Meta unveils the Charm AI pendant and expands its Muse assistant with voice, interactive avatars, Mac control, email and AI-glasses access, while Mark Zuckerberg says the 2-inch-display wearable packs 5G, dual cameras and a fingerprint sensor.
Perplexity brings its Portable on-device AI agents to AMD Ryzen AI Max Windows PCs, letting Pro and Max subscribers run PPLX 27B or Qwen 27B locally with Gmail, Outlook, Slack, and GitHub integrations without using Computer credits.
AMD says its sixth-generation EPYC processors lead agentic AI data-center workloads, offering up to 512 threads, 16 memory channels, PCIe Gen 6 and boost clocks up to 5 GHz for AI agent host nodes and sandboxes.
Google launches Project Suncatcher’s first prototype satellite on SpaceX’s Transporter-18 mission to test Trillium AI chips in low Earth orbit, ahead of a 2027 two-satellite laser-link demonstration for orbital TPU clusters.
Qualcomm unveils Snapdragon Sound Elite Gen 2, an on-device AI platform for earbuds, smart glasses, watches and pins that it says doubles AI capability while using 40% less power and can run multiple AI agents at once.
ChangXin Memory Technologies says its 11.95nm fifth-generation DRAM has entered mass production, claiming parity with Samsung and Micron’s leading nodes while using four-exposure patterning under U.S. export controls.
Qualcomm launches Snapdragon 8 Elite Extreme Gen 6 and 8 Elite Gen 6 chips, with the Extreme model running 30-billion-parameter on-device AI and debuting in Motorola’s Signature 27.
Alibaba unveils its T-Head-designed Zhenwu V900 AI accelerator, claiming it is China’s most powerful chip and can be clustered in systems of up to 500,000 units to train frontier models in a challenge to Nvidia.
Google opens U.S. preorders for the $899 Googlebook AI laptop ahead of its October 4 retail launch, pairing Android and desktop Chrome with Magic Cursor, Gemini Live, and 12 months of Google AI Pro with 5TB storage.
Alibaba unveils its Zhenwu V900 AI chip, calling it China’s most powerful, as CEO Eddie Wu says the T-Head accelerator delivers triple its predecessor’s performance and can scale to 500,000-chip clusters for frontier-model training.