Azalia Mirhoseini
Co-founder working on AI-driven chip design, formerly co-creator of AlphaChip at Google that helped automate TPU floorplanning; focuses on reinforcement learning and graph-based optimization applied to physical design.
Best podcasts with Azalia Mirhoseini
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Jan 14, 2026 • 37min
How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design
Azalia Mirhoseini and Anna Goldie, co-founders of Recursive Intelligence, revolutionized chip design at Google with AlphaChip, drastically speeding up the process. They discuss how chip design bottlenecks hinder AI's progress and their vision for 'designless' custom silicon, making it accessible for all companies. The duo shares insights into using AI for advanced placements, novel chip shapes, and recursive self-improvement, where AI enhances its own designs. Their optimism for AGI and a 'Cambrian explosion' of custom silicon applications paints an exciting future for technology.
Apr 27, 2020 • 45min
Reinforcement learning for chip design
Anna Goldie, a Google Research expert specializing in natural language processing, and Azalia Mirhoseini, a senior research scientist at Google Brain focusing on hardware-software co-design, dive into the groundbreaking use of reinforcement learning for chip design. They discuss optimizing component placement through advanced techniques, including graph convolutional neural networks. The conversation uncovers the synergy between deep learning and system optimization, and hints at the future implications of AI in revolutionizing the chip design landscape.
