Recent News
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These projects include technology and non-technology components and are informed by guidance from faculty and industry mentors.
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Johns Hopkins researchers investigate how machine learning classifiers can be made more resistant to adversarial attacks on their input.
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The business of coding
CategoriesCS students mingled with peers and heard from distinguished alumni at FastForward U’s Computer Science + Entrepreneurship Networking event.
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To combat the machine learning phenomenon known as “shortcut learning,” researchers from Johns Hopkins and the FDA have developed a data-screening method to identify potential hazardous shortcuts these models may take down the line.
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Hopkins researchers have leveraged the synergy between medical professionals and artificial intelligence algorithms to create the largest annotated multi-organ dataset to date.
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Researchers release a new algorithm that promises to help restructure the human reference genome into a more powerful—and inclusive—graph-based representation.
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Data gathered using software developed by Johns Hopkins University computer scientists will have “huge implications” for understanding human health and evolution.
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The distinction recognizes the top 1% of ACM members for their transformative contributions to computing science and technology.
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Students from the Baltimore Polytechnic Institute visited the Advanced Robotics and Computationally AugmenteD Environments (ARCADE) Lab last month.
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Johns Hopkins and Columbia University computer scientists teamed up to combat the inaccurate correlations that artificial intelligence and machine learning models learn from text data.
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New faculty Q&A: Renjie Zhao
CategoriesGet to know Renjie Zhao, who joins Johns Hopkins as an assistant professor of computer science.
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New faculty Q&A: Anjalie Field
CategoriesGet to know Anjalie Field, who joins Johns Hopkins as an assistant professor of computer science and a member of the Center for Language and Speech Processing.