KEYWORD

algorithms

UCI researchers develop hybrid human-machine framework for building smarter AI

Model uses human and algorithmic predictions and confidence scores to boost accuracy

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 and Disney Research scientists develop AI-enhanced video compression model

‘End-to-end’ approach generates favorable results in comparison with classical codecs

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, other researchers develop deep-learning technique to ID at-risk anatomy in CT scans

Radiation therapy is one of the most widely used cancer treatments, but a drawback of the procedure is that it can cause collateral damage to healthy tissue in proximity to cancerous growths. Identifying organs at risk via CT scans is a difficult and labor-intensive process, but UCI computer scientists and researchers from other institutions have […]

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

Cao Glass Image

UCI-led team sheds light on mechanisms governing the rheology of glassy materials

Commonplace in both natural and man-made components, glassy materials have a microscopically disordered structure. In many solid substances and crystals, atoms are bonded together in an orderly fashion, like stacked cannonballs, but atoms and molecules in varieties of glass are positioned in an amorphous jumble, as they are in liquids. Penghui Cao, UCI assistant professor […]

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 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 […]