Machine Learning System Detects Manufacturing Defects Using Photos
Machine learning can be used for more than violating your privacy for a social media challenge. For example, one fascinating application has been develope
Machine learning can be used for more than violating your privacy for a social media challenge. For example, one fascinating application has been develope
Counterfeiting is widespread and rapidly expanding. In 2015, the value of fake and pirated products globally was estimated at $1.7 trillion, equivalent to the GDP of Canada. The scope of this phenomenon is vast.
QDL for August 16, 2019
We talk to Rigved Raut, founder of McPond, about connecting people who have machine-work but no machines with shops that have underutilized equipment. Plus: We look at probes and probe calibration spheres from Q-Mark
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"Skin Cells" Credit: Antonio Roberts
In our constantly evolving, data-rich universe, collecting, interpreting, and understanding process data can be tricky. But it is increasingly important if we want to maintain sustainable quality across product development and manufacturing processes.
Responsibility. It’s a hard word to come to grips with. What is the responsible thing to do right now? What is my personal responsibility? What is my responsibility as a team, family, company, state, or country member? What do I expect from others?
After reviewing Mark Graban’s wonderful book, Measures of Success (Constancy, 2018), I started rereading Walter Shewhart’s books,
One of the undergraduate engineering courses that left a deep and lasting impression on me was a course on innovation and aesthetics in engineering taught by David Billington at Princeton University.
How do you develop domain knowledge in your analysts, so their data use, interpretation, and recommendations make sense?
(Zontec: Cincinnati, OH) -- Zontec Inc., global leader in statistical process control (SPC) software, is expanding its software purchase options to include e-commerce subscription software.
While I was facilitating a retreat for a group of 15 men, all in their late 30s and 40s, all high-level executives and all high achievers, an interesting topic arose. One of the men asked for help dealing with his wife, who was complaining he worked too much.
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