Electrical engineering and computer science (EECS)
Electrical engineering and computer science (EECS)

Electrical engineering and computer science (EECS)

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Funding Human-computer interaction Industry Innovation and Entrepreneurship (I&E) Labor and jobs MIT Schwarzman College of Computing MIT Sloan School of Management Open access open source Privacy Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Semiconductors Technology and policy Technology and society

Introducing the MIT Generative AI Impact Consortium

The consortium will bring researchers and industry together to focus on impact.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Programming Research

User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

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

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Drug development Drug discovery Electrical engineering and computer science (EECS) IDSS Jameel Clinic machine learning Mathematics Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

Algorithms Artificial Intelligence Cleaner industry Climate Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data DMSE Electrical engineering and computer science (EECS) Emissions Energy Environment Human-computer interaction machine learning MIT Schwarzman College of Computing School of Engineering Sustainability Sustainable computing Water

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Health Care Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Profile School of Engineering social media Technology and society

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Health Care Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Profile School of Engineering social media Technology and society

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

Artificial Intelligence Arts Economics Electrical engineering and computer science (EECS) Innovation and Entrepreneurship (I&E) machine learning MIT Schwarzman College of Computing School of Engineering School of Humanities Arts and Social Sciences Startups

Making the art world more accessible

The startup NALA, which began as an MIT class project, directly matches art buyers with artists.

Algorithms Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines 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 Music Research School of Engineering School of Science

Teaching AI to communicate sounds like humans do

Inspired by the mechanics of the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Drug discovery Electrical engineering and computer science (EECS) Jameel Clinic Mathematics Research School of Engineering School of Science Viruses

A new computational model can predict antibody structures more accurately

Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.