Anna Goldie
Showing 1–3 of 3 transcripts.
- RAISE Summit17 min
AI for Chip Design & Chip Design for AI | Ricursive Intelligence | RAISE Summit 2026
Anna Goldie, Azalia Mirhoseini, Azalea Amir-Hosseini
Founded by former Google Brain engineers Anna Goldie and Azalea Amir-Hosseini, Recursive Intelligence deploys its AlphaChip reinforcement learning system to replace months of manual chip design with superhuman layout generation that runs 1,000 times faster than commercial tools. The company is currently in Phase One, accelerating physical design for major manufacturers like NVIDIA and AMD, while its roadmap targets a "design-less" future where companies specify workloads to receive co-optimized hardware instantly. Ultimately, Recursive aims to close a recursive self-improving loop by eventually building its own chips and models, promising up to 20x performance gains through microarchitectural customization.
- Sequoia Capital11 min
AI That Designs Its Own Chips: Ricursive's Anna Goldie and Azalia Mirhoseini
Anna Goldie, Azalia Mirhoseini
Founded by former leaders from Google Brain, Anthropic, and DeepMind, Recursive Intelligence has deployed its AlphaChip technology to optimize billions of transistors for Google's TPU and Axion lines while adopting by MediaTek. The company currently accelerates chip design by running static timing analysis 1,000 times faster than commercial tools, enabling AI agents to generate curved, organic layouts that reduce wire lengths and cut annual design cycles from months to days. Looking ahead, Recursive plans to democratize custom silicon through a platform model that delivers fabrication-ready layouts without in-house teams, ultimately aiming to vertically integrate design and fabrication into a self-reinforcing loop for frontier AI systems.
- Sequoia Capital37 min
How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design
Anna Goldie, Azalia Mirhoseini, Stephanie Zhan, Sonya Huang
Recursive Intelligence leverages reinforcement learning and graph optimization to solve the critical asymmetry between slow physical chip cycles and rapid AI model iteration. Building on the success of Google's AlphaChip project, the company replaces manual expert design with an autonomous system that generates "superhuman" layouts, enabling a shift from fabless to designless manufacturing. This approach allows major industry players like NVIDIA and AMD to accelerate custom silicon development while creating a scalable pipeline for diverse applications ranging from space data centers to consumer AR/VR devices.