Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

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) ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...

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.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...

Explore our comprehensive guide to the top 10 Data Loss Prevention (DLP) software solutions for enterprises in 2025. Learn about their key features, integration capabilities, pricing, and deployment ...