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Travel Grant: Conference on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication, and Control

Travel Grant: Conference on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication, and Control
差旅补助金:网络动态系统新领域会议:有保证的学习、通信和控制
批准号:
2335461
负责人:
Prakash Narayan
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2023-08-15 至 2024-07-31

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中文摘要
翻译
随着无处不在的连接,大规模数据收集以及近年来数据驱动的人工智能(AI)的显着成功,我们已经到了一个转折点。考虑先进的数据驱动人工智能技术将如何影响涉及人类和机器代理以及物理基础设施的网络动态系统的时机已经成熟。本次研讨会将汇集来自学术界,政府和工业界的领先专家,以帮助确定在这一关系的研究和教育有前途的方向。研讨会将包括特邀演讲、小组讨论和集思广益会议。在数据驱动的创新和系统设计之间取得适当的平衡将是对话的重要组成部分。专题讨论会的成果将包括一份从小组讨论和集思广益会议中提炼出来的会议报告。该报告将帮助政府和行业管理者/利益相关者了解这一重要领域的新方向和重大挑战,这些挑战将直接影响未来几十年国家的竞争力和安全。研讨会将有助于确定新的研究方向的关键领域的关键利益的NSF和国家的研究企业的十字路口。NSF的工程理事会有多个与人工智能和人工智能系统相关的主要研究项目。小组讨论,会谈,头脑风暴会议和最终的研讨会报告将通知NSF和其他政府利益相关者谁赞助和利用这些关键领域的研究和开发。我们如何有效地教经验数据驱动和“硬科学”的方法在相同的总学分?这是将在研讨会上讨论的关键问题之一,也是我们重新设计工程课程以适应数据驱动的人工智能革命时面临的最重要问题之一。将世界级专家聚集在一起,讨论并提供关于这个问题和其他相关问题的见解,对于下一代精通AI的系统和控制工程师来说具有巨大的价值。此外,主办方将邀请选定的学生参加研讨会,特别注意女性和URM的代表性。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
英文摘要
With the advent of ubiquitous connectivity, large-scale data collection, and the remarkable successes of data driven artificial intelligence (AI) in recent years, we have come to a turning point. The time is ripe to consider how advanced data-driven AI technology will impact networked dynamical systems involving both human and machine agents together with physical infrastructure. This symposium will bring together leading experts from academia, government and industry to help identify promising directions in research and education at this nexus. The symposium will comprise invited talks, panel discussions, and brainstorming sessions. Striking the right balance between data-driven innovations and systematic design will be an important part of the conversation. The outcomes of the symposium will include a meeting report distilled out of the panel discussions and the brainstorming sessions. The report will help inform government and industry stewards / stakeholders about new directions and grand challenges in this important area that will directly impact the nation's competitiveness and security in the coming decades. The symposium will help identify new research directions at the crossroads of key areas of critical interest to NSF and the nation's research enterprise. NSF's Engineering Directorate has multiple major research programs related to AI and AI-enabled systems. The panel discussions, talks, brainstorming sessions, and the final symposium report will inform NSF and other government stakeholders who sponsor and exploit research and development in these critical areas. How do we effectively teach both empirical data-driven and “hard-science” methodology at the same overall number of credit hours? This is one of the key issues that will be discussed at the Symposium, and one of the most important questions we face as we redesign engineering curricula to accommodate the data-driven AI revolution. Bringing together world-class experts to discuss and offer insights on this and other related issues is of tremendous value for the next generation of AI-savvy systems and control engineers. In addition, the organizers will invite select students to participate in the Symposium, paying particular attention to female and URM representation.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.
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