Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
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ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
NetraMark Holdings Inc. (the 'Company” or 'NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...
Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...