A mass of writhing maggots on a decomposing murder victim is not a sight for the squeamish, but for some, it is evidence. A maggot’s age and species can give essential information to forensic ...
The Picker Interdisciplinary Science Institute (Picker ISI) has announced this year’s awards supporting interdisciplinary research, training, and student-centered scholarship at Colgate. The funded ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...
The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...
An interdisciplinary APL team created ATLAS, an artificial intelligence co-investigator that automates testing, learning, and synthesis for microcapsules, which has decreased human labor required per ...
Michigan Technological University's College of Computing will officially launch its new Department of Data Science on July 1, becoming one of a handful of institutions across the nation with an ...
AI has designed candidate drugs for antibiotic-resistant infections and genetic diseases. But efforts to incorporate AI into the design of lipid nanoparticles (LNPs), the revolutionary delivery ...
Tech Xplore on MSN
Deep AI training gets more stable by predicting its own errors
Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.
At the center of this effort is the Expanse system at the San Diego Supercomputer Center (SDSC), part of UC San Diego’s ...
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