A new way to test how well AI systems classify text
As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.
As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.
New microparticles containing iron or iodine could be used to fortify food and beverages, to help fight malnutrition.
Lab experiments show “ionic liquids” can form through common planetary processes and might be capable of supporting life even on waterless planets.
New research can identify opportunities to drive down the cost of renewable energy systems, batteries, and many other technologies.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
Nanophotonic devices developed at MIT are compact, efficient, reprogrammable, adaptive, and able to dynamically respond to external inputs.
Study participants in an in-person tax-paying experiment in China were more likely to pay their taxes if government officials were monitoring and punishing corruption.
A new study finds parts of the brain’s visual cortex are specialized to analyze either solid objects or flowing materials like water or sand.
Device Research Lab study uncovers mechanisms behind a phenomenon that can impact civil engineering, desalination, coatings, membrane design, art conservation, and more.
This new approach could lead to enhanced AI models for drug and materials discovery.
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
An MIT study shows decreases in seed-dispersing animals can lead to a major reduction in forest carbon absorption.
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.