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

Electrical engineering and computer science (EECS)

Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Electronics Internet Of Things Lincoln Laboratory machine learning MIT Schwarzman College of Computing Mobile devices National Science Foundation (NSF) Optics Photonics Research Research Laboratory of Electronics School of Engineering Wireless

Photonic processor could streamline 6G wireless signal processing

By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.

Artificial Intelligence Books and authors Collaboration Computer science and technology Covid-19 Data Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty IDSS Laboratory for Information and Decision Systems (LIDS) Leadership machine learning MIT Schwarzman College of Computing Pandemic School of Engineering Statistics Technology and policy Technology and society

Melding data, systems, and society

A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles Computer science and technology Drones Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robotics School of Engineering

AI-enabled control system helps autonomous drones stay on target in uncertain environments

The system automatically learns to adapt to unknown disturbances such as gusting winds.

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.

Alumni/ae Artificial Intelligence Computer science and technology computer-vision Electrical engineering and computer science (EECS) Innovation and Entrepreneurship (I&E) machine learning OpenCourseWare School of Engineering Startups

Helping machines understand visual content with AI

Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.

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 technology Data Electrical engineering and computer science (EECS) Graduate, postdoctoral Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing OpenCourseWare Profile School of Engineering Students Systems design

An anomaly detection framework anyone can use

PhD student Sarah Alnegheimish wants to make machine learning systems accessible.

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.

Algorithms Artificial Intelligence Behavior Behavioral economics Computer science and technology Data Economics Electrical engineering and computer science (EECS) Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering School of Humanities Arts and Social Sciences Technology and society

The sweet taste of a new idea

Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.