USC Viterbi Thomas Lord Department of Computer Science
USC Study Used Sweat, Brain Signals, Eye Movements and AI to Detect Depression and Suicide Risk
Researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews
Learn More

Computer Science News
USC Viterbi researchers developed a context-aware AI system that helps robots distinguish harmless contact from risky collisions in complex environments.
USC Viterbi researcher Emilio Ferrara has built a tool that can map communities inside massive social, biological, and financial networks faster and smarter than anything that came before.
New study is first to develop algorithm that learns an individual's preferred vibration patterns, opening the door to personalized haptic experiences in gaming, mental health and automobiles
Thomas Lord Department of Computer Science News and Media Coverage

Upcoming NSF-funded study will study how doctors, journalists and software engineers interact with AI to redesign interactions that strengthen creativity and critical thinking

New study is first to develop algorithm that learns an individual’s preferred vibration patterns, opening the door to personalized haptic experiences in gaming, mental health and automobiles
View all News | Media Coverage







