Biology is never simple. As researchers make strides in reading and editing genes to treat disease, for instance, a growing body of evidence suggests that the proteins and metabolites surrounding…
Generating code with execution feedback is difficult because errors often require multiple corrections, and fixing them in a structured way is not simple. Training models to learn from execution feedback…
All biological function is dependent on how different proteins interact with each other. Protein-protein interactions facilitate everything from transcribing DNA and controlling cell division to higher-level functions in complex organisms.…
The rapid growth of web content presents a challenge for efficiently extracting and summarizing relevant information. In this tutorial, we demonstrate how to leverage Firecrawl for web scraping and process…
A vast search of natural diversity has led scientists at MIT’s McGovern Institute for Brain Research and the Broad Institute of MIT and Harvard to uncover ancient systems with potential…
In today’s digital era, the way we work is rapidly evolving, yet many challenges persist. Conventional AI assistants and manual workflows struggle to keep pace with the complexity and volume…
The following is a joint announcement from the MIT Microsystems Technology Laboratories and GlobalFoundries. MIT and GlobalFoundries (GF), a leading manufacturer of essential semiconductors, have announced a new research agreement…
Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently remains challenging, as they often require extensive…
MIT Professor Markus J. Buehler has been named the recipient of the 2025 Washington Award, one of the nation’s oldest and most esteemed engineering honors. The Washington Award is conferred…
In today’s rapidly evolving AI landscape, one persistent challenge is equipping language models with robust decision-making abilities that extend beyond single-turn interactions. Traditional large language models (LLMs) excel at generating…