machine learning

Intellegens Upgrades 3D Printing Deep Learning Software

As the first market research firm to publish a report on the rapidly evolving trend of automation in 3D printing, SmarTech Analysis noted how crucial new technologies like machine learning,…

Quality Control on the Desktop: Mantis 3D Printer Has Built-in Spaghetti Detective

The industrial additive manufacturing (AM) boom has taken off, but desktop 3D printing was, in some ways, left in the dust when consumer AM was dumped or neglected by many…

Sciaky Gets NASA SBIR Award for Machine Learning for Process Control

Sciaky has just gotten a NASA Small Business Innovation Research (SBIR) Award in order to use machine learning to improve fault detection in Ti-6Al-4V parts made with the company’s Electron…

The KAV 3D Printed Bike Helmet on Kickstarter

One area where we’ve seen a lot of 3D printing activity is in helmets. Now, KAV is joining the fray with a mass-customized, made-to-measure helmet. The company says that machine…

Oceanz and AM-Flow Collaborate to Sort and Pick 3D Printed Parts Automagically

3D printing service Oceanz has implemented two AM-Flow modules, AM-VISION and AM-SORT, to automate aspects of their manufacturing workflow. AM-VISION is an automated part identification module that uses machine vision…

3D Printing News Briefs, March 27, 2021: Sandia, Desktop Metal & Uniformity Labs, Thermwood

In today’s 3D Printing News Briefs, we’re discussing how 3D printed rocks are being used to detect earthquakes, aluminum sintering for binder jet 3D printing, and two pieces of interesting…

US Air Force, Navy Fund Senvol Machine Learning Tool for 3D Printing

3D printing data company Senvol has announced that it is receiving funding from the U.S. Navy and Air Force to further their machine learning software. Senvol ML analyses the relationship…

Intellegens and Ansys Partner to Empower 3D Printing with Deep Learning

Machine learning solutions company Intellegens announced a collaboration with engineering simulation leader Ansys to accelerate the development of reliable and repeatable additive manufacturing (AM) processes. The integration of machine learning…

Additive Assurance Mounts Quality Control Offensive Against Metal 3D Printing Defects

For years, metal additive manufacturing (AM) has been sitting on the bench, prepping to get into the production game. Most coaches just haven’t seen the technology as quite ready for…

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AI Driven Bioprinting Speeds up Tissue Engineering

Researchers at Rice University used artificial intelligence (AI) to speed up the development of 3D printed bioscaffolds that help injuries heal. A team led by computer scientist Lydia Kavraki of…

Self-Learning Robot Autonomously Moves Molecules, Setting Stage for Molecular 3D Printing

If you know even just a little bit about science, you probably already know that molecules are often referred to as “the building blocks of life.” Made of a group…

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,…

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MX3D Uses Robot Arm to Make 3D Printed Robot Arm, Installs It on Robot

MX3D’s steel bridges are an inspiring sight to see, but, even if bridges are what the Dutch firm is known for, they are not the only thing the firm is…

US Air Force Uses Senvol ML Software to Qualify Multi-Laser 3D Printing Systems

Over the last few years, Senvol, which provides data to help companies implement additive manufacturing into their workflows, has put a good deal of focus into military applications. Back in…

Machine Learning & Geopolymers: 3D Printing for Construction

Ali Bagheri and Christian Cremona explore complexities in digital fabrication, sharing their findings in the recently published ‘Formulation of mix design for 3D printing of geopolymers: A machine learning approach.’…

Peter Naftaliev Lecture Series on Learning on How to Go from 2D to 3D with Machine Learning

Peter Naftaliev is an artificial intelligence (AI) researcher and consultant who is working in making 2D into 3D. Besides work for his company Abelians, he also publishes breakthrough research at…

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…

HEXWAVE: Waving Goodbye to “Threat” of 3D Printed Guns?

3D printed guns remain a controversy, despite the comparatively little threat they pose compared to mass-produced weaponry (that isn’t to say that there are no dangers to the technology). As…

Stratasys & DSM Venturing Lead $12 Million Round in Support of Inkbit  

Stratasys and DSM Venturing (venture capital arm of Royal DSM) lead the way in yet more financing for startups, acting as the major sources of funding support of $12 million total,…

Enhancing FDM 3D Printed Parts with New Algorithms

In ‘Build Orientation Optimization for Strength Enhancement of FDM Parts Using Machine Learning based Algorithm,’ authors Manoj Malviya and K.A. Desai explore a new method for controlling anisotropy and thus,…

3D Printing Service Bureaus: Refining Pricing Systems with More Progressive Cost Analytics

Deepak Pahwa and Binil Starly provide cost analytics for 3D printing services bureaus in their recently published paper, ‘Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace.’ Taking…

Markforged Demonstrating its Blacksmith AI

Accuracy in Additive Manufacturing (AM), from the CAD design to the printing process, is not always easy to deliver. Companies are working hard at trying to ensure consistency and repeatability…

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…