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The new tool gives users greater control over AI agents by allowing them to trace, steer and revise their decisions in real time, attracting new funding from Microsoft.
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USC Viterbi and USC Stevens researchers at ISI find that partial internet failures are as common as complete outages and may linger unnoticed for years
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Five USC Viterbi and USC Stevens ECE PhD students join the MHI Scholars Program, bringing research interests spanning quantum computing, superconducting hardware and optical communications while working to build a more connected ECE community.
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Priya Bhasin left New Delhi for a USC Viterbi classroom in 2014. Today, as a Group Product Manager at Microsoft AI, she’s building the systems deciding what AI does next.
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USC researchers have developed customizable brain implants that could provide a clearer view of memory, movement, emotion and other complex functions
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A USC study of nearly 2,000 hours of Holocaust survivor testimony finds that smiling often signals distress, not happiness, and offers a simple clue for telling the two apart.
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A study of hundreds of thousands of suicide records finds overlooked chances to recognize distress long before a person reaches a mental health clinic – or worse
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The USC Viterbi and Stevens researchers’ automated system analyzes multilingual job postings to identify deceptive recruitment tactics, risky platforms and industries targeted by traffickers
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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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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 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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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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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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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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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 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
