Nvidia CEO Jensen Huang announces the company projects over $1 trillion in data center sales through 2027, driven largely by hyperscalers like Amazon and Google, with the actual total expected to surpass $1.25 trillion once newly debuted chip platforms are factored in.
A real-world AI tool deployed across 16 Nairobi clinics is cutting diagnosis errors by 16% and treatment errors by 13% across 20,000 patient visits, while unexpectedly boosting clinician confidence by delivering silent, targeted corrective nudges during care.
Columbia University researchers are deploying cutting-edge AI tools to decode the molecular complexity of human biology, uncovering hidden genetic drivers of pediatric leukemia, Alzheimer's, and cancer in a landmark shift toward predictive, personalized medicine.
Microsoft launches MAI-Image-2, a powerful next-generation text-to-image AI model debuting at third place on the Arena.ai leaderboard, offering hyper-detailed photorealism, legible text generation, and accurate skin tones, now available in preview on the MAI Playground with Copilot and Bing Image Creator rollout underway.
Cloudflare launches Kimi K2.5 on Workers AI, achieving a massive 77% cut in inference costs while processing over 7 billion tokens daily, bringing powerful frontier open-source AI capabilities including a 256k context window and vision inputs to its platform alongside new features like prefix caching and a redesigned async API.
China's £100bn robotics revolution is accelerating at breakneck speed, with 140 firms deploying AI-powered humanoid robots in factories and retail settings worldwide, as experts warn hundreds of millions of factory jobs could vanish by the mid-2030s.
Cursor's newly released Composer 2 coding model outperforms Anthropic's Claude Opus 4.6 on Terminal-Bench 2.0 benchmarks while costing up to 90% less, thanks to a breakthrough 'self-summarization' training technique that compresses context windows and cuts compaction errors in half.
A billion-dollar race to build world models is accelerating as AI giants and startups pour massive funding into technology that can simulate physical reality, with AMI Labs raising $1.03 billion and World Labs securing $1 billion to overcome the critical limits large language models face in robotics and autonomous driving.
Over 300 gather at MIT's 'Gender, Empire, and AI' symposium where experts challenge Big Tech's AI expansion, arguing that smaller, community-centered tools are more beneficial and sustainable than massive large language models.
MIT researchers unveil a breakthrough uncertainty quantification method that detects overconfident AI responses by measuring disagreement across multiple similar LLMs, significantly reducing hallucinations and outperforming existing approaches across 10 tasks including math reasoning and question-answering.