The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Edge computing, machine learning algorithms and centralized management platforms work in tandem to ensure industrial systems ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

The growth of the System-on-Chip (SoC) industry is driven with the increasing trend of SoC in automotive industry along with the adoption of IoT and connected devices that require SoCs to carry out ...

Edge AI software is undergoing tremendous growth due to a unique confluence of factors reshaping how data is analysed and actioned at the edge. One factor is the proliferation of IoT devices, which ...

Amir Khan is President, CEO and Founder of Alkira. A seasoned networking visionary, he previously co-founded Viptela, a ...

Edge computing enables data to be analyzed where it’s created—in stores, warehouses, and even in consumer-facing devices.

The question is no longer “if” we integrate AI. It’s “how fast can we do it?" writes contributor Denys Syntiuk.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Edge intelligence is the ability to process and compute data closer to where it’s generated, which is at the edge of a network. Moving computation closer to data sources like IoT devices with sensors ...