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.

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

NEW YORK (AP) — The WNBA has another broadcast partner after signing an 11-year media rights deal with Versant to show regular-season games and portions of the playoffs beginning next year on USA ...

The WNBA inks 11-year deal with USA Network to air 50 games yearly plus playoff action, starting in 2026 with primetime doubleheaders. The WNBA’s presence on television just got bigger. On Tuesday, ...

Delivering a digital sixth sense with next-generation networks Networks today are far more powerful than they’re given credit for, with sensing capabilities that could detect risk thousands of meters ...

Auburn fans can begin planning their next trip to Jordan-Hare Stadium as the Tigers' Oct. 11 game against the No. 10 Georgia Bulldogs, following the announcement of the game's start time and ...

Abstract: Training deep neural networks typically relies on gradient descent learning schemes, which is usually time-consuming, and the design of complex network architectures is often intractable. In ...