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Niyati Bafna, Krithika Ramesh, and Zheyuan “Brian” Zhang were selected based on their outstanding publication records, research proposals, and mentor support.

A panel of AI experts discussed the difficulties of governing the rapidly growing technology as part of the Johns Hopkins University’s Next Conversations series.

Alexis Battle, Vladimir Braverman, and Benjamin Van Durme will help guide the institute’s strategic growth and strengthen interdisciplinary collaboration across Johns Hopkins.

The ACM Conference on Human-AI Complementarity and Alignment is the premier venue for disseminating the latest research findings on human-AI complementarity and alignment.

Assistant Professor Zongwei Zhou has received a competitive translational funding award from Johns Hopkins Technology Ventures to develop AI infrastructure in support of early cancer detection.

The latest winning SURPASS projects unite experts from the Johns Hopkins University’s Whiting School of Engineering and Applied Physics Laboratory to solve world-changing problems.

The pre-workshop was organized by Johns Hopkins Computer Science faculty in advance of the 35th USENIX Security Symposium.

The Symposium on Experimental Algorithms explores the role of experimentation and engineering techniques in the design and evaluation of algorithms and data structures.

Newly funded teams will lead programs to develop autonomous robots to deliver curative stroke treatment.

Bestowed by the Institute of Electrical and Electronics Engineers, this prestigious award recognizes Taylor’s contributions to, leadership in, and translation of surgical and medical robotics.

The four-year R01 grant will fund the development of AI algorithms capable of detecting three types of abdominal cancers on CT scans, enabling earlier diagnosis and treatment.

The ability to quickly and affordably survey a patient’s entire genome is expected to accelerate research, diagnostics, and precision medicine.