How to verify that quantum chips are computing correctly
A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.
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A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
With its centerpiece exhibit for the forthcoming Universal Hip Hop Museum, an MIT team uses artificial intelligence to explore the rich history of hip hop music.
Using limited data, this automated system predicts a company’s quarterly sales.
The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing.
Two alumni have also been selected; the scholars will study global affairs at Beijing’s Tsinghua University.
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
Circuit design offers a path to “spintronic” devices that use little electricity and generate practically no heat.
Model quickly generates brain scan templates that represent a given patient population.
Ali Daher, Claire Halloran, Francisca Vasconcelos, Billy Andersen Woltz, and Megan Yamoah will begin postgraduate studies at Oxford University next fall.
New material should be relatively easy to produce at an industrial scale, researchers say.