The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

Abstract: Nowadays, Deep learning has gained increasing prominence in drug recommendation systems; however, critical challenges persist in feature fine-grained extraction and crossmodal information ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...

Abstract: In a wastewater treatment process (WWTP), which covers a variety of physical, chemical, and biological treatment steps, it is a challenging control task to maintain proper dissolved oxygen ...

Figure 1. Neural networks can store and recall information. In a recall task where the desired output pattern is identical to the input pattern, several patterns can ...

Bow-tie architecture (BTA) is widely observed in biological neural systems, yet the underlying mechanism driving its spontaneous emergence remains unclear. In this study, we identify a novel formation ...

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...