Core Insights - The first "AI-Driven Scientific Symposium" was held in San Francisco, featuring Nobel laureates and industry leaders discussing how AI can drive scientific discovery [1][2] - Chen Tianqiao announced a $1 billion investment in computational power to support global scientists in "discovery-driven intelligence" research [1] - The symposium highlighted the importance of AI's role in constructing verifiable world models and enhancing human capabilities rather than replacing them [1] Group 1: AI in Scientific Research - Chen Tianqiao emphasized the need for "discovery-driven intelligence" to possess five key capabilities: neural dynamic structure, long-term memory, causal reasoning mechanisms, world models, and metacognitive systems [1] - Omar Yaghi showcased AI's application in materials science, demonstrating a portable device that extracts water from the atmosphere in low humidity conditions using ChatGPT for molecular optimization [1][2] - David Baker presented the RFDiffusion3 model, which enables reverse design of proteins, providing new pathways for research on diseases like Alzheimer's [2] Group 2: AI and Genetic Research - Jennifer Doudna discussed the integration of AI with CRISPR technology, highlighting its potential to enhance understanding of unknown gene functions and advance personalized gene therapy [2] - The symposium concluded with the "AI-Driven Science Prize," recognizing young scientists for their cutting-edge research, indicating a shift towards AI-driven paradigms across multiple disciplines [3] Group 3: Societal Implications of AI - John Hennessy reflected on the rapid adoption of AI, stressing the need for humans to retain key decision-making authority and ensure transparency in AI-generated content [2] - He warned about the potential depletion of global data for AI training in the coming years, noting that improvements in computational energy efficiency have not kept pace with growth [2]

Core Points - The first "Tianqiao Brain Science Institute and Science Magazine AI-Driven Science Award" winners have been announced, with a total cash prize of $50,000 awarded to three researchers [2][3] - The award aims to recognize innovative research that utilizes AI to empower scientific discoveries [2] Summary by Categories Award Winners - Dr. Zhuoran Qiao, founder scientist of Chai Discovery in San Francisco, won the grand prize of $30,000 for his research on protein folding using generative AI technology [2][3] - Two runners-up, Dr. Aditya Nair from Caltech and Stanford, and Dr. Alizée Roobaert from the Flanders Marine Institute, each received $10,000 for their respective AI solutions in neuroscience and ocean climate monitoring [2][3] Research Contributions - Dr. Qiao's work involves creating dynamic models that predict protein behavior over time and interactions with smaller molecules, providing new tools for drug discovery [2] - The runners-up focus on the integration of AI with neuroscience and innovative AI solutions for monitoring marine climate dynamics [2] Future Events - The award winners will present their research at the inaugural "Tianqiao Brain Science Institute AI-Driven Science Symposium" in San Francisco in October, alongside Nobel laureates and other leading scholars [3] - The application window for the 2025 AI-Driven Science Award will open in August [3]

Core Points - The Tianqiao and Chrissy Chen Institute and the American Association for the Advancement of Science (AAAS) announced the winners of the inaugural "AI-Driven Science Award" aimed at recognizing innovative research utilizing AI for scientific discoveries [2] - The total cash prize of $50,000 will be shared among the three winners, with their research papers published in the journal Science [2] Winners and Research Highlights - Grand Prize Winner: Dr. Zhuoran Qiao, a machine learning scientist and founder of Chai Discovery, recognized for his groundbreaking work in biochemistry using AI [3] - Honorable Mentions: - Dr. Aditya Nair, a postdoctoral researcher at Caltech and Stanford, focusing on the integration of AI and neuroscience [4] - Dr. Alizée Roobaert, a researcher at the Flanders Marine Institute, who developed innovative AI solutions to monitor ocean climate dynamics [4] Research Contributions - Dr. Qiao's research involves using generative AI to predict protein folding and create dynamic models that demonstrate how folded proteins change over time and interact with smaller molecules, providing a powerful new tool for drug discovery [5][6] - Dr. Nair's work reveals hidden interactions among neurons that form persistent patterns, which can encode and regulate long-lasting psychological or emotional states, mediated by neuropeptides [7] - Dr. Roobaert's high-resolution model of coastal carbon absorption integrates global satellite data and 18 million data points from coastal CO2 measurements, offering a comprehensive overview of the ocean's health and its role in climate science [8] Award Structure and Future Events - Dr. Qiao receives a cash prize of $30,000, while Dr. Nair and Dr. Roobaert each receive $10,000, with their papers published in the online version of Science [9] - All winners will receive a five-year subscription to Science and become honorary Chen Scholars [9] - The winners will present their research at the inaugural "AI-Driven Science Symposium" in San Francisco on October 27-28, 2025, alongside Nobel laureates and other leading scholars [9] Future Opportunities - The application window for the 2025 AI-Driven Science Award will open in August, inviting young scientists working in AI-related fields to apply [11]