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Deep-Learning Framework Accelerates X-Ray CT Inspection of Additively Manufactured Metal Parts

A new deep-learning framework developed at the Department of Energy's Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results.
United States Amir Ziabari Pradeep Bhattad Laura Thomsonoct Institute Of Electrical Oak Ridge National Laboratory
Source: azom.com

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Mitsubishi Heavy Industries, Ltd.: MHI and Mitsubishi Logisnext to Commence Provision of Automated Picking Solutions for Warehouses Based on ∑SynX

System Now in Operation at LogiQ X Labo, a Demonstration Facility within Yokohama Hardtech Hub- Picking know-how incorporated into ΣSynX, enabling smart picking system efficiently coordinating AGFs, AGVs
Mitsubishi Logisnext Co Ltd Mitsubishi Heavy Industries Mitsubishi Heavy Industries Ltd Logiqx Labo Demonstration Facility Yokohama Hardtech

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