AGI refers to the idea of AI that can think or learn as broadly as a human. ASI takes that idea further, imagining systems ...
The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
From Philly and the Pa. suburbs to South Jersey and Delaware, what would you like WHYY News to cover? Let us know! Across the country, educators are growing increasingly concerned about the impact of ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
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