Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

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 ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

The field of microbial enzyme research is rapidly evolving as biotechnology and industrial processes increasingly depend on the exploitation of microbial ...

Utility professionals depend on their vehicles to transport them across wide geographical areas so they can conduct repairs, install new equipment, and maintain existing assets. When trying to restore ...