Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

The study identifies structural weaknesses that could undermine the role of AI as a sustainability accelerator. One of the ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

Artificial intelligence tools in neuro-oncology demonstrate robust performance in detecting brain metastases and predicting clinical outcomes.

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

AI can help transform patient feedback into actionable insight, helping healthcare leaders detect trends, improve experience ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

In today’s fast-evolving job market, the traditional resume is under pressure like never before. With AI-powered tools ...

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 ...

Introduction In the field of hardware development, protracted prototype iteration cycles and high error correction costs are ...