Towards Resilient Manufacturing Ecosystems Through Artificial Intelligence–Symposium Report

Abstract:

In 2020, the National Science and Technology Council (NSTC) Subcommittee on Advanced Manufacturing and Subcommittee on Machine Learning and Artificial Intelligence articulated cross-agency interest in organizing a symposium to outline benefits of AI adoption in manufacturing and identify issues that inhibit widescale adoption. In response, the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) sponsored a three-workshop Symposium entitled “Strategy for Resilient Manufacturing Ecosystems Through Artificial Intelligence (AI)” to seek input from industry, academia, and government experts. The workshop focused on potential roles of each sector in performing research and development (R&D) and on the implementation ideas for AI in manufacturing that could inform the development of the US Advanced Manufacturing strategic plan. The pervasive application of AI in manufacturing can provide a world-leading advantage to the US manufacturing industry. However, much faster pace of development of the skills and tools needed to accelerate industry adoption is needed. The Symposium addressed factory and intercompany solutions in conjunction with industry strategies for scaling access to data and expertise, which are largely available only through collaboration to take advantage of the value of AI. To support industry scaling and deployment, R&D is required to push these capabilities to manufacturing. However, technology R&D from concept through pre-production is not sufficient to initiate AI deployment at scale. Symposium recommendations address this issue with a roadmap organized …

Año de publicación:

2022

Keywords:

Fuente:

google