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IRES Track I: Novel international student experiences in smart manufacturing and AI for industry 4.0

IRES Track I: Novel international student experiences in smart manufacturing and AI for industry 4.0
IRES Track I:国际学生在工业 4.0 智能制造和人工智能方面的新体验
批准号:
2107572
负责人:
Amarnath Banerjee
金额:
$29.83万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-07-01 至 2024-06-30

项目摘要

项目成果

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中文摘要
翻译
该项目旨在法国普罗旺斯的艾克斯建立一个面向学生的国际研究体验网站,专注于智能制造和工业4.0的人工智能。美国劳工标准局观察到,智能制造和人工智能(AI)是进入工业劳动力的主要知识缺口,这种技能缺口可能导致未来十年2.5万亿美元的经济产出损失。这一差距还可能阻碍实现高绩效和可持续工业实践所需的关键科学发现和技术创新。该项目通过向不同群体的美国工程学学生传授世界级的智能制造和人工智能研究技能,通过国际队列经验,有助于解决美国经济可持续发展的这一关键差距。它将为进入知识的劳动力提供最先进的行业规模的机器和平台的动手技能。它还将灌输超越文化障碍的能力,并利用大西洋两岸的资源,有效地应对该行业正在出现的质量、可持续性、安全和生产率挑战。该项目还将拓宽专业网络,加深不同学生群体与该行业的关系,并向学生介绍创新和技术开发方面的国际做法。总而言之,拟议的研究经验将有助于发展一支多元化的、参与全球的美国劳动力队伍,在对国家经济具有巨大价值的领域拥有世界级的技能。该项目将在法国普罗旺斯艾克斯的大理工学院Art et Métiers主办。该项目为不同类别的学生提供为期七周的研究经验和实习计划,为期三年,重点是新兴工业时代的智能制造和人工智能(AI)。PI和国际东道主目前共同领导着德克萨斯A&A;M Engineering和Art et Métiers之间的跨大西洋合作伙伴关系,并发起了研究合作,并与欧洲的行业建立了一个专注于智能制造和人工智能的财团。作为这一合作关系的一部分,共有75名留学生和一名暑期实习生在Art et Métiers和Henri Fabre TechnoCenter度过了8周,Henri Fabre TechnoCenter是在法国南部地区建立的一个独特的公私合作联盟。利用这些努力,确定了四个广泛的项目主题,为学生提供世界级的研究实习体验。每个项目都需要学生小组与行业合作伙伴(如空中客车、Essilor、Sateco、道达尔)合作,推动人工智能/数据科学的理论和方法,以应对新兴制造平台(如3-D打印、快速铸造、可持续加工)中的特定挑战。除了在主办地点提供独特的行业规模试验台的实践经验外,拟议的项目还将以各种创新的丰富活动(例如,为地球而发明)以及与欧洲行业的互动为特色。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project aims to establish an International Research Experience for Students Site focused on Smart Manufacturing and AI for Industry 4.0 at Aix en Provence, France. The U.S. Bureau of Labor Standards observes that Smart Manufacturing and Artificial Intelligence (AI) are among the chief knowledge gaps of the entering industrial workforce, and this skill gap can lead to $2.5 trillion economic output loss in the next decade. This gap may also impede key scientific discoveries and technological innovations necessary for realizing high-performance and sustainable industrial practice. This project contributes to addressing this critical gap to the nation’s economic sustainability by imparting diverse groups of US engineering students world-class research skills in smart manufacturing and AI through international cohort experiences. It would provide the entering knowledge workforce with hands-on skills in the state-of-the-art industry-scale machines and platforms. It would also instill the abilities to transcend cultural barriers and harness transatlantic resources to effectively deal with the emerging quality, sustainability, security, and productivity challenges of the industry. The project will also broaden professional networks, deepen relationships of a diverse student cohort with the industry, and introduce students to international practices in innovation and technology development. Taken together, the proposed research experiences will contribute to the development of a diverse, globally-engaged US workforce with world-class skills in the area of immense value to the nation’s economy.The project will be hosted at Arts et Métiers, the Grande Ecole of Technology at Aix en Provence, France. The project offers a seven weeks long research experience and internship program for a diverse cohort of students for three years, focusing on Smart Manufacturing and Artificial Intelligence (AI) for the emerging industrial era. The PI and the international host currently co-lead a transatlantic partnership between Texas A&M Engineering and Arts et Métiers, and have initiated research collaborations and a consortium with the industry in Europe focused on smart manufacturing and AI. As part of this partnership, a total of 75 study abroad students and one summer intern spent 8 weeks at Arts et Métiers as well as Henri Fabre Technocenter, a unique public-private partnership consortium established in the South France region. Leveraging these efforts, four broad project themes have been identified to provide world-class research internship experiences to students. Every project will require the student group to engage the industry partner (e.g., Airbus, Essilor, Sateco, Total) to advance the theory and methods of AI/data science to address a specific challenge in an emerging manufacturing platform (e.g., 3-D printing, rapid casting, sustainable machining). Besides providing hands-on experiences with unique industry-scale testbeds at the host location, the proposed project will feature a variety of innovative enrichment activities (e.g., Invent for the Planet) and interactions with the European industry.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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