Even the best automation systems need regular fine-tuning. Think about it this way: Over time, buildings change. Occupancy ...

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The next challenge in enterprise automation is coordinating decisions across systems with different objectives, constraints ...

I'm David Greenfield, Director of Content at Automation World, and thanks for joining me for this Take Five episode, where I'll be highlighting how the application of robotics, vision systems, and ...

Look up the definition of “hype” and you’ll find the phrase “home automation” listed as a usage example. So many manufacturers have made so many promises to create the ideal automated, or “connected,” ...

What allows a robotic arm to move precisely, a production line to adjust automatically, or an automated machine to respond when conditions change? These systems rely on mechatronics: the integration ...

Getting past the ceiling requires a shift in how leaders think about their overall processes, and how AI should be involved.

Automation bias is an overreliance by human operators on automated systems, such as computer hardware, software and algorithms, to make decisions, even when the machine-generated output is incorrect ...

This report from The Brookings Institution’s Artificial Intelligence and Emerging Technology (AIET) Initiative is part of “AI and Bias,” a series that explores ways to mitigate possible biases and ...