Brain and cognitive sciences
Brain and cognitive sciences

Brain and cognitive sciences

Alumni/ae Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) Global Mathematics McGovern Institute Mechanical engineering MIT Schwarzman College of Computing MIT Sloan School of Management School of Engineering School of Humanities Arts and Social Sciences School of Science Students

Four from MIT named 2025 Rhodes Scholars

Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.

Artificial Intelligence Awards, honors and fellowships Biology Brain and cognitive sciences Chemical engineering chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) DMSE Funding Graduate, postdoctoral MIT Schwarzman College of Computing Music Physics School of Engineering School of Humanities Arts and Social Sciences School of Science

MIT Schwarzman College of Computing launches postdoctoral program to advance AI across disciplines

The new Tayebati Postdoctoral Fellowship Program will support leading postdocs to bring cutting-edge AI to bear on research in scientific discovery or music.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Evolution Imaging Lincoln Laboratory machine learning MIT Schwarzman College of Computing Psychology Research School of Engineering School of Science

AI pareidolia: Can machines spot faces in inanimate objects?

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering School of Science

MIT researchers introduce generative AI for databases

This new tool offers an easier way for people to analyze complex tabular data.

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Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment

Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.

Aeronautical and astronautical engineering Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning Mechanical engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

A technique for more effective multipurpose robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Defense Advanced Research Projects Agency (DARPA) Department of Defense (DoD) Electrical Engineering & Computer Science (eecs) Human-computer interaction MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Natural language processing Programming Programming languages Quest for Intelligence Research Robotics School of Engineering School of Science

Natural language boosts LLM performance in coding, planning, and robotics

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

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.

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 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.