School of Engineering
School of Engineering

School of Engineering

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 Classes and programs Education, teaching, academics Electrical Engineering & Computer Science (eecs) Faculty Human-computer interaction Innovation and Entrepreneurship (I&E) Internet K-12 education Labor and jobs Languages Learning machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MITx Office of Open Learning Online learning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Staff Students Technology and society Vice Chancellor

MIT faculty, instructors, students experiment with generative AI in teaching and learning

At MIT’s Festival of Learning 2024, panelists stressed the importance of developing critical thinking skills while leveraging technologies like generative AI.

Administration Aeronautical and astronautical engineering Alumni/ae Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Electrical Engineering & Computer Science (eecs) Faculty Leadership MIT Schwarzman College of Computing Robotics School of Engineering

Julie Shah named head of the Department of Aeronautics and Astronautics

An expert in robotics and AI, Shah succeeds Steven Barrett at AeroAstro.

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.

Agriculture Algorithms Artificial Intelligence Bacteria Civil and environmental engineering Collaboration computer-vision Data Environment Food Funding Industry J-WAFS machine learning Mechanical engineering MIT Sea Grant School of Engineering Students Supply chains Sustainability Undergraduate Undergraduate Research Opportunities Program (UROP) Water

Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.

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.