MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Functional magnetic resonance imaging (fMRI) image processing Imaging machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Research School of Engineering

Mapping the brain pathways of visual memorability

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

Artificial Intelligence Computer science and technology cybersecurity Data Electrical Engineering & Computer Science (eecs) Electronics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Privacy Research School of Engineering

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

Algorithms Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

To build a better AI helper, start by modeling the irrational behavior of humans

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

Algorithms Artificial Intelligence Business and management Center for Transportation and Logistics Interview machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab Research School of Engineering Staff Supply chains Transportation

3 Questions: Enhancing last-mile logistics with machine learning

MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.

Administration Aeronautical and astronautical engineering Artificial Intelligence Brain and cognitive sciences Cambridge, Boston and region Campus buildings and architecture Chemical engineering Community Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology EAPS Education, teaching, academics Electrical Engineering & Computer Science (eecs) Facilities Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab Music and theater arts Nuclear science and engineering Political science Quest for Intelligence School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and society Urban studies and planning

A crossroads for computing at MIT

The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Health Care Imaging machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

New AI method captures uncertainty in medical images

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A faster, better way to prevent an AI chatbot from giving toxic responses

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

Antibiotics Artificial Intelligence Bacteria Biological engineering Drug discovery Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria

Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

Artificial Intelligence Biological engineering Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) DNA Electrical Engineering & Computer Science (eecs) MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Proteins Research School of Engineering School of Science

A new computational technique could make it easier to engineer useful proteins

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.

Administration Algorithms Artificial Intelligence Community Computer science and technology Electrical Engineering & Computer Science (eecs) Faculty Funding Grants machine learning MIT Schwarzman College of Computing President Sally Kornbluth Provost Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and policy Technology and society

Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.