Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
MIT researchers who share their data recognized at second annual awards celebration.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Study finds climate policy alone cannot meaningfully reduce racial/economic disparities in air pollution exposure.
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
A new study finds system deployment processes have been slow to improve over time — but must be addressed to lower clean energy costs in the future.
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.
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