UC Irvine researchers discover atomic-level mechanism in polycrystalline materials
Findings could herald more efficient electronics, aerospace and automotive technologies
Findings could herald more efficient electronics, aerospace and automotive technologies
Model uses human and algorithmic predictions and confidence scores to boost accuracy
UCI-developed machine learning tool aids doctors’ decision-making
‘End-to-end’ approach generates favorable results in comparison with classical codecs
UCI-created AI tool for predicting blaze size proves successful in Alaska; team now focuses on California
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 […]
New technique could help authorities conduct triage in multiple-blaze scenarios
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 […]
Work is step toward advanced AI systems that can think, reason, plan and make decisions
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 […]