Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
Carlos Guestrin to Lead Stanford AI Lab as it Joins Forces with Stanford HAI
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
Stanford HAI researchers develop a new benchmark suite aimed to test difference awareness in AI models.
Stanford HAI researchers develop a new benchmark suite aimed to test difference awareness in AI models.
Advancing Responsible Healthcare AI with Longitudinal EHR Datasets
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
AI Pioneer Fei-Fei Li Says AI Policy Must Be Based On ‘Science, Not Science Fiction’
Fei-Fei Li, Co-Director of Stanford HAI, outlines “three fundamental principles for the future of AI policymaking” ahead of the AI Action Summit in Paris.
Fei-Fei Li, Co-Director of Stanford HAI, outlines “three fundamental principles for the future of AI policymaking” ahead of the AI Action Summit in Paris.