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

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Letter of Intent: Circular Health Limited to Enhance ECG Smart Ring with AI-Powered Signal Clarity with multi‑year, per‑user SaaS license targeting commercial launch by September 2025. Global growth ...

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 ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

What Are Artificial Neural Networks (ANNs)? Artificial neural networks are machine learning algorithms that process data in a way inspired by the human brain. The network uses neurons, or ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

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 ...