NIST AWARDS PREDICTRONICS AND PARTNERS, FUNDING INNOVATION EFFORTS IN SEMICONDUCTOR MANUFACTURING
SEPTEMBER 22, 2022
We are excited to announce that the University of Cincinnati and its partners, including Predictronics, have been awarded by the National Institute of Standard and Technology and chosen to be part of the NIST Advanced Manufacturing Technology Roadmap Program.
With this funding, the University of Cincinnati, Predictronics, the University of Michigan, and the North Carolina Agricultural and Technical State University, will develop a roadmap to advance the future of intelligent semiconductor manufacturing in the U.S. by defining the needs, barriers, applications, and priority research areas within the industry.
“Ohio has a proud history of leading the country in manufacturing innovation. We’re building on that legacy by making new investments in manufacturing research, which will help create jobs,” said Sherrod Brown, U.S. Senator for Ohio.
The roadmap will not only help improve the competitiveness of the U.S. semiconductor industry within the overall global market, but it will also be beneficial to other high-mix sectors, such as medical products, pharmaceuticals, and energy storage.
“This NIST grant will enable us to develop new innovative manufacturing technologies aligned with industry needs that will strengthen long-term U.S. leadership in manufacturing and result in sustainable economic growth and job creation,” said Jay Kim, Department Head and Professor at the University of Cincinnati College of Engineering and Applied Science.
In this endeavor through NIST, we will also work together to establish a U.S.-based AI consortium to address technical challenges faced in high-mix production.
Other unfunded partners involved in our efforts include Applied Materials; Boston Micros Fabrication; Ethicon Endo-Surgery Inc., A Johnson & Johnson Company; and L3Harris, Space and Airborne Systems.
Not only this, but our development team will collaborate with a vast array of semiconductor manufacturing OEMs, fabs, technology providers, consortiums, and research labs, among others. The targeted industry partners include key players, such as Intel, Apple, Seagate, Texas Instruments, Silfex, Micron, LAM Research, ENGIE, Ethicon, Global Foundries, and more.
Predictronics is proud to be part of this joint venture and to continue our work in the semiconductor industry.
Our company is the only provider of commercially deployable predictive solutions for semiconductor manufacturing involved in this roadmap enterprise. Predictronics’ proven AI-driven solutions for Virtual Metrology, Chamber Matching, Anomaly Detection, and Predictive Maintenance can support the semiconductor industry as processes continue to advance to 7nm, 5nm, 3nm, and beyond.
- Detect, predict, and prevent quality issues
- Improve production yield
- Reduce wasted production time and energy
- Limit reliance on costly measurements
- Improve product quality
- Reduce planned downtime
- Detect, predict, and prevent failures
- Reduce downtime
- Maximize part usage
- Detect quality issues during production
- Improve product quality
With Predictronics’ experience in developing and deploying these solutions, we can guide our partners in this undertaking and help them accurately understand the challenges, best practices, data required, and real-world benefits of AI-based data-driven technologies and innovation in semiconductor manufacturing, as well as other high-mix industrial sectors.
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