普渡大学与佐治亚理工学院的研究团队在《科学前沿》发表研究，指出传统冯·诺依曼架构因内存与处理器分离导致“内存墙”问题，消耗大量时间和能源。为解决此瓶颈，他们提出利用类脑算法构建新型计算机架构，旨在显著降低人工智能模型的能耗。
浙江大学发布全球最大类脑计算机"Darwin Monkey（悟空）"，拥有20亿神经元和1000亿突触，接近猕猴大脑规模。该系统采用960颗自主研发的Darwin3代类脑芯片，通过脉冲神经网络模拟生物神经元机制，能耗极低。创新2.5D封装技术实现高效互连，15台服务器总功耗仅2000瓦。配套达尔文操作系统支持智能调度，已成功运行DeepSeek等AI应用，能模拟从线虫到猕猴的神经系统。该成果使中国在类脑计算领域领先全球，规模是Intel Hala Point的近两倍，将为AI发展和神经科学研究提供重要平台。
["IBM最新发布的NorthPole类脑芯片以惊人的速度运行AI图像识别算法，比商用芯片快22倍，能效提高了25倍。","该芯片采用仿脑技术，解决了冯·诺伊曼瓶颈问题，加速AI图像识别。","NorthPole将计算和存储融合，革新了计算机架构，内存信息位于芯片上，消除了瓶颈。"]
Anthropic
$21
Input tokens/M
$105
Output tokens/M
200
Context Length
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
