GMGI executive explains how regulation, owned technology, and values-driven leadership are reshaping global gaming from the ground up ...

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 ...

Digital avatar generation company Lemon Slice is working to add a video layer to AI chatbots with a new diffusion model that ...

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) ...

Seeq, the global leader in industrial analytics, AI, and enterprise monitoring for industrial companies, today announced that it has been named a Front Runner within the inaugural Industrial AI: ...

Abstract: Structured proximity matrix learning, one of the mainstream directions in clustering research, refers to learning a proximity matrix with an explicit clustering structure from the original ...

As AI automates more knowledge work, the organizations that thrive will be those that master human relationships. Matrix organizations present well-known challenges: difficulty influencing across ...

A team of researchers from the University of Rochester, Yale University, and Princeton University has made a big stride in neuroscience. They have shown a method to induce learning through the direct ...

Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...