Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...

This roadblock inspired us to develop a machine-learning agent that learns to generate adaptive haptics for individuals’ gloves, introducing them to a more hands-on approach to learning optimal motion ...

The MIT xPRO Driving Innovation with Generative AI program prepares students for industry employment through its practical ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Researchers at MIT CSAIL and Project CETI believe that they have unlocked a kind of sperm whale alphabet with the aid of machine learning technologies. Results from the study, which were published ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds.

CAMBRIDGE, MA - Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will dissolve in an organic solvent — a key step in the ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.