PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.

Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.

MIT researchers develop "FrameDiff," a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.

New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.

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.

The new strategy may enable engineered T cells to eradicate solid tumors such as glioblastoma.

Training artificial neural networks with data from real brains can make computer vision more robust.