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.

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, ...

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 ...

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.

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.

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 ...

The rapid advancements in AI have brought powerful large language models (LLMs) to the forefront. However, most high-performing models are massive, compute-heavy, and require cloud-based inference, ...

Overview Growing need for specialised AI hardware as traditional processors fall short on modern AI workloads.AI chip startups are driving innovation with custo ...