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

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

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

说到底，这个道理其实很简单：创新不再局限于某一种编程语言。模型训练的阵地依然在 Python，但模型推理的归属，只取决于哪个环境能提供稳定、可扩展、可观测的系统——而 Java，正是这样的理想环境。

A fundamental scientific problem of our time is to understand how memory systems integrate present sensory stimuli, past experience, and future behavioural options. Modern neuroscience tries to ...

Abstract: Model compression is widely adopted for edge inference of neural networks (NNs) to minimize both costly DRAM accesses and memory footprints. Recently, XOR-based model compression has ...

Skoltech scientists have devised a mathematical model of memory. By analyzing its new model, the team came to surprising conclusions that could prove useful for robot design, artificial intelligence, ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Summary: A new memory model called Input-Driven Plasticity (IDP) offers a more human-like explanation for how external stimuli help us retrieve memories, building on the foundations of the classic ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...