The AI software platform Blacksmith from Markforged shares feedback from its cloud-connected fleet of printers to identify and correct distortions in a 3D-printed part.
Senior Editor, Additive Manufacturing Media
Markforged has announced its AI-powered platform, Blacksmith, designed to enable manufacturing equipment to reprogram itself to make perfect parts.
Additive engineer demand has begun outpacing the supply of qualified workers in the industry. Penn State University banded together a team of experts and implemented focus groups, interviews, location observations and surveys in order to find out what makes a good additive manufacturing (AM) engineer.
Increasing demands for additive end-to-end production processes, machine learning and product customization are driving additive manufacturing forward. Peter Zelinski explains where AM is heading in this video filmed at last year’s Additive Manufacturing Conference.
Additive manufacturing's advance into production, metal 3D printing and machine learning top the list of this year's most-read stories.
Valuechain.com has received funding from UK Research & Innovation towards the development of artificial intelligence for its additive manufacturing production control software.
HP’s first university laboratory collaboration in Asia will focus on digital manufacturing technologies, from 3D printing to machine learning and more.
Blacksmith, an artificial intelligence (AI) solution from Markforged, promises to adjust part designs and processes based on real results. The implication is better, easier 3D printing — but also adaptive manufacturing more broadly.
Senior Editor, Additive Manufacturing
In partnership with the Office of Naval Research, Lockheed Martin is undertaking a project to develop multi-axis robots that can optimize 3D printing in process.
Senvol’s machine learning software for additive manufacturing will be used to establish Process-Structure-Property (PSP) relationships.
Formerly known as RP Platform, the company offers a software product for additive manufacturing based on artificial intelligence.
VTT Technical Research Centre introduces a process for 3D printing a metal shaft with embedded sensors.
The Connect3D software for 3D-printed part postprocessing brings the company's Automat3D software functionality into the cloud.
The data-driven software analyzes the relationships between additive manufacturing process parameters and material performance.
AI for process improvement, 3D printing with metal paste, droids for build change—here are six innovations we wanted to share with you straight from the show floor.
Editor-in-Chief, Additive Manufacturing
Neural networks that learn by trial and error—learning, in fact, like a child—will map the constraints of AM systems, allowing part designs to be optimized for those systems.
A Colorado alliance has found the link between AM and AI. Using machine learning to map the formula for successful metal 3D printing, researchers aim to know the right parameters for any new part with few or no test builds.
The January issue of Additive Manufacturing magazine looks at three ways machine learning is advancing understanding of 3D printing processes and materials.
At GE’s Global Research Center in upstate New York, engineers join forces to build a digital library of additive research.
Carnegie Mellon University professor Elizabeth Holm explains three ways computer vision can advance powder-bed metal 3D printing.
Machine learning or AI will prove vital to the advance of AM. Computational power will enable additive to advance much faster than if it had been invented in an earlier time.