Armando Solar-Lezama named inaugural Distinguished College of Computing Professor
EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.
EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.
PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.
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.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
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.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.