As confidence in these systems grows, the vision of a self‑healing network moves closer to reality. These benefits span DOCSIS®, PON, hybrid networks, virtualised access platforms, and even wireless ...

Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...

Nvidia and major telcos are launching distributed "AI grids" to run inference at the network edge, reducing latency and costs ...

We are trying to fix health care as if it were complicated. In reality, health care is complex.

Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge ...

New digital platform combines regulatory intelligence, food safety analytics and AI-driven risk detection With SGS ...

Multiply raises $9.5 million to bring AI driven self learning advertising to B2B, using CRM and sales data to continuously ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless ...

Research by Ranga Raya Reddy Eragamreddy reveals how AI orchestration improved EV energy platform workflows and reduced costs ...

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast consumption, detect faults, and optimize system performance in real-time. What was ...