Neural network optimisation has emerged as a transformative approach in microwave engineering, driving enhancements in both the accuracy and speed of electromagnetic (EM) simulations and circuit ...

Researchers from Cornell University designed an on-chip microwave neural network that can perform real-time frequency domain computation for tasks like radio signal decoding, radar target tracking, ...

As a result of the bionic design of the neural network-like aerogel-based composite PCMs, both microwave absorption and thermal management are increased, and in colder climates the solar-thermal ...

Cornell researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...