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Material Abundance: Radical AI’s Closed-Loop Lab Automates Scientific Discovery

Today Joseph Krause and Jorge Colindres of Radical AI join The Cognitive Revolution to discuss their ambitious mission to revolutionize materials science by combining AI-powered discovery engines with fully autonomous robotic laboratories, exploring how they're accelerating the development of breakthrough materials like high-entropy alloys and room temperature superconductors that could unlock hypersonic flight, interplanetary travel, and other transformative technologies. Shownotes below brought to you by Notion AI Meeting Notes - try one month for free at: https://notion.com/lp/nathan -Material Development Challenges: Current material development faces three major obstacles: costs exceeding $100 million, 10-25 year commercialization timelines, and fragmentation between academic research and corporate R&D. -Business Model Approach: Radical AI determined that selling software or licensing materials would be insufficient business models. Instead, they focus on selling materials at scale for high-impact industries. -Focus on Processing IP: The real IP value in material science isn't just in composition patents but in the trade secrets of scaling production efficiently and cost-effectively. -Public-Private Partnership: Radical AI advocates for government involvement in material science through public-private partnerships, particularly for critical applications in defense, energy, and advanced computing. -China's Material Science Approach: China establishes entire manufacturing hubs around new material discoveries to scale production, demonstrating their prioritization of materials as foundational to innovation. -Culture of Productive Failure: The company embraces daily failure as a necessary part of innovation, building on these failures to achieve breakthroughs. Sponsors: Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (03:45) Introduction and Company Overview (05:01) Materials Science Problems (10:35) Scale-up and Processing Challenges (16:38) Customer-Driven Material Discovery (Part 1) (18:26) Sponsor: Oracle Cloud Infrastructure (19:35) Customer-Driven Material Discovery (Part 2) (23:17) Company Mission and Vision (Part 1) (31:54) Sponsor: Shopify (33:50) Company Mission and Vision (Part 2) (34:44) The AI-Lab Flywheel (40:27) AI Models and Architecture (49:49) Scientific Intuition and Experience (58:11) Active Learning and Breakthroughs (01:04:45) Data Challenges and Sources (01:14:38) Search Space and Automation (01:25:14) Inference Scaling and Properties (01:31:01) Active Learning Implementation (01:37:01) Move 37s in Materials (01:44:31) IP Strategy and Business (01:48:24) Air Force Partnership (01:51:23) Culture and Closing (01:53:22) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn:   / nathanlabenz   Youtube:    / @cognitiverevolutionpodcast   Apple: https://podcasts.apple.com/de/podcast... Spotify: https://open.spotify.com/show/6yHyok3...

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