Machine learning and the microscope
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
Reasoning skills of large language models are often overestimated
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
When to trust an AI model
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space
The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected 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.
Empowering future innovators through a social impact lens
The IDEAS Social Innovation Challenge helps students hone their entrepreneurship skills to create viable ventures for public good.
A new way to miniaturize cell production for cancer treatment
A chip the size of a pack of cards uses fewer resources and a smaller footprint than existing automated manufacturing platforms and could lead to more affordable cell therapy manufacturing.
MIT researchers introduce generative AI for databases
This new tool offers an easier way for people to analyze complex tabular data.
MIT engineers find a way to protect microbes from extreme conditions
By helping microbes withstand industrial processing, the method could make it easier to harness the benefits of microorganisms used as medicines and in agriculture.
Studying astrophysically relevant plasma physics
Thomas Varnish has always loved a hands-on approach to science. Research in lab-based astrophysics has enabled the PhD student to experiment in a heavily theoretical subject.
Signal processing: How did we get to where we’re going?
In a retrospective talk spanning multiple decades, Professor Al Oppenheim looked back over the birth of digital signal processing and shared his thoughts on the future of the field.
How to increase the rate of plastics recycling
A national bottle deposit fee could make a dramatic difference in reducing plastic waste, MIT researchers report.
Pioneering the future of materials extraction
MIT spinout SiTration looks to disrupt industries with a revolutionary process for recovering and extracting critical materials.