Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

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 ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

As the lines become blurred between real and fake information, there is a growing possibility that such deepfakes could infect high-stakes national security decisions, including on nuclear weapons. If ...

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 ...