Conference: NSF Workshop on AI-Enabled Scientific Revolution

会议：美国国家科学基金会人工智能支持的科学革命研讨会

• 批准号: 2309660
• 负责人: Vipin Kumar
• 金额: $ 5万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2309660&HistoricalAwards=false
• 关键词: Conference; NSF; Workshop; AI; Enabled

Artificial Intelligence (AI) is poised to disrupt science by unlocking new approaches that enable scientific advances with far-reaching societal consequences. However, there are critical issues to be addressed as AI now relies on primarily on training systems based on big, labeled data corpora, which is not an option in all areas of science. This workshop will bring together leading researchers in AI and scientific domains to identify key challenges and opportunities to dramatically accelerate the AI for science revolution. The workshop will be focused on developing a vision and strategy for catalyzing the next-generation AI-enabled science. An AI-enabled fourth industrial revolution will be key to addressing the biggest global societal challenges (feeding the growing population without destroying the planet, improving human health, renewable energy, mitigating and managing climate change, and creating a sustainable and just society). Leadership in AI is also critical for the economic prosperity and wellbeing of our country (e.g., developing the industries and workforce of the future).This workshop will lead the discussion on a new frontier in AI, where novel AI frameworks will drive scientific inquiry, suggest novel experiments, elucidate new theories, and thus revolutionize the traditional discovery process across multiple scientific disciplines. It will identify limitations of the current state-of-the-art in AI for existing scientific grand challenge problems, and lay out the strategies for designing building blocks for translational use-inspired research that will have transformative and long-lasting scientific and societal impact. In particular, there is a tremendous opportunity for (1) advancing frontiers of AI that are driven by the unique needs of scientific problems, and (2) taking advances made in the context of specific scientific domains to many other domains. In addition, challenges unique to scientific problems also offer an opportunity to advance AI, leading to a virtuous cycle of fundamental AI research driving scientific discovery, and use-inspired challenges in scientific problems advancing the frontiers of AI. The workshop will help build a collaborative community of scholars and practitioners across scientific disciplines to explore a set of potential research themes that are foundational and translational.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

人工智能 (AI) 有望通过开启新方法来颠覆科学，从而推动科学进步并产生深远的社会影响。然而，还有一些关键问题需要解决，因为人工智能现在主要依赖于基于大型标记数据语料库的训练系统，这并不是所有科学领域都可以选择的。本次研讨会将汇集人工智能和科学领域的领先研究人员，以确定显着加速人工智能科学革命的关键挑战和机遇。该研讨会将重点关注制定促进下一代人工智能科学的愿景和战略。由人工智能推动的第四次工业革命将是解决全球最大社会挑战的关键（在不破坏地球的情况下养活不断增长的人口、改善人类健康、可再生能源、缓解和管理气候变化以及创建可持续和公正的社会）。人工智能领域的领导力对于我们国家的经济繁荣和福祉也至关重要（例如，发展未来的产业和劳动力）。本次研讨会将引导关于人工智能新领域的讨论，其中新颖的人工智能框架将推动科学探究，提出新颖的实验，阐明新的理论，从而彻底改变跨多个科学学科的传统发现过程。它将确定当前人工智能技术对现有科学大挑战问题的局限性，并制定为转化使用启发的研究设计构建模块的策略，这些研究将产生变革性和持久的科学和社会影响。特别是，（1）由科学问题的独特需求驱动的人工智能前沿发展，以及（2）将特定科学领域取得的进展应用于许多其他领域，存在着巨大的机会。 此外，科学问题特有的挑战也为推进人工智能提供了机会，从而形成推动科学发现的基础人工智能研究的良性循环，以及推动人工智能前沿发展的科学问题中受使用启发的挑战。该研讨会将帮助建立一个由跨科学学科的学者和从业者组成的协作社区，以探索一系列潜在的基础性和转化性研究主题。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和技术进行评估，被认为值得支持。更广泛的影响审查标准。