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.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Ten objects on display in the Koch Institute Public Galleries offer uncommon insights into the people and progress of MIT's cancer research community.
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
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.
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.
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.
A better understanding of construction industry stakeholders’ motivations can lead to greater adoption of circular practices.
Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
Driven to solve hard problems, Associate Professor Zachary Hartwig is advancing a new approach to commercial fusion energy.
Using LLMs to convert machine-learning explanations into readable narratives could help users make better decisions about when to trust a model.
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.
The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.
Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation.
MIT engineers show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.