Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

Alberta’s Auditor-General says the province’s reporting on how the health care system is performing is not credible and has worsened over time – an issue that needs to be corrected if Premier Danielle ...

Abstract: Distributed training of deep neural networks (DNNs) suffers from efficiency declines in dynamic heterogeneous environments, due to the resource wastage brought by the straggler problem in ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

The shift from passive to proactive AI is underway — and it's moving faster than most enterprises can adapt. In fact, Gartner projects that at least 15% of work decisions will be made autonomously by ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

MELBOURNE, FL, UNITED STATES, August 6, 2025 /EINPresswire.com/ — Innovative Routines International (IRI), Inc., the 47-year-old pioneer in big data management and ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

WASHINGTON, Feb 13 (Reuters) - The U.S. Justice Department on Thursday ordered federal prosecutors to turn over examples of cases in recent years in which defendants were charged with committing ...

Data masking is one of the ways to protect confidential information from unauthorized use. When masking, data is replaced either with arbitrary symbols or (more often) with fictitious data. The array ...