Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Systems used in many industries could save energy through these new surface treatments.
Failing to consider neighborhood texture in hurricane-related wind loss models may undervalue stronger construction by over 80 percent.
Researchers created Exo for writing high-performance code on hardware accelerators.
The findings could inform the design of practical superconducting devices.
The moon sustained twice as many impacts as can be seen on its surface, scientists find.
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
Long predicted but never observed, this fluid-like electron behavior could be leveraged for low-power next-generation electronics.
Insight into the way the EGF receptor sends signals into cells could help researchers design new cancer drugs that target this protein.
Study highlights pathways to cut emissions and lower climate and health risks.
First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.
Researchers reveal how an algae-eating bacterium solves an environmental engineering challenge.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
With over 200 published papers, multiple books, and countless media appearances, Emanuel’s 41 years at MIT have been marked by influential research into hurricane formation and climate change outreach.
Foams that incorporate small amounts of the gas could be delivered to the GI tract to combat colitis and other conditions.