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Home » Keywords: » Artificial Intelligence (AI)

Items Tagged with 'Artificial Intelligence (AI)'

ARTICLES

PODCAST | 2025 Quality Rookie of the Year, Attrayee Chakraborty
Quality Rookie of the Year Podcast

PODCAST | She Came, She Saw, She Started a Career

May 1, 2025

Meet our 2025 Quality Rookie of the Year, Attrayee Chakraborty. She is a quality professional in the medical field with a background in biotechnology and expertise in Artificial Intelligence (AI).


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A young male and young female engineer in hardhats and safety vests, looking at a clipboard in a warehouse.
Standards

Compliance Standards Are Experiencing Disruption

As manufacturers increasingly use robots, 3-D printing, AI systems and other cutting-edge technologies, they create new risks that are not covered by existing rules. As a result, even the most foundational rulebooks are changing.
Genevieve Diesing headshot
Genevieve Diesing
April 30, 2025

Engineers rely on industry standards for safety, which require extensive development time. However, the rapid pace of emerging technologies poses challenges for timely standardization, as reaching consensus on new standards becomes difficult in a fast-changing environment, according to Shawn Moylan from NIST.


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2025 Quality Rookie of the Year, Attrayee Chakraborty with the Rookie of the Year logo and a blurred background.
A Relentless Pursuit of Excellence

Meet the 2025 Rookie of the Year: Attrayee Chakraborty

Attrayee Chakraborty is a quality professional in the medical field, with a biotechnology background and expertise in AI.
Michelle Bangert
Michelle Bangert
April 29, 2025

Quality is honored to name Attrayee Chakraborty as our 2025 Quality Rookie of the Year. Discover how she earned the award through her groundbreaking work in medical device quality and AI integration.


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Woman scientist working on computer in a science lab.
Management

Safe and Sane: Understanding the FDA’s Risk-Based Approach to AI

Consider the example of a medical device manufacturer that needs to analyze customer complaints.
Renee VonBergen
Erin Wright
Erin Wright
April 28, 2025

The life sciences sector is at a crossroads as the FDA updates quality management standards. AI is now expected, and the FDA's January 2025 draft guidance outlines its evaluation and implementation. Successful adoption depends on three key questions.


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Male Industrial Engineer And Female Manager Using Laptop And Talking At Electronics Factory. The man is using a soldering jet printer.
Management

Part 2: Federal Oversight and AI

Combating fake job postings with advanced detection and reporting systems.
Maria DiBari
April 26, 2025

The job market is struggling with fake job postings that mislead American job seekers and distort employment data. These listings, created to collect résumés or inflate company statistics, erode trust in online job platforms and create inefficiencies in the hiring process, worsening challenges for job seekers and the unemployed.


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QM0525-FEAT-A3-Automation-p1FT-Quality-Inspection.jpg
Automation

The Next Frontier of Automation: Quality Assurance in an AI-Driven Era

The convergence of automation and quality is redefining how manufacturers detect defects, maintain standards, and continuously improve processes.
Alex Shikany
April 21, 2025

By 2025, automation technologies such as AI-driven inspection systems and autonomous robots are essential for manufacturers, enhancing productivity and quality assurance through precision and intelligent decision-making.


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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.
Ryan Lougheed
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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Close up of machine part measuring production line in factory.
Vision & Sensors | Deep Learning

A Wrong Vision of Efficiency

Our obsession with efficiency is killing our effectiveness in deep learning machine vision.
Jack Bimber
April 2, 2025

As a coffee enthusiast, I often rely on the energizing effects of caffeine to fuel my productivity, pushing through fatigue to get more done. Yet, I’ve learned that sacrificing sleep ultimately hinders my efficiency, and taking time to rest significantly boosts my performance.


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Baseball sitting on top of a bat handle with a black background.
From the Editor | Darryl Seland

Versus: Two ends of the same spectrum

DarrylSeland_200
Darryl Seland
April 1, 2025

Years ago, I wrote a column discussing two baseball movies, Moneyball and Trouble With the Curve, which represented opposing views on the use of analytics in talent scouting within the sport.


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Factory workers
Management

The High-Stakes Reality of Supply Chain Vulnerabilities in Manufacturing

To stay ahead of risks, manufacturers must move beyond basic due diligence and embrace continuous supplier monitoring and education.
Ty Francis
March 29, 2025

Supply chain vulnerabilities threaten businesses across industries, highlighted by recent disruptions like the bird flu. Companies must adopt an integrated approach—encompassing third-party monitoring and ethical AI practices—to enhance resilience and mitigate risks amid evolving regulations.


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More Articles Tagged with 'Artificial Intelligence (AI)'

EVENTS

Webinar

3/26/25 to 3/26/26
Contact: Meg K.

Making AI Work in Quality Inspection: Rules of Thumb

On Demand Drawing from 30 years of experience using neural networks in various machine vision applications, Ned will share anecdotes and examples to help you predict which kinds of applications are going to be AI wins and which ones are going to give you fits.

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Webinar

4/29/25 to 4/29/26
Contact: Meg K.

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

On Demand 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.

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More Events Tagged with 'Artificial Intelligence (AI)'
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AI’s Double-Edged Sword: Security and Compliance in Manufacturing

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The Next Frontier of Automation: Quality Assurance in an AI-Driven Era

May 21 Quality Hexagon Live Webinar

Events

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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Products

Lean Manufacturing and Service Fundamentals, Applications, and Case Studies

Lean Manufacturing and Service Fundamentals, Applications, and Case Studies

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