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MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
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MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.
Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.
An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.
MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering.
A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health…
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.
MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.