Workshop: Aligning AI and U.S. Advanced Manufacturing Competitiveness

研讨会：人工智能与美国先进制造业竞争力的结合

• 批准号: 2049670
• 负责人: James Davis
• 金额: $ 9.83万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2049670&HistoricalAwards=false
• 关键词: Workshop; Aligning; AI; U.S.; Advanced

The Workshop on Aligning AI and U.S. Advanced Manufacturing Competitiveness will convene the advanced manufacturing research and practitioner communities, relevant companies, federal agencies and national laboratories and the Manufacturing USA Institutes and experts in artificial intelligence (AI) and machine learning (ML) applications, information technology, and computer science to comprehensively assess the role of AI in manufacturing competitiveness. The workshop, held under the auspices of the Subcommittee on Advanced Manufacturing and the Subcommittee on Machine Learning and Artificial Intelligence of the National Science and Technology Council, seizes on a moment of opportunity that results from the converging effects of the accelerating digital transformation of the global manufacturing industry, major global competitiveness drivers for both advanced manufacturing and AI/ML, and the sustained impacts of the COVID-19 pandemic on manufacturing supply chains. When taken together, there emerges a need to: accelerate a U.S. manufacturing consensus on resilient manufacturing as a priority, address how the digital transformation of manufacturing shapes and is shaped by that transformation, and focus national attention on AI/ML technologies in the context of the nation’s manufacturing priorities. The workshop will be a professionally-managed, virtual teleconference that will emphasize the following manufacturing priorities related to digitalization: manufacturing ecosystem and supply chain restructuring, connectedness, visibility, interoperability, and agility in preparing for and responding to global and national disruptions; greater performance and precision in advanced process and machine operations as key assets in resilient manufacturing ecosystems; a safe and healthy, broadly-skilled, and data-savvy workforce that can be more flexibly deployed; and industry data flow and exchange, cyber opportunity, and national cyber and data security. The workshop will generate a cross-stakeholder consensus on what roles AI has and can have in improving U.S. manufacturing competitiveness and promoting collaboration by the advanced manufacturing and AI/ML research communities in formulating a national strategy that encompasses the workforce, technology and implementation.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.

人工智能与美国先进制造业竞争力研讨会将召集先进制造业研究和从业者社区，相关公司，联邦机构和国家实验室以及美国制造业研究所和人工智能（AI）和机器学习（ML）应用，信息技术和计算机科学专家，全面评估人工智能在制造业竞争力中的作用。该研讨会由国家科学技术理事会先进制造小组委员会和机器学习与人工智能小组委员会主办，抓住了全球制造业加速数字化转型的融合效应带来的机遇，这是先进制造业和AI/ML的主要全球竞争力驱动力，以及COVID-19疫情对制造业供应链的持续影响。 总的来说，有必要：加速美国制造业对弹性制造的共识，将其作为优先事项，解决制造业的数字化转型如何塑造以及如何被这种转型塑造，并在国家制造业优先事项的背景下将全国的注意力集中在AI/ML技术上。该研讨会将是一个专业管理的虚拟电话会议，将强调以下与数字化相关的制造业优先事项：制造生态系统和供应链重组，连通性，可见性，互操作性以及准备和应对全球和国家中断的敏捷性;先进工艺和机器操作的更高性能和精度是弹性制造生态系统的关键资产;安全健康、技能广泛、精通数据的劳动力，可以更灵活地部署;行业数据流和交换、网络机会以及国家网络和数据安全。 该研讨会将就人工智能在提高美国制造业竞争力和促进先进制造业和人工智能/机器学习研究社区在制定涵盖劳动力的国家战略方面所发挥的作用以及可以发挥的作用达成跨利益相关者共识。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。