Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
Exploring and applying concepts from different disciplines provides broad knowledge and hands-on practice for real-world application.
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
The nitrogen product developed by the company, which was co-founded by Professor Chris Voigt, is being used across millions of acres of American farmland.
Professors Maria Yang and Kenneth Oye are honored as “Committed to Caring” for their mentorship of graduate students.
Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.
New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
How the late Woodie Flowers helped create a new foundation for “the MIT way” of teaching.
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.