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Home » Keywords: » Generative AI

Items Tagged with 'Generative AI'

ARTICLES

Woman working in quality control, measuring a workpiece.
Management

AI’s Double-Edged Sword: Security and Compliance in Manufacturing

Without human oversight, AI tools have the potential to generate risks.
April 11, 2025

Over half (55%) of organizations plan to adopt Generative AI for security this year, especially in manufacturing. While AI enhances efficiency and cost savings, its rapid adoption poses new security risks and regulatory challenges. Manufacturers must proactively manage these risks to maintain operational stability.


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Fully Automated PCB Assembly Line Equipped with High Precision Robot Arms at a Factory. Electronic Devices Manufacturing Industry.
Artificial Intelligence (AI)

Case Studies of AI for Superhuman Quality Control in Electronics

The question is not whether manufacturers should adopt AI, but how quickly they can start reaping its benefits.
Anna-Katrina Shedletsky
January 9, 2025

AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.


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Red Light HAL 9000
Test & Inspection

AI Technical and Gage Data Searches: "Open the pod bay door, Hal."

What do Generative AI Searches have to do with inspection and gages? A great deal.
Mike Oddy
November 17, 2024

Generative AI Searches are transforming how professionals access technical data in fields like inspection and gages. While these tools deliver quick results, reliance on their outputs can lead to inaccuracies, as shown by discrepancies in thread specifications. Understanding the strengths and limitations of Generative AI is essential for ensuring the accuracy and relevance of information used in gage calibration and metrology.


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Male industrial engineer working on a personal computer with two monitor screens. The monitors show CAD software with 3D prototype of hybrid electric engine being tested.
Software

Building Quality into Digital-Twin-based Systems Utilizing the DTC Composability Framework

A recent report by the National Academies of Sciences, Engineering, and Medicine highlights data quality as a significant concern for the reliability of digital twins.
Dan Isaacs
August 23, 2024

The Digital Twin Consortium (DTC) Composability Framework provides a transformative approach to digital twin system development, focusing on interoperability, security, trustworthiness, scalability, and design reuse to align with businesses’ objectives and evolving needs.


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Events

April 29, 2025

When AI Meets SPC: Unlocking Even More Value From Your SPC Quality Data

Discover how SPC's real-time data collection, monitoring and control capabilities provide the perfect foundation for AI/ML's predictive insights, enabling both immediate process optimization and long-term continuous improvement.

May 21, 2025

The Evolution of Laser Radar: Measuring Large Scale From Distance With High Accuracy

This webinar, featuring a live demonstration, will showcase the evolution of Hexagon’s direct scanning laser trackers: cutting-edge technology that now delivers traditional reflector-tracking accuracy to non-contact, large-part scanning.

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