An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

"The original t-SNE isn't biologically plausible—it's an engineering method rather than a neural network," says Toyoizumi. "We rewrote the algorithm so that it mimicked a biological neural network." ...

We take a model selection approach to the question of whether a class of adaptive prediction models (artificial neural networks) is useful for predicting future values of nine macroeconomic variables.