An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.
Winthrop Sheldon of SLM Solutions spoke with Editor in Chief Brett Brune at the Aerodef 2017 conference in Texas.
The average lifespan of a company on the S&P 500 has fallen to 20 years from more than 60 years in 1960. The power and influence of technology will increase as much in the next 18 months as it has in the last 30 years.
Artificial intelligence will go long way to imbue data management with trust.
A decade removed from the Great Recession, the U.S. job market is thriving. Because employers are struggling to fill empty positions, they must explore other ways to increase production needs.
Automotive manufacturers and their Tier One suppliers spend endless engineering hours developing the PAB (passenger airbag) system, from the airbag and its propellant to the construction of the materials used in the composite instrument panel.
A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.
When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.
SME’s Smart Manufacturing Hub will be part of IMTS this year. Smart Manufacturing asked past Hub speakers to imagine what manufacturing will look like in 2030. Here are their visions:
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.
