Stories
Tracks the technical systems, bottlenecks, and standards that reshape industrial power before they become mainstream narratives.
The Linux Foundation's April 2026 newsletter highlights Project Glasswing, a $100 million open source security defense initiative, as well as the MCP Developer Summit, the x402 Payment Foundation, and the establishment of Kubernetes as an AI platform at KubeCon Europe. It also covers European community events, research reports, and educational opportunities.
According to TrendForce's latest forecast, AI server shipments will grow by more than 20% in 2026, with NVIDIA facing intense competition from AMD and cloud service providers' self-developed chips. As chip power consumption exceeds 1000W, the adoption rate of liquid cooling technology is expected to reach 47%. HBM4 and optical interconnect technologies will break through bandwidth bottlenecks, providing support for trillion-parameter models. These trends will collectively shape the future of the global technology industry.
In 2025, the European semiconductor market is valued at $137.3 billion, and it is expected to reach $220.25 billion by 2034, with a compound annual growth rate of 5.4%. Electric vehicles, industrial automation, and the European Chips Act are the main growth drivers.
Based on research by AIMultiple, this article comprehensively analyzes nearly ten thousand predictions regarding the arrival of Artificial General Intelligence (AGI) and the singularity. The study finds that predictions range from 2030 to 2100, with most experts predicting that AGI will be achieved by the middle of this century. Factors influencing these predictions include the growth of computing power, algorithm efficiency, and data availability. The article also discusses the divergence between techno-optimists and cautionists, as well as the potential impact of the singularity on society.
With the rapid development of large language model technology, AI agents have rapidly emerged in the healthcare domain. This article reviews the historical evolution and core characteristics of AI agents, and systematically analyzes their applications in auxiliary diagnosis, clinical decision support, medical report generation, patient chatbots, healthcare system management, and medical education. In addition, the article discusses existing evaluation frameworks and proposes seven future development directions, including integration with physical systems, mixture of experts models, expanded evaluation paradigms, safety and controllability, ethical governance and user trust, and guidance for the evolving roles of healthcare professionals.
Arizona State University's quantum computing research covers accelerated materials discovery, supply chain optimization, and new methods in artificial intelligence, while also cultivating the next generation of quantum scientists.