Title: NSF Convergence Accelerator – A New Transition Model for Government

Douglas Maughan

National Science Foundation (NSF)

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The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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AI-Enabled Training in Manufacturing Workforce Development

BeverlyWoolf, Aritra Ghosh, Andrew Lan, Shlomo Zilberstein, Tom Juravich, Andrew Cohen, Olivia Geho

University of Massachusetts Amherst

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bev, arighosh, andrewlan, shlomo, juravich, alc, ogeho@umass.edu

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Building Ethical AI for Workforce Empowerment, Upskilling, and Reemployment in Manufacturing

Huiling Ding, Xiaolei Fang, Tim Menzies, Xipeng Shen, Min Chi

North Carolina State University

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Raleigh, NC 27695

(hding, xfang8@ncsu.edu, timm@ieee.org, xshen5, mchi@ncsu.edu)

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Towards AI-Assisted Smart Training Platform for Future Manufacturing Workforce

Weichao Wang

SIS Department

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UNC Charlotte

Charlotte, NC

wwang22@uncc.edu

Xintao Wu

CSCE Department

Univ. Arkansas

Fayetteville, AR

xintaowu@uark.edu

Pu Wang

CS Department

UNC Charlotte

Charlotte, NC

pwang13@uncc.edu

Mark Maybury

Stanley Black & Decker

Hartford, CT

mark.maybury@sbdinc

Aidong Lu

CS Department

UNC Charlotte

Charlotte, NC

alu1@uncc.edu

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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AI for Human Upskilling and Reskilling

Jennifer Thornton and Stephanie Blochinger

Business-Higher Education Forum

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2025 M St. NW, Suite 800

Washington, DC 20036

jennifer.thornton@bhef.com and stephanie.blochinger@bhef.com

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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The Elephant in the AI-enabled Factory: Data Integrity

Brad Keywell

Uptake Technologies

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600 W Chicago Ave

Chicago, IL 60654

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Real-time Analytics for IIOT

Bijan Sayyarrodsari1 and Thomas O0Reilly

The Future of Intelligent Manufacturing

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Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Sensors and AI for Factory Automation

Ola Friman

SICK

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Sensor Intelligence

www.sick.com

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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