| Abstract Scope |
The convergence of various technologies, including traditional materials processing, robotics, computational modeling, sensing and control, along with machine learning and artificial intelligence, significantly influences our daily lives and the future workforce in manufacturing and emerging technologies. This presentation will explore challenges and opportunities highlighted by the recent state of U.S. science and engineering indicators [1], emphasizing the expansion of our workforce trained in science, engineering, technology, and mathematics fields. It will also delve into emerging innovations such as large language modeling and low-cost additive manufacturing tools, which support the technical workforce at various career stages, ensuring their relevance in manufacturing high-value-added components. The discussion will include case studies related to aerospace, energy, and defense applications to illustrate this approach.
Reference:
[1] https://ncses.nsf.gov/pubs/nsb20243 |