News

New research reveals that AI can’t perceive humans’ unspoken desires and goals as easily as we do.

This year’s WebMD Health Hero Awards recognize individuals who are leveraging AI to transform health care.

Johns Hopkins researchers partnered with a local imaging device company to develop an efficient, real-time lumbar puncture guidance system.

Jieneng Chen and Benjamin Killeen were recognized for their exemplary achievement in academia, research, and leadership.

Apps promoting accessibility took center stage at this year’s HopHacks coding marathon, which challenges college students from across the country to design projects that address critical issues like health care access and human safety.

The Computational Cognition, Vision, and Learning group will present 8 new papers at the 2024 European Conference on Computer Vision.

The award will support his research on using large language models to build clinical question-answering systems that preserve patient privacy.

The prize recognizes PhD students who exemplify Robbins’ legacy through their outstanding achievement in high-performance computing.

A research team including Ziang Xiao has found that popular large language models like GPT-4 cannot yet accurately simulate the real world.

A Johns Hopkins-led interinstitutional research team will develop a novel photoacoustic endoscope and fluorescent contrast agent to ensure total tumor removal and preservation of healthy tissue.

Inspired by human learning patterns, Johns Hopkins computer scientists have developed a new technique to train AI models on massive amounts of medical data without forgetting what they’ve already learned.

For 10 weeks this summer, participating students worked 40 hours a week at nonprofits, government agencies, and companies around the city.