Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Large language models (LLMs) have made remarkable progress in recent years. But understanding how they work remains a challenge and scientists at artificial intelligence labs are trying to peer into ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...