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 ...
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 ...
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 ...
Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...
Programmable material systems are emerging architectural structures but the co-design of structure, material, and external stimuli present grand challenges. A team with Northwestern Engineering’s Wei ...
MongoDB Atlas for the Edge enables organizations to build, deploy, and manage highly reliable, data-driven applications anywhere—across devices, on-premises data centers, and the cloud AWS and ...
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 ...
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