments with friends and family since we introduced them.  

Whether you are exploring a new city, at a sporting event, or looking to be more present in daily life, Ray-Ban Meta glasses are your ideal companion for hands-free exploration. With new AI features and expanded partnerships, they help you share perspectives and capture moments more effortlessly.  

Improved AI Features 

First, we are making it easier to have a conversation with Meta AI. Start with “Hey Meta” to ask your initial question, then ask follow-up questions without restating, “Hey Meta.” You also no longer need to say “look” to ask Meta AI what you are looking at.  

We are adding the ability for your glasses to help you remember things. Next time you fly somewhere, you don’t have to worry about forgetting where you parked at the airport. Your glasses can remember your spot in long-term parking. You can also use your voice to create a reminder to text your mom in three hours when you land safely.  

You can now ask Meta AI to record and send voice messages on WhatsApp and Messenger while staying present. This is especially handy when your hands are full, or you can’t easily reach your phone to write a text.  

We are adding video to Meta AI so you can get continuous, real-time help. If you are exploring a new city, you can ask Meta AI to tag along and ask about what landmarks you see as you walk or get ideas for what to see next, creating your own walking tour hands-free. If you are in the grocery store planning a meal, you can ask Meta AI to help you decide what to make based on what you see as you walk down the aisles. And if the sauce you are holding pairs well with the recipe, Meta Ray-Ban glasses can translate speech in real time. Whether you are talking to someone speaking English, French, or Italian, you’ll hear what they say in English through the glasses’ open-ear speakers. Not only is this great for traveling, but it should also help break down language barriers and bring people closer together. We plan to add support for more languages in the future to make this feature even more useful.  

Growing Partnerships to Make Glasses More Helpful and Fun 

We are partnering with Be My Eyes, a free app that connects blind and low-vision people with sighted volunteers so they can talk you through what’s in front of you. Thanks to glasses and POV video calling, the volunteer can easily see your point of view and tell you about your surroundings or give you real-time hands-free assistance with everyday tasks. For example, adjusting the thermostat or sorting and reading mail.  

In addition, we are advancing integrations with Spotify and Amazon Music. We are also adding new partnerships with Audible and iHeart. You can use your voice to search, discover, and play content while on the go. Ask to play by song, artist, album, or audiobook. You can also get more details about the current content by asking, “Hey Meta, what album is this?”  

We are releasing a limited-edition set of shiny transparent Wayfarer frames so you can show off the tech inside. This special edition highlights innovation via transparency and focuses on craftsmanship, design, and ingenuity. We are also bringing EssilorLuxottica’s new Ultra Transitions Gen S lens range to the Ray-Ban Meta collection, giving you more options to adjust quickly in all light conditions.

Source: Ray-Ban | Meta Glasses Are Getting New AI Features and More Partner Integrations 

Starting in March 2026, Samsung will enhance Galaxy AI in the Galaxy S26 series by emphasizing faster on-device processing and improved privacy through a hybrid AI system. By shifting more AI tasks onto the device, Samsung aims to provide users with instant personalized experiences while safeguarding their data.  

Faster on-device AI processing (edge AI) 

  • Reduced cloud reliance: the Galaxy S26 series (S26, S26+, and Ultra) uses an edge-fusion architecture to run complex tasks such as image creation, language processing, and real-time translation directly on the device’s neural processing unit (NPU), reducing dependence on remote servers.  
  • The S26 Ultra is equipped with the Snapdragon 8 Elite Gen 5 chip, delivering up to 100% greater NPU performance than earlier models, resulting in faster AI response times.  
  • Model compression, Samsung Research incorporates NOTA technology to optimize AI model efficiency, reducing its size by up to 90% to improve on-device performance.  

Stronger Privacy and Security 

  • Personal Data Engine (PDE) was introduced with the Galaxy S25. The PDE operates on the device to learn user habits and create personalized experiences without transmitting data off the phone.  
  • Knox Enhanced Encrypted Protection keeps a secure, dedicated space within the device’s storage, enabling an app to process sensitive AI data safely and keep it inaccessible to  unauthorized parties.  
  • User-controlled privacy. Users can configure settings to determine whether Galaxy AI data is processed on the device or in the cloud. They may also disable online processing entirely for maximum privacy.  
  • The Galaxy S26 Ultra features a hardware-level pixel adjustment capability that narrows the screen’s viewing angle, helping to keep sensitive information private from those nearby.  

Enhanced Agentic AI Features 

  • Now nudge & now brief, these context-aware agents can understand what is on the screen and present personalized suggestions and daily summaries.  
  • Upgraded Bixby now acts as an interactive device agent, helping users navigate settings and answer questions in natural language, all on the device.  
  • Users can choose Bixby, Gemini, or Perplexity as their agent. Bixby focuses on integration with Samsung devices. Gemini leverages advanced AI for conversational tasks, and Perplexity is known for providing grounded citations to enhance research reliability.  

Advancing Transparency and Choice With Galaxy AI 

Technology is evolving rapidly, becoming more intelligent. By the second, these progressions have brought Galaxy AI to life, unleashing new levels of productivity, creativity, and communication. But as mobile AI becomes more capable, it raises questions about privacy and control.  

Samsung addresses these concerns by building Galaxy AI with security features that protect user data and by using AI to enhance mobile security and privacy. While both are vital, prioritizing ethical data handling is essential.  

Honesty and choice guide our efforts. Galaxy’s simple privacy settings show what data is used in AI processing, how it’s handled, and how you can control it. These tools let you set your own rules and stay secure.  

Advanced Settings for Advanced AI 

This freedom applies to Galaxy AI as AI takes a larger role. People want more control over their data. Galaxy AI’s privacy features ensure you are informed and protected while using it.  

We support user control with AI tools that run on-device, keeping your data secure whether you use Live Translate, Interpreter, or Audio Eraser. These features give you a safe mobile experience on your device. They work with Galaxy AI’s privacy protections to increase your control over your data.  

Since launching Galaxy AI, our vision has been motivated by a commitment to openness and user choice. That’s why we chose a composite approach that combines on-device and cloud-based AI. This delivers seamless usability and lets users benefit from the full power of AI for complex tasks. Advanced features, such as generative editing, offer on-device capabilities and also use cloud-based AI as needed for processing-intensive edits. The Galaxy AI experience is created with your privacy in mind even those features that use remote servers. No matter which feature or setting you choose, your data is never stored long-term or used for AI training, whether it’s processed on-device or in the cloud. With advanced intelligent settings, managing your privacy is as simple as tapping a button. You can choose how your personal information is processed, including the option to disable online processing for AI features.  

Privacy is the foundation of Galaxy AI, and thanks to our growing list of on-device AI features and powerful settings options, so is the choice.  

User-Friendly Controls For Greater Visibility 

It’s important that privacy settings are simple and intuitive, whatever your mobile experience. Galaxy’s security and privacy dashboard gives you an interface to manage who can see your data and how it’s used. You can update app permissions and data-sharing controls and spot risky data using safety status icons. Permission usage shows which apps recently accessed your data. The unique level of visibility makes it easy to see how all Galaxy experiences are kept secure and tailored to your preferences.  

Auto-Blocker, a core privacy feature, secures your device without sacrificing usability. Message Guard scans for malware, blocks security threats, and stops unauthorized app installations, USB commands, updates, and zero-click attacks.  

For those wanting a stronger defense against today’s online threats, maximum restrictions offer an additional suite of device protections. These measures provide an extra layer of user control, letting you block 2G service and prevent data interception on unsafe networks. They also prevent automatic reconnection to certain Wi-Fi networks that may be less secure.  

With Samsung’s Knox protection and easy-to-understand privacy settings, you can decide how your data is handled, whether it’s shared or kept completely on the device. Going forward, Samsung will advance AI-powered security technologies to make privacy protections smarter, more adaptive, and more seamless. As AI evolves, Samsung remains committed to building secure experiences rooted in honesty and choice now and in the future. 

SourceYour Privacy, Secured: How Galaxy AI Empowers You to Take Control of Your Data 

Apple is developing a new accessibility feature for Mac that will offer a completely different way for users to operate their devices. The company is reportedly testing eye-control technology that lets users navigate macOS using eye movements instead of traditional input methods like a mouse, trackpad, or keyboard. The development reflects Apple’s continued investment in accessibility tools, which have become essential to its product ecosystem.  

The present state of personal computing includes accessibility features that have evolved from specialized tools. The current design of modern devices has established accessibility features as essential components, which provide advantages to all users, including those with specific physical restrictions. Apple is introducing eye-tracking technology to Mac computers to create user interfaces that will feel more natural and adaptable.  

A New Approach to Mac Interaction  

The eye-control feature being tested allows users to interact with on-screen elements via gaze detection. Users can select and activate items by focusing on icons, buttons, or menus, rather than using touch or clicks. The new navigation method brings a revolutionary change to macOS by enabling users with input device difficulties to navigate their systems more effectively. 

Eye-tracking technology has been around for many years, operating through dedicated hardware and specialized assistive devices. Apple plans to implement the feature in its software because users will not need any additional tools to use it. 

The feature enables users to open applications, scroll through content, and control system functions by using their eye movements if it becomes available to all users.  

Expanding Accessibility on macOS  

Apple has consistently positioned accessibility as a core part of its design philosophy. The system already allows users to control their devices via voice control, switch control, and AssistiveTouch.  

The introduction of eye control would build on this foundation, offering another layer of flexibility. For users with limited mobility, this technology will create a better way to access and operate Mac systems.  

At the same time, accessibility features need to be more accessible to all users. Tools that developers built to address specific user requirements now provide value to all users across different usage scenarios. Users who want to control their device without using their hands will find eye control technology beneficial because it works better than standard input methods.  

How the Technology Works  

Eye-tracking systems typically use cameras and sensors to track users’ eye movements and positions. The system uses gaze-tracking analysis to identify all areas of the screen the user is currently viewing.  

Apple intends to integrate this functionality into macOS through its implementation, enabling system operation based on user gaze input. The software would likely include calibration steps to ensure accuracy and responsiveness, which would adjust to different users throughout their interaction with the system.  

The challenge is to develop an experience that delivers both accurate results and dependable operation. The system needs to find a middle ground between tracking accuracy and stable performance, as small tracking errors can lead to incorrect system behaviour. Apple plans to leverage its hardware and software integration capabilities to advance this technology until it is suitable for everyday use.  

Potential Use Cases  

The development of eye control technology creates multiple potential application fields. The system enables users with physical disabilities to use computers through eye control, which serves as their primary interaction method.  

Eye-tracking technology helps users navigate professional environments by enabling them to navigate digital systems without using their hands. The solution is especially beneficial for occupations that require people to work on multiple tasks while keeping their hands free.  

The technology can connect with creative tools, gaming software, and immersive applications. Eye-tracking technology opens new interactive possibilities, enabling users to control software features and boost their engagement with their digital environment. The technology creates accessibility solutions, but its potential extends beyond current research into other fields as well.  

Privacy and Data Considerations  

The technology that tracks user behaviour requires organizations to treat user privacy as a crucial component of their operations. Eye-tracking systems collect data on where users are looking and how they interact with content.  

Apple has made product design decisions throughout its history that priorities privacy, and this feature will follow those same principles. The system can process data using on-device functions, reducing the need to send private data outside the system. Users need to control their data usage because this practice builds trust, which in turn drives system adoption.  

The Role of Accessibility in Next-Gen Computing  

The development of eye control technology shows how personal computers will progress into their upcoming development phase. The current systems possess better performance capabilities, which enable them to modify their operations according to different user input methods and user behaviour patterns.  

The current trend is toward the development of flexible systems that support diverse user requirements and multiple interaction methods, rather than strict interaction patterns. Mainstream technology development now depends on accessibility features, which drive the technological changes of contemporary devices.  

Apple plans to use eye-tracking technology in macOS to fulfil its mission of developing user-friendly yet powerful devices. The company has changed personal computing through the development of new technologies, which allow users to interact with devices in multiple ways.  

Challenges and Limitations  

Eye control technology has potential but faces multiple challenges that need to be addressed. The system needs better tracking accuracy, as even minor errors will reduce its usability. User performance is affected by environmental factors, including lighting conditions and user positioning.  

Users need time to learn how to use new interaction methods. Users with experience with traditional input devices will need time to learn to use the system via eye movements.  

The feature needs to integrate easily into current workflows to achieve widespread adoption. The product will succeed if it provides users with an easy yet dependable experience. The product will stay as a specialized tool if it does not meet this requirement.  

What Comes Next  

Apple tests eye control for Mac systems to research better methods of user interaction. The feature development shows that the company remains dedicated to making products accessible while developing innovative technologies.  

Future updates will enhance the technology by improving accuracy and adding additional functionality. Eye tracking will become a standard feature of the Mac experience as Apple develops advanced capabilities for its ecosystem.

Source: https://www.apple.com/newsroom