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

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

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

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 ...

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 ...

Abstract: Verifying the robustness of neural network outputs to perturbations in inputs is a key criterion for integrating them as part of any commercial or safety-critical application. The Lipschitz ...

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 ...