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Chen Institute Opens Public Registration for Symposium on AI Accelerated Science
Join Us in San Francisco, October 27-28! Redwood City. June 9, 2025: The Tianqiao and Chrissy Chen Institute today announced that free registration to attend “AIAS 2025: the Chen Institute Symposium for AI Accelerated Science” on October 27-28th in San Francisco is now open at www.AIAS2025.org. Jennifer Doudna, Nobel Laureate in Chemistry, Li Ka Shing […]
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Tianqiao and Chrissy Chen Institute Hosts 2025 Parametric Memory Workshop: Advancing AI for Scientific Discovery
Two-day meeting also included a hack-a-thon jointly hosted with AGI House to explore key themes. Redwood City, WA – May 31, 2025 — The Tianqiao and Chrissy Chen Institute (TCCI) proudly announces the successful convening of the 2025 AGI House Joint Parametric Memory Workshop, a landmark event on May 30th, bringing together global leaders in […]
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Tianqiao Chen and Chrissy Luo Donate RMB 50 Million to Fudan University’s New Engineering Development Fund
On May 27, coinciding with the 120th anniversary celebrations of Fudan University, Tianqiao Chen, a Fudan University Board Member and 1990 alumnus of the School of Economics, as well as founder of Shanda Group and Tianqiao and Chrissy Chen Institute, and his wife Chrissy Luo, donated RMB 50 million (approximately US $7 million) to the […]
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Chen Institute Symposium for AI Accelerated Science 2025: Call for Papers!
Call for Papers! Join us in San Francisco at AIAS 2025, for the first annual “Chen Institute Symposium for AI Accelerated Science” October 27-28th where our 2024 AI Prize winners will present their work alongside Nobel Laureates Jennifer Doudna and David Baker, industry luminaries and well-known academia. Deadline: August 1st This call for papers invites […]
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Artificial intelligence models using F-wave responses predict ALS
Chen Scholar, Nathan P. Staff, M.D., Ph.D. a Professor of Neurology at the Mayo Clinic College of Medicine and Science, and colleagues recently published research in the journal Brain which focuses on improving the diagnosis and prognosis of amyotrophic lateral sclerosis (ALS), a severe motor neuron disease, using advanced artificial intelligence (AI) techniques. ALS is […]
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Chen Institute Hosts World-leading Experts for Two-Day Meeting on FUS Neuromodulation
Group discusses promising areas for breakthroughs in the non-invasive technology. On January 9-10, the Chen Institute hosted leaders in the field of Focused Ultrasound (FUS) for an invitation-only meeting centered on the current state and future potential of FUS neuromodulation. During the meeting, attendees discussed some of the latest advances and explored the collective, potential […]
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2024 TCCI Holidays Newsletter
Dear Friends, Happy Holidays to everyone. It’s hard to believe that another year has passed us by but what a year it was! We have so much to celebrate with you. For example, we just closed the applications portal for the inaugural “Chen Institute and Science Prize for AI Accelerated Research.” This exciting prize seeks innovative applications of AI in life or physical sciences. Winners will be announced mid-2025.
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How Different Learning Modes May Explain Problem Gambling
Caltech’s John O’Doherty is on a quest to understand how human brains make decisions: how they gather evidence about their environments and their own impacts on these environments and then apply this information to their decision-making. Researchers in his lab examine subjects to find how brains learn from positive and negative feedback, and why some […]
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Thinking Slowly: The Paradoxical Slowness of Human Behavior
Caltech researchers have quantified the speed of human thought: a rate of 10 bits per second. However, our bodies’ sensory systems gather data about our environments at a rate of a trillion bits per second, which is 100 million times faster than our thought processes. This new study raises major new avenues of exploration for […]
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Improving Brain–Machine Interfaces with Machine Learning
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals associated with a particular thought and converts them into control signals that are fed into a computer or a robotic limb. For example, a quadriplegic […]