Qualcomm acquires Italian hardware company Arduino for undisclosed terms, gaining direct access to robotics developers and hobbyists while launching the new Uno Q board featuring Qualcomm's AI-capable Dragonwing QRB2210 processor for $45-55.
Google enhances its Jules AI coding assistant with new command line tools and API support, while Nvidia introduces a revolutionary 4-bit training format that cuts AI training costs, and MIT researchers use generative AI to dramatically accelerate antibiotic discovery from years to much shorter timeframes.
OpenAI secures massive multi-year deal with AMD for 6 gigawatts of Instinct GPUs starting in 2026, receiving warrants for up to 160 million AMD shares that could grant a 10% ownership stake, sending AMD stock soaring 24% as the partnership positions the chipmaker as a key alternative to reduce OpenAI's …
AMD stock rockets 35% to $222.24 after signing a massive multi-year chip supply deal with OpenAI worth tens of billions, giving the AI company access to 6 gigawatts of compute capacity and an option to purchase up to 160 million AMD shares.
OpenAI and former Apple designer Jony Ive's ambitious palm-sized, screenless AI device hits major roadblocks as engineers struggle with 'always on' functionality, privacy concerns, and computing infrastructure issues, potentially derailing the planned 2026 launch.
Major tech giants Meta and Oracle secretly accumulate $47 billion in hidden AI debt through off-balance-sheet financing schemes reminiscent of subprime mortgage crisis tactics, prompting analysts to warn of dangerous bubble behavior as companies gamble on unproven AI returns.
Former Apple design chief Jony Ive and OpenAI's Sam Altman delay their revolutionary palm-sized screenless AI device launch due to computing power struggles, software glitches, and privacy concerns, as the team scrambles to avoid the fate of Humane's failed AI Pin while perfecting camera-microphone-speaker communication technology.
Huawei releases open-source SINQ technology that cuts AI model memory usage by 70%, allowing enterprise models that previously required $30,000 GPUs to run on $1,600 consumer graphics cards, potentially saving thousands in computing costs while maintaining performance quality.
Nvidia achieves groundbreaking 4-bit AI training breakthrough with new NVFP4 format, delivering 6X speed boost and 50% memory reduction while matching full precision results on 12-billion-parameter language model, requiring only 1% higher validation loss and 36% less training data than competitors.
Major AI systems from Google DeepMind, Microsoft, and Meta generate millions of promising new materials, but scientists discover 80-84% contain fatal flaws that make them impossible to synthesize in reality.