Johns Hopkins researchers found that algorithms trained on manufactured data can be even better than the real thing for important surgical tasks like X-ray image analysis
Three Johns Hopkins professors and a Johns Hopkins University School of Medicine fellow have received grants for their research through the Bisciotti Foundation Translational Fund. Established with a multiyear gift from the Stephen and Renee Bisciotti Foundation, the fund provides $300,000 annually in seed money to advance Johns Hopkins discoveries on a commercial path. Recipients .
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Engineering course teaches students to harness power of AI for good
Computer scientist Mathias Unberath teaches the fundamentals of artificial intelligence and ethical approaches to using the powerful technology By Catherine Graham / Published Jan 22, 2021
Artificial intelligence is used to solve tough problems such as triaging COVID-19 patients in hospitals or helping law enforcement identify participants in the Jan. 6 insurrection at the U.S. Capitol. But AI also has enabled the proliferation of deepfakes, manipulated videos and other media created by AI algorithms that are often used to spread disinformation online.
In Machine Learning: Deep Learning, a Johns Hopkins course offered last fall by computer science Assistant Professor Mathias Unberath, undergraduate and graduate students took on the challenge of building AI systems from scratch with an eye toward solving contemporary problems. The course, which teaches students how