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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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With an expanded role in NSF AI4OPT’s second phase, USC will lead AI for Optimization research, bring together a larger interdisciplinary team and host the Seth Bonder summer camp
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Four USC Viterbi researchers selected for the Argonne National Laboratory extreme-scale computing program are learning how to run complex scientific simulations on the world’s most powerful supercomputers.
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USC Viterbi and USC Stevens researchers trace a costly, invisible bias in AI systems back to a single factor: your address
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USC Viterbi and USC Stevens researchers identified a loophole in content moderation reporting regulation and proposed a statistical solution later reflected in updated European Union policy
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USC Viterbi and USC Stevens researchers at ISI found that many cybersecurity research artifacts carrying top-tier evaluation badges were difficult to find, install or run
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USC researchers are building ALICE to test whether chatbots give people medical information that is accurate, complete and safe to act on
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Five ideas from USC Viterbi Dean (Interim) Gaurav Sukhatme’s Marketplace Tech conversation that explore the role of universities in the age of AI.
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A USC-led collaboration has received Department of Energy Genesis Mission funding to develop an AI framework for unprecedented high-fidelity turbulence simulation.
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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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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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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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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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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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Researchers analyzed biomarkers that could help psychiatrists identify at-risk individuals earlier and more objectively, supplementing existing self-report surveys and clinical interviews