Use of machine learning and artificial intelligence (ML/AI) is on an exponential rise across fields 1 including all aspects of the semiconductor industry. In the last decade, the use of ML/AI exploded ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Connecting operations technology (OT) and IT has been an ongoing goal for manufacturers to drive greater insights across their operations through the ability to share data between plant floor and ...

Why viewing MES not just as a monitoring tool but a data contextualizer is critical to digital transformation, as it provides meaning to disparate machine and sensor data. How integrating control and ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

John Clemons is a Solution Consultant for Rockwell Automation. He’s been working in the field of Manufacturing Technology for over 30 years. Artificial intelligence (AI) is becoming more prevalent in ...

SUNNYVALE, Calif. — Synopsys, Inc. (NASDAQ: SNPS), with collaborators at Microsoft Ignite, today unveiled a simulation-driven framework for optimizing manufacturing processes in real time. First ...

Real-time security clearances are becoming increasingly common in the manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security ...

Based on extensive theoretical explorations and engineering practices, a general framework for HPM is proposed. As illustrated in the figure, this framework consists of four main parts: HPM objectives ...