Computer Science and Artificial Intelligence Laboratory (CSAIL)
Computer Science and Artificial Intelligence Laboratory (CSAIL)

Computer Science and Artificial Intelligence Laboratory (CSAIL)

Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions EAPS Electrical engineering and computer science (EECS) Ethics Health Care Human-computer interaction IDSS Inequality Microbiome MIT Schwarzman College of Computing School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society Urban studies and planning Woods Hole Writing

Envisioning a future where health care tech leaves some behind

The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.

Algorithms Alumni/ae Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Innovation and Entrepreneurship (I&E) machine learning MIT Schwarzman College of Computing Neuroscience School of Engineering Startups

Teaching AI models what they don’t know

A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.

Algorithms Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Research School of Engineering Visual arts

Teaching AI models the broad strokes to sketch more like humans do

SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering Video

AI learns how vision and sound are connected, without human intervention

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Diagnostics Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

Study shows vision-language models can’t handle queries with negation words

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Research School of Engineering Video

Hybrid AI model crafts smooth, high-quality videos in seconds

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Neuroscience Research School of Engineering

Novel AI model inspired by neural dynamics from the brain

New type of “state-space model” leverages principles of harmonic oscillators.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Finance Health Care Imaging machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

Making AI models more trustworthy for high-stakes settings

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

Aeronautical and astronautical engineering Artificial Intelligence Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Electrical engineering and computer science (EECS) Energy Europe Global Innovation and Entrepreneurship (I&E) International initiatives Mechanical engineering MIT Portugal MIT Schwarzman College of Computing Nanoscience and nanotechnology Oceanography and ocean engineering Research School of Engineering Space Sustainability Woods Hole

The MIT-Portugal Program enters Phase 4

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

“Periodic table of machine learning” could fuel AI discovery

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.