Resources of our survey paper "A Comprehensive Survey on AI Integration at the Edge: Techniques, Applications, and Challenges"

This project explores Li-Fi technology for wireless data transmission. Using Arduino Nano devices, text is encoded, transmitted through LED light signals, received by a photodiode, and displayed on an LCD. Li-Fi offers high-speed, secure, and efficient communication through light, with potential applications in various domains.

Many tasks of pytorch for Network-Model-Design

Semantic Segmentation Using PSPnet model architecture on CamVid dataset

Explore Model Design Space by using the Fisher-Information

L'objectif de ce challenge est de proposer une méthode de classification, basée sur des réseaux de neurones, permettant de classer des images issues de Google Quickdraw (https://quickdraw.withgoogle.com/data). Le jeu de données proposé comprend 5 classes balancées, avec 15000 exemples d'apprentissage et 5000 exemples de validation.