MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

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

Scientists use generative AI to answer complex questions in physics

A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Game theory Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research Robotics School of Engineering

Using ideas from game theory to improve the reliability of language models

A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.

apps Artificial Intelligence Education, teaching, academics Electrical Engineering & Computer Science (eecs) Global History of MIT History of science K-12 education Media Lab MIT Schwarzman College of Computing Online learning Open access open source Programming School of Architecture and Planning School of Engineering STEM education

The power of App Inventor: Democratizing possibilities for mobile applications

More than a decade since its launch, App Inventor recently hosted its 100 millionth project and registered its 20 millionth user. Now hosted by MIT, the app also supports experimenting with AI.

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 Robots School of Engineering

A better way to control shape-shifting soft robots

A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.

Artificial Intelligence Business and management Careers Community Ethics History of science Human-computer interaction Innovation and Entrepreneurship (I&E) Invention Labor and jobs machine learning MIT Schwarzman College of Computing MIT Sloan School of Management President Sally Kornbluth School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Sustainability Technology and society

President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI

The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.

Artificial Intelligence Computer graphics Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Faculty Games Information systems and technology machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Profile Programming Programming languages School of Engineering Video

Creating bespoke programming languages for efficient visual AI systems

Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.

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.