# AIAS+ 2026 — AI for Scientific Discovery AIAS+ is an annual symposium on AI for scientific discovery, with talks, workshops, and discussions on how AI can help scientists make new discoveries. It is for scientists, researchers, founders, builders, AI developers, and investors. - When: Wed, Nov 4–7, 2026 (America/Los_Angeles time) - Where: The Ritz-Carlton, San Francisco, The Ritz-Carlton, San Francisco, 600 Stockton St, San Francisco, CA 94108, USA, United States - Format: In person - Type: Conference - Topics: AI, ML research - For: AI & ML engineers, Data professionals, Researchers, CTOs & tech leads - Price: Free - Organizer: Chen Institute - Register and details: https://luma.com/kt4joasn ## About 🎟 Please note: Registering on Luma does NOT register you for AIAS+ 2026 or give you access to the conference. All official tickets are sold only at https://www.aiasplus.org/. Anyone not registered through our official website will not be admitted. AI for Science has arrived. The hard questions are just beginning. ❓How far can the AI scientist go? ❓What becomes of the human scientist? ❓And how do we protect science along the way? AIAS+ (AI Advancing Science & Society) is an annual symposium hosted by the Tianqiao and Chrissy Chen Institute. In 2026, the symposium returns for its second edition, bringing together more than 100 leading scientists, AI developers and investors, including a 2026 Nobel laureate, a Turing Award winner and Fields Medalists. The program includes talks, workshops, and discussions on how AI can help scientists make new discoveries. Interested in AIAS+? Click Request to Join to share your interest. We'll follow up by email with conference and registration details. This does not reserve a conference seat or include a ticket. Ready to register? Get your conference ticket on the official website → For Scientists & Researchers Where does AI fall short in your research, and what would you want it to do next? Bring your questions about reliability, scientific judgment and the scientist’s evolving role. Exchange perspectives with people building AI and those putting it to work in science. For Founders & Builders What stands between a promising AI demo and a… ## Links - On the map: https://events.intentface.com/e/aias-2026-ai-for-scientific-discovery-san-francisco-2026-11 - As JSON: https://events.intentface.com/api/events/aias-2026-ai-for-scientific-discovery-san-francisco-2026-11 - More events like this: https://events.intentface.com/llms.txt From Intentface Events, https://events.intentface.com