We introduce a novel computational unit for neural networks that features multiple biases,
challenging the traditional perceptron structure. This unit emphasizes the importance of …

We introduce SwitchPath, a novel stochastic activation function that enhances neural
network exploration, performance, and generalization, by probabilistically toggling between …

Deep learning architectures suffer from depth-related performance degradation, limiting the
effective depth of neural networks. Approaches like ResNet are able to mitigate this, but they …

In the last years, DeepMind algorithm AlphaZero has become the state of the art to efficiently
tackle perfect information two-player zero-sum games with a win/lose outcome. However …

Abstract In 2021, Adam Zsolt Wagner proposed an approach to disprove conjectures in
graph theory using Reinforcement Learning (RL). Wagner frames a conjecture as f (G)< 0 for …

Reinforcement Learning (RL) represents a very promising field in the umbrella of Machine
Learning (ML). Using algorithms inspired by psychology, specifically by the Operant …

AI for Sustainability: Research at Ud'A Node Page 1 AI for Sustainability: Research at Ud’A Node
Gianluca Amato1,4,†, Alessia Amelio1,†, Luciano Caroprese1,†, Piero Chiacchiaretta2,3,† …

7. Simpson K, Depenbrock SM, Oman RE, Mayo CE,(2023). When dermatologic diseases
are devastating: differentiating common endemic conditions in the United States from sheep …