DONGGUAN CITY, GUANGDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The precision manufacturing sector ...

Important everyday products—from plastics to detergents—are made through chemical reactions that mostly use precious metals ...

The semiconductor industry stands at one of its most pivotal moments. As AI drives explosive demand for computing power, chip ...

Record any incoming material variation. This included the square tube’s straightness, edge prep (the saw cut quality), as ...

Download the dataset here, and unzip the dataset to polyps/data. We use a similar dataset as PraNet, with improved pre-processing and filtering of duplicates. See polyps/process_data.ipynb for details ...

Abstract: Impedance control is one of the fundamental control approaches for contact-rich robotic tasks. However, to apply the impedance control, the robot dynamics needs to be completely known, which ...

The PLCopen Process Industry Working Group will explore the incorporation of the function blocks PLCopen has developed for the O-PAS standard into a new PLCopen standard. PLCopen will start a new ...

The computer age — and now the digital revolution — has taken human beings to new heights and greater milestones, and food & beverage processing operations have come along for the ride. Digital ...

Dudley, UK – Continuous Process Solutions has launched a new steel belt training program designed to help manufacturers strengthen in-house capability, reduce stoppages and improve the reliability of ...

Proper signal filtering at the source minimizes aliasing errors and improves the accuracy of digital data used for control and analytics. Teaching filtering concepts through visual simulations and ...

Marcus Hoversland, a UW graduate and process engineer at HF Sinclair in Casper, interacts with UW students in an “Intro to Chemical Engineering” class. UW has received a generous investment from HF ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...