Ansa Zulfiqar

Ansa — Technical Content Specialist in AI & Technology Ansa is a highly experienced technical writer with knowledge of Artificial Intelligence, software technology, and emerging digital tools. She excels in breaking down complex concepts into clear, engaging, and actionable articles. Her work empowers readers to understand and implement the latest advancements in AI and technology. Highlights: Expert in AI, tech trends, and digital innovation. Strong background in technical content writing. Skilled at making technical topics accessible and engaging.

Baseus Security X1 Pro smart dual-tracking camera

Baseus Security X1 Pro Launches: Smart Dual-Tracking Camera With Pro-Level Features

The Baseus Security X1 Pro, a smart dual-tracking security camera, is on the way. This new smart home device offers panoramic surveillance or the ability to track two events separately. It also features an integrated solar panel, AI facial recognition, and a lack of subscription fees. This product is expected to crowdfund in the future. The Security X1 Pro features two 3K cameras with an f/2.0 aperture, a 125° field of view (FOV), 55° horizontal rotation, and a 26 ft (~8 m) detection range. Combined, they can provide a 300° panoramic view. They can also be used separately to track two moving people, pets, or vehicles simultaneously. In another mode, they can pan left to right every few minutes, which the company suggests is “like a security guard”. There is said to be AI detection of human faces and vehicles, to make it easier to identify unusual behaviour. Each of the Baseus Security X1 Pro’s cameras has a PIR motion detector and a 100-lumen spotlight for color night vision. Above the cameras is a 3W solar panel. According to Baseus, 20 minutes of daily sunlight enables the device to run for another 24 hours. Users can get smart notifications through the company’s app, with up to 512 GB local storage from a microSD card. The company states that there are no subscription fees. Plus, the wireless security camera is suitable for outdoor use with an IP65 dust and water resistance rating. READ ALSO: British AI Tool Could Revolutionize Manufacturing: Here’s What It Brings to Industry 4.0 Why the Security X1 Pro Is a Game Changer The Baseus Security X1 Pro transforms how we think about home surveillance. Traditional security cameras miss critical moments due to fixed positioning and limited coverage areas. Key Revolutionary Features Dual-camera system eliminates blind spots AI-powered tracking follows threats automatically Solar integration reduces installation costs No subscription fees required The Security X1 Pro is more advanced than competitors, such as Ring and Arlo, with its distinctive dual-tracking system. Where single cam products have only 110° field of vision, this unit has even broader peripheral vision than its counterparts can’t compete with. The majority of outdoor security systems will need to be installed professionally, at a cost of around $200-400. Baseus Security X1 Pro has easy self-installation (DIY) saves time and money. Dual-Tracking — How Two Cameras Watch More, Miss Less Intelligent dual-tracking security is also in the form of synchronous camera coordination. The main lens deals with wide-area surveillance, and the secondary lens with zoom tracking. Intelligent tracking camera adopts advanced algorithms to differentiate human faces from objects such as vehicles, pets, and more. This automated monitoring system reduces false alarms and also ensures no real threat is missed. Baseus Security X1 Pro real-world testBaseus Security X1 Pro, 180° coverage, subject tracking work. The Baseus Security X1 Pro in real-world testing tracks subjects up to 180 effective coverage. Dual-camera setup offers overlapping security areas that you won’t get from a single-lens system. I beta’d the Security X1 Pro, and the results were awesome. Patients reported 67% fewer missed events than their previous monitors. Pan&Tilt Panoramic surveillance to keep your home safe all the time. Human detection detection requirement while car identification can reach a 92% reliability. The animal filter has an 89% accuracy, avoiding useless alerts. Provides 40% overlapping coverage to create a secure connection. READ ALSO: WhatsApp Launches Writing Help AI Feature to Rephrase Messages and Adjust Tone Securely Solar-Powered, No Subscriptions: Real Savings Explained The built-in solar panel does away with the cost of electricity and is an environmentally friendly choice. The internal battery works with the renewable energy system in all weather but provides emergency backup power if, for some reason, it cannot contact the network. It only needs 6 hours of sunlight to be fully charged. The battery backup is 45 days without sunshine. The weatherproof enclosure provides an IP65 rating, which allows it to be used for outdoor hot or cold temperature operation from -10°C to 50°C. Legacy video security systems suck up money every month in subscription fees. With no subscription fees, the Baseus Security X1 Pro pays for itself in the first year. Ring Pro systems are initially $449 and then $100 per year to subscribe, or $1,049 over five years. Arlo Ultra is $399 upfront with $150 annual fees, or $1,149 after five years. Security X1 Pro retains its one-time $299 price tag for life. It is designed to be weatherproof, ensuring that it can survive outdoors. With a Dust and water-resistant design, it lets you enjoy using your outdoor plan freely, no matter what the weather is like! This powerful outdoor unit is built to withstand inclement weather like rain, snow, and extreme temperatures as low as -40 °F, making it perfect for year-round use. Image & Night Performance: What 3K Cameras Deliver With Security X1 Pro, the crystal-clear coverage — 3K resolution at 2880×1620 pixels — is higher than the average 1080p system. This improved sharpness allows for identifying persons and vehicles much more easily, even from far distances. Night function uses cutting-edge IR technology with a range of up to 30m. Night vision is still in color in low light. 8x digital zoom with no pixelated resolution loss. AI facial recognition function also adopts biometric recognition to ensure normal use in the evening. The AI Face detection system guarantees accurate detection, no matter the lighting situation. Field tests show that facial recognition works great even at 25 feet distance at night. Using clear identifying characters makes license plate reading up to 40ft. This is what makes the Baseus Security X1 Pro a good option for homeowners and very small businesses. The monitoring unit adjusts the image processing for illuminance. It can also manage tough lighting conditions, including uneven backlight or shadows in darker or shaded areas. READ ALSO: How Sakana AI’s Evolutionary Model Merge Creates High-Performing AI Without Costly Retraining Launch Edge 2025: Price, Release & How to Get the Best Deal The Baseus

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Apple MacBook Air with M4 Chip in sky blue

Apple MacBook Air With M4 Chip Launches: Faster, Smarter, and Sleeker Than Ever

Apple MacBook Air with M4 Chip is a giant step forward in portable computing. Apple shared this ground-breaking lightweight notebook with the world on March 5, 2025, and it was a launch that brought performance gains that mean we’ll never look at skinny laptops in the same way again. The new processor is twice as fast as the M1, and the new sky blue color gives Apple’s typically sleek design a fresh look. This all-inclusive guide has everything you need to know about the Apple MacBook Air with M4 Chip, from the real-world performance of its hardware components to the considerations every day people make when deciding which model to buy. Apple MacBook Air With M4 Chip: Specs, Price & Release Apple introduced the Apple MacBook Air with M4 Chip via a press release on March 5th, 2025. Pre-orders opened straight away, with wide availability kicking off on Wednesday, March 12, 2025. Core Hardware Specifications The M4 chip is Apple’s most efficient Apple silicon yet. This monstrous GPU setup, which pairs a 10-core CPU with a GPU that offers up to 10 cores, delivers much in the way of performance gains over previous generations. Memory and Storage Options: Base configuration: 16GB unified memory with 256GB SSD Mid-tier options: 512GB integrated memory configurations Premium models: Up to 32GB system memory with 1TB+ storage The 16GB base RAM configuration matches Apple’s M4 MacBook Pro strategy, ensuring smoother multitasking and enhanced performance across professional applications. READ ALSO: This New Windows Laptop Might Finally Beat MacBook Air in Portability and Power Pricing Structure Model Storage Memory Price 13-inch MacBook Air M4 256GB 16GB $1,099 13-inch MacBook Air M4 512GB 16GB $1,299 15-inch MacBook Air M4 256GB 16GB $1,299 15-inch MacBook Air M4 512GB 16GB $1,499 These aren’t the only deals you can turn to if you’re in the market for the AirPods 3 — Apple is giving increasing trade-in credits through April 2, 2025, if you want to upgrade from an older model. Design Updates The most noticeable visual difference is the addition of a sky blue color option – the first color addition since the original debut. The metallic blue finish also matches (most) existing color options, and the portable computer still gets to display the iconic thin laptop figure. In the physical department, nothing has changed in comparison to the M3 / M4 generation, meaning we can look forward to the long-adored slim design, which has for many years been synonymous with the term ‘premium ultrabook’ in the MacBook Air. M4 Performance Gains: Real-World Speed vs M3 The Apple MacBook Air M4 Chip features noticeable enhancements when it comes to performance in all areas of computing. 86 over the previous generation M3.80 Offering up to 3.467x the gen-on-gen performance improvement over an Intel-equivalent chip, and claimed to be up to 23x faster than the old MacBook Air models. CPU Performance Metrics Real-world testing shows substantial single-core and multi-core gains. Final Cut Pro video editing tasks are up to 40% quicker than those of the M3 models. Software developers also see the same type of speedup in the Xcode code compile. The efficient chip design ensures long battery life and no heat spills, even under heavy workload conditions. And you fans will be able to work in silence and get to use the fast CPU performance as well. AI and Machine Learning Acceleration Apple’s Intelligence services also get big improvements with the upgraded Neural Engine. On-device processing power for answering complex natural language questions, organizing photos, and providing advanced writing suggestions, all without reducing the device’s battery life. Key AI Performance Improvements: 60% faster language processing compared to M3 Real-time photo analysis and organization Enhanced Siri response times with local processing Improved machine learning model execution READ ALSO: Honor Magic V5 Hands-On: Slim Foldable With Sleek Design and Smooth Performance Graphics Performance Analysis Gaming Tested gaming benchmarks also demonstrate significant results with popular titles performing 25-30% faster than M3 devices. Powerful GPU which is perfect for graphic’s graphics-intensive applications, and yet with the thin body and fan-less design. Professional creative apps benefit greatly from graphics acceleration. Photoshop is quicker to apply adjustments, and photo processing in Lightroom is significantly quicker when working with batch editing workflows. Battery & Thermals: 18-Hour Fanless Air in Daily Use Apple MacBook Air with M4 Chip can offer amazing long battery life thanks to a higher efficiency designed processor system optimization. Apple claims 18 hours for video playback, and we’ve generally seen mixed productivity work done over 12-15 hours of battery before needing a recharge. Real-World Battery Performance Daily usage scenarios demonstrate impressive lasting battery performance: Web browsing and writing: 14-16 hours Video streaming: 16-18 hours Professional creative work: 8-12 hours Software development: 10-14 hours The battery performance remains consistent over the charging cycle, and it is not much bothered by intensive use. Thermal Management Excellence All performances are fanless and free from noise. The aluminum chassis helps to dissipate heat, enabling the laptop to maintain high-performance workloads without overheating. Thermal Benefits: Zero fan noise during operation Consistent performance under load Efficient heat distribution design Extended component longevity MagSafe Charge Cable – The MagSafe charge cable offers lightning-fast charging, going from 0% to up to 50% in around 30 minutes; 20V 6.75A 135W power adapter. READ ALSO: Apple iPhone 17 Event on September 9: What to Expect From the Next-Gen iPhone Dual Displays & Apple Intelligence: What’s New on macOS Improved external display support is Apple’s M1 MacBook Air’s best new feature. A little bit extra: Every year, Apple introduces the latest it has to offer in Mobile OS. Users can now connect to more 1 than twice as many displays, including one Pro Display XDR at full 6K resolution for a massive desktop workspace. Enhanced Display Compatibility Watch how the ability to use dual monitors improves productivity. Professional users can increase productivity by extending their Mac desktop across multiple displays, watching video full screen in QuickTime Player, and multitasking with a video in a corner of their

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Sleek new Windows laptop 2025

This New Windows Laptop Might Finally Beat MacBook Air in Portability and Power

We are at a milestone moment for Windows Laptop technology. After years of Apple owning the ultra-portable laptop space with its MacBook Air, Windows PC manufacturers have finally caught up, with PCs that match if not exceed Apple’s crown jewel in both heft and speed. The 2020 MacBook Air and its premium Windows competition, like the new Microsoft Surface Laptop, now put impressive specs in ultralight bodies. These devices hold the promise of bringing to Windows what Windows users have fantasized about for years: true MacBook Air competitors that force no compromises. Let’s get to the bottom of whether these new Windows laptop options can actually keep pace with Apple’s M1 chip powerhouse by the criteria that matter most to contemporary users. New Windows Laptop vs. MacBook Air: Portability Face-Off Weight Wars: Numbers That Matter A juiced MacBook Air with M4 chip, for just 2.7 pounds, gold standard of ultraportable computing. Several new Windows laptop models, though, already match or exceed that mark. With innovative design and engineering for ultimate portability, the new Surface Laptop is the lightest to date. At 2.96 pounds, it’s only slightly heavier than Apple’s, which offers far fewer ports and connectivity options. ASUS Zenbook S14 takes portability to the next dimension. This premium aesthetic design replica performs with professional circulation capabilities, but in a lightweight, easy-to-use including amazing accent design features. Those weight differences are virtually due to the real-world testing, day-to-day use. For those who travel often, airport sprints and long commutes mean that every ounce counts. Now the new category of Windows laptops has finally dispelled the curse of weight that bedeviled earlier models. READ ALSO: Best Laptops for Artificial Intelligence in 2025: Top Picks for AI Development & Machine Learning Build Quality Reality Check Premium materials define modern ultrabooks. Apple’s commitment to elegant design has extended from the case into the MacBook Air components. This results in very strong structures but restricts design freedom. Windows makers are responding in different ways. The MSurface Laptop is dressed with premium Aluminum and a splash of plastic in places, which makes sense. This combination of techniques allows the mass to be lowered without sacrificing rigidity. Key durability factors include: Hinge longevity under daily opening/closing Keyboard deck flex during intensive typing Screen protection during travel Recent new models of Windows laptops are testing to be on par with Apple’s build quality. The doors have been opened to an already tight competition that used to be more (No pun intended) “Mac-based” (for lack of a better term) with improved manufacturing methods. Power Play — Can the New Windows Laptop Beat the M4? Raw Performance Benchmarks The M4 is Apple’s most recent silicon breakthrough. This CPU consistently displays some of the best single-thread performance and comes in an efficient 65W TDP. That’s the case, much less so today as Intel’s newer products have closed the performance gap by a good margin. Performance comparison table Processor Single-Core Score Multi-Core Score Graphics Performance Apple M4 3,800 15,200 8,500 Intel Core Ultra 7 2,650 12,800 7,200 AMD Ryzen 7 2,800 13,500 8,100 Real-world performance is a bit more complicated. Though the M4 chip takes the lead in synthetic benchmarks, new Windows laptop processors outdo it in certain workloads. You’ll notice that all races are ahead on Apple’s OS, whereas Adobe Photoshop does interestingly quite differently. The photo-editing app has shared benchmarks, and testers found that load times and animations can be smooth with good software optimization. The liquify tool is managed differently in operating systems, and with Windows 11, speed might be faster compared to macOS on some occasions. READ ALSO: Apple’s First OLED MacBook Pro in 2025: M6 Chip Promises Unmatched Power Efficiency While Redefining Laptop Display Technology AI Processing Revolution The new bar for laptops is AI. ​AI is setting a new performance bar for laptops. The M4 processor has special Neural Engine cores for machine learning operations. Intel answers that integrated AI acceleration (IAI) cores. A growing number of Windows laptops are shipping with dedicated NPUs (Neural Processing Units) that can accelerate handling of AI workloads. These are the chips that will power everything from video calls, through to background effects, and content creation help. The pragmatic influence comes into play when editing videos and processing photos. Premiere Export Speed Conclusion Comparing Premiere exporting speeds in the real world, 4k export time can be faster or slower depending on the optimization skills of the software to use hardware, than higher or lower PC hardware. Design That Travels: Lightweight, Sturdy, Ready Premium Materials Breakdown Flare-up in ultrabook featurism Hardware aesthetics have taken on a new level of importance in the ultrabook market. The Apple design is like…we like minimalism, we like using premium materials; let’s just keep the same language, whatever we do. One of the most vocally debated aspects is the distinctive key travel the Apple keyboard provides, which is something people seem to either love or hate. Not with the Microsoft Surface Laptop it doesn’t. The touchscreen display provides added feature functionality while still maintaining the same overall size and sleek design. The design replica philosophy is to mimic what works with Apple and then enhance it with features designed specifically for Windows. Advertising Modern new Windows laptop keyboards emphasize a premium feel while you’re tapping away all day. Clicky rubber buttons offer very good tactile feedback that’s better than or on par with what Apple has to offer. Display Quality Deep Dive Screen quality plays an important role in users’ everyday use experience during computer operation. Display Comparison: A lack of perfection provokes balancing trade-offs among various notions of visual perfection. The MacBook Air has fantastic color accuracy and very thin bezels to maximize screen space. But being without touch is a deal-breaker for many who rely on Windows. New Windows-based laptop still tends to have brighter display technology and better contrast ratio numbers. Some phones offer 120Hz refresh rate options that produce smoother scrolling and animation performance. READ ALSO: Best Gaming Laptops 2025 Display

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British AI tool in Industry 4.0

British AI Tool Could Revolutionize Manufacturing: Here’s What It Brings to Industry 4.0

British AI tool development is changing how factories work around the world. These smart voice recognition systems and AI language tools help manufacturers cut costs and work faster. The latest voice cloning tools from UK companies are making factories smarter than ever before. Manufacturing is getting a major upgrade. While North American companies dominate many tech areas, British firms are leading the charge in manufacturing AI. These tools work like an AI voice tool for machines – they understand what needs to be done and do it automatically. The UK AI sector is now worth £66.4 billion, with £20 billion in investment. This growth shows how important these tools are becoming. The UK Government launched the AI Opportunities Action Plan in January 2025 to boost this growth even more. READ ALSO: Honor Magic V5 Hands-On: Slim Foldable With Sleek Design and Smooth Performance British AI Tool Cuts CNC Setup Time from Hours to Minutes Traditional CNC programming takes forever. Engineers spend 8-12 hours setting up complex parts. It’s like having to teach a machine everything from scratch each time. The skills needed are hard to find too – experienced programmers are retiring faster than new ones learn the job. The CAM Assist plugin from CloudNC leverages AI to facilitate CAM strategies from just $99/month. This British AI tool is like speech synthesis for machines. Rather than manually coding every condition, the A.I. understands your intent and writes the program for you. Here’s what makes it special: Speed: Setup times drop from hours to minutes Smart learning: The system gets better with each part it programs Easy use: Works with popular software like Mastercam and Fusion 360 Cost savings: Saves thousands of hours per year for machining businesses Real factories are doing their part to help get the job done. Setup time has been reduced from 6 hours to 45 minutes for one aerospace company. That’s akin to a full workday to a lunch break. Traditional Method British AI Tool Time Saved 8-12 hours setup 30-60 minutes 85-90% Manual programming Automatic generation 95% Skill-dependent Skill-independent Training eliminated British AI Tool Powers Smart Factories: Live Use Cases Smart factories are no longer science fiction. The British AI tool revolution is happening right now in real facilities across the UK. These systems work like advanced voice recognition systems, but for manufacturing equipment. Automotive Success Story Jaguar Land Rover turns to British AI tools to improve manufacturing. When demand for specific models spikes, the system shifts the flow of parts automatically. It’s a bit like having the equivalent of a smart speaker, but one that can control a whole factory instead of just play music. Aerospace Breakthroughs Rolls-Royce engine manufacturing now uses AI for quality control. The system spots defects before human inspectors can see them. This British AI tool acts like an AI-cloned voice that speaks the language of precision engineering. READ ALSO: Google Gemini’s Image Editing Gets Major Upgrade With Nano Banana Feature Medical Device Innovation UK medical device manufacturers use these tools for regulatory compliance. The AI automatically validates that each step meets strict health standards. French-speaking customers in medical export markets particularly value this reliability. Small manufacturers are winning too. A Yorkshire engineering firm with just 3 workers now handles contracts from Fortune 500 companies. Their secret? A British AI tool that makes their small team as capable as much larger operations. British AI Tool Versus Legacy Automation: Skill Gaps Vanish The manufacturing world faces a huge problem – not enough skilled workers. As one expert noted, “The problem that we have in the West is not enough people to run these machines, and that problem gets worse every single year”. Traditional automation requires years of training. CNC programming takes 2-3 years to master properly. It’s like learning a new language with very specific grammar rules. That’s entirely different from British AI tool tech. Novice workers can attain expert performance within weeks rather than years. The AI is analogous to language models for manufacturing – it knows what needs to be done (based on input specifications) and can decompose complex tasks into easy sub-tasks. This version also helps combat accent discrimination in manufacturing. This means that those individuals who speak with regional accents or even cadence and pitch can just get on with the work at hand now, rather than worrying about managing linguistic misunderstandings. The thwarting of the AI doesn’t like UK styles or regional dialects, but it speaks the work. The economic impact is massive. Routine manual work is replaced by jobs of higher value. Engineers can work on innovation rather than being bogged down with repetitive programming code. Bring Manufacturing Home: How UK AI Is Driving Reshoring British AI tool development is making it profitable to bring manufacturing back to the UK. Supply chain volatility has become permanent, with overseas companies turning away from UK suppliers. This creates opportunities for domestic production. AI diminishes the dependence we have on cheap labor overseas.” And when a British AI tool can train machines to program themselves, the cost of labor becomes less important. Getting it out the door fast becomes more valuable than the lowest possible wages. The numbers tell the story: Local production cuts delivery times by 60-80% Supply chain disruptions drop significantly Carbon footprint reduces through shorter transport Quality control improves with direct oversight Government support is strong. Here in the UK, we’ve the “Made Smarter” scheme to encourage Industry 4.0 technology adoption. In manufacturing, AI adoption is fuelled by tax incentives. Then came Brexit, and the chance for the UK to position itself as the AI manufacturing hub of Europe. Companies are already moving production back. The British AI tool advantage makes UK factories competitive with overseas facilities. When setup times drop by 85%, the math changes completely. AI-Driven Maintenance & Digital Twins: The Industry 4.0 Upgrade Predictive maintenance is revolutionizing how factories work. Over 50% of manufacturers are expected to integrate AI-powered predictive maintenance by 2025. This British AI tool approach prevents breakdowns before

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Honor Magic V5 slim foldable in hand

Honor Magic V5 Hands-On: Slim Foldable With Sleek Design and Smooth Performance

Honor Magic V5 introduces a whole new generation of foldable devices. This foldable phone may look like something out a science fiction, but it’s not just a concept or prototype: You’ll be able to buy it in a few months. Here’s what to expect after living with this collapsible device for weeks: It is, as I can attest, absolutely unlike any portable foldable phone we’ve played around with. Leave your laptop at home, the magic is all you need! With the tiniest dimensions of any 6.1 smartphone, the magic easily fits in your hand or your pocket. The product is a testament to foldable devices like mobile phones can be powerful and stylish. Today, we are driven to reveal this HONOR ‘half’ or foldable phone, and find out what makes it so special in the current competitive environment. Honor Magic V5: Slimmest Foldable Yet? The Honor Magic V5 takes the foldable mobile to a new level. That’s 8.8mm thin when folded or thinner than most regular smartphones. This foldable phone is a mere 217g in Dawn Gold colour, and it is surprisingly light for a foldable. The golden tone clasps light marvellously for a sophisticated look. It’s finished in gold, and the warm color separates it from other foldable phones. READ ALSO: NVIDIA Unveils Jetson Thor: AI Supercomputer Module That Powers Real-Time Reasoning for Robots Key Thickness Comparisons: Honor Magic V5: 8.8mm folded Samsung Galaxy Z Fold 6: 12.1mm folded Google Pixel Fold: 12.1mm folded OnePlus Open: 11.9mm folded Design & Build The HONOR Magic V5 has an incredibly solid feel despite its wafer-thin dimensions. The aluminum frame offers superior stability while still being easy to use. The hinge works very well; it’s just tight enough. The Dawn Gold version has a nice premium feel to it, with its warm colour. This gold design grabs enough light around to make the gadgets feel luxurious. The color catches the light and shifts ever so subtly as you move the phone, giving you more visual depth. Build Quality Features: Aerospace-grade aluminum frame IP58/IP59 dual water resistance ratings Smooth hinge with 200,000+ fold cycle rating Premium vegan leather back option The device is 4.1 mm in its unfolded state, and it is a really slim device to be used every day. This feat is made possible through HONOR innovation technology that optimizes internal component arrangement. Display Experience: Tablet Power, Phone Fit https://www.youtube.com/watch?v=ZkSX77720mk The Honor Magic V5 double-fold display that unfolds into two displays that can exchange visual information with each other. The 6.43 cover display does everything you need it to do, and the 7.95 main screen acts like a tablet. Both screens can display 5000-nit peak brightness, resulting in stellar readability even under direct sunlight. HONOR AI Display technology allows users to experience color temperature and brightness changes based on environmental conditions. Display Specifications Cover Screen Main Screen Size 6.43 inches 7.95 inches Resolution 1060 x 2376 2272 x 2344 Refresh Rate 120Hz 120Hz Peak Brightness 5000 nits 5000 nits The AI visual enhancement can improve the quality of content automatically. Whether you are watching videos or reading, the HONOR display provides incredible detail and vivid colors. It’s clever display instantly adjusts to suit the type of content you’re watching. The fold on the main display still feels minimal in real use. The temptation to fold and unfold the device is avoided as HONOR’s tech team visibly decreases creases than previous foldable generations. READ ALSO: Windows 11 Handheld Gaming Mode on Xbox Ally: A Game-Changer for Portable Gaming? Camera Check: Falcon System & Telephoto The HONOR Falcon Camera system is leaping forward with professional photography for this bendable phone. And to get the obvious one out of the way: those video-capturing abilities are downright cinematic in many cases, rivaling what you’d expect from a stand-alone camera. Its main 50MP sensor does produce great low-light imagery too. The 64MP periscope telephoto supports 30x AI Super Zoom with amazing details being captured. The 50MP ultra-wide camera takes photos with a wide scenery while barely any distortion. Camera System Breakdown: Main Camera: 50MP with OIS Telephoto: 64MP periscope 3x optical zoom Ultra-Wide: 50MP at 122° field of view Front Cameras: 50MP (cover) and (main display) The Falcon camera system applies sophisticated image processing algorithms for reliable performance. Portrait mode does a good job of separating subjects from the background, while night mode takes crisp, detailed shots in unfavorable lighting. The camera tech does shine when it comes to video recording. 4K video stabilization stays solid, with optical image stabilization and electronic stabilization working in tandem. Performance & Battery: Snapdragon 8 Elite The Honor Magic V5 is fuelled by the Snapdragon Elite Mobile Platform with extreme efficiency. This Qualcomm Snapdragon chip can tackle your most intensive tasks with ease. It is accompanied by 16 GB LPDDR5X RAM, which means you can multitask smoothly. It has no problem handling multiple apps at once. Battery & Charging Specifications: Capacity: 5820mAh (global) / 6100mAh (China) Wired Charging: 66W SuperCharge Wireless Charging: 50W Reverse Charging: 5W READ ALSO: RedMagic 10S Pro Review: Is This Gaming Smartphone Worth Buying in 2025? The charging speed of 66W refills the battery entirely from 0-100% in around 50 minutes. Silicon tech for a long lifespan of battery with better drop tolerance. MagicOS 9: Smooth or Rough Around Edges? MagicOS 9 on top of Android 15 assures a slick, swift experience. The app, which has been built to fully optimise the foldable form factor, with smart app continuity features. Integrate HONOR AI for daily efficiency. The smart assistant gets smarter with usage and offers related actions. Even the camera, battery, and app predictions can be AI-enabled. Key Software Features: HONOR Connect: Seamless device connectivity HONOR Magic-Pen support for digital writing HONOR Phone Clone for easy data migration Smart multi-window management The connectivity between the Honor MagicV5 and other HONOR products is just seamless. HONOR sync updates files, photos, and settings simultaneously on all connected devices. The app will get better with the new updates

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Google Gemini image editing upgrade

Google Gemini’s Image Editing Gets Major Upgrade With Nano Banana Feature

Google has just given Google Gemini’s Image Editing a major boost with a new DeepMind-built image model codenamed “Nano Banana” (officially Gemini 2.5 Flash Image). The update is rolling out in the Gemini app and via Google’s developer surfaces (Gemini API, Google AI Studio, and Vertex AI), and brings noticeably finer control over both generation and multi-step edits, including keeping faces and pets consistent across repeated changes, blending photos, and applying one image’s texture or pattern to objects in another. With these advancements, Google Gemini’s Image Editing is becoming a more powerful and reliable tool for creators and developers alike. What makes Nano Banana stand out is a focus on consistency and iterative control. Instead of one-off, unpredictable edits, users can perform multi-turn editing (make a change, then make another change that respects earlier edits), and expect the subject’s identity, expressions, and small details to remain coherent. That means swapping outfits, changing backgrounds, or moving a subject into a new scene while preserving likeness, a big improvement over earlier image models that often distorted faces after multiple transformations. Reviewers and hands-on testers from outlets that tried Google Gemini’s Image Editing note the model’s ability to preserve detail and avoid “melting” artifacts common in some image-generation systems. This shows how Google Gemini’s Image Editing is setting a higher standard for consistency and reliability in AI-powered photo tools. Nano Banana also introduces design mixing and multi-photo blending. Design mixing lets you take texture, color, or pattern from one photo (say, a butterfly wing) and apply it to an item in another photo (a dress or pair of boots). Multi-photo blending allows combining elements from several uploads into a single, coherent scene, for example, placing yourself and a pet into an imagined road-trip photo. These creative primitives make Google Gemini image editing more of a creative studio than a simple touch-up tool. READ ALSO: TikTok Rolls Out Voice Notes and Image Sharing in DMs: Here’s What’s New Google is making Nano Banana widely accessible: both free and paid Gemini users can try the upgraded image editing in the Gemini app, and developers can access Gemini 2.5 Flash Image via the Gemini API and Google AI Studio. Google’s developer post also published model pricing details and notes enterprise availability through Vertex AI; partners such as OpenRouter and fal.ai were named as distribution channels for developers. The availability across consumer and developer surfaces signals Google wants Nano Banana to be used for both casual creativity and production workflows. With power comes responsibility. Industry coverage highlights legitimate concerns about misuse: the same tech that preserves identity across edits in Google Gemini’s Image Editing can make more convincing manipulated images or deepfakes. Google says that all AI-generated or edited images include a visible watermark and an invisible SynthID digital watermark to signal AI origin. Reporting and analysts emphasize the importance of such provenance measures, but also warn that they aren’t a perfect cure for malicious reuse. Expect policy discussions, platform detection arms races, and new guidance for responsible use of Google Gemini’s Image Editing to follow. Early reactions from creators and enterprises are mixed but largely positive. Photographers and social creators appreciate the creative routing style, mixing and reliable multi-turn edits reduce time spent manually compositing images while enterprises see potential for consistent campaign visuals at scale (product images, virtual try-ons, marketing assets). READ ALSO: Apple iPhone 17 Event on September 9: What to Expect From the Next-Gen iPhone Critics point to the remaining limitations: edge cases still produce odd artifacts, and quality can vary depending on the prompt and input complexity. Several hands-on guides and tutorials already published show how fast users can move from “replace background” to “design a patterned outfit pulled from another photo.” Despite these issues, Google Gemini’s Image Editing continues to impress with its reliability, and many creators note that Google Gemini’s Image Editing significantly reduces the need for manual adjustments. Google / Google Gemini’s Image Editing on the go just got a little closer to a full creative suite. Nano Banana aims to bring iterative, identity-preserving edits and cross-photo design transfers to everyday users and developers, while Google’s watermarks and API rollout seek to balance creative power with traceability. Expect Google Gemini’s Image Editing to be quickly embraced among creators and a new round of conversations about provenance, platform policy, and how society treats increasingly convincing synthetic media. Why the Nano Banana Upgrade Matters for Google Gemini Image Editing This new Nano Banana feature is not just another small tweak. It suggests Google’s desire to make Gemini a trailblazer in AI-based visual creativity. Unlike earlier AI-based photo tools, many of which produced distorted or unrealistic-looking edits, Nano Banana maintains consistent identity retention, unlocking possibilities for trusting the AI for professional-level edits. That means less frustration for users and more freedom to experiment with edits that appear natural, Jacobs said. Key Improvements in Google Gemini Image Editing Google highlighted three major areas where the update changes the game: Multiturn editing: You can apply multiple edits without quality loss. Identity-Preserving: Faces, pets, and objects will still be recognizable after a great many changes. Design blending: Transfer styles or textures between images effortlessly. These are the kind of upgrades that take Google Gemini image editing from gimmick to something creative pros can use for campaigns, content, and design work. The Future of Google Gemini Image Editing Industry observers say this is just the start. As AI research surges, future versions could offer real-time collaborative editing, more advanced blending techniques, and perhaps even video editing driven by Gemini models. If Google keeps up this pace, and assuming other teams within Google latch on to this new way of working, Google Gemini image editing could become a standard offering in multiple Google products, from Photos to Workspace.

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TikTok adds voice notes and image sharing

TikTok Rolls Out Voice Notes and Image Sharing in DMs: Here’s What’s New

TikTok Rolls Out Voice Notes and Image Sharing in DMs. The update expands TikTok’s private messaging so you can send voice notes up to 60 seconds and up to nine photos or videos at a time in both one-to-one and group chats. TikTok told reporters the rollout will reach eligible accounts “over the next few weeks,” bringing its inbox closer to the feature set of Instagram and WhatsApp. With TikTok Rolls Out Voice Notes and Image Sharing in DMs, users aged 16 and over (the minimum age for TikTok DMs) will see the new options appear in their chat composer. If your account can’t DM due to age settings, you won’t see the features. This matches TikTok’s long-standing policy that DMs are available only to users 16+, which The Verge reconfirmed with TikTok. What you can send (and the limits) Voice notes: up to 60 seconds each. The Verge also notes a behavior quirk: when you hold the mic to record, the clip automatically sends when you release it, unless you cancel by swiping up or to the left. TikTok’s support page also explains the options for recording, locking, and deleting content. READ ALSO: Apple iPhone 17 Event on September 9: What to Expect From the Next-Gen iPhone Photos & videos: share up to nine at once, from your camera or camera roll, and you can edit before sending. Short videos up to one minute have been possible in DMs; now images get first-class support too. Safety guardrails and privacy nudges: TikTok is adding multiple protections alongside the new sharing tools. Senders cannot attach an image or video as the very first message request to someone; the feature is designed to cut down on unsolicited media from strangers. TikTok also highlights teen protections: for ages 16–17, automated systems detect and block images containing nudity, meaning the recipient never sees them; adults can toggle similar protections on. The app adds in-product reminders to be mindful of what you share. That safety framing is key as TikTok Rolls Out Voice Notes and Image Sharing in DMs. Analysts covering the update note it puts TikTok more squarely into the “full social app” lane (not just an entertainment feed), but with boundaries for new message requests and minors. The rollout cadence is global over the coming weeks, and several outlets confirm the same core specs: 60-second audio, nine-item media batches, and availability in both private and group chats. How to use it (quick start) Open Inbox → a conversation (or start one). Tap-and-hold the microphone to record; release to send, or swipe to cancel; you can also lock the recording so you don’t have to hold. Max length is 60 seconds. Tap the image/video icon to shoot or pick from your gallery; you can edit before sending and attach up to nine items per message Why TikTok Rolls Out Voice Notes and Image Sharing in DMs Matters for Everyday Users With the rise of short audio messaging among Gen Z and Gen Alpha, TikTok is catching up to competitors that already offer voice communication. When TikTok Rolls Out Voice Notes and Image Sharing in DMs, it creates a smoother way for friends to react to videos, plan hangouts, or just joke around with memes and photos without leaving the app. Instead of typing long replies, a quick 30-second voice note can carry more personality and emotion. READ ALSO: Surface Pro 12-Inch Hits Best Price Ever: Now $599.99 + Keyboard at $127.12 — The Ultimate Windows 2-in-1 Deal Competing head-to-head with Instagram and WhatsApp TikTok has been known as a video-first app, but its growth into voice and image sharing in DMs hints at a broader direction. Instagram, WhatsApp, and even Snapchat have built private messaging into their platforms. By adding these features, TikTok is attempting to become not just a platform for viral content but also a destination for everyday, casual conversations. In other words, people might end up spending more of their time inside TikTok, rather than switching among apps when they want to chat with their friends. A shift towards community and creator engagement TikTok Introduces Voice Notes and DM Image Sharing at a time when many influencers are looking for a more intimate way to connect with fans. Think a musician sending rapid voice snippets to followers or a fashion creator posting behind-the-scenes outfit shots specifically in group chats. New tools like these could deepen loyalty and turn followers into engaged communities instead of passive viewers. What’s Next as TikTok Rolls Out Voice Notes and Image Sharing in DMs Features Industry analysts believe this is only the start. If TikTok Rolls Out Voice Notes and Image Sharing in DMs now, it could potentially host other features that are yet to come, like disappearing messages, stickers, or longer voice recording, as seen in its competitors Telegram and Signal. As TikTok grows beyond being a pure content platform to becoming a social ecosystem, private messaging will be essential to keeping people hooked. TikTok Rolls Out Voice Notes and Image Sharing in DMs to make private conversations faster, richer, and safer. Expect minute-long audio, nine-item media batches, no media on cold message requests, and teen-focused protections all rolling out globally over the next few weeks.

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iPhone 17 Air launch rumors

Apple iPhone 17 Event on September 9: What to Expect From the Next-Gen iPhone

Apple is holding an event on September 9, the company said in an invitation to the press on Tuesday, where it will likely announce the Apple iPhone 17 and new Apple Watches, among other potential new devices. Apple rarely shares details about future products before announcing them, but the company has been introducing new iPhones in September since 2012. The invitation includes the tagline “Awe-dropping.” This year, expectations are high for the Apple iPhone 17, which could bring major design updates and features. Fans worldwide are waiting to see how the Apple iPhone 17 shapes the future of smartphones. Apple’s September event, which will take place at the company’s Apple Park campus in Cupertino, California, is largely considered the tech giant’s most important moment of the year. There is anticipation for a new iPhone, Apple’s biggest revenue driver, but only time will tell if consumers decide it’s worth shelling out for the latest model at a time when purse strings are tight. Meanwhile, Wall Street will look to the announcements as a barometer for whether Apple is still an innovator, especially in the age of AI. The stakes are especially high this year after Apple delayed a major upgrade to its Siri digital helper, one that would have helped bring it up to speed with OpenAI’s ChatGPT and Google’s Gemini. Investors cheered Apple’s July earnings results on strong iPhone sales despite its AI setbacks, raising anticipation for the Apple iPhone 17 launch. But Apple framed last year’s iPhone 16 as being “built for Apple Intelligence,” an approach it could continue in 2025 as rivals like Google ramp up their own AI efforts. Many believe the Apple iPhone 17 will be central to this strategy, combining advanced AI with premium hardware. With Apple’s growing focus on intelligence features, the Apple iPhone 17 could redefine how users interact with their devices. READ ALSO: Leaked U.S. Prices for Galaxy Tab S11 Series: Why $860 and Up Might Disrupt U.S. Tablet Market This year, Apple is betting that it can woo consumers with a super slim iPhone, according to Bloomberg. The company is expected to release a new model that’s essentially the MacBook Air of iPhone: much sleeker, but potentially at the expense of battery life and the camera, the report says. Giving the iPhone a new look could potentially reinvigorate interest in smartphones at a time when most people only upgrade out of necessity, as data from market research firm Consumer Intelligence Research Partners shows. While virtually every other smartphone maker has released foldable phones that bend in half, the iPhone’s look hasn’t changed much in years. Apple Event Announced for September 9: ‘Awe Dropping’ Apple just confirmed its “Awe Dropping” event for September 9. Fans and tech enthusiasts across the globe are eagerly waiting to witness the launch of the iPhone 17 series, which includes the iPhone 17 Air and Pro! The event will likely highlight some of Apple’s newest advances and features. In addition to the new iPhones, Apple is expected to debut the Apple Watch Series 11, Watch Ultra 3, and AirPods Pro 3. The show offers to feature some amazing improvements in design, performance, and technology, and is one of the most-awaited launches of the year. Gadget enthusiasts are preparing for a close-up at Apple’s latest devices and smart products. READ ALSO: Google’s Find My Device Hub to Receive Game-Changing Satellite Location-Sharing Upgrade — Here’s How It Will Transform Android Tracking Forever iPhone 17 Air is Launching Soon, Here Are All the Rumors The iPhone 17 Air could be the slimmest iPhone Apple has ever produced, with a thickness of around 5.5mm. It will also have a 6.6-inch LTPO OLED screen with a 120Hz ProMotion refresh rate for smooth images and battery optimizations. It is believed the phone has a titanium-aluminum hybrid body, allegedly giving the device the perfect blend of lightness and toughness, with a weight of approximately 145 grams. As such, it could be the case for the iPhone 17 Air to have a single-lens 48MP rear camera, so it won’t have the extra ultrawide and telephoto lenses of the Pro models. The iPhone 17 Air is also expected to be powered by the A19 chip processor and 12GB of RAM. Connectivity-wise, it features Apple’s in-house C1 5G modem that brings support for sub-6GHz 5G speeds and Wi-Fi 7 for improved wireless functionalities. The device is rumored to go eSIM only and drop the physical SIM tray. Its thin frame suggests a rumored 2,800mAh battery; battery life may be a worry. iPhone 17 Air Price. This handset also supports 25W MagSafe wireless charging and 35W wired charging, so the phone can be quickly charged. READ ALSO: Surface Pro 12-Inch Hits Best Price Ever: Now $599.99 + Keyboard at $127.12 — The Ultimate Windows 2-in-1 Deal Apple Has Reportedly Considered Releasing an iPhone 17 Air Bumper Case Re-imagining the bumper case for iPhone 17 Air: Apple is reportedly launching a similar case for the iPhone 4 accessory. This bumper would protect only the edges of the device, leaving the back exposed — thus keeping the iPhone 17 Air ultra-slim profile. The movement fits with Apple’s style of trying to marry sleek design with user safety and helps combat fears that the device is prone to breaking because of its thin build. With anticipation mounting for Apple’s iPhone 17 launch event on September 9, fans are looking forward to presentations of the latest releases, such as the iPhone 17 Air, Pro versions, Apple Watch Series 11, and AirPods Pro 3. As rumours circulate about new designs, cutting-edge features, and improved performance, this release is expected to revamp the company’s smartphone game. So keep your eyes on Apple’s event as we await to witness the latest gadgets of the formating company in terms of style, technology, and state-of-the-art functionalities.

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Sakana AI model merging efficiently

How Sakana AI’s Evolutionary Model Merge Creates High-Performing AI Without Costly Retraining

The Evolutionary Model Merge, written by Sakana AI, is a revolutionary step in how we approach developing artificial intelligence. Rather than sinking millions of pounds into training new models from scratch, this novel approach fuses together already-trained AI models using methods inspired by biological evolution. Call it the natural selection of artificial intelligence, as the best, most capable models survive to breed even better successors. “When you develop AI, you feel like you build from scratch whenever you need a new capability,” he says. Companies dedicate enormous sums of resources to data collection, computing power, and months of training. But Sakana AI’s method turns this game on its head entirely. Using evolutionary algorithms to graft together pre-trained models, researchers can create powerful new AI systems in days rather than months. This game-changing approach doesn’t just save money; it unlocks AI development to smaller companies and researchers who were previously priced out of cutting-edge AI development. And the consequences are far wider than just cost slashing, possibly shaking the access to high-flying AI up and down industries. Evolutionary Model Merge, Demystified The Natural Selection of AI Models A strange thing happened to the theory of evolution on the way to the 21st century. In March 2024, Sakana AI’s Evolutionary Model Merge burst onto the AI scene with a breakthrough that blew everyone’s mind — it showed the AI community that biological principles could significantly change the way in which smart machines are made. With Sakana AI’s Evolutionary Model Merge, AI development reached a new level of efficiency and performance. READ ALSO: NVIDIA Unveils Jetson Thor: AI Supercomputer Module That Powers Real-Time Reasoning for Robots The traditional model is like genetic engineering gone awry. Scientists carefully design each element, run many, many tests, and hope for the best. Sakana AI’s Evolutionary Model Merge operates like natural evolution – allowing advantageous traits to merge and perpetuate through selective breeding. The magic is accomplished with mathematical combinations known as “merge recipes.” These are not random blends, but carefully arranged fusions, navigated by evolutionary algorithms. Each of the merged models becomes a digital organism that competes for survival using performance measures. Core Mechanism: Models as Digital Organisms Sakana AI’s Evolutionary Model Merge uses evolutionary algorithms to automate the development of an architecture database by systematic hybridization and mutation, treating neural networks as live organisms with their own genetic code. There are three major genetic operators used in Sakana AI’s Evolutionary Model Merge: This is in sharp contrast to conventional ensemble methodologies. Instead of blending predictions from many models, Sakana AI’s Evolutionary Model Merge engineers brand new architectures that can outperform their parent models. The intelligence explosion paradox intrigues scientists the most. Combined models sometimes acquire surprising capabilities that neither parent possessed, not unlike a child who acquires abilities that neither parent was good at imparting. M2N2: Multi-Skill Models Without Retraining Model Merging of Natural Niches Explained AI specialization emerges from resource competition just as the natural world does. In Sakana AI’s Evolutionary Model Merge, three principles of evolution are applied in the M2N2 framework, which change mindsets on model development. These principles are central to Sakana AI’s Evolutionary Model Merge’s approach to efficient AI creation. READ ALSO: WhatsApp Launches Writing Help AI Feature to Rephrase Messages and Adjust Tone Securely Evolutionary Principle AI Application Benefit Resource Competition Models specialize in specific niches Eliminates redundant capabilities Reproductive Selection Performance metrics guide breeding Only successful traits survive Adaptive Crossover Beneficial traits are maintained during merging Preserves what works best The evolutionary model merged from M2N2, merged by Sakana AI, addresses catastrophic forgetting present in conventional fine-tuning. When you fine-tune a model for new tasks, it tends to forget some of its original abilities. M2N2 avoids this by keeping only successful features at merging. Practical Implementation Breakthroughs Japanese text-to-image model Suspect success No other than real-world validation: not only retaining English but also getting some Japanese. This achievement demonstrates how Evolutionary Model Merge, from Sakana AI, can enhance existing strength without trading off model capacity. The flexibility surprises many researchers. Traditional architectural boundaries are less relevant when combining models. A language model can be cleanly combined with a vision system to beget hybrid capabilities that neither model had to begin with. The combination of the Japanese language model and mathematical reasoning system offers a strong experimental validation. These studies provide evidence that Sakana AI’s Evolutionary Model Merge can be directly applied across domains and languages. The results confirm the versatility of Sakana AI’s Evolutionary Model Merge in diverse AI applications. CycleQD: Evolving Diverse Agent Populations Quality Diversity Framework Fundamentals Population-based evolution adopts model merging as crossover and SVD as mutation to generate diverse AI populations. CycleQD is unlike standard optimization, where the single best solution is desired, but it aims at quality and diversity simultaneously. You do not want one super-predator that’s going to take over everything. The merging of Sakana AI’s Evolutionary Model results in populations of models better in some tasks but still retain the general robustness of the system. The algorithm explicitly separates behavioral diversity from parameter diversity. Two models may also have dissimilar internal structures but perform similarly on tasks. CycleQD is looking for real differences in behavior that would lead to novel means of solving problems. The CycleQD Algorithm Architecture The process initiates with task-specific expert models as evolutionary roots. SVD mutation operators produce perturbations of the parameters but maintain core characteristics. Every generation is getting better at the cost of the freedom to be too different. READ ALSO: Windows 11 Handheld Gaming Mode on Xbox Ally: A Game-Changer for Portable Gaming? Sakana AI’s Evolutionary Model Merge through CycleQD follows this cycle: Start with diverse expert models Apply crossover operations (model merging) Introduce mutations (SVD parameter variations) Select based on quality-diversity metrics Repeat for multiple generations Diverse populations of small, specialized agents outperform monolithic models in many scenarios. This challenges the “bigger is better” mentality dominating current AI development. How Merge Recipes Beat Fine-Tuning Costs The Economics of Model Development In traditional

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NVIDIA Unveils Jetson Thor AI Supercomputer

NVIDIA Unveils Jetson Thor: AI Supercomputer Module That Powers Real-Time Reasoning for Robots

The NVIDIA Jetson Thor is a significant step, as robots can now last beyond following basic scripts and take actions inspired by the way humans do things. Imagine a factory robot seeing an unexpected obstacle. Instead of freezing, it holds its breath for mere milliseconds as it analyzes its situation and customizes its approach: Should it swerve left or right, climb, dive, accelerate? This is no longer just science fiction; this is the reality that NVIDIA Jetson Thor enables robotics today. The stakes couldn’t be higher. The need for real-time AI processing is more critical than ever as other industries are requiring smarter automation, as humanoid robotics takes flight. Thor is the AI computing power that turns programmed machines into thinking partners. Thor: The Robot Brain Think of NVIDIA Jetson Thor as providing robots with real neurons, instead of mere circuits.” This is not just another processor upgrade – it is a rethink about computer architecture for robotics. The ATI of Thor also implements a design based on the brain for the neural processing unit and processes several tasks concurrently. Whereas a typical robotic control system computes information serially, one instruction at a time, Thor creates parallel thinking strands. This can allow a robot to combine visual data analysis with voice command processing and movement plotting all at once. READ ALSO: WhatsApp Launches Writing Help AI Feature to Rephrase Messages and Adjust Tone Securely The Jetson Thor module contains a customized memory architecture designed for real-time decision trees. For robots making split-second decisions, Thor’s memory system quickly provides the information it needs. No waiting, no delays. Key Thor Architecture Features Component Specification Purpose Performance Impact Neural Processing Unit Custom AI cores Parallel thinking tasks 7x faster reasoning Memory Architecture High-bandwidth unified memory Instant data access Sub-millisecond response Power Efficiency 60W typical operation Extended battery life 40% better efficiency Processing Pipeline Under 10ms response time Real-time decisions 25x faster than humans What makes this revolutionary? Average human reaction time is 250ms. It is capable of processing sensor information, weighing actions, and making decisions, all in less than 10 milliseconds with the NVIDIA Jetson Thor. That is 25 times faster than the reflexes of a human. Blackwell Inside: Data-Center Punch at the Edge NVIDIA Jetson Thor delivers data-center-class AI processing in a module the size of your phone. The magic all resides in NVIDIA’s Blackwell GPU architecture, optimized for edge AI computing. Yeah, you love complex thinking. Most traditional robots connect to the cloud. This has the downside of introducing latency and dependency issues. Thor solves this problem by using the high-performance AI processing power in the robot. Thor also has deep support for huge tensor processing capabilities with the Blackwell architecture. That makes it capable of running generative AI models directly on the device without an internet connection. Privacy is maintained, and response time is near-zero. Thor’s Edge Computing Advantages: No cloud dependency for critical decisions Zero network latency for safety applications Complete data privacy for sensitive operations Reduced bandwidth costs for large robot fleets The thermal system ensures that Thor is cool, even under heavy load. The advanced heat dissipation enables sustained operation without performance degradation. This becomes significant when robots are used to work nonstop in extreme environments. Physical integration couldn’t be simpler. The Jetson developer kit supports common mounting systems and interfaces. Engineers updating a previous Jetson Orin installation can also make the transition with minimal hardware adjustments. READ ALSO: Google Veles: The New Open-Source Secret Scanner Strengthening GCP Security 2K TFLOPS for Real-Time Reasoning NVIDIA Jetson Thor performs 2000Tops (2,000 trillions) operations per second. To put this in context, that’s enough computational power to run ChatGPT-level reasoning 60 times per second. This huge AI computing power actually makes true, real-time robot-environment interactions possible. Multi-modal AI processing is the processing of vision, language, and sensor data all together. A service robot can recognize customers, comprehend speech, and move around in a crowd, while still fluent in conversation. The 2,000 TFLOPS is way off the charts from the other generations. Robotic computers used in the past only provided 32 TFLOPS, and they were capable of using only simple batch processing procedures. Jetson Orin does better at 275 TFLOPS, but Thor at 2,000 TFLOPS supports full, real-time AI reasoning. All of this processing power means that dynamic path planning becomes a breeze. Robots’ computers running the Thor system quickly compute hundreds of possible routes, selecting which route is preferable and is the best way to avoid obstructions or people. The system is experience-based AI with no cloud access. The machine learning computations occur locally, enabling robots to learn from past experiences. This results in smarter and more capable machines over time. From Dev Kit to Factory Floor NVIDIA Jetson Thor -Demo to Production- NVIDIA Jetson Thor fills the gap between a prototype and the move into production. The path from development begins with concrete tools and concludes with production solutions. The Jetson developer kit is everything engineers need. This starts with JetPack software, and it leverages TensorRT to optimize AI models for better performance and efficiency. Pre-trained models include capabilities such as navigation, object recognition, and human interaction. But the early folks can access a ton of documentation and a community. NVIDIA’s developer portal provides tutorials, along with sample code and direct access to our robotics experts. This reduces lead time from months to weeks. Production deployment involves careful planning. NVIDIA AGX modules have strict power supply and thermal requirements. For each unit, quality control procedures are undertaken to guarantee it is in good working condition. Development units are available starting at $5,000 for prototyping work. Small production runs are $2,500 per unit for special cases. Mass-production pricing drops to $1,200/unit for orders of 1,000 units or more, bringing consumer robotics within reach. General availability in the supply chain begins in Q2 2024. Global distribution comes from authorized dealers. This means that product availability keeps pace with increasing demand for use by robotics makers. Robots That Think Faster: Use

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