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Ai Build implements AI for error detection in 3D printing in new AiMaker systems AM Software

by Design

One of the next key evolutionary phases of additive manufacturing is the full implementation of AI, machine learning and computer vision systems into the AM process in order to catch, eliminate and even correct errors, while improving the overall build process. We know that many experts are working on this, just a couple of days we reported about the Inkbit system that spun off from MIT CSAIL. Now it’s the turn of another company that is so much based on AI that it is even part of its name: London based Ai Build.

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Inkbit introduces a material jetting 3D printer powered by machine vision and AI 3D Printer Hardware

by Technologies

The last few years have shown us that there are many ways to overcome the constraints of 3D printing and evolve the technology to cater to the demands of end-use part production. Inkbit, a 2017 spinout from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), uses machine vision and AI to make production-ready, material jetting-based AM systems.

A conversation with Zortrax Co-Founder Karolina Bołądź AM Industry

by Technologies

Polish 3D printing company Zortrax has evolved since its founding in 2013, moving beyond 3D printer hardware production into materials and software to offer a comprehensive 3D printing ecosystem to its customers. Its products—which include the Zortrax M200 Plus, M300 Dual, M300 Plus, Inventure and Inkspire 3D printers; a broad range of filaments and resins, Z-Suite software and more—are now offered in 90 countries across six continents.

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Identify3D updates software suite for secure distributed manufacturing AM Software

by Design

Digital supply chain software company Identify3D is introducing its latest suite of software solutions to enable manufacturers to facilitate additive manufacturing and decentralize manufacturing models. The software update addresses intellectual property protection, manufacturing repeatability and traceability in order to secure the digital manufacturing process from ever-evolving security threats.