The new front against antibiotic resistance
Deborah Hung shares research strategies to combat tuberculosis as part of the Department of Biology's IAP seminar series on microbes in health and disease.
Deborah Hung shares research strategies to combat tuberculosis as part of the Department of Biology's IAP seminar series on microbes in health and disease.
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
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.