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Find similar grantsAI in Manufacturing Seed Grants is sponsored by University of Michigan Engineering. Supports projects exploring the intersection of AI and manufacturing, including smart 3D concrete printing and AI-enabled rapid certification.
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Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Seed-networking events foster collaboration in key research areas. To support projects that explore the intersection of AI and manufacturing, the Bold Challenges initiative at the University of Michigan awarded seed funding to 10 University of Michigan Engineering faculty teams.
Among the awarded projects are efforts to use AI to: dramatically cut the time and cost required to certify new shipbuilding components, develop a smart 3D concrete printing system that uses real-time sensor data to detect and fix issues as they occur, and explore how humans and AI can work more collaboratively in smart factories.
**Awarded projects include:** ### **AI-Enabled Rapid Certification of Additive Manufacturing Process for Shipbuilding** Zhen Hu, IOE (U-M Dearborn) ### **AI-Enabled Digital Twins for Closed-Loop Robotic 3D Concrete Printing** Learn more about the project: Using AI to improve 3D printing concrete ### **AI-Driven Discovery and Additive Manufacturing of Next-Generation Magnetic Materials** ### **AI-Driven NextG Networks to Support High Fidelity and Responsive Manufacturing** Junaid Farooq, ECE (U-M Dearborn) ### **Advancing Human-AI Co-Evolution in Smart Manufacturing Systems** ### **AI-Driven Smart Sensing Manufacturing for Underwater Concrete Degradation Inspection and Repair** Xiao Zhang, Computer and Information Science (U-M Dearborn) ### **Digital Light Processing of Passive Visible Light Tags** Zheng Liu, Industrial and Manufacturing Systems (U-M Dearborn) ### **Enhancing Worker Resilience in AI-Integrated Manufacturing: Exploring Error Recovery Strategies for Human-AI Interaction Failures** Learn more about the project: U-M researchers improve human-AI teamwork in manufacturing ### **AI-Driven Efficient Photonic Manufacturing under Uncertainty** ### **Machine Learning–Enabled Smart Materials and Manufacturing for Critical Mineral Extraction and Recovery** The AI Institutes at Michigan initiative provided $42,500 for the teams pursuing projects focused on the future of manufacturing, contributing to a total of $107,500 in awards.
U-M Bold Challenges is part ofMichigan Research Launchpad, an effort by the Office of the Vice President for Research to connect researchers with the resources they need to increase their competitiveness for external funding. Read the full story Bold Challenges awards researchers exploring manufacturing and AI, future of food by Kelsey Keeves.
Based on current listing details, eligibility includes: University of Michigan Engineering faculty teams. Applicants should confirm final requirements in the official notice before submission.
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