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 ...

Abstract: Numerous efforts have been made to find efficient optimization methods that reduce resolution times to obtain solutions to the optimal power flow problem in alternating current (ACOPF).

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

Manipal: In a step towards improving newborn care, researchers in Mangaluru developed a low-cost, smartphone-based device ...

Future-Proofing Business Finance With AI-Driven Cash Flow Models - Cash flow is the lifeblood of any business, yet predicting ...

Cloudflare has open-sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle-tested quiche ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

In a market increasingly shaped by artificial intelligence (AI) and digital lending platforms, investors are closely watching ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

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 ...

Incognito is essentially a local privacy feature. It protects you from your spouse, not from Amazon. It doesn't natively ...