The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...

Tata Communications explains how combining security and networking strategies strengthens resilience and simplifies digital ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

There are benefits and challenges of processing AI workloads on-device to enhance performance, reduce costs, and ensure data ...

There’s a point when just throwing more robots at a problem delivers diminishing returns. It also gets expensive quickly.

Live Updates Live Coverage Updates appear automatically as they are published. Get The Best Qualcomm Live Earnings Coverage ...

Arm calls on procurement leaders to drive the next wave of digital infrastructure through energy-efficient AI solutions, ...

When it comes to AI-powered capabilities, agentic workflows and edge computing applications, a lot of promises have been made over the years. A whole lot.

As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

The new SEMIL series sets a benchmark in rugged edge computing. Both systems are certified to MIL-STD-461G, MIL-STD-1275D, ...

Honda Research, with Silicon Valley labs, funded Ohio State research proving shiitake mushrooms can function as computer ...

As part of CRN’s 2025 Edge Computing 100, here are 25 providers that are specializing in 5G, IoT and edge services.