Regional Experts: Training, Flexibility Key to Recovery September 28, 2021 Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.
Experts knock down AI barriers September 30, 2021 Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.
GE Partners With CESMII September 21, 2021 CESMII – The Smart Manufacturing Institute said it added GE Digital to its ranks of partners and members.
Hexagon’s Reverse Engineering Solution Introduced at RAPID + TCT 2021 September 16, 2021 New-to-market REcreate redefines reverse engineering with a fresh, flexible design approach.
Verisurf Selected by ScanTech for Solution Software September 9, 2021 Verisurf Scanning and Reverse Engineering Suite is bundled with each ScanTech 3D scanner sold.
Compliance as a Service Addresses Manufacturing Complexities September 27, 2021 The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.
Easy-to-Use CMMs Fit Specific Needs August 30, 2021 Industry is getting tailored applications from CMM suppliers to meet production demands. Look for more in the future.
Hexagon’s Make It Smarter America Tour Hits the Road August 11, 2021 Hexagon experts embark on a summer mission to make manufacturing smarter for users across the U.S.
FANUC and Manufacturing Skills Standards Council Offer Combined Certifications July 28, 2021 FANUC America and the Manufacturing Skill Standards Council have aligned to co-market the stackability of their industry-recognized certifications, representing a major step toward helping the U.S. overcome its shortage of skilled workers.
Using AI, ML to turn data into greenbacks at Rolls-Royce July 28, 2021 An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.