Many utilities have been slow to embrace distributed energy resources (DERs) and, in some cases, have reshaped rate ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Infrastructure decisions used to be driven mostly by technical benchmarks. CPU performance, storage type, network latency, ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

This Research Topic focuses on the integration of artificial intelligence (AI) with mobile and distributed models of care in critical care and anesthesia.

Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts. Metadata should be leveraged to intelligently route queries ...