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Alessa Carbo’s AI-powered translation of sign language videos earned her first authorship at a major natural language processing conference.

The winning paper presents a software tool for quickly and accurately identifying which species’ DNA are present in a sample.

The award honors his extraordinary dedication to the university’s teaching mission, exceptional performance in the classroom, and continuing commitment to tomorrow’s leaders.

The AstroID database allows researchers anywhere to study multiple types of cancer data in one setting.

The Changemakers list recognizes 50 female leaders around the world who are impacting society, challenging established business practices, and driving industry-wide change.

Four computer science students have been selected for Provost’s Undergraduate Research Awards to pursue research of their choosing, guided by a Hopkins mentor.

The Conference on Language Modeling is an academic venue focused on the study of language modeling with the goal of creating a community of researchers focused on understanding, improving, and critiquing the development of LM technology.

The students placed first in the Arize AI Sponsor Track, earning them a $1,000 cash prize.

The forum focuses on advancing networking technology by encouraging innovative cross-domain studies, research, early deployment, and large-scale pilot showcases that address the challenges of future networks and applications for the benefit of society.

Johns Hopkins researchers develop a novel neural network with the potential to improve sign language processing.

Battle specializes in unlocking secrets of the human genome, using machine learning to analyze large-scale genomic sequencing data to understand the impact of genetic variation on the human body.

The sustainable method developed by researchers at Johns Hopkins and Microsoft simulates risks within large language models to prevent harm before they go live.