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UCR computer scientists team up with Google scientists to develop an artificial intelligence model that detects fake videos — even when manipulations go far beyond face swaps and altered speech.
The promise of a new type of computer chip that could reshape the future of artificial intelligence and be more environmentally friendly is explored in a technology review paper published by UC Riverside engineers in the journal Device.
A UC Riverside computer science team has developed a sensor-based technology that could revolutionize commercial beekeeping by reducing colony losses and lowering labor costs. Called the Electronic Bee-Veterinarian, or EBV, the technology uses low-cost heat sensors and forecasting models to predict when hive temperatures may reach dangerous levels. The system...
Computer processing demands for artificial intelligence, or AI, are spurring increasing levels of deadly air pollution from power plants and backup diesel generators that continuously supply electricity to the fast-growing number of computer processing centers. This air pollution, a new UCR and Caltech study estimates, is expected to result in...
GAANN fellowships from the Department of Education will support students pursuing research in areas of national need
UCR computer scientists identify method identified to double computer processing speed using existing hardware
UC Riverside computer scientists have identified a security flaw in vision language artificial intelligence (AI) models that can allow bad actors to use AI for nefarious purposes, such as obtaining instructions on how to make bomb. When integrated with models like Google Bard and Chat GPT, vision language models allow...
Headset hardware and virtual keyboard interfaces that immerse us into expanding worlds of virtual reality also create new opportunities for hackers, UCR computer scientists find studies to be presented at a national cyber security conference.
A study led by University of California, Riverside, computer scientists found that queries for medical information on ChatGPT produced more objective information than Google, but the ChatGPT results can be outdated and lack the sources of its information.
Artificial Intelligence, beyond the hype and hysteria in headlines today, plays a growing role in daily life and business – with uses ranging from predictive text to Netflix recommendations to the detection of bank fraud. Much of that progress is thanks to researchers on the cutting edge of complex scientific...
UC Riverside engineers are developing methods to keep self-driving cars and autonomous drones from being hacked
Two-pronged technique detects manipulated facial expressions and identity swaps
A new technique can incorporate customer behavior into recommendation algorithms
WildfireDB contains over 17 million data points that capture how fires have spread in the contiguous United States over the last decade
Tool fools malware twice and can trick it into revealing itself
Generative adversarial networks are being used to predict the structure of antibodies that could neutralize a previously unknown virus
Computer scientists use Google Trends and a government dataset to track symptoms and sift through misinformation
“Airhead” robot uses pneumatic RAM to play piano
Systematic review of apps finds need for evidence-based chatbots that have undergone end user evaluation
Algorithmic bias is one problem the program will tackle
