MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Privacy Research School of Engineering

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.

Algorithms Artificial Intelligence Biology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DNA Drug development Electrical Engineering & Computer Science (eecs) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Proteins Research School of Engineering

Generative AI imagines new protein structures

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.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Data Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Robotics School of Engineering

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.

Algorithms Artificial Intelligence chemistry Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Drug discovery Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

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.

Artificial Intelligence Biological engineering Biology Broad Institute Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Mechanical engineering MIT Schwarzman College of Computing open source Research School of Engineering

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.

Artificial Intelligence Brain and cognitive sciences Computer modeling computer-vision McGovern Institute MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Quest for Intelligence Research School of Engineering School of Science

When computer vision works more like a brain, it sees more like people do

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

Aeronautical and astronautical engineering Artificial Intelligence Classes and programs Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Department of Defense (DoD) Education, teaching, academics Electrical Engineering & Computer Science (eecs) Government Leadership machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Office of Open Learning School of Engineering Security studies and military

Educating national security leaders on artificial intelligence

Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.

Artificial Intelligence Assistive technology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Science communications

Researchers teach an AI to write better chart captions

A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.