CPAI AI in Life Sciences March 31, 2026
Exploring practical, responsible AI across the life sciences pipeline—from discovery to commercialization. AI for Life Sciences is where participants heard practical examples of what’s working now (and what isn’t) across discovery, trials, medical communications, safety, and commercialization and then mapped concrete opportunities to risks, guardrails, and realistic next steps for the next 90 days. This was a grounded conversation designed to help learners leave with clearer judgment, better questions, and a few new local connections.
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Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
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FULL DISCUSSION: Google's Demis Hassabis, Anthropic's Dario Amodei Debate the World After AGI | AI1G
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Elfenbeinküste – Ecuador Highlights | Gruppe E, FIFA WM 2026 | sportstudio
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Anthopic, OpenAI Should Not Be Allowed to IPO, Says Ed Zitron
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Don't learn AI Agents without Learning these Fundamentals
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Full AI Prompting Course with Andrew Ng
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Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit
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How to Design an AI Native Engineering Organization
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Clara Mattei: capitalism is not natural - it’s enforced
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The Hardest Problem AI Ever Solved, with Google DeepMind CEO
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AI Agents for Beginners – Part 1 (Free Labs)
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Wall Street Week | SpaceX Goes Public, Google’s AI Bet, World Cup Price Backlash
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Introduction to Generative AI
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Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI
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Anthropic's Stunning Admission, Argentina's AI Gamble, and the Jobs Report Nobody Expected | EP #263
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Weekend Listen: Why 2026 Is Beginning to Look Like 1929 (with Andrew Ross Sorkin) | Big Take
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What is SonarQube | Introduction SonarQube | SonarQube Tutorial | SonarQube Basics | Intellipaat
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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
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