New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
“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.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
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.
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.
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The brilliant scientist was known for both the depth of his intellect and his kindness.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.