Alchemite Machine Learning Engine Used to Design New Alloy for Direct Laser Deposition 3D Printing
Artificial intelligence (AI) company Intellegens, which is a spin-off from the University of Cambridge, created a unique toolset that can train deep neural networks from noisy or sparse data. The machine…
Using Semi-Supervised Machine Learning in Laser Powder-bed Fusion Fault Detection
Researchers from the University of Liverpool outline their findings regarding the automatic detection of faults in additive manufacturing products in a recently published paper, ‘Automatic fault detection for laser powder-bed…
Machine Learning & Bioprinting: Researchers Improve Drop-on-Demand (DOD) Methods
As bioprinting continues to pick up steam in labs around the world, researchers still study the process intensively to build on current techniques and innovation. In ‘Multi-Objective Optimization Design through…
3D Printing News Briefs: February 8, 2019
We made it to the weekend! To celebrate, check out our 3D Printing News Briefs today, which covers business, research, and a few other topics as well. PostProcess has signed…
AMFG Receives Funding from Innovate UK to Improve AI and Machine Learning Software Solutions for 3D Printing
London-based company AMFG, formerly known as RP Platform until this summer, creates workflow automation software for industrial 3D printing so that companies, such as Bowman International and Makelab, can streamline and manage…
Paul Benning Chief Technologist 3D Printing at HP Predicts 3D Printing Developments in 2019
Paul Benning is the 3D Print and Microfluidics Chief Technologist at HP. Before that he was an HP Fellow and the Chief Technologist of their imaging and printing division. He’s…
Defense Logistics Agency Awards Senvol Grant to Predict Mechanical Performance of 3D Printed Parts
New York-based Senvol, which provides data to companies to help them adopt 3D printing into their workflows, has been pretty focused on military applications as of late. The company joined the National Armaments…
Senvol Receives Grant for Applying Data Analytics to 3D Printing Data
Senvol provides data to other companies in order to help them implement 3D printing into their workflows. Its massive searchable network, called the Senvol Database, is dedicated to searching 3D printers and materials…
Researchers Develop Machine Learning Method to Monitor 3D Printing Process for Defects
All sorts of issues can occur when a 3D printed part has a defect, and researchers around the world continue trying to find new ways to detect these defects before…
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