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On-device AI

Industry tag622 stories

  1. IndustryReach 40

    AMD takes on Nvidia with MI300 AI chips

    AMD just launched its Instinct MI300X accelerator and MI300A APU to challenge Nvidia’s dominance in large language model training and inference. The company claims the MI300X beats Nvidia’s H100 by 1.4x in Llama 2 inference, with Microsoft and Meta already lining up to deploy the hardware in cloud and data centers.

  2. Open sourceReach 48

    Apple quietly open-sources MLX to run models on Mac chips

    Apple just quietly dropped MLX and MLX Data, a new machine learning framework tailored specifically for Apple Silicon. Inspired by PyTorch and Jax, it takes advantage of unified memory so CPUs and GPUs can process tasks without moving data, packing enough punch to train and run models like Llama and Stable Diffusion locally. Why it matters: Apple is finally giving developers the tools to turn MacBooks into capable generative AI workstations.

  3. IndustryReach 48

    McDonald's teams up with Google Cloud to bring AI to thousands of stores

    McDonald's just announced a multi-year global partnership with Google Cloud to deploy edge computing and generative AI across thousands of restaurants worldwide. The chain will install Google Distributed Cloud hardware and software locally to power its mobile app and self-service kiosks. Why it matters: running AI right on-site helps keep kitchen and ordering systems fast and resilient without relying purely on remote servers.

  4. AI modelsReach 47

    Microsoft's Orca 2 punches way above its weight

    Microsoft just released Orca 2, a pair of small language models trained to use tailored reasoning strategies rather than blindly mimicking giant models. By learning when to reason step-by-step or answer directly, it matches or beats models 5 to 10 times larger on complex zero-shot benchmarks.

  5. AI modelsReach 43

    Samsung builds its own generative AI model, Gauss

    Samsung just unveiled Gauss, its proprietary generative AI model built to power on-device features across its hardware lineup. Developed by Samsung Research, the tech splits into Language for translation and summaries, Code for programming assistance, and Image for generating and upscaling visuals. Running these features locally on upcoming flagships like the Galaxy S24 gives Samsung a latency and privacy edge over cloud-tethered chatbots.

  6. IndustryReach 34

    Tesla plans to bring Elon Musk’s Grok AI into its cars

    Elon Musk just confirmed plans to integrate xAI's newly launched Grok assistant into Tesla electric vehicles, running a smaller quantized model natively using local car compute. Musk noted this setup could turn parked Teslas into a massive distributed inference network. Why it matters: Bringing LLMs directly to vehicle hardware cuts latency and cloud dependence, though there is no official launch date yet.

  7. RoboticsReach 36

    Waymo's robotaxis just landed on Uber in Phoenix

    Uber just rolled out Waymo driverless vehicles to passengers in Metro Phoenix. Riders booking UberX or Uber Comfort can now get matched with a fully autonomous Waymo vehicle without needing a separate app. The launch comes right as competitor Cruise suffers a permit suspension, giving Waymo a massive distribution boost.

  8. IndustryReach 31

    Lenovo's hybrid AI push: Bringing LLMs directly to PCs

    Lenovo just unveiled its hybrid AI roadmap at TechWorld 2023, spanning public models, private enterprise systems, and personal on-device models. The hardware giant deepened its partnership with Nvidia on optimized servers while deploying compression techniques to shrink foundation models down to PCs. Why it matters: PC makers are betting heavily that enterprise AI will run locally, not just inside massive cloud clusters.

  9. IndustryReach 35

    Leaked specs reveal Qualcomm's AI-heavy Snapdragon 8 Gen 3

    Qualcomm's upcoming Snapdragon 8 Gen 3 has leaked in full, showing a massive bet on on-device generative AI. Leaked internal documents detail an upgraded Hexagon NPU supporting INT4 precision alongside Unreal Engine 5.2 ray tracing. Why it matters: it establishes the silicon foundation for the first true wave of generative AI features on Android phones.

  10. AI modelsReach 47

    Stability AI drops Stable LM 3B for edge devices

    Stability AI just released an experimental version of Stable LM 3B, a compact 3-billion-parameter language model tailored to run locally on laptops and handhelds. Despite its small footprint, it outperforms prior 3B models and even beats some 7B open-source models on common reasoning benchmarks. The base model is open-sourced under CC-By-SA 4.0 on Hugging Face, with an instruction-tuned variant coming soon.

  11. IndustryReach 36

    Google's $399 Chromebook Plus brings AI to the budget crowd

    Google just introduced Chromebook Plus, a new hardware category that bakes system-level AI tools into affordable laptops starting at $399. Built with guaranteed minimum specs, the devices offer OS-level noise reduction and lighting tweaks for any video calling app, alongside Google Photos Magic Eraser. Why it matters: Google is quietly turning budget computers into capable, AI-first machines without inflating prices.

  12. IndustryReach 37

    Tim Cook confirms Apple is working on ChatGPT-style AI

    Apple CEO Tim Cook just confirmed that the company is actively researching ChatGPT-style generative AI and plans to increase AI hiring in the UK. Cook pointed out that AI is already quietly powering features like Apple Watch fall detection and iPhone predictive text. While Apple has stayed noticeably restrained during the chatbot boom, Cook's remarks confirm Cupertino is definitely building its countermove.

  13. ResearchReach 31

    AI brings 3-minute cancer biopsy results straight to the operating room

    Invenio Imaging just put deep learning right inside the operating room, using NVIDIA edge AI to analyze fresh biopsies in three minutes instead of waiting weeks for a pathology lab. The system achieved 93% accuracy in 90 seconds for tumor biomarkers, letting surgeons make immediate calls during surgery.

  14. IndustryReach 36

    Apple rolls out macOS Sonoma with on-device Transformer autocorrect

    Apple just released macOS Sonoma as a free software update for Mac users worldwide. Beyond interactive desktop widgets and video conferencing overlays, the update brings an on-device Transformer language model to overhaul autocorrect and inline sentence predictions. It basically means speech dictation and typing on Mac get a smart, private machine learning boost directly on silicon.

  15. IndustryReach 34

    Leaked Pixel 8 video shows off Google's next AI camera features

    Google's upcoming Pixel 8 series just appeared in a leaked promo video showcasing big AI photo editing updates. The phones will debut Magic Editor, letting users merge multiple shots so everyone smiles at once, reposition subjects, and swap midday skies for sunsets. Google is also adding DSLR-style manual shutter and ISO controls.

  16. IndustryReach 31

    Microsoft gears up for fall Surface event

    Microsoft is hosting a special hardware event on September 21, likely unveiling refreshed Surface devices alongside new AI features. The company will not run an official real-time livestream during the morning session, with full video on-demand rolling out later that afternoon.

  17. IndustryReach 39

    Panos Panay exits Microsoft as Windows pivots to AI

    Microsoft's Surface chief Panos Panay just made a shock departure right before the company's hardware showcase. Consumer marketing lead Yusuf Mehdi and silicon chief Pavan Davuluri are splitting his responsibilities, alongside a new team focused on AI web experiences for Windows. Why it matters: Microsoft is steering its PC and hardware roadmap away from risky hardware bets and fully toward AI integration.

  18. IndustryReach 49

    Apple's iPhone 15 skips generative AI for subtle, intuitive features

    Apple just rolled out the iPhone 15 powered by the A17 Pro chip, intentionally sidestepping the generative AI hype. Instead of buzzy chatbots or AI image editors, Apple baked machine learning into everyday friction points—voice isolation for calls, automatic portrait depth capture, and synthetic voices for speech loss. Why it matters: Apple bets that invisible, reliable utility wins users faster than conversational parlor tricks.