KEYWORD

machine learning

UCI researcher receives NIH Transformative Research Award

Funds will support project to develop simplified methods for generating antibodies

Dr. Peter Chang, a UCI Health neuroradiologist who designed the algorithm and is co-director of UCI’s Center for Artificial Intelligence in Diagnostic Medicine said "In the course of just a month or so, we’ve gotten the data, built the model, tested it on some cohorts and launched it on a website.”

Predicting a patient’s path

UCI-developed machine learning tool aids doctors’ decision-making

UCI mathematicians use machine intelligence to map gene interactions

Technique could help to find links between lung cells under coronavirus attack

Shane Coffield, UCI grad student in Earth System Science

Taming wildfires

UCI-created AI tool for predicting blaze size proves successful in Alaska; team now focuses on California

UCI team uses machine learning to help tell which wildfires will burn out of control

New technique could help authorities conduct triage in multiple-blaze scenarios

UCI researchers’ deep learning algorithm solves Rubik’s Cube faster than any human

Work is step toward advanced AI systems that can think, reason, plan and make decisions

UCI computer scientists breathe life into Venice Biennale installations

Collaborative artworks interact with viewers through artificial intelligence

Social sciences dean Bill Maurer is awarded grant to study use of AI in financial services

Bill Maurer, dean of UCI’s School of Social Sciences and professor of anthropology and law, has been awarded a grant from Capital One to investigate the human implications of how artificial intelligence and machine learning are employed in the financial services industry. Using case studies in applications of AI/ML that may increasingly affect people’s financial […]

‘Cloud computing’ takes on new meaning for scientists

UCI, other researchers use machine learning to improve accuracy of climate prediction models

UCI chemist helps create tool that anticipates molecular actions

An international team of scientists including Kieron Burke, UCI professor of chemistry, has created a machine-learning algorithm that predicts molecular behavior. The breakthrough may aid in the development of pharmaceuticals and materials to enhance the performance of batteries, solar cells and digital displays. In a study published in Nature Communications, the researchers describe how their […]