Artificial Intelligence

Production

Video: Where Are We Heading with Additive Manufacturing?

Increasing demands for additive end-to-end production processes, machine learning and product customization are driving additive manufacturing forward. Peter Zelinski explains where he thinks AM is heading in this video.

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Production

Top 10 Stories of 2018

Additive manufacturing's advance into production, metal 3D printing and machine learning top the list of this year's most-read stories.

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Production

Valuechain.com Receives Funding to Develop AI Software

Valuechain.com has received funding from UK Research & Innovation towards the development of artificial intelligence for its additive manufacturing production control software.

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NTU and HP Announce Corporate Innovation Lab in Asia

 HP’s first university laboratory collaboration in Asia will focus on digital manufacturing technologies, from 3D printing to machine learning and more.

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Automation

Lockheed Martin to Integrate Machine Learning with Metal 3D Printing

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.

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Senvol Recieves NIST Grant for AM Data

Senvol’s machine learning software for additive manufacturing will be used to establish Process-Structure-Property (PSP) relationships.

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Automation

AMFG Software Platform to Automate End-Part Production

Formerly known as RP Platform, the company offers a software product for additive manufacturing based on artificial intelligence. 

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Metal

3D-Printed "Smart" Shaft Introduces AI Possibilities

VTT Technical Research Centre introduces a process for 3D printing a metal shaft with embedded sensors.

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Postprocessing

PostProcess Technologies' Connect3D Supports Postprocessing

The Connect3D software for 3D-printed part postprocessing brings the company's Automat3D software functionality into the cloud. 

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Defense

Senvol Developing Machine Learning AM Software for U.S. Navy

The data-driven software analyzes the relationships between additive manufacturing process parameters and material performance.

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