Tool predicts how fast code will run on a chip
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
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.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Biologists uncover an evolutionary trick to control gene expression that reverses the flow of genetic information from RNA splicing back to transcription.
Initiative will support efforts to inform policy with scientific research.
Lam Research Tech Symposium, co-hosted by MIT.nano and Microsystems Technology Lab, explores challenges, opportunities for the future of the industry.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
Systems “learn” from novel dataset that captures how pushed objects move, to improve their physical interactions with new objects.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
Move over, Alexa and Siri. Talking Mabu robot provides one-to-one support while relaying information to doctors.
Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.
TX-GAIA is tailor-made for crunching through deep neural network operations.
Study offers models for preserving the privacy of citizens while using their data to improve government services.
MIT PhD student explores the impact of scientists being "scooped" when a competing research team publishes results first, a concern for many disciplines.