Authoritarian regimes exert control over the internet through transit networks that operate largely out of public view, according to a recent study by researchers in the U.S. and Germany. The work, published in PNAS Nexus, also shows how more sophisticated authoritarian regimes extend their influence by providing network access in poorer but politically similar countries.
As artificial intelligence gains momentum, University of California researchers are identifying discrimination in the algorithms that are shaping our society, devising solutions, and helping build a future where computers do us less harm and more good.
Researchers at the UC Davis Coffee Center in the College of Engineering, through a partnership with cloud service provider Fabscale, have engineered a new way to analyze coffee for quality control, at a low cost. Their new photo-based app Roastpic is launching on April 12 to give anyone with a smartphone a better picture of the quality of their coffee beans.
As machine learning and artificial intelligence become more involved with decision-making, Professor Ian Davidson is on a quest to integrate fairness into human-AI systems.
Artificial intelligence models can now build and train new models with minimal human intervention thanks to a collaborative project spearheaded by Silicon Valley-based startup Aizip and its co-founder Yubei Chen, an assistant professor at the University of California, Davis.
A multidisciplinary research team in communication and computer science at the University of California, Davis, performed a systematic audit of YouTube’s video recommendations in 2021 and 2022. They tested how a person’s ideological leaning might affect what videos YouTube’s algorithms recommend to them.
The CITRIS principal investigator and biological and agricultural engineering professor harnesses robotic and automated technology to optimize designs, systems and processes in agriculture and beyond.
As large language models like ChatGPT become more integrated into the human experience, Assistant Professor of Computer Science Muhao Chen wants to ensure that these tools are reliable, credible and protected.
Modeling computers after the human brain — coding in electrical impulses instead of ones and zeroes — promises advanced problem-solving skills and low energy consumption.
AI has affected numerous job markets with Goldman Sachs economists estimating that 300 million jobs across the globe could be automated by AI. However, AI is not always better, faster or cheaper with current iterations prone to mistakes or false information.
