The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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 ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
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New AI model accurately grades messy handwritten math answers and explains student errors
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...
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