Machine learning in 3D printing
Amplifying Additive Manufacturing with Artificial Intelligence
Additive manufacturing (AM) continues to evolve in the dynamic manufacturing landscape, and integrating Artificial Intelligence (AI) has proven to be transformative. Both have independently made waves, redefining what’s possible in…
3D Printing Webinar and Event Roundup: July 23, 2023
This week’s webinar and event roundup is a little lighter, but there are still plenty of 3D printing offerings! Stratasys continues its U.S. tour, Markforged offers two more Demo Days,…
3D Printing News Briefs, September 8, 2022: Boosting Startups, Expansion in the Middle East, and More
In today’s 3D Printing News Briefs, we have lots of business, as Titomic enters the Middle Eastern markets in a new reseller partnership. Metafold has secured $500,000 CAD in pre-seed…
3D Printing News Briefs, August 18 2022: Machine Learning, Meatless Meat, & More
We’re taking care of business first in today’s 3D Printing News Briefs, as a former GE executive has joined the senior management team of Nano Dimension and Velo3D welcomes StarHagen…
A Trip to Nano Dimension HQ: Electronics 3D Printing Live and In-Person
Earlier this month, I traveled to Israel for a 3D printing event and several site visits. The final company I had the opportunity to see while in the Tel Aviv…
Top 10 3D Printing Software Stories of 2020
This summer, SmarTech Analysis published a new report, titled “Opportunities in Additive Manufacturing Software Markets 2020,” which was its first study of the AM software segment since the inaugural report…
IP Security: Reverse Engineering to Test Vulnerability in 3D Printer Toolpaths
We hear a lot about engineering hardware and software and other accompanying technologies for 3D printing, so the idea of going in reverse may raise an eyebrow or two; however,…
Univ. of Southern California: Researchers Make 3D Printing Smarter for All Users
Researchers from the Daniel J. Epstein Department of Industrial and Systems Engineering, led by Qiang Huang, Ph.D., have recently been granted $1.4M funding support, including a recent $350,000 NSF grant. Assisted…
China: Applying Neural-Network Machine Learning to Additive Manufacturing Processes
In ‘Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives,’ authors Xinbo Qi, Guofeng Chen, Yong Li, Xuan Cheng, and Changpeng Li investigate how machine learning…
