The ‘90s were an interesting decade. It gave us the internet, Nokia brick phones, grunge fashion, hip-hop music, and boy ...

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 ...

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: Distributed learning refers to the problem of inferring a function when the training data are distributed among different nodes. While significant work has been done in the contexts of ...

Abstract: Matrix factorization is among the most popular approaches for matrix completion, with recent advances including gradient-based and deep-learning-based methods. Even though many applications ...

The work environment is evolving faster than ever. Artificial intelligence has progressed from being a promise of the future to being at the core of today's business activity. What was previously the ...

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 ...