Edge Computing

The high-speed ethernet (HSE) industry is undergoing an unprecedented boom, and we only need two letters to explain why: AI.

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Intel is unveiling its new Intel AI Edge Systems, Edge AI Suites and Open Edge Platform initiatives. These offerings help streamline and speed up AI adoption at the edge across industries such as retail,

Global and Taiwanese microcontroller manufacturers are positioning themselves for substantial growth opportunities in edge AI computing, though industry leaders caution that widespread adoption depends on compelling applications that demonstrate clear value to consumers.

In the ever-evolving digital landscape, artificial intelligence (AI) has transitioned from high-performance data centers to energy-efficient mobile solutions. R

MediaTek has introduced its Genio 720 and Genio 520, a new generation of edge AI IoT platforms. Built on an 8th generation MediaTek NPU, these chips enable on-device generative artificial intelligence across diverse IoT applications.

Quantum computing continues to evolve, its synergy with distributed AI is shaping the future of computational intelligence