Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...
Data-intensive fields are growing, and future employees in STEM careers need to be able to understand and contribute to complex data projects. This certificate is designed to enhance the training and ...
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 ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.
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