Algorithms
Algorithms

Algorithms

Algorithms Artificial Intelligence Data Ethics Faculty Graduate, postdoctoral Health Care Human-computer interaction machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy Political science Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing meaning into technology deployment

The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering Software Technology and society

Inroads to personalized AI trip planning

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

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.

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.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Data Electric grid machine learning MIT Schwarzman College of Computing NASA Networks Research School of Engineering Software Transportation

Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

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.

Algorithms Artificial Intelligence Autonomous vehicles Civil and environmental engineering Computer science and technology Data Emissions IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Traffic management Transportation

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.