Machine-learning model helps determine protein structures
New technique reveals many possible conformations that a protein may take.
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New technique reveals many possible conformations that a protein may take.
Analysis reveals genetic control elements that are linked to hundreds of human traits.
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
MIT Task Force on the Work of the Future releases research brief "Artificial Intelligence and the Future of Work."
A new system devises hardware architectures to hasten robots’ response time.
Association for Computing Machinery honors Anantha Chandrakasan, Alan Edelman, and Samuel Madden for work that underpins contemporary computing.
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
MIT mechanical engineers have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses.
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.