Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

High end System-on-Chip (SoC) architectures consist of tens of processing engines. These processing engines have varied traffic profiles consisting of priority traffic that require that the latency of ...

As technology continues to evolve at a rapid pace, the importance of robust and efficient interconnect standards cannot be overstated. Peripheral Component Interconnect Express (PCIe) has been a ...

The third-generation Quantim QMC Coriolis mass flow controllers (MFCs) feature a stainless steel sensor that measures low flows independent of fluid type or process variables. Accuracy is specified at ...

For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, ...

Consider designing a flow separator that, while functioning under average flow rate conditions, also has to work when a once-in-10- or-25-year storm hits. And depending on the region of the country ...