Generative AI imagines new protein structures
“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
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“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Prestigious awards recognize community support of MIT’s goals, values, and mission.
PhD student Will Sussman studies wireless networks while fostering community networks.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
A new technique produces perovskite nanocrystals right where they’re needed, so the exceedingly delicate materials can be integrated into nanoscale devices.
A new computational method facilitates the dense placement of objects inside a rigid container.
A longtime beloved MIT faculty member, Thornton was an adventurer who advocated exploration in all aspects of life.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
The system analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information.
Work could lead to heady applications in novel electronics and more.
Ranking at the top for the 12th year in a row, the Institute also places first in 11 subject areas.