Quadratic Neuron

Quadratic neurons are a novel type of artificial neuron that replaces the standard linear inner product with a quadratic function, enhancing the model's capacity to learn complex, non-linear relationships in data. Current research focuses on developing efficient training algorithms for networks employing these neurons, exploring architectures like QuadraNet and PadeNet, and investigating their application in various domains including image processing and anomaly detection. This research aims to improve the efficiency and expressiveness of neural networks, leading to faster training times, reduced computational costs, and potentially improved accuracy in diverse machine learning tasks.