How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.
Institute for Data, Systems, and Society (IDSS)
Machine learning and the microscope
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
Community members receive 2024 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service
Staff members receive recognition for their exceptional support of the MIT community.
Study finds health risks in switching ships from diesel to ammonia fuel
Ammonia could be a nearly carbon-free maritime fuel, but without new emissions regulations, its impact on air quality could significantly impact human health.
Fotini Christia named director of the Institute for Data, Systems, and Society
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
A community collaboration for progress
Graduate student Nolen Scruggs works with a local tenant association to address housing inequality as part of the MIT Initiative on Combatting Systemic Racism.
Janabel Xia: Algorithms, dance rhythms, and the drive to succeed
When the senior isn’t using mathematical and computational methods to boost driverless vehicles and fairer voting, she performs with MIT’s many dance groups to keep her on track.
Q&A: Exploring ethnic dynamics and climate change in Africa
Professor of political science Evan Lieberman discusses his research into perceptions among African and American citizens about the climate crisis and how their governments are responding.
Growing our donated organ supply
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
Characterizing social networks
A new method to measure homophily in large group interactions offers insights into how groups might interact in the future.
Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Power when the sun doesn’t shine
With batteries based on iron and air, Form Energy leverages MIT research to incorporate renewables into the grid.
New AI model could streamline operations in a robotic warehouse
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
Automated method helps researchers quantify uncertainty in their predictions
An easy-to-use technique could assist everyone from economists to sports analysts.