谷歌发布 LiteRT.js 库，Web AI 推理最高提速 3 倍

在搭载 M4 芯片的 2024 款苹果 MacBook Pro 笔记本上，谷歌测试发现相比较现有方案， LiteRT.js 速度提升 3 倍。谷歌在官方博文中表示，在运行旧硬件或使用不同引擎的浏览器时，实际性能可能存在差异。
InfoQ

Face-api.js: JavaScript Face Recognition Leveraging TensorFlow.js

Face-api.js is a JavaScript API for face detection and face recognition in the browser implemented on top of the tensorflow.js core API. It implements a series of convolutional neural networks (CNNs), ...

Google发布JavaScript库LiteRT.js 加快浏览器中的AI和机器学习运行速度

Google近日发布了全新的JavaScript库——LiteRT.js，旨在显著提升网页浏览器端的机器学习与人工智能工作负载的处理速度。这一举措标志着Google正将其移动端优化的LiteRT运行时引入Web平台，从而使得AI模型能够直接在本地浏览器环境中高效运行，无需依赖服务器端的处理。相较于现有的TensorFlow.js，LiteRT.js展现出了明显的性能优势。据悉，该库利用了WebAs ...
Tech Times on MSN

Browser AI gains native inference: Google LiteRT.js cuts server dependency

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...
InfoWorld

TensorFlow, PyTorch, and JAX: Choosing a deep learning framework

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...