Sending clearer signals
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
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.
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.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Using limited data, this automated system predicts a company’s quarterly sales.
Weekend robotics workshops help middle and high school girls dispel “computing phobia.”
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
A new computational imaging method could change how we view hidden information in scenes.
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.
The inaugural dean shares an update on the process of building a college.
Model quickly generates brain scan templates that represent a given patient population.
Lam Research Tech Symposium, co-hosted by MIT.nano and Microsystems Technology Lab, explores challenges, opportunities for the future of the industry.