MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

Artificial Intelligence Brain and cognitive sciences Graduate, postdoctoral Media Lab Mental health MIT Schwarzman College of Computing Music Music and theater arts Neuroscience Profile School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Undergraduate Research Opportunities Program (UROP)

Blending neuroscience, AI, and music to create mental health innovations

Media Lab PhD student Kimaya Lecamwasam researches how music can shape well-being.

Artificial Intelligence Collaboration Computer science and technology Electrical engineering and computer science (EECS) Funding International initiatives MIT Schwarzman College of Computing Research School of Engineering Technology and society

MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI

The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.

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

Using generative AI to diversify virtual training grounds for robots

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Algorithms Artificial Intelligence Climate change Computer science and technology Electric grid Electrical engineering and computer science (EECS) Energy Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile Renewable energy School of Engineering Sustainability Technology and policy

Fighting for the health of the planet with AI

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Algorithms Antibiotics Artificial Intelligence Bacteria Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Drug development Drug discovery Electrical engineering and computer science (EECS) Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Viruses

AI maps how a new antibiotic targets gut bacteria

MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.

Algorithms Artificial Intelligence Climate change Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Emissions Energy Energy storage Infrastructure Lincoln Laboratory machine learning MIT Energy Initiative MIT Schwarzman College of Computing MIT Sloan School of Management Research School of Engineering Supercomputing Sustainable computing

Responding to the climate impact of generative AI

Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.

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

New AI system could accelerate clinical research

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Industry machine learning MIT Schwarzman College of Computing MIT Sloan School of Management President Sally Kornbluth Provost Research Robotics School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Technology and society

What does the future hold for generative AI?

At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.

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

How to build AI scaling laws for efficient LLM training and budget maximization

MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.