Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

Abstract: Deploying vision transformers (ViTs) in edge computing environments presents significant challenges due to their high computing demands and the resource constraints of edge devices. While ...

Akamai's acquisition of Fermyon could bring more users to Wasm, which is gaining momentum as the WebAssembly System Interface (WASI) specification nears standardization.

The Sapphire Edge AI 370 is a compact, AI-powered mini PC with high performance that can be upgraded effortlessly.

VisionFive 2 Lite brings four 1.25 GHz SiFive U74 cores and Wi-Fi 6, helping you build and test RISC-V projects on a tight budget.

Work Zone Detection AI Market reached USD 2.45 billion in 2024 and is projected to grow to USD 8.85 billion by 2034, a CAGR of 21.5% ...

To meet modern business demands, Dell offers the Pro Max (GB10) for local AI development and the Pro Essential line for ...

Fujitsu and Yamaguchi University have demonstrated how orbital edge computing can reduce satellite data latency from hours to ...

Want a future for AI networks? Want to realize the real value of AI? Look for an AI agent approach that empowers the ...