School of Engineering second quarter 2023 awards
Faculty and researchers across MIT’s School of Engineering receive many awards in recognition of their scholarship, service, and overall excellence.
A simpler method for learning to control a robot
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
A faster way to teach a robot
A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.
Armando Solar-Lezama named inaugural Distinguished Professor of Computing
EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.
AI helps household robots cut planning time in half
PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.
A new way to look at data privacy
Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
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.
Why big changes early in life can help later on
Study shows moving can help foster a more robust social network, by strengthening “long ties” with others.
Statistics, operations research, and better algorithms
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
Thirty-four community members receive 2023 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service
Prestigious awards recognize community support of MIT’s goals, values, and mission.
3 Questions: Honing robot perception and mapping
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
Building connections
PhD student Will Sussman studies wireless networks while fostering community networks.
Learning the language of molecules to predict their properties
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
MIT scientists build a system that can generate AI models for biology research
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
Researchers grow precise arrays of nanoLEDs
A new technique produces perovskite nanocrystals right where they’re needed, so the exceedingly delicate materials can be integrated into nanoscale devices.