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Algorithms Artificial Intelligence Computer science and technology Data Human-computer interaction IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing Research School of Engineering

How to assess a general-purpose AI model’s reliability before it’s deployed

A new technique enables users to compare several large models and choose the one that works best for their task.

Artificial Intelligence Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and society

When to trust an AI model

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

Aeronautical and astronautical engineering Artificial Intelligence Cleaner industry Contests and academic competitions Data Lincoln Laboratory Satellites School of Engineering Space exploration Spaceflight Sustainability

MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space

The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data

Algorithms Analytics apps Artificial Intelligence Climate change Collaboration Computer science and technology Data Digital technology Education, teaching, academics Environment Global Human-computer interaction Internet K-12 education machine learning Media Lab MIT Schwarzman College of Computing NASA Office of Open Learning Open access Programming social media Space, astronomy and planetary science Special events and guest speakers STEM education Technology and society

“They can see themselves shaping the world they live in”

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering School of Science

MIT researchers introduce generative AI for databases

This new tool offers an easier way for people to analyze complex tabular data.

Artificial Intelligence Awards, honors and fellowships Classes and programs Collaboration Data Drug development Electrical Engineering & Computer Science (eecs) Faculty Graduate, postdoctoral Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals School of Engineering Special events and guest speakers Students SuperUROP

MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robotics Robots School of Engineering

Researchers use large language models to help robots navigate

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

Artificial Intelligence Climate Climate change Computer modeling Data EAPS machine learning Natural disasters Policy Research School of Science Weather modeling

Making climate models relevant for local decision-makers

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

Abdul Latif Jameel Poverty Action Lab (J-PAL) Algorithms Artificial Intelligence Behavior Behavioral economics Business and management Classes and programs Data Economics Electrical Engineering & Computer Science (eecs) Health Care Health sciences and technology Industry Leadership machine learning MIT Schwarzman College of Computing School of Engineering School of Humanities Arts and Social Sciences Technology and policy

A data-driven approach to making better choices

In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.

Aeronautical and astronautical engineering Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning Mechanical engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

A technique for more effective multipurpose robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better.