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.
A groundbreaking AI system called ACRA is now autonomously reading scientific literature and translating chemical synthesis procedures into robotic lab experiments, successfully completing six real-world synthesis examples across two robotic platforms and promising to revolutionize automated chemistry research.
MIT's new AI model VibeGen is revolutionizing molecular engineering by designing proteins based on their motion and vibrations rather than static structure, potentially unlocking breakthroughs in adaptive medicine and next-generation biomaterials like self-healing components and biodegradable plastics.
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.
AI is rapidly lowering barriers for terrorists and rogue states to develop biological weapons, prompting urgent calls from government officials and tech executives for immediate policy action, including stronger gene synthesis screening and enhanced AI safety guardrails.
A groundbreaking NHS AI mammography system detects 25% more missed cancers while cutting radiologist workload by up to 44%, offering a powerful solution to the UK's radiologist shortage, though human panels incorrectly overruled the AI on 93 cancer cases, highlighting urgent need for improved human-AI collaboration.
A groundbreaking study reveals that AI tools powered by curated scientific databases dramatically outperform open web-based rivals in expert-level superconductivity knowledge tests, with NotebookLM and a custom retrieval-augmented generation system topping rankings across accuracy, comprehensiveness, and evidence quality — though all tested models still struggle with temporal reasoning and interpreting scientific visuals.
Physical Superintelligence PBC launches 'Get Physics Done,' the first open-source agentic AI physicist, featuring 61 commands, a four-stage research workflow, and support for four major AI runtimes, now available on GitHub and installable with a single command.
MIT and Microsoft researchers are using AI to design nanoparticle sensors that detect early-stage cancer through a simple urine test, with scientists now working to develop an at-home diagnostic kit capable of identifying up to 30 types of cancer.