This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
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How AI Machine Learning Is Transforming Driving Decisions
From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience. Machine learning replaces this with systems that can analyse millions of ...
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 ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
In letters to consultants and the College Board, House and Senate Judiciary leaders invoked antitrust law and asked how student data feeds pricing algorithms. By Ron Lieber Ron Lieber welcomes ...
jDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA kDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
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