创始人表示，如果Ricursive成功实现其自动化设计流程，科技公司将在几周甚至几天内就能完成芯片设 计，这将引发"定制硅芯片的大量涌现"，彻底改变半导体行业的格局。 目前，AI芯片设计自动化已成为资本新宠。除了Ricursive，由Naveen Rao创立的Unconventional AI去年 底也以45亿美元估值获得了a16z领投的融资。 智通财经APP获悉，两个月前才正式成立的人工智能(AI)芯片初创公司Ricursive宣布完成3亿美元融 资，估值达40亿美元。本轮融资由Lightspeed领投，NVentures(英伟达风险投资部门)、DST Global及 Radical AI等跟投。所募得的资金将主要用于加速其AI驱动的芯片自动化设计技术研发，旨在彻底革新 半导体行业设计流程。 据悉，Ricursive致力于利用AI系统自动设计并改进AI芯片。该公司由前谷歌研究员Anna Goldie和Azalia Mirhoseini创立。两名创始人此前开发的AlphaChip强化学习方法已被应用于谷歌四代TPU芯片的布局设 计中。 Ricursive正在构建一种能够自动创建硅衬底层并加速芯片迭代的系统。该 ...

Core Insights - Ricursive Intelligence, a startup founded by two former Google researchers, aims to develop AI software that can autonomously design advanced chips, potentially allowing any tech company to create its own chips from scratch [1][2][11] - The vision of Ricursive Intelligence is to create a recursive feedback loop where AI designs chips, which then run more powerful AI, leading to the design of even better chips [2][10] Company Overview - Ricursive Intelligence was founded by Anna Goldie and Azalia Mirhoseini, both of whom have significant backgrounds in AI and chip design [2][11] - Anna Goldie holds a PhD in natural language processing from Stanford and has previously worked at Google DeepMind and Anthropic [2] - Azalia Mirhoseini is currently an assistant professor at Stanford and was also a senior researcher at Google DeepMind [2][11] Technology and Innovation - The core innovation of Ricursive Intelligence lies in applying recursive intelligence principles to complex chip design, aiming to automate and optimize the design process [9][10] - The company plans to reduce the traditional chip design cycle from 2-3 years to just a few weeks by optimizing the most time-consuming parts of the process [10] - Ricursive Intelligence envisions an end-to-end automated chip design process that allows companies without dedicated chip design teams to create custom chips for various applications [10] Market Potential - If successful, Ricursive Intelligence could lead to a significant transformation in the AI and semiconductor industries, enabling a surge in custom silicon chips [2][10][11] - The company has already attracted attention from over 50 venture capital firms and secured $35 million in funding, achieving a valuation of $750 million before launching any products [11]