Rapid deployment of renewable energy has reduced emissions but introduced new operational challenges. Solar and wind power ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

As decentralized apps become more complex, users and developers are looking for tools that reduce friction. AI-enabled Web3 ...

By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...

As is our end of year tradition, we’ve gathered together some industry spokespeople to tell us what they think the biggest ...

AI works best when it has context, guardrails and smart plumbing — enter “mindware,” the layer that helps enterprises think, ...

The Performance Year . After a decade of vision statements and pilot programmes, 2026 is shaping up to be the year the UAE ...

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 ...

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...