I’ve thinking a lot lately about sensors on 3D printers.
We could see an increase of very unusual yet practical 3D printed parts in the near future due to AI technology.
AI is upon us, but what might it affect in the 3D printing universe?
AON3D seems to be heading in a different direction than most high-temperature 3D printer manufacturers.
EOS announced a new real-time feature for their metal 3D printers called “Smart Fusion”.
This week’s selection is “Futureproof: 9 Rules for Surviving in the Age of AI” by Kevin Roose.
There’s another AI vision option for desktop 3D printers: PrintPal’s PrintWatch.
A software package containing Live Platform, Live Studio, Live Build MFG, Live Build DLP, and Live Sinter
Start warming up your vocal cords—natural language processing may soon change how engineers interact with design software.
Things are moving very quickly in the text to 3D model AI space.
This week Luma AI announced a new 3D model generation technology, that while crude today, will ultimately dominate in the future.
This could be the biggest breakthrough in 3D printing in decades: automatic 3D models.
Post processing was for a long time the forgotten step in 3D printing. Now, that’s changing.
This week’s selection is “The AI Cookbook: A taste of the future” by Paolo Rosson.
I caught a glimpse of a potential future for 3D modeling tools, and it’s breathtaking.
Artificial intelligence (AI) is revolutionizing countless industries, and its machine learning capabilities are capable of transforming additive manufacturing as well.
Researchers at the Oak Ridge National Laboratory seem to have developed a way to optimize printing with multiple toolheads.
Adrian Bowyer provided an updated on his Electric 3D Printer project, and it’s a fascinating approach to software design.
Relativity Space owns what could become a key patent for additive manufacturing.
On May 25 and 26, 2021, Cimquest held its annual Xpand3D event, virtually.
The pair will be using DeepCube’s AI, ML and DL framework to optimize additive manufacturing processes.
Nano Dimension has signed an agreement to acquire DeepCube.
Charles R. Goulding and Preeti Sulibhavi consider a few examples of artificial intelligence, machine learning, and 3D printing combining for more powerful solutions.
The process of “dialing in” optimal 3D print parameters can be challenging, but how is this best done in a rapidly evolving industrial environment?
Researchers have developed what appears to be a far more accessible method of developing highly complex 3D models for 3D printing.
There might be no stranger name for a 3D print product than the Spaghetti Detective, but it’s not only appropriate, but something that should become popular in 3D printing.
Inkbit has developed an AI-based quality control system that can not only verify correct layers, but fix them, too.
A new project from Virginia Tech is perhaps the closest we’ve yet come to 3D printing as a Star Trek Replicator.
Machine learning can be used for more than violating your privacy for a social media challenge.
What is 3YOURMIND doing with €1.3M Investment? They say they will increase machine learning in their services, but for what? We have some speculation.
Senvol’s data-driven additive manufacturing analysis system is now less mysterious to us.
Some advanced computing has done the impossible: generate a 3D printing press release.
Senvol has contracted with the US Navy to develop very powerful 3D printing software.
You’ve likely been hearing a lot about something called “Machine Learning” lately, but could this affect 3D printing? Most definitely so!