For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS The continuous evolution of digital signal processing (DSP) technologies is pivotal for enhancing the capacity ...

“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 ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.