Serial Entrepreneur Tianqiao Chen Presents Vision for “Discoverative” Intelligence at AIAS2025
Serial Entrepreneur Tianqiao Chen Presents Vision for “Discoverative” Intelligence at AIAS2025
Tianqiao Chen unveiled “Discoverative Intelligence” at AIAS2025, pledging $1B to advance Structured Temporal Intelligence for AI that discovers, not mimics.
Tianqiao Chen unveiled “Discoverative Intelligence” at AIAS2025, pledging $1B to advance Structured Temporal Intelligence for AI that discovers, not mimics.
San Francisco, CA, October 28, 2025 — Serial entrepreneur and philanthropist Tianqiao Chen today announced a $1 billion commitment to revolutionize artificial intelligence, unveiling his vision for “Discoverative” Intelligence (a play on the term “generative”) at the inaugural Chen Institute Symposium for AI Accelerated Science (AIAS2025.org).
Rather than simply scaling existing AI models, Chen's bold initiative introduces Structured Temporal Intelligence (STI)—a brain-inspired framework designed to transform AI from mimicking human output to actively making groundbreaking scientific discoveries. Speaking to leading researchers at www.aias2025.org, Chen positioned this initiative as a critical inflection point and specifically targets structural AI research that could enable machines to become true partners in scientific discovery.
Tianqiao Chen: “Human evolution has never stopped; it has changed its form. Our tools—now including AI—are the external organs of evolution. The ultimate value of AI is discovery: systems that pose new questions, uncover causal structure, and generate knowledge. That is what I call “Discoverative” Intelligence.”
Jennifer Chayes, Dean, UC Berkeley College of Computing, Data Science, and Society: “Discoverative intelligence is the perfect term to describe the iterative process of integration of generative AI, massively parallel experimentation, and human-guided creativity. Discoverative intelligence is the future of science, and will lead to tremendously accelerated discoveries in biomedicine and health, climate and sustainability, and human welfare.”
President Emeritus of Stanford University, Chairman of Alphabet Inc.: “Science is fundamentally about discovery, and discoverative AI captures the essence of applying AI to science, namely to speed up and enhance discovery!”
From Scale to Structure
Chen contrasted two dominant routes in AI development. The “Scaling Path,” has delivered impressive applications by pushing parameters, data, and compute. The “Structural Path,” by contrast, focuses on the cognitive anatomy of intelligence—how a system operates through time.
His Structured Temporal Intelligence (STI) agenda specifies five capabilities that together form a closed loop of living, discovery‑oriented intelligence:
Neural Dynamics — sustained, self‑organizing activity so the system remains alive in time.
Long‑Term Memory — flexible storage and selective forgetting to build knowledge and form hypotheses.
Causal Reasoning — inferring mechanisms that hold beyond the training distribution.
World Modeling — an internal, unified simulation for predicting futures and testing ideas mentally.
Metacognition & Intrinsic Motivation — uncertainty awareness, attention control, and curiosity‑driven exploration.
“Structure is the steering wheel; scale is the engine,” Chen said. “If we want AI that discovers, we must engineer time‑aware structure, not just add parameters.”
Commitments to Accelerate the Shift
To help researchers pursue this agenda, Chen highlighted four practical commitments aimed especially at early‑career scientists:
Compute for Structure — he is committing more than $1 billion for clusters prioritized for structural experiments (memory systems, causal architectures, neurodynamic hypotheses).
Global Research Hubs — Collaboration spaces operating in Silicon Valley, Tokyo, Beijing, Shanghai, Hong Kong, and Singapore, with Toronto and Europe forming.
STI Benchmark — A comprehensive evaluation suite across neural dynamics, memory, causality, world models, and metacognition, with discoverability as the core metric.
PI Incubator — Independent pathways for PhD students and postdocs to establish named labs, lead teams, and pursue bold ideas without waiting on traditional timelines.
“Scale is the path of giants; structure is the opportunity for the young,” Chen added. “The next algorithm that truly transforms intelligence won’t appear in a data center—it will appear in a notebook.”
About Tianqiao Chen
Tianqiao Chen is a serial entrepreneur and philanthropist known for founding and scaling technology ventures and for advancing initiatives at the intersection of artificial intelligence, neuroscience, and scientific discovery. His current work centers on “Discoverative” Intelligence and Structured Temporal Intelligence, aiming to create AI systems that act as collaborative partners in the scientific process.
About AIAS2025 and Event Speakers
Organized in partnership with UC Berkeley College of Computing, Data Science, and Society, AIAS2025 (www.aias2025.org) is a two-day gathering focused on promoting cutting-edge ways that AI is accelerating scientific discovery across disciplines.
This year’s program featured presentations from three Nobel Laureates – Jennifer Doudna, David Baker, and Omar Yaghi. It also included a wide slate of academic and industry leaders, including distinguished academy members detailed in the fact sheet below.
The Chen Institute and Science AI Prize for Accelerated Research Grand Prize Winner, Zhuoran Qiao, and finalists Aditya Nair and Alizée Roobaert also presented their research after receiving their awards.
Talks highlighted generative modeling for molecules and materials, AI‑driven experimental automation, climate and earth‑systems modeling, and next‑generation memory and reasoning architectures.
Read about Tianqiao Chen’s vision here:
Media Contact
Jason Reindorp
Press Contact for Tianqiao Chen
jason.reindorp@shanda.com | +1 (206) 225-1570
Full List of AIAS2025 Speakers
Listed in alphabetical order:
Animashree Anandkumar — Bren Professor of Computing and Mathematical Sciences, California Institute of Technology.
David Anderson — Seymour Benzer Professor of Biology; Tianqiao and Chrissy Chen Institute for Neuroscience Leadership Chair; Investigator, Howard Hughes Medical Institute; Director, Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology.
David Baker — Nobel Laureate in Chemistry; Henrietta Aubrey Davis Endowed Professor of Biochemistry, University of Washington.
Chris Bishop — Technical Fellow, Director of Microsoft Research AI for Science.
Jennifer Chayes — Dean of the College of Computing, Data Science, and Society, University of California, Berkeley.
Tianqiao Chen — Founder, Shanda Group.
Jia Deng — Professor of Computer Science, Princeton University.
Jennifer Doudna — Nobel Laureate in Chemistry; Li Ka Shing Chancellor’s Chair in Biomedical and Health Sciences; Professor of Biochemistry, Biophysics, and Structural Biology, University of California, Berkeley.
John Hennessy — President Emeritus of Stanford University; Chairman of Alphabet Inc.
Jiantao Jiao — Director of Research and Distinguished Scientist, NVIDIA and Professor of Electrical Engineering & Computer Sciences, University of California, Berkeley.
Hamid Karimian — Research Assistant Professor of Computer Science and Engineering, Michigan State University.
Parisa Kordjamshidi — Associate Professor of Computer Science and Engineering, Michigan State University.
Heather J. Kulik — Lammot du Pont Professor of Chemical Engineering and Chemistry, Massachusetts Institute of Technology.
Yan Li — Executive Director of Scientific Programs, Chen Institute.
Zhandong Liu — Associate Professor of Neurology and Co-Director of the Quantitative & Computational Biosciences Graduate Program, Baylor College of Medicine.
Chrissy Luo — Co-Founder, Tianqiao and Chrissy Chen Institute; Co-Founder, Vice Chair & President, Shanda Group.
Theresa Maldonado — AAAS President, University of California Office of the President.
Tom Miller — Co-Founder and CEO, Iambic Therapeutics.
Aditya Nair — Nanyang Assistant Professor of Neuroscience & AI, LKC Medicine–NTU Singapore.
Jian Pei — Arthur S. Pearse Distinguished Professor of Computer Science, Duke University.
Pietro Perona — Allen E. Puckett Professor of Electrical Engineering; Director, Information Science and Technology, California Institute of Technology.
Angela Pisco — Director of Data Science, CZI.
Zhuoran Qiao — Founding Scientist, Chai Discovery.
Alizée Roobaert — Researcher, Flanders Marine Institute.
Stuart Russell — Distinguished Professor of Computer Science, University of California, Berkeley.
Maryam Shanechi — Alexander A. Sawchuk Chair in Electrical and Computer Engineering and Professor of Electrical and Computer Engineering, Biomedical Engineering, and Computer Science, University of Southern California.
Widya Mulyasasmita — Co-Founder & Managing Partner, BEVC.
Omar M. Yaghi — Nobel Laureate in Chemistry; James and Neeltje Tretter Chair Professor of Chemistry, University of California, Berkeley.
Yannis C. Yortsos — Dean of the USC Viterbi School of Engineering; Zohrab Kaprielian Dean’s Chair in Engineering, University of Southern California.
Larry Zitnick — Research Scientist in the Fundamental AI Research (FAIR) team at Meta AI.
