Arm unveils Lumex Compute Subsystem for on-device AI

🚀 Exciting News from Arm! Introducing "Lumex" — the next-gen chip designs built for AI 🚀 Arm just unveiled Lumex, a new family of mobile chips designed to run AI directly on devices. From wearables to flagship smartphones, these 3-nm chips promise faster performance, lower latency, and less reliance on the cloud. Why it matters: ⚡ Real-time AI translation & offline intelligence 🔒 Better privacy with on-device processing 🔧 Flexible variants for different devices This isn’t just an upgrade—it’s a shift toward truly AI-first mobile experiences. 👉 How do you see on-device AI changing the apps and tools we use every day? 📄 Read more: https://lnkd.in/efuME_7W #teletechPartners #AI #ArtificialIntelligence #Mobile #Chips #Innovation #TechNews #OnDeviceAI #MachineLearning #Smartphones #Wearables #Semiconductors #FutureOfTech #EdgeAI #CloudComputing #DataPrivacy #5G #IoT #TechInnovation

Arm Unveils Lumex: Next-Generation Mobile Chip Designs for On-Device AI Arm Holdings has introduced Lumex, its latest generation of mobile chip designs optimized to bring artificial intelligence directly onto devices such as smartphones and wearables—without requiring cloud access. The Lumex lineup includes four tiers, ranging from highly energy-efficient models for smartwatches to high-performance versions designed for advanced smartphones capable of running large AI models locally. According to Chris Bergey, SVP and GM at Arm, AI is increasingly viewed as an “expectation” in mobile experiences, from real-time interactions to applications like instant translation. Key highlights: ▪️ On-device AI: Designed to run large models without internet connectivity. ▪️ Performance range: Energy-efficient cores for wearables up to high-performance variants for flagship smartphones. ▪️ Manufacturing: Optimized for 3-nanometer nodes, including TSMC’s process used in Apple’s latest iPhone chips. ▪️ Business strategy: Part of Arm’s Compute Subsystems (CSS) push, offering more complete, ready-made solutions for handset makers and chip designers. Arm also noted plans to invest further in chip development, supported by new key hires. The company is showcasing Lumex in China, where many leading handset manufacturers—beyond Apple and Samsung—are based. Thanks to Reuters for providing the full article with additional background, charts, and insights at the link below. 👇 https://lnkd.in/gw788jgZ #ChipDesign,#SemiconductorManufacturing, #VLSI, #Lithography, #ICPackaging

Optical image stabilization is no longer limited to flagship devices. TDK’s new ICM-536xx 6-axis IMU combines a gyroscope and accelerometer in one compact package, giving engineers a way to shrink OIS hardware while improving performance. For smartphones, wearables, and AR/VR systems, that means sharper images, smoother video, and lower system complexity. 🔗 Full article: https://lnkd.in/ea_i7_zm 👉 Join the club: https://lnkd.in/endaP-ej 💬 Join the discussion on Reddit: https://lnkd.in/edBrha36 #TCC #TheComponentClub #TDK #IMU #MEMS #OIS #Sensors #TechNews #Electronics #Semiconductors

🌐 Samsung’s Big Push: Galaxy AI to reach 400 million devices by end of 2025 AI is moving fast from buzzword to everyday reality. Samsung has announced that Galaxy AI will be integrated into 400 million devices (smartphones, tablets, wearables, and PCs) by the end of 2025. This means AI features like smarter photo editing, real-time translation, and productivity tools will soon be in everyone’s hands. 💡 Would you welcome AI in your daily routine through your phone and wearables, or do you feel cautious about it? #GalaxyAI #Samsung #AI #TechNews #FutureOfWork

👓 𝗔𝗺𝗮𝘇𝗼𝗻 𝗶𝘀 𝗲𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗥 𝗴𝗹𝗮𝘀𝘀𝗲𝘀 𝗿𝗮𝗰𝗲 Reports say the company is developing two versions: 🎯 𝘊𝘰𝘯𝘴𝘶𝘮𝘦𝘳 𝘮𝘰𝘥𝘦𝘭: launching late 2026 or early 2027, with microphones, speakers, a camera, and a full-color display. 📦 𝘋𝘳𝘪𝘷𝘦𝘳 𝘮𝘰𝘥𝘦𝘭: expected as soon as Q2 2026, designed to make sorting and deliveries more efficient. Both products will share the same underlying technology, with the consumer version getting the full-color display. Why it matters: advances in AI and wearable tech are creating momentum for AR devices—and Amazon’s move signals growing confidence that smart glasses could become the next mainstream connected product. #Amazon #AR #AugmentedReality #Wearables #Innovation #FutureOfWork #Technology

#AI | Arm Unveils Lumex : Next-Gen Mobile AI Chips Arm Holdings launches Lumex , its next-generation AI-powered chip designs that enable smartphones and watches to run advanced AI tasks without needing the internet. Read More , The new generation Arm mobile designs come in four types, ranging from less powerful but more energy efficient ones designed for watches and other smart wearable devices to a version designed to maximize the computing horsepower available. ThLumexex designs announced are part of the company's Compute Subsystems (CSS) business, which aims to offer handset makers and chip designers a more ready-made piece of technology that enables their speedy use in new products. The peak performance design aims to run software that harnesses the power of large AI models without accessing cloud computing on devices such as high-end smartphones. "AI is becoming pretty fundamental to kind of what's happening, whether it's kind of real-time interactions or some killer use cases like AI translation," said Chris Bergey , A Senior vice president and general manager at Arm ."We are just seeing AI become kind of this expectation." The complete designs the Arm is now making for data centers and mobile phones are part of the company's longer-term plans to grow its smartphone and other revenue through a variety of mean Arm also plans to invest more money into examining making its own chips and has hired several key people in order to do so. #Arm #Lumex #AI #MobileTech #ChipDesign #TechInnovation #DigitalTransformation #EdgeAI #SmartDevices #IoT #NextGenTech #CXOJunction #CXJExpress #ArtificialIntelligence #TechTrends

The Future Beyond Smartphones Tech giants are preparing for a post-smartphone era where AI assistants become the core of personal computing. From smart glasses and AI-powered wearables to ambient home computers, the focus is on hands-free, intelligent support throughout the day. Experts predict that next-gen AI assistants will eventually replace apps and operating systems, handling tasks like planning, shopping, and note-taking automatically. In time, devices like AI glasses or wristbands may succeed the smartphone as our main personal computing tool. #ArtificialIntelligence #FutureOfWork #Innovation #SmartTechnology #AI #TechTrends #DigitalTransformation #FutureComputing

Your phone may know if you’re about to trip… before you do. Sounds like sci-fi, right? But projects like OneStep are already turning everyday smartphones into clinical-grade tools for gait analysis, fall-risk detection, and therapy tracking. No clunky wearables. Just the device already in your pocket. Meanwhile, AI is getting sharper eyes than ever, retinal imaging tools now spot signs of diabetic retinopathy and macular degeneration faster than a specialist appointment. It’s a fascinating shift: From reactive to predictive care. From specialty devices to ubiquitous tech. From data silos to real-time, actionable insights. At Nalashaa, we’ve started exploring different use cases of wearables, remote monitoring, and AI diagnostics for some of our clients, from mobility tracking to preventive care insights. Curious what this looks like in practice? DM me if you’d like to see examples or demo a few of these use cases. #DigitalHealth #RemoteMonitoring #Wearables #PredictiveCare #HealthTech #AIinHealthcare #iphone #Apple #AppleHealth #HealthAi #Remotemontioring #RemotePatientMonitoring

📱 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐑𝐀𝐌: 𝐀 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐑𝐀𝐌 (𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐑𝐚𝐧𝐝𝐨𝐦 𝐀𝐜𝐜𝐞𝐬𝐬 𝐌𝐞𝐦𝐨𝐫𝐲) is a type of low-power memory designed specifically for smartphones, tablets, wearables, and other portable devices. Unlike traditional DRAM, Mobile DRAM prioritizes power efficiency, high bandwidth, and compact form factors, making it crucial for delivering smooth performance in today’s data-driven mobile ecosystem. As consumer demand for 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐬𝐦𝐚𝐫𝐭𝐩𝐡𝐨𝐧𝐞𝐬, 𝟓𝐆 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡-𝐫𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐠𝐚𝐦𝐢𝐧𝐠 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 rises, Mobile DRAM has become a backbone of the mobile semiconductor industry. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐅𝐫𝐞𝐞 𝐆𝐮𝐢𝐝𝐞 @ https://lnkd.in/deibM4qt ✅ 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 : ◘ 𝐒𝐦𝐚𝐫𝐭𝐩𝐡𝐨𝐧𝐞𝐬 & 𝐓𝐚𝐛𝐥𝐞𝐭𝐬: Enhances multitasking and app performance. ◘ 𝟓𝐆 𝐃𝐞𝐯𝐢𝐜𝐞𝐬: Handles higher data throughput efficiently. ◘ 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞𝐬 & 𝐈𝐨𝐓: Provides low-power, compact memory for smart devices. ◘ 𝐆𝐚𝐦𝐢𝐧𝐠 & 𝐀𝐑/𝐕𝐑: Supports high bandwidth for immersive experiences. ◘ 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞: Powers infotainment systems and ADAS in connected vehicles. ⭐ 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 : ◘ 𝐋𝐨𝐰 𝐏𝐨𝐰𝐞𝐫 𝐂𝐨𝐧𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧: Extends battery life in mobile devices. ◘ 𝐇𝐢𝐠𝐡 𝐁𝐚𝐧𝐝𝐰𝐢𝐝𝐭𝐡: Ensures seamless performance for AI, graphics, and 5G apps. ◘ 𝐂𝐨𝐦𝐩𝐚𝐜𝐭 𝐒𝐢𝐳𝐞: Ideal for slim, lightweight electronics. ◘ 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Supports continuous evolution from LPDDR3 to LPDDR5X. ◘ 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Balances speed and performance without overheating. 📂 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐑𝐀𝐌 : ◘ 𝐋𝐏𝐃𝐃𝐑𝟑: Legacy standard for entry-level devices. ◘ 𝐋𝐏𝐃𝐃𝐑𝟒/𝟒𝐗: Widely used in mid to high-end smartphones. ◘ 𝐋𝐏𝐃𝐃𝐑𝟓/𝟓𝐗: Next-gen memory powering 5G, AI, and AR/VR applications. ◘ 𝐇𝐞𝐭𝐞𝐫𝐨𝐠𝐞𝐧𝐞𝐨𝐮𝐬 𝐃𝐑𝐀𝐌 𝐌𝐨𝐝𝐮𝐥𝐞𝐬: Customized for AI-driven and automotive use cases. 🌍 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐑𝐀𝐌 𝐌𝐚𝐫𝐤𝐞𝐭 : Samsung Electronics, SK hynix, Micron Technology, Winbond Electronics Corporation America, Nanya Technology, POWERCHIP TECHNOLOGY CORPORATION, Intel Corporation, KIOXIA Group, Cypress Semiconductor Corporation, Etron Technology Inc. 鈺創科技, ISSI Integrated Silicon Solution Inc., Rambus, Cadence Design Systems (India) Pvt. Ltd., Fujitsu, MediaTek, Qualcomm, Broadcom, Apple, Huawei, Renesas Electronics With 𝟓𝐆 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧, 𝐞𝐝𝐠𝐞 𝐀𝐈, 𝐚𝐧𝐝 𝐧𝐞𝐱𝐭-𝐠𝐞𝐧 𝐦𝐨𝐛𝐢𝐥𝐞 experiences driving memory demand, 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐑𝐀𝐌 will continue to play a central role in shaping the future of smart devices and connected technologies. #MobileDRAM #Semiconductors #5G #Smartphones #MemoryTechnology #AI #ARVR #IoT