Skip to main content
  • For Students
  • For Industry
  • For Members
  • Accessibility
  • Login
MIT CSAIL
  • Research
  • People
  • News
  • Events
  • Symposia
  • Forum
  • About
  • Research
  • People
  • News
  • Events
  • Symposia
  • Forum
  • About
  • For Students
  • For Industry
  • For Members
  • Accessibility
  • Login
  • Contact
  • Press Requests
  • Accessibility

Search Keywords

660 results for

  • people (118)
  • groups (32)
  • projects (78)
  • (-) news (660)
  • events (438)
  • other (128)

News

HPI-MIT design research collaboration creates powerful teams

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

News

Shrinking deep learning’s carbon footprint

Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.

News

Building machines that better understand human goals

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning

News

Scaling audio-visual learning without labels

A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.

News

MIT researchers make language models scalable self-learners

The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.

News

How AI is improving simulations with smarter sampling techniques

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

News

Google Senior VP Raghavan explores the evolution of search engines at MIT CSAIL

As one of the leading scholars on search, Raghavan discussed how the World Wide Web impacted basic info retrieval and how Google is using LLMs to help redefine query results.

News

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.

News

MIT researchers introduce generative AI for databases

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

News

Making AI models more trustworthy for high-stakes settings

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
  •  Load More

MIT CSAIL

Massachusetts Institute of Technology

Computer Science & Artificial Intelligence Laboratory

32 Vassar St, Cambridge MA 02139

  • Contact
  • Press Requests
  • Accessibility
MIT Schwarzman College of Computing