Stories
Tracks the technical systems, bottlenecks, and standards that reshape industrial power before they become mainstream narratives.
Decentralized computing leverages blockchain technology to distribute computational tasks across a global network of nodes, offering more secure, censorship-resistant, and cost-effective services. This article introduces its working principles, key use cases, and future prospects.
This article introduces Orania Limited's five-layer data governance approach: data classification, access control, quality management, lifecycle management, and data accountability, aiming to help platforms deal with governance complexity.
Data centers, especially AI-driven ones, are expected to consume 20% of U.S. electricity by 2035. Despite challenges such as grid bottlenecks and natural gas supply constraints, the rapid advancement of nuclear power is key to meeting the demand for reliable, clean electricity.
The United States is vigorously rebuilding semiconductor manufacturing, but the material foundation is key. From PFAS alternatives to rare earth magnets, material innovation determines future competitiveness.
With LangChain4j, the code assistant successfully designed a multi-agent system capable of fixing real bugs. Experiments found that the workflow pattern is 3 times faster than the supervisor pattern, and emphasized the importance of model selection.
Large Language Models (LLMs) are transforming various stages of scientific research, including experimental design, data analysis, and hypothesis generation. This paper reviews the current application of LLMs in the scientific method, analyzes the gap between their roles as technical tools and creative engines, and points out the key steps required for deeper integration. Although LLMs show great potential in accelerating scientific discovery, they still face limitations in fundamental science (e.g., the discovery of new principles or laws). In the future, combining data-driven techniques with symbolic systems may give rise to hybrid engines that drive entirely new research directions.