花三万配的MATLAB机器，为什么跑不过一万五的？答案在内存
装机实战 · 工作站配置指南MATLAB 装机指南装过上百台工作站后，我把配置逻辑讲透一台按"内存优先"原则打造的多核工作站TL;DR：核心结论干了多年装机，找我配 MATLAB 工作站的客户，十个有八个开口就是"上顶配显卡"。
MATLAB：科研与工程领域的数值计算神器
在全球的科研与工程领域，有一款软件已经陪伴了无数用户走过了 40 多年的时光，它就是 MATLAB。
MATLAB 并行计算 GPU 加速：parfor/gpuArray 模型与UltraLAB 工作站
本文基于 MathWorks 官方系统要求与 Parallel Computing Toolbox 文档，解析 MATLAB 的隐式多线程、parfor 并行池（每物理核 1 worker、每 worker ≥2GB 内存）与 gpuArray GPU 加速（CUDA、计算能力要
爱可可AI论文推介(10月26日)
We introduce COLA， a self-supervised pre-training approach for learning a general-purpose representation of audio. Our approach is based on contrastive learning: it learns a representation which assigns high similarity to audio segments extracted from the same recording while assigning lower similarity to segments from different recordings. We build on top of recent advances in contrastive learning for computer vision and reinforcement learning to design a lightweight， easy-to-implement self-supervised model of audio. We pre-train embeddings on the large-scale Audioset database and transfer these representations to 9 diverse classification tasks， including speech， music， animal sounds， and acoustic scenes. We show that despite its simplicity， our method significantly outperforms previous self-supervised systems. We furthermore conduct ablation studies to identify key design choices and release a library to pre-train and fine-tune COLA models.