Artificial Intelligence
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.
Read MoreNTU 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.
Read MoreLockheed 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.
Read MoreSenvol Recieves NIST Grant for AM Data
Senvol’s machine learning software for additive manufacturing will be used to establish Process-Structure-Property (PSP) relationships.
Read MoreAMFG 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.
Read More3D-Printed "Smart" Shaft Introduces AI Possibilities
VTT Technical Research Centre introduces a process for 3D printing a metal shaft with embedded sensors.
Read MorePostProcess Technologies' Connect3D Supports Postprocessing
The Connect3D software for 3D-printed part postprocessing brings the company's Automat3D software functionality into the cloud.
Read MoreSenvol Developing Machine Learning AM Software for U.S. Navy
The data-driven software analyzes the relationships between additive manufacturing process parameters and material performance.
Read MoreMachine Learning for Invention Will Aid and Be Aided By AM
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.
Read MoreHow Machine Learning Is Moving AM Beyond Trial and Error
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.
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