That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

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 ...

Urban systems rely on continuous data streams from heterogeneous sensors embedded in roads, vehicles, buildings, medical ...

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 ...

The AI shift to the edge promises faster insights and more resilient operations, but it also transforms the demands placed on ...

How Prannoy Kiran Saride’s patented routing architecture strengthens 4G and 5G telecom network resiliency by preventing ...

As organizations modernize industrial systems, high-integrity functional safety strategies are now critical for reducing risk and ensuring compliance. This report delivers actionable insight into the ...

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

From factory floors to financial institutions, the systems envisioned by Divyaraj Singh Jatav are designed to enhance resilience, reduce risk, optimize operations, and unlock new dimensions of ...