The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

The technology vendors named to the 2025 CRN Edge Computing 100 are recognized for empowering channel partners with the building blocks needed to develop next-generation edge solutions that lower ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

Just as data centers become the AI industry’s hottest trade, a whole new hot button is already materializing. It’s artificial intelligence itself, however, that’s making this aspect of the AI movement ...

Hardware costs for humanoid robots are plummeting, but managing a fleet of these autonomous workers will severely test your enterprise IT infrastructure, security, and budget. Cisco unveils AI-powered ...

Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network. Instead of triggering ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Overcoming the constant challenge to maintain strict independence of functional safety while improving life cycle performance ...