In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

"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." ...

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