Algorithms
Algorithms

Algorithms

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Language machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Quest for Intelligence Research School of Engineering

Reasoning skills of large language models are often overestimated

New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.

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.

Algorithms Artificial Intelligence Electrical Engineering & Computer Science (eecs) Language machine learning MIT Schwarzman College of Computing School of Engineering

Helping nonexperts build advanced generative AI models

MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.

Algorithms Artificial Intelligence Chemical engineering chemistry Computer science and technology Defense Advanced Research Projects Agency (DARPA) Drug development Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

A smarter way to streamline drug discovery

The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Imaging machine learning MIT Schwarzman College of Computing Research School of Engineering

New algorithm discovers language just by watching videos

DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.

3-D printing Algorithms Artificial Intelligence Automation computer-vision Imaging machine learning Materials science and engineering Mechanical engineering Renewable energy Research School of Engineering Solar Sustainability

New computer vision method helps speed up screening of electronic materials

The technique characterizes a material’s electronic properties 85 times faster than conventional methods.

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.

Algorithms Artificial Intelligence Cambridge, Boston and region Classes and programs Data Graduate, postdoctoral Housing IDSS MIT Schwarzman College of Computing Policy Profile Racism School of Architecture and Planning Social justice Students Undergraduate Research Opportunities Program (UROP) Urban studies and planning

A community collaboration for progress

Graduate student Nolen Scruggs works with a local tenant association to address housing inequality as part of the MIT Initiative on Combatting Systemic Racism.