School of Engineering
School of Engineering

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

MIT researchers introduce generative AI for databases

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

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.

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.

Understanding the visual knowledge of language models

LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.

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.

Technique improves the reasoning capabilities of large language models

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.

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.

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.

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.