News

The new $10 million program tackles underfunded AI safety challenges to ensure reliable and robust AI systems.

Hopkins researchers introduce a new machine learning method that helps AI trained in simulated environments perform better in the real world.

Researchers’ new tool exposes how easily AI’s hidden instructions can be extracted.

Johns Hopkins scientists say the innovation could bring “new fruits, foods, and flavors” to an expanded global agricultural marketplace.

The Whiting School’s Teaching, Advising, and Mentoring Awards are an opportunity to recognize its outstanding teachers and mentors and the many contributions they have made to the school for the benefit of its students and colleagues.

The SIL program gives entrepreneurial teams access to a network of mentors, advisors, partners, and funders in Baltimore and beyond.

Johns Hopkins computer scientist Mathias Unberath, a leading expert in AI-assisted medicine, says cuts to research funding imperil the nation’s ability to attract the world’s best and brightest scientists.

Johns Hopkins researchers successfully taught an AI simulation to close incisions by breaking the complicated suturing process down into simpler subtasks.

Johns Hopkins researchers release a new standard for evaluating medical AI models to promote fairness and reduce bias.

Supported by a Challenge Grant from the Johns Hopkins Institute for Assured Autonomy, a team led by Chien-Ming Huang is investigating the conceptual and technological advances required to enable artificial agents to act with prosocial intent.

Army Lieutenant General Paul T. Stanton, Engr ’11 (PhD) recently assumed the roles of director of DISA and commander of the Joint Force Headquarters-Department of Defense Information Network.

Johns Hopkins researchers used artificial intelligence to create the largest, most comprehensive dataset of abdominal organs to date to help radiologists quickly and accurately identify tumors and other diseases.