News

Hopkins Engineering and Medicine researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition.

Tamas Budavári and Amitabh Basu's approach will be invaluable for handling large-scale astronomical surveys. 

Whiting experts weigh in on pressing questions about health and safety indoors.

Jeremy Brown writes in Science Robotics on involving end users in the early brainstorming phase.

In collaboration with NIH and Lumo Imaging, Hopkins researchers demonstrate a computer vision framework to track the evolution of skin lesions over time in total-body photography.

130 attendees from 35 countries share expertise in Thomas Gernay's modeling tool.

A Hopkins Engineering–led team found a way to deliver clear pictures of anyone's internal anatomy, no matter their skin tone.

Lanier Watkins and Louis Whitcomb develop a model that uses autonomous decision-making to make the skies safer.

HopHacks brings college students to Johns Hopkins University every year to 'hack' together solutions to real-world problems in just 36 hours.

Inspired by journalists, Hopkins researchers discover a new technique to ground a large language model's answers in reality.

Hopkins computer scientists propose a simple solution for a common multilingual language model pitfall.

The 3D-digital replica of a patient’s heart can help development treatments for ARVC based on their individual genetics.