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.

Using limited data, this automated system predicts a company’s quarterly sales.

Biologists uncover an evolutionary trick to control gene expression that reverses the flow of genetic information from RNA splicing back to transcription.

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.

Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.

Study offers models for preserving the privacy of citizens while using their data to improve government services.

Brian Anthony, co-leader of SENSE.nano, discusses sensing for augmented and virtual reality and for advanced manufacturing.