Convolutional neural network introduction and tutorial
Convolutional neural network (CNN or ConvNet) is a type of neural network used in artificial intelligence that is commonly applied to analyzing images.
They can be considered a pre-processing compared to image classification algorithms. They have applications in image and video recognition, recommender systems, image classification, natural language processing, etc.
RSA encryption and decryption algorithm and implementation in C++
RSA is an algorithm used by modern computers to encrypt and decrypt messages. Modern encryption is mostly based on this algorithm.
It is an asymmetric cryptographic algorithm.
Asymmetric means that there are two different keys. This is also called public key cryptography because one of the keys can be given to anyone. The other key must be kept private, Elliptic curve algorithm uses asymmetric cryptography also.
The algorithm is based on the fact that finding the factors of a large composite number is difficult: when the integers are prime numbers, the problem is called prime factorization. It is also a key pair (public and private key) generator.
AI is a new ﬁeld that appeared a few decades ago and has seen unprecedented growth. The AI approach has been used in numerous ﬁelds, such as ﬁnance, medicine, music, customer service, and transportation. Some of the big challenges we have to cope with are the computing power and lack of documentation. Big companies such as Google and Apple do not share advances in this ﬁeld, the secretism characterizes this scientiﬁc ﬁeld and thus the information we can get is very restrictive. In this work, we introduce a model of an autonomous car and then examine diﬀerent algorithms capable of driving the car in a simulated. We also discuss the diﬃculties we need to deal with such as local minimums, losing diversity, ﬁtness functions, localization, performance, and future applications.