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To help ensure safety and security for patients, the team developed an open-source platform to standardize medical device cybersecurity education.

The students placed first in the Arize AI Sponsor Track, earning them a $1,000 cash prize.

Two doctoral candidates from the Department of Computer Science received two-year fellowships through the new program.

Pengyu “Steven” Kan’s research on predicting biological brain age was recognized by both an oral presentation and a Poster Award.

Information Processing in Medical Imaging is a conference held every two years focused on the fields of applied mathematics, computer science, image processing, and image analysis.

Blue Jay Racing achieved a breakthrough third-place finish while developing self-driving technology for its off-road competition vehicle.

Johns Hopkins computer scientists tackle a sometimes dangerous language model flaw that misunderstands words like “don’t” and “no.”

Recent capstone projects targeted vulnerabilities in AI systems and smart devices.

SocIoTy connects common home devices to your phone to provide extra security.

A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.

Mathias Unberath’s Future Faculty course equips PhD students and postdoctoral scholars with the knowledge they need to enter the academic job market.

Johns Hopkins researchers release a new standard for evaluating medical AI models to promote fairness and reduce bias.