Recursion Pharmaceuticals (NASDAQ: RXRX), a small-cap biotech company, has one claim to fame: It currently owns the largest ...
Last week, two of the biggest and oldest companies in the burgeoning AI drug discovery space announced a surprise merger. In a roughly 75-25 deal, Recursion Bio and Exscientia will (if the merger goes ...
Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...
In one of the biggest M&A deals involving artificial intelligence-focused drug developers to date, Recursion Pharma has agreed to join with Exscientia in an all-stock transaction valued at $688 ...
新年伊始,MIT CSAIL 的一纸论文在学术圈引发了不小的讨论。Alex L. Zhang 、 Tim Kraska 与 Omar Khattab 三位研究者在 arXiv 上发布了一篇题为《Recursive Language ...
2026年的AI范式或许已悄然发生了剧变。在过去的一年里,人工智能领域的长文本处理能力经历了前所未有的飞速发展。从128k到1M再到10M的上下文窗口(Context Window)内卷化过程,表面上看似技术的进步,但实际上却隐藏着深层次的问题。基于Transformer注意力机制的线性扩张,正面临着物理与效果的双重边际递减,这让我们不得不重新思考AI的未来。
其核心思想是借鉴计算机科学中的“外存算法” (Out-of-core algorithms),不要把长 Prompt 直接喂给神经网络,而是把它放在一个外部的 Python REPL 环境里。 Prompt 被加载为环境中的变量context 。模型不再像以前那样生吞整个字符串,而是通过编写代码(如len (context) , context.split , re.search )来按需读取数据 ...
早在 2025 年 10 月,Zhang 和他的导师 Omar Khattab 就在博客上公开了初步想法,引发了一些关注。如今这篇正式论文带来了更系统的实验和更扎实的数据,论证了通过让语言模型把长文本当作“外部环境中的变量”来处理,可以让模型有效处理超出其上下文窗口 2 个数量级的输入。
2025年的最后一天, MIT CSAIL提交了一份具有分量的工作。当整个业界都在疯狂卷模型上下文窗口(Context ...
The K-star opens up on streaming, bold experiments and finding his way back to the stage. Read more at straitstimes.com. Read ...
2025 has come and gone. It was an interesting year and had its fair share of weird Vancouver stories. We’ve gone through some ...
With over 18,000 tokens tracked across centralized and decentralized exchanges, the entire crypto market is worth nearly $3 trillion. This is 31% lower from the all-time high of $4.37 trillion in ...
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