Knowledge distillation is a paradigm in which a compact “student” network is trained to emulate the performance of a larger, more complex “teacher” network. By transferring dark knowledge—subtle ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...

Navigating the ever-evolving landscape of artificial intelligence can feel a bit like trying to catch a moving train. Just when you think you’ve got a handle on the latest advancements, something new ...