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
USC computer scientists develop tools to screen agents before they act, block risky actions in real time and trace their decisions after the fact
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.
Researchers identified why audio AI models miss tone, emotion and other audio cues - and developed new solutions that dramatically improve their ability to interpret speech beyond words
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.
Through AI interpretability research, Robin Jia answers five questions about AI– from emotions and consciousness to learning, decision-making and speed
Upcoming NSF-funded study will study how doctors, journalists and software engineers interact with AI to redesign interactions that strengthen creativity and critical thinking
A new NSF-funded project will create an open-source framework that traces AI errors to their source, helping researchers and clinicians build more trustworthy medical AI systems
Thomas Lord Department of Computer Science News and Media Coverage
Through AI interpretability research, Robin Jia answers five questions about AI– from emotions and consciousness to learning, decision-making and speed
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 computer scientists develop tools to screen agents before they act, block risky actions in real time and trace their decisions after the fact
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