谷歌近日宣布推出一款名为LiteRT.js的新型Javascript库，旨在显著提升浏览器中人工智能和机器学习任务的运行效率。该库通过整合WebAssembly技术，结合WebGPU与WebNN的硬件加速能力，为开发者提供了更高效的计算解决方案。

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。

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 ...

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Abstract: Autism Spectrum Disorder (ASD) often affects the perception and expression of emotions, leading to challenges in social interaction and communication. This work proposes a comprehensive ...

The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these ...

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