Explained: How to tell if artificial intelligence is working the way we want it to
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
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“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
MIT researchers create KineCAM, an instant camera that yields images that appear to move.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
The MIT School of Engineering recently honored outstanding faculty, graduate, and undergraduate students with its 2022 awards.
Longtime MIT researcher and former associate director of the Plasma Science and Fusion Center contributed to fusion energy progress on campus and around the world.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
Martin Luther King Jr. Visiting Professors and Scholars will enhance and enrich the MIT community through engagement with students and faculty.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Researchers created Exo for writing high-performance code on hardware accelerators.
BART and MARGE will reliably produce, store, and distribute 50 tons of rocket fuel per year on the surface of Mars.
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.