The following roundup highlights the range of solutions that were on display at Automate 2024--products that are shaping the way industry works and interacts with automated systems. Quantum Devices ...
A new federal investigation into robotics and industrial machinery imports could reshape supply chains, costs and innovation ...
A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
Simplified machine designs with fewer components run more efficiently and are less expensive to build. Older mechanical power transmission and actuator technologies, such as chain, rack and pinion and ...
The year is 2009, during the Design Automation Conference (DAC) at a press dinner in a posh little restaurant in San Francisco’s Civic Center. About two glasses of red wine in, one of the journalists ...
Indian American researcher receives funding and mentorship to push the boundaries of electronic design automation ...
DMG Mori, Renishaw and Siemens partner on a condition monitoring tool that enables traceability and closed-loop manufacturing. The Siemens Xcelerator offering from Renishaw consists of technologies ...
Machine learning utilizes a decision-making process that produces results based on the input data, through supervised and unsupervised methods. Machine learning (ML) is a method of data analysis that ...
Manufacturing businesses like machine shops, and the supply chains that serve them, have multiple moving parts that can be managed efficiently from a well-designed workspace. Designing a ...
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