Nvidia launches Ising, a family of open AI models claiming to deliver error correction decoding 2.5 times faster and three times more accurate than conventional methods, already being adopted by Harvard and Lawrence Berkeley National Lab as the tech giant moves to embed itself in the quantum computing ecosystem before …
A perfect storm of surging AI token demand, a 48% spike in GPU costs, and war-driven semiconductor supply chain disruptions are pushing the AI industry to a breaking point, with OpenAI's token demand exploding from 6 million to 15 billion per minute and Anthropic restricting access to its latest model.
NVIDIA launches Ising, the world's first open-source AI model family built to supercharge quantum computing, cutting processor calibration time from days to hours and delivering error correction that is 2.5x faster and 3x more accurate than current industry standards, with Harvard, Fermilab, and other major institutions already on board.
AI training compute has exploded 1 trillion times since 2010, while deployment costs have collapsed 900x annually, and with global capacity forecast to hit 100 million H100-equivalents by 2027, human-level autonomous AI agents capable of handling complex, multi-week tasks are rapidly approaching reality.
SoftBank launches a new AI unit in Japan, backed by eight major corporate investors including NEC and Honda Motor, signaling a major push to develop homegrown artificial intelligence infrastructure across the country.
Google launches AI Edge Gallery for iPhone, bringing fully offline Gemma 4 AI with multimodal image analysis, real-time audio transcription, and step-by-step reasoning directly to Apple devices — no internet required.
Anthropic is exploring designing its own AI chips through 'extreme co-design' to cut costs, reduce latency, and break free from Nvidia dependence, though it would rely on manufacturers like TSMC or Samsung for production.
Snap's eyewear subsidiary, Specs, partners with Qualcomm to power future AR glasses with Snapdragon technology, promising true spatial AR capabilities that accurately overlay digital content onto the real world — setting it apart from Meta and Google's competing devices ahead of a consumer launch later this year.
A San Francisco startup is growing AI chips from living human brain cells that train models 3x faster while using 66% less energy, backed by $25 million in seed funding and already in talks with major AI labs.
Snap's fifth-generation AR Spectacles impress with crisp visuals, gesture controls, and real-time multi-user AR experiences powered by four cameras and dual Snapdragon processors, but a bulky design and $99/month developer-only price tag stand between these glasses and mainstream adoption.