That’s where training and inferencing come in - the dynamic duo transforming AI from a clueless apprentice to a master predictor. You can think of training as the intense cram session where AI models ...

Salary & Career Survey puts forward a paradigm for the challenges facing engineering professionals. We interviewed Susan Ipri ...

Mark Biagi is pioneering digitalization and sustainable practices. As senior director for Energy Industry Solutions at ...

STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, is ...

The grant, from the society’s petroleum research fund, will support experiments using complex computer simulations that quickly analyze the behaviors of many molecules all at once, as well as machine ...

D Systems to sell Geomagic® reverse engineering, design, and inspection software portfolio to Hexagon for $123 million, with closure anticipated ...

This renders high-speed motion control the autonomic nervous systems of sectors like robotics, automation and manufacturing.

This hybrid model uses machine learning and physics to improve fatigue life prediction for lightweight magnesium alloys ...

Promotion: design festival Taiwain Design Week has returned, taking place between 7 to 15 December, following its inaugural ...

Developed in partnership with Siana-Systems, the first version of the Edge AI Sensing Platform with Machine Vision will be ...

Transfer learning has been used to address these challenges ... and label inconsistencies between digital twins and real machines. Validated on an industrial rotating machine case study using real ...

As artificial intelligence (AI) continues to revolutionize many sectors, the vital field of machine learning rises in importance ... This course is led by Matthias Holweg, Matthias is a trained ...