MIT researchers develop an efficient way to train more reliable AI agents
The technique could make AI systems better at complex tasks that involve variability.
The technique could make AI systems better at complex tasks that involve variability.
Researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.
One of the largest MIT clubs sees itself as “the umbrella of all things related to energy and climate on campus.”
Models show that an unexpected reduction in human-driven emissions led to a 10 percent decline in atmospheric mercury concentrations.
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
Ortiz is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design.
The approach can detect anomalies in data recorded over time, without the need for any training.
New center taps Institute-wide expertise to improve understanding of, and responses to, sustainability challenges.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
A new technique enables users to compare several large models and choose the one that works best for their task.
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
Staff members receive recognition for their exceptional support of the MIT community.
Ammonia could be a nearly carbon-free maritime fuel, but without new emissions regulations, its impact on air quality could significantly impact human health.
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
Fifteen new faculty members join six of the school’s academic departments.