USC Computer Scientist Answers Five Common Questions About AI
Through AI interpretability research, Robin Jia answers five questions about AI– from emotions and consciousness to learning, decision-making and speed
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Through AI interpretability research, Robin Jia answers five questions about AI– from emotions and consciousness to learning, decision-making and speed
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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.
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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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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.
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USC Viterbi analytics and health systems management students are creating a forecasting system with an interactive analytics dashboard that helps USC Keck Medicine professionals better anticipate future patient demand and operational needs.
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USC researchers developed a technique that uses focused ultrasound to temporarily “light up” solid tumors, giving cancer-fighting immune cells a target they can finally recognize.
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By combining quantum computing with artificial intelligence, USC researchers are laying the groundwork for medical imaging tools that could help doctors diagnose cancer and plan treatments more precisely
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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
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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
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USC Viterbi analytics students are creating a new, comprehensive database so the USC Trojans football team can better access the insights needed to win on the gridiron.
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USC Viterbi’s Karmel S. Shehadeh introduces a framework to help organizations better balance procurement cost, shortages, and waste under uncertainty.
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A transformational $10 million gift from the Vizio founder and his wife creates the William Wang Technology Innovation and Entrepreneurship Hub — and may establish a new model for engineering entrepreneurship nationwide.
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AI tools developed by USC Analyzing Misinformation during the COVID 19 Pandemic finds users countering misinformation are more established, more emotional, and have larger followings than accounts spreading false claims
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Upcoming NSF-funded study will study how doctors, journalists and software engineers interact with AI to redesign interactions that strengthen creativity and critical thinking
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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
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Petroleum researchers at USC Viterbi School of Engineering have developed a low-cost system for large-scale, continuous monitoring of abandoned wells.
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First-ever open house showcases USC SERC where students are building satellites, developing space robots and preparing for the next generation of space exploration
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An NIH Trailblazer Award is supporting USC Viterbi Assistant Professor Hangbo Zhao’s research on flexible medical electronics designed to give physicians new insights into high-risk artery plaque.
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USC Viterbi researchers developed a context-aware AI system that helps robots distinguish harmless contact from risky collisions in complex environments.
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USC Viterbi researcher Yolanda Gil on the state of artificial intelligence through the 2026 AI Index.
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Ali Abbas wins the Frank P. Ramsey Medal for decades of research that has helped shape how people make complex decisions
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USC Researchers to Lead Workshops and Present Papers at RSS 2026: From Humanoid Foundation Models and Robotic Reward Learning to 3D Vision for Precision Manipulation
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USC researchers have developed a new “black box” tool to measure the softness of tumor cells, an insight that could be crucial for more effective cancer treatment.
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Researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews