News

Johns Hopkins researchers investigate how machine learning classifiers can be made more resistant to adversarial attacks on their input.

CS students mingled with peers and heard from distinguished alumni at FastForward U’s Computer Science + Entrepreneurship Networking event.

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.

Hopkins researchers have leveraged the synergy between medical professionals and artificial intelligence algorithms to create the largest annotated multi-organ dataset to date.

Researchers release a new algorithm that promises to help restructure the human reference genome into a more powerful—and inclusive—graph-based representation.

Data gathered using software developed by Johns Hopkins University computer scientists will have “huge implications” for understanding human health and evolution.

The distinction recognizes the top 1% of ACM members for their transformative contributions to computing science and technology.

Students from the Baltimore Polytechnic Institute visited the Advanced Robotics and Computationally AugmenteD Environments (ARCADE) Lab last month.

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.

Get to know Renjie Zhao, who joins Johns Hopkins as an assistant professor of computer science.

Get 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.

Johns Hopkins computer scientists demonstrate that yes-or-no questions can aid in the usability of semantic parsing models.