C++, UE4, AI developer
LiDAR implementation in self-driving cars
LiDAR (Light Imaging, Direction And Ranging) is a method that measures the distance to a target by illuminating the target with pulsed laser light and measuring the reflected pulses with a sensor. Autonomous cars take advantage of this new technology.
Molecular Chemistry Simulator & Editor
This application allows you to create molecules with bonds between atoms. There is no need a further background in chemistry, it has an intuitive user interface and only a few instructions of use:
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.
Cryptography introduction and different fields
Ancestors had the necessity to transmit information that could not be shared with the rest of the people, although messages may be intercepted and that was the beginnings of cryptography.
Encryption: conversion of information from a readable state to apparent nonsense.
The cryptography literature often uses the names Alice and Bob, who want to transmit information that could not be translated even being intercepted by a third party, Eve.
Autonomous car: learning and testing process.
Pages: 25
Author: Daniel López Montero
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.
Artificial intelligence, neural network, genetic algorithm, backpropagation, self-driving car.
