Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Undergraduates put their ideas on the line in a competition showcasing novel, consequential applications of nuclear science and engineering.
New test rapidly evaluates the effect of drugs and potentially toxic compounds on cells.
Microscopy technique could help researchers design safer reactor vessels or hydrogen storage tanks.
Professors Cullen Buie, Hadley Sikes, and Justin Steil are honored with the Committed to Caring Award.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
Approach developed by MIT engineers surmounts longstanding problem of light scattering within biological tissue and other complex materials.
Undergraduate researchers discussed their projects at a well-attended poster session.
Low-cost sensors on Hawaii's Kilauea volcano provide an educational resource and give insight into air quality across Big Island.
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Soft, squishy device could potentially track ulcers, cancers, and other GI conditions over the long term.
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
MIT spinoff Raptor Maps uses machine-learning software to improve the maintenance of solar panels.
NASA’s OSIRIS-REx sample-return spacecraft, carrying MIT instrument, arrived at asteroid in December; now begins the science to select a sampling location.