Microelectromechanical systems (MEMS) are rapidly becoming an indispensable part of the design and fabrication of intelligent systems. Bridging the gap between the physical world and the electronic ...

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 ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. As manufacturers expand operations and integrate new ...

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 ...

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 ...

Momentum is building for digital twins in semiconductor manufacturing, tying together the various processes and steps to improve efficiency and quality, and to enable more flexibility in the fab and ...

Explore the challenges and strategies for securing AI integration in manufacturing, focusing on governance, data privacy, and ...

AI is redefining what’s possible across manufacturing and distribution, but there’s a quiet revolution happening in how companies manage the relationship between their data and their technology. For ...

Built-in data integrity is a bare minimum requirement in today’s BioPharmaceutical manufacturing. Good Manufacturing Practices (GMP) regulations of the Food and Drug Administration (FDA) highlight the ...

Scientists in Switzerland have conducted techno-economic analysis of perovskite solar module manufacturing costs in terms of levelized cost of energy and have found that these products could be ...