Robin Rowe talks about coding, programming education, and China in the age of AI feature TrapC, a memory-safe version of the ...

Online LLM inference powers many exciting applications such as intelligent chatbots and autonomous agents. Modern LLM inference engines widely rely on request batching to improve inference throughput, ...

Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

Abstract: Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured concurrency in the coming year.

Abstract: Air pollution poses a significant threat to urban environments, and accurate prediction of multiple air pollutants is crucial for effective mitigation strategies. This study introduces a ...

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning ...