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 ...

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

Tata Consultancy Services (TCS) has entered a strategic partnership with global investment firm TPG to expand its AI data center business, HyperVault, at a time when global interest... Monday 24 ...

Microsoft is making good on its promise to support passkey syncing. The rollout is starting with availability on Edge for Windows. A more holistic and industry-leading strategy appears to be in the ...

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