A groundbreaking self-driving lab accelerates materials discovery through real-time data collection, gathering 10 times more data than previous techniques by continuously monitoring chemical reactions, enabling machine learning algorithms to make faster, more accurate predictions while reducing waste.
BioEmu, a groundbreaking model, revolutionizes protein structure prediction by sampling from the equilibrium distribution of structures for a protein monomer based on its amino acid sequence, providing inference code, model weights, and availability as a Linux package and on Azure AI Foundry.
A groundbreaking AI model called Centaur simulates human cognition and decision-making with 64% accuracy, trained on over 10 million data points from psychological experiments, paving the way for unprecedented insights into the human mind.
In a groundbreaking medical achievement, an autonomous robot surgeon successfully removes a patient's gallbladder unaided, demonstrating remarkable surgical skills on par with expert human surgeons and adaptability to unexpected situations through voice command learning.
A groundbreaking UCLA study uncovers remarkable similarities in neural patterns between biological brains and AI systems during social interactions, unveiling 'shared' and 'unique' neural subspaces that could revolutionize our understanding of social disorders and pave the way for socially aware artificial intelligence.
AI startup Isomorphic Labs, spun out of DeepMind, prepares for human trials of drugs designed by cutting-edge AI paired with pharma experts, aiming for 100% conviction drugs will work before trials, promising faster, cheaper and more accurate medicine design.
A couple achieves pregnancy after 18 years through AI technology that scans semen samples, locating rare sperm cells for IVF at Columbia University Fertility Center.
A groundbreaking AI model called AlphaGenome revolutionizes the prediction of how genetic variations impact gene regulation, offering high-resolution insights across various molecular properties and cell types, achieving state-of-the-art performance for disease understanding and genomic research.
An AI model developed by researchers rapidly identifies eco-friendly cement formulas with low carbon footprint and high quality in seconds by simulating thousands of ingredient combinations, combining expertise from cement chemists, thermodynamics experts, and AI specialists to accelerate sustainable material discovery.
Researchers develop an AI model that rapidly identifies low-emission cement formulations while maintaining quality, combining expertise in cement chemistry, math, AI, and engineering to accelerate eco-friendly cement discovery.