AI News and Trends

In recent years, Stanford University has consistently led the global forefront of artificial intelligence innovation. According to the 2024 Stanford AI Index, authoritative papers, and project results, Stanford has made significant strides in five key areas: fundamental large-scale models, multimodal AI, explainable and safe AI, and intelligent and robotic systems in healthcare...

MGX is NVIDIA's modular AI server architecture, poised to revolutionize the AI industry in 2025. The MGX platform employs a modular design philosophy, supporting various GPUs, CPUs, and cooling methods, providing enterprises and research institutions with a flexible foundation for AI computing power. This article provides an in-depth analysis of MGX...

With the rapid development of artificial intelligence (AI) technology, AI education has become a focal point in global higher education and vocational training. An increasing number of top universities and professional education platforms are offering AI courses, providing students worldwide with cutting-edge knowledge and skills. This article systematically summarizes the AI development trends for 2025...

Artificial intelligence (AI) is comprehensively driving the digital and intelligent transformation of Chinese society from a localized perspective, exemplified by "intelligence中文". This article systematically analyzes the multiple meanings of "intelligence中文", from policy, industry, and technological innovation to popular AI tools (Wenxin...).

Overfitting is a model error trap that newcomers to machine learning and artificial intelligence should be most concerned about in 2025. This article systematically explains the phenomenon, causes, and detection methods of overfitting, and analyzes five powerful industry methods to avoid overfitting...

With the rapid rise of the global AI industry, Taiwan has become a hotspot for global AI supply chains and technology applications. By 2025, dozens of Taiwanese AI companies will have established themselves in both local and international markets, particularly in IC design, AIoT, smart manufacturing, and medical applications. This article is based on the latest industry reports and market data...

ControlNet is the most prominent image-controllable generation technology in the field of AI drawing in recent years, greatly expanding users' precise control over image structure and style. It is based on the Stable Diffusion deep architecture and utilizes various "conditional" methods such as edge mapping, skeletal mapping, segmentation, and normal mapping...

AI AV, or Artificial Intelligence Automation and Audio/Video (AI+Audio/Video) technology, is becoming a core driving force for the rapid development of fields such as autonomous driving, smart security, intelligent content production, telemedicine, and smart conferencing. This article systematically outlines the concept and technological support of AI AV...

Graph Neural Networks (GNNs) have become a focal point of AI technology, with their unique data structure processing capabilities breaking through the limitations of traditional neural networks and facilitating upgrades in multiple industries, including recommendation systems, social network analysis, knowledge graphs, and life sciences. This article focuses on the core principles, mainstream models, typical application scenarios, and...

Artificial intelligence (AI) refers to the technological system that enables computers to simulate, extend, and even replace human intelligence. In 2024, AI was widely applied in numerous fields such as autonomous driving, intelligent customer service, content generation, and healthcare. It encompasses...