School of Engineering
School of Engineering

Personalization features can make LLMs more agreeable

The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.

Accelerating science with AI and simulations

Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.

Using synthetic biology and AI to address global antimicrobial resistance threat

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

AI algorithm enables tracking of vital white matter pathways

Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.

3 Questions: Using AI to help Olympic skaters land a quint

MIT Sports Lab researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

Study: Platforms that rank the latest LLMs can be unreliable

Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.

Helping AI agents search to get the best results out of large language models

EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.

Brian Hedden named co-associate dean of Social and Ethical Responsibilities of Computing

He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.

Antonio Torralba, three MIT alumni named 2025 ACM fellows

Torralba’s research focuses on computer vision, machine learning, and human visual perception.

3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.