News

New Demoshop software, created by roboticists in the Intuitive Computing Laboratory, makes it easier to teach robots to help in the workplace.

Vladimir Braverman, an associate professor and member of JHU’s Institute for Data Intensive Engineering and Science, and Alan Liu, PhD ’18, developed a new strategy for managing website traffic that has been adopted by the Intel software stack.

Interactive online platform allows users to simulate how different public health measures might affect COVID-19 infection outcomes in a typical Midwestern town of about 6,000 people.

Robots helped hospitals confront the coronavirus pandemic. What lessons are engineers taking with them as they think about the next generation of health care robots?

From tomatoes to cancer cells, Michael Schatz and others at Johns Hopkins go deep inside genomes to unlock the secrets to life’s variety.

Suchi Saria and team provide a roadmap to accelerate safe, ethically responsible applications of machine learning in health care.

Their new distributed caching mechanism won a Best Paper Award at the USENIX Conference on File and Storage Technologies earlier this year.

They will explore how human-machine teaming can help mitigate some of the biggest problems facing the U.S health care system.

Using existing smartphone components—including the microphone, touchscreen, and accelerometer—the app gathers valuable diagnostic data in a non-clinical setting.