Recent News
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The special issue on “Surgical Robotics and Computer-Integrated Interventional Medicine” provides an expert overview of the major application areas as well as the key enabling technologies in the growing field of surgical robotics.
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A student-created app brings the biology lab experience to users' smartphones, paving the way for a more accessible lab education.
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Flawed AI makes robots racist, sexist
CategoriesNew work led by several universities, including Johns Hopkins, shows that neural networks built from biased Internet data teach robots to enact toxic stereotypes.
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Scientists at Johns Hopkins University and Scripps Research have characterized 30 antibodies that recognize a wide range of coronaviruses - a step toward the next generation of coronavirus vaccines, which may help defend against a broader swath of viruses than current vaccines.
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In largest personalized immunogenetics study to date, computer scientist Yana Safonova discovers the DNA sequences that control vaccine response in cows, opening the door for further immunogenetics research in humans.
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The Hopkins team, which includes computer scientists Michael Schatz and Steven Salzberg, contributed key research to the effort, which will provide a clearer picture of how DNA affects the risks of diseases and how genes are expressed and regulated.
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ProbeTheProto framework developed by computer scientist Yinzhi Cao helps identify and alert websites vulnerable to a flaw that allows malicious actors to 'pollute' important web code.
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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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Creation of Johns Hopkins-led team allows worldwide scientific collaboration for studies of human genetics and health
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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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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.