Computer science professor Ian Davidson will bring expertise in explainable artificial intelligence (XAI) and deep learning (DL) to a new National Institute of Health (NIH)-funded project to treat teenagers with schizophrenia. The five-year, $3.4 million project funds trials using AI to prescribe treatments for each patient based off medical images of their brains.
The University of California, Davis, has been awarded $20 million as part of a multi-institutional collaboration to establish an institute focused on enabling the next-generation food system through the integration of artificial intelligence, or AI, technologies.
Computer science assistant professor Mohammad Sadoghi is partnering with UK-based blockchain company Radix to develop and verify a fast and secure fabric for financial transactions.
Computer science associate professor Sam King thinks he has a solution to credit card fraud. Using his experiences in Silicon Valley and his research at UC Davis, King has developed a new, secure app called Card Scan that uses machine learning to read credit cards in seconds and reject fraudulent cards, transactions and phones.
Computer scientists at the University of California, Davis, have developed a web-based contact-tracing application. The app, We-Care, allows users to check in at specific locations and notifies them if someone reporting themselves as positive for COVID-19 checks in at the same location within a certain time window.
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Focusing on research and education, the UC Davis TETRAPODS Institute of Data Science (UCD4IDS) will serve as a hub for faculty, scholars, and students with interests and expertise in data science.
The paper, authored by Ph.D. student Krishna Kumar Singh, visiting researcher Utkarsh Ojha and assistant professor Yong Jae Lee, describes an algorithm the team developed that was able to identify, disentangle and layer different parts of generated images by associating random codes with different parts of the image.
A team of faculty members from the Departments of Computer Science (CS) and Science and Technology Studies (STS) was named an inaugural winner of the Mozilla Responsible Computer Science Challenge.
