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

Digital twins, combined with edge AI, have proven capable of reducing the operational expenditure of smart buildings.

IBASE Technology Inc. (TPEx: 8050), a leading manufacturer of industrial computing and edge AI platforms, announces the ...

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

Azure Local and IoT Operations received a broad set of updates this week as Microsoft moved to expand AI-enabled edge ...

Ezurio, a global leader in connectivity and embedded computing, today announces the Nitrogen95 Connected System-on-Module ...

As AI workloads move from cloud to edge, the volume of image and sensor data across industries is rising rapidly. Edge ...