Recent News
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Cyber Attack Predictive Index developed at Johns Hopkins University predicts the potential for cyberattacks between nations; Tool finds 'extremely high likelihood' of attack against Ukraine by Russia
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Fourth-year Shiye (Sally) Cao has been named a Finalist for the 2022 Outstanding Undergraduate Researcher Award for her work in AI research.
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Three CS student have been selected for the Provost Undergraduate Research Award to pursue research of their choosing guided by a Hopkins mentor.
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Using AI in new ways
CategoriesAs a Master Inventor and distinguished engineer at IBM, Aaron Baughman, MS ’07, has created AI-based experiences for the U.S. Open, the Masters Tournament, ESPN fantasy football, the Grammy Awards, and others — work that, in turn, has led to some extraordinary real-life experiences.
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Making web applications safer
CategoriesNew software automatically finds 180 zero-day vulnerabilities in popular Node.js packages, including 70 Common Vulnerabilities and Exposures (CVEs).
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Creation of Johns Hopkins-led team allows worldwide scientific collaboration for studies of human genetics and health
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The William R. Kenan, Jr. Fund was established to stimulate the adoption of sound innovative teaching methods, particularly in undergraduate education. The Whiting School has re-envisioned this program to help teaching and tenure-track faculty members pursue research in engineering education.
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Capabilities of autoregressive AI models will always be limited by their inability to reason like humans, says CS PhD candidate Chu-Cheng Lin
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Results have implications for understanding human genes, says Michael Schatz, Bloomberg Distinguished Professor of Computer Science and Biology.
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"I'm interested in cracking how we can make humans supercreative with AI tools," says Carol Reily, who graduated from the department's MSE program in 2007.
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Robot programming for everyday people
CategoriesNew Demoshop software, created by roboticists in the Intuitive Computing Laboratory, makes it easier to teach robots to help in the workplace.
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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.