“Deepfaking the Mind” Could Improve Brain-Computer Interfaces for People with Disabilities
Synthetic neurological data created using generative adversarial networks could speed up training of brain-computer interfaces, new study finds.
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Synthetic neurological data created using generative adversarial networks could speed up training of brain-computer interfaces, new study finds.
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A student team developed machine learning algorithms that help predict the onset of Alzheimer’s disease using speech.
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An interdisciplinary team led by USC computer science researchers is creating a faster, more reliable and more accessible system to help clinicians screen children for developmental disorders such as autism and ADHD.
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USC Viterbi students and Asli Baat vocalists put the “plus” in Engineering+.
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USC Viterbi Ph.D. student researchers have found a new way to enhance the cancer-killing properties of CAR T-cell therapies, to make them more effective in fighting tumors.
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USC Viterbi Professor Shrikanth Narayanan and his research group examined the role of music in film through a computational lens to determine how it affects the audience’s perception of genre
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USC Viterbi student Reuben Levine combines his engineering prowess with music knowledge to create a unique instrument in his own home.
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2021 USC Games Expo celebrated the work of students in the renowned USC Games Program
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At the 11th annual MEPC, the team’s vision for a silicone-based polymer shield to protect cancer patients wins the $50,000 grand prize
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Philip Fine combined his technical expertise with his negotiating savvy for his new role at the U.S. Environmental Protection Agency.
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USC ISI researchers awarded $2.2 million grant to create a novel machine learning solution for decoding cultures and informing decision making
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The $3 million grant will help develop new neurotechnology to treat neurological and mental disorders
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USC Viterbi researchers show how we might one day develop vaccines for viruses that haven’t even evolved yet
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An AI algorithm developed by Gerald Loeb would comb through millions of electronic medical records to suggest diagnoses and tests to improve patient outcomes and lower costs
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USC researchers created an algorithm that uses five biomarkers to determine which COVID-19 patients will need intensive care after hospitalization.
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USC researchers harness the power of living organisms to make materials that are strong, tolerant and resilient.
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USC researchers have harnessed a powerful mathematical model to provide advanced seizure prediction, revolutionizing epilepsy management and treatment.
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For Viterbi student Jessica Brown, engineering is about advancing well-being of our neighbors, in the places we call home.
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USC’s Intelligence and Cyber Operation Program trains students to proactively identify cybersecurity issues.
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Researchers’ “skeleton key” can unlock a brain.
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Chloroplast-Fortified 3D-Printer Ink May Strengthen Products Like Custom Sneaker Soles
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USC Researchers use biofluid dynamics (hemodynamics) that can potentially detect heart attacks in patients without chest pain and lower mortality and re-hospitalization rates for heart failure patients.
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The latest edition of the 11-year-old MEPC features 15 startup teams competing for a $50,000 grand prize.
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USC researchers are using AI to fuel more confident diagnosis of renal tumors, as well as more customized treatment for cancer patients and patients infected with COVID-19.