News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy prices, grid emissions ...
Abstract: Data augmentation (DA) stands out as a powerful technique to enhance the generalization capabilities of deep neural networks across diverse tasks. However, in low-level vision tasks, DA ...
As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.
A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...
When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of ...
Redundancy within a single data center or across Availability Zones (Multi-AZ), where an AZ is a physically distinct data ...
Weather Intelligence Firm, Meteomatics, Becomes Partner on the National Mesonet Program NEW YORK CITY, NY, UNITED ...
From Chaos to Order: Designing for Multifunctional Efficiency in Intracity Bus Termini in Nairobi ()
infrastructural design and the needs of the people, and the bus termini of Nairobi can become an excellent model of smart, ...
The global glass processing industry is undergoing a period of significant technological transition, driven by the ...
Abstract: Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing ...
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
Both companies are joining forces to spearhead the future of quality engineering and assurance through integration with Enterprise Architecture, powered by the EAS Essential platform~ By combining ...
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