Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Silicon Quantum Computing ("SQC"), a leader in quantum computing and quantum machine learning, has achieved a breakthrough that positions the ...

Every day, every CNC program, every sensor reading, every tool change, every quality inspection report contributes to a ...

Introduction​ The manufacturing sector has always been plagued by spring design failures as the main factor causing machinery to vibrate more than normal and th ...

Discover how work cells streamline manufacturing by enhancing efficiency, reducing costs, and minimizing waste, with real-world examples of successful implementation.

That decrease in demand contributed to the impending demise of a Bollman competitor, F&M Hat Company in Denver, Lancaster ...

Haier Appliance India is readying an investment plan of ₹3,500 crore as it is looking to set up its third manufacturing ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

Autonomous systems often make headlines. But on the factory floor, the real goal is reliability. And that means keeping humans involved.

Which area of engineering is known as Factory Engineering? Examine what this engineering branch works, what career ...

Like a well-oiled machine, the group used what it learned in a workshop about lean manufacturing principles and conducted an ...

A useful digital twin in manufacturing merges live operational data with a physics-based or data-driven model, creating a continuously updated virtual mirror of the asset or process. Think of four ...