In recent years, Large Language Models (LLMs) have revolutionized the field of artificial intelligence, transforming how we interact with devices and the possibilities of what machines can achieve.

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

The emergence of DeepSeek as a transformative force in edge AI development has supply chain operators anticipating a new wave of consumer upgrades across smart devices, from smartphones to AI PCs.

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.

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

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 ...

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network ...

5G can empower you with not only faster connectivity, but also immersive augmented reality, self-driving vehicles, and industrial automation. ZDNET zeroes in on how edge computing, among the most ...