MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
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.
Daniela Rus wins John Scott Award
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
Introducing MIT HEALS, a life sciences initiative to address pressing health challenges
The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.
Citation tool offers a new approach to trustworthy AI-generated content
Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation.
So you want to build a solar or wind farm? Here’s how to decide where.
MIT engineers show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.