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研究团队从群论中汲取灵感，创新性地将"群作用"概念引入位置编码领域。该数学工具擅长描述对称变换规律，例如正方形的四种旋转方式保持图形不变性。基于这一理论突破，GRAPE框架构建出乘法与加法两大编码体系，分别对应旋转与平移两种空间变换方式。

在人工智能领域，位置编码技术的最新突破引发了广泛关注。由清华大学及其他多所顶尖高校联合研发的GRAPE（Group Representational Position Encoding）框架，成功将现有的旋转位置编码（RoPE）和线性偏差编码（ALiBi）等技术整合进一个统一的数学体系。这一成果为Transformer架构在位置信息处理上开辟了新的路径，标志着AI技术的又一重要进步。

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

That high AI performance is powered by Ambarella’s proprietary, third-generation CVflow ® AI accelerator, with more than 2.5x ...

Ambarella announced during CES the CV7 Edge AI vision system-on-chip (SoC), which is optimised for a wide range of AI ...

In the 1980s, Hasbro's mega-popular Transformers toy line spawned an animated series, an animated movie, and a run in Marvel comics. The Transformers saga continued throughout the '90s and '00s with ...

研究团队从群论这一数学分支中获得灵感，发现可以用"群作用"的概念来统一理解位置编码。群论听起来很抽象，但实际上就像是描述对称性和变换规律的数学工具。比如，当你转动一个正方形，它有四种旋转方式仍然看起来一样——这就是一种群作用。

直接给结论，不用。 甚至可以说，都要2026年了，如果你现在还抱着十年前的教材，非要先啃明白RNN，再搞懂LSTM里那个该死的遗忘门，最后才敢翻开Transformer的第一页，那你纯粹是在浪费生命。

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...