Artifacts from a half-century of cancer research
Ten objects on display in the Koch Institute Public Galleries offer uncommon insights into the people and progress of MIT's cancer research community.
In a unique research collaboration, students make the case for less e-waste
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
Teaching a robot its limits, to complete open-ended tasks safely
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
AI in health should be regulated, but don’t forget about the algorithms, researchers say
In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.
Students strive for “Balance!” in a lively product showcase
New products presented at the 2.009 prototype launch included a crash-detecting bicycle helmet, an augmented reality mask for divers, and a respirator for wildland firefighters.
Enabling a circular economy in the built environment
A better understanding of construction industry stakeholders’ motivations can lead to greater adoption of circular practices.
Noninvasive imaging method can penetrate deeper into living tissue
Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.
Researchers reduce bias in AI models while preserving or improving accuracy
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
Transforming fusion from a scientific curiosity into a powerful clean energy source
Driven to solve hard problems, Associate Professor Zachary Hartwig is advancing a new approach to commercial fusion energy.
Enabling AI to explain its predictions in plain language
Using LLMs to convert machine-learning explanations into readable narratives could help users make better decisions about when to trust a model.