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
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Computer Science News
An award-winning study from the USC Institute for Creative Technologies and the US Army Research Laboratory applies natural language dialogue to help humans and intelligent systems coordinate knowledge and achieve shared goals.
USC AI researcher and robotics pioneer find that LLMs can make human-like predictions by observing players in social games but struggle to learn from experience and apply what they learn to new situations
When USC Viterbi researchers developed a way to look inside a powerful AI model, they found evidence that it had independently learned one of chemistry's most fundamental concepts: the chemical bond.
Thomas Lord Department of Computer Science News and Media Coverage

USC AI researcher and robotics pioneer find that LLMs can make human-like predictions by observing players in social games but struggle to learn from experience and apply what they learn to new situations
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