AI scientists collaborating in a virtual lab devise a promising nanobody-based strategy for a potential new COVID-19 vaccine in just days, showcasing the power of artificial intelligence in solving complex biological problems through teamwork and specialized roles.
In a groundbreaking partnership, Saudi Aramco and Google AI firm SandboxAQ use quantum computing to transform carbon emissions into profitable products, making fighting climate change lucrative for oil giants and accelerating the shift to cleaner energy.
Aeneas, a groundbreaking AI model, revolutionizes the interpretation of ancient Latin inscriptions by reasoning across thousands of texts, retrieving contextual parallels to restore fragments, predict dates and locations, and attribute inscriptions to Roman provinces, transforming historians' ability to connect the past.
A UK engineering researcher spearheads an NSF-funded initiative, collaborating with Michigan State University, to develop cutting-edge machine learning models capable of simulating the progression of heart fibrosis, advancing computational modeling of heart disease.
In a groundbreaking achievement, the AI system Gemini, powered by Deep Think, conquers the prestigious International Mathematical Olympiad, earning a gold medal with a perfect score on five out of six complex math problems through innovative parallel thinking and reinforcement learning techniques.
Groundbreaking AI models from OpenAI and Google DeepMind achieve gold medal-level performance at the prestigious International Mathematical Olympiad, solving complex problems and providing natural language proofs, marking a milestone in general-purpose AI for math and reasoning.
Researchers develop AI 'digital twins' using extensive medical data from over 13,000 participants to predict future health, detect diseases early, and simulate personalized treatments.
Researchers unveil a groundbreaking 'self-driving lab' technique that accelerates materials discovery tenfold by continuously varying and monitoring chemical mixtures in real-time, enabling smarter and faster machine learning predictions while dramatically expediting research and slashing costs.
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.