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AIAS⁺ 2026 | Where AI Meets the Future of Science

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​AIAS⁺ 2026 | Where AI Meets the Future of Science

​🎟️ Limited-Time Offer! Use code AIASPLUS to get 15% off all tickets through November 1st!

​Chen Institute Symposium for AI Advancing Science and Society

​📅 November 5–7, 2026

​📍 The Ritz-Carlton, San Francisco

​What if AI could do more than answer questions — what if it could make discoveries?

​Artificial Intelligence is entering a new era. Beyond generating text, images, and code, AI is beginning to transform how we discover new medicines, explore mathematics, understand the human brain, engineer advanced materials, and solve some of humanity's most challenging scientific problems.

​Welcome to AIAS⁺ 2026 — where the future of AI-driven scientific discovery takes center stage.

​Hosted under the Chen Institute Symposium for AI Advancing Science and Society, this three-day gathering brings together leading scientists, AI pioneers, entrepreneurs, industry innovators, and investors to explore one defining question:

​How will AI transform the future of science — and the world around us?

​From fundamental breakthroughs to real-world applications, AIAS⁺ 2026 connects the people advancing artificial intelligence with those turning scientific discoveries into meaningful impact.


​🌟 Meet the Minds Shaping the Future

​AIAS⁺ 2026 features an exceptional lineup of researchers, scientists, and technology leaders from institutions including Stanford, MIT, UC Berkeley, UCLA, and beyond.

​Featured speakers include:

  • ​Terence Tao — Fields Medalist, Professor of Mathematics, UCLA

  • ​Yejin Choi — Professor of Computer Science, Stanford University

  • ​Jeffrey Ullman — Turing Award Laureate, Professor Emeritus, Stanford University

  • ​Daphne Koller — Founder & CEO, insitro; Co-founder, Coursera

  • ​James J. Collins — Professor, MIT; Pioneer in Synthetic Biology

  • ​Michael I. Jordan — Professor Emeritus, UC Berkeley

  • ​Karl Deisseroth — Professor of Bioengineering and Psychiatry, Stanford University

  • ​Tianqiao Chen — Founder, Chen Institute

  • ​Sarah A. Soule — Dean, Stanford Graduate School of Business

​And many more distinguished voices from AI research, biotechnology, neuroscience, entrepreneurship, and investment.

​Speaker lineup and program are subject to updates.


​🚀 Explore the Next Frontiers of AI

​Across three days of keynote presentations, research sessions, workshops, and industry discussions, discover how AI is reshaping:

​🧬 AI for Biology & Medicine

​Explore drug discovery, synthetic biology, brain-computer interfaces, personalized medicine, and AI-powered biomedical innovation.

​🧠 AI, Neuroscience & Human Intelligence

​Discover how artificial intelligence can accelerate our understanding of the brain, mental health, and human cognition.

​🔬 AI Scientists & Autonomous Discovery

​Explore the emerging role of AI agents in scientific reasoning, hypothesis generation, experimentation, and research automation.

​🤖 Robotics, Embodied AI & Intelligent Systems

​Examine the intersection of machine learning, physical intelligence, autonomous laboratories, and next-generation robotic systems.

​💡 AI, Startups & Venture Capital

​Connect groundbreaking science with entrepreneurship through startup presentations, investor discussions, and commercialization opportunities.

​🌍 Trustworthy AI & the Future of Society

​Discuss how scientific discoveries generated by AI can be evaluated, verified, and trusted — and how AI may reshape education, research, and institutions.


​🤝 More Than a Conference — A Place for Collaboration

​Great discoveries rarely happen in isolation.

​AIAS⁺ 2026 creates opportunities for meaningful interaction between academic researchers, founders, technology leaders, and investors.

​What to expect:

  • ​Inspiring keynote presentations and scientific discussions

  • ​Parallel research sessions and specialized workshops

  • ​Startup spotlights and venture capital panels

  • ​Scientific poster presentations and research exchanges

  • ​Networking lunches and evening conversations

  • ​Opportunities to build cross-disciplinary research and industry collaborations

​Whether you're exploring foundational AI, building a deep-tech startup, investing in emerging scientific technologies, or seeking your next research collaboration, AIAS⁺ 2026 offers a unique environment to connect ideas with opportunity.


​🎯 Who Should Attend?

​AIAS⁺ 2026 is designed for:

  • ​AI researchers, scientists, and academic faculty

  • ​Founders and entrepreneurs building AI and deep-tech companies

  • ​Venture capitalists and technology investors

  • ​Engineers and technology industry professionals

  • ​Biotechnology, healthcare, robotics, and semiconductor innovators

  • ​University students and emerging researchers

  • ​Anyone passionate about the future of AI-enabled scientific discovery


​🎟️ Registration & Event Information

​Dates: November 5–7, 2026

​Venue: The Ritz-Carlton, San Francisco

​Registration Options:

​Conference registration includes access to eligible sessions and networking activities, along with breakfast, lunch, and scheduled refreshments on the day(s) covered by your pass.

​Full Agenda: https://www.aiasplus.org/agenda-details

​Conference Contact: han@gptdao.ai


​🌐 The Next Era of Science Starts Here

​The question is no longer whether artificial intelligence will change science.

​It's how far we can go when human curiosity and machine intelligence work together.

​Join the researchers, innovators, and visionaries exploring the next generation of scientific discovery.

​AIAS⁺ 2026 — Advancing Science. Empowering Discovery. Shaping Tomorrow.

​📍 San Francisco | November 5–7, 2026

​Be part of the conversation shaping the future of AI and science.

Location
The Ritz-Carlton, San Francisco
600 Stockton St, San Francisco, CA 94108, USA
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Presented by
Bay AI Circle