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Showing posts with the label Computer Science

Most Popular and Best Video Games in 2021

The video game industry is one of the biggest virtual industries in the world. Almost half of the world's population is regularly playing games to relieve the stress in their lives. As a result, the importance of the gaming industry is increasing every passing year. Thus, we wanted to compile the most popular video games in 2021 for you! Do not miss your chance to check out the following games to give them a try. These games have been chosen by our editor and we are sure that you will enjoy playing them. Computer games are played by everyone ! These are the best video games in 2021 according to our game editor, please keep reading for the details of each game. Call of Duty: Modern Warfare FIFA 2021 Fortnite New World Apex Legends Top 5 - Most Popular Video Games in 2021 Here are the top 5 most popular video games that managed to be highly popular in 2021. We bet you have played some of these amazing games before! 1. Call of Duty: Modern Warfare Call of Duty is one of the most popul...

Most Popular and In-demand Programming Languages in 2021

Top 5 Most Popular Programming Languages in 2021 If you are planning to learn to program, then we believe this guide will be an amazing source for you. We have covered everything that you need to know about the popular programming languages. Although, the programming language you need to use may vary depending on your purpose, this list will still be beneficial for you. Considering that the following programming languages are widely used in industry, learning one or two of these languages will greatly help you find fantastic job opportunities all over the world. Moreover, software programming and engineering jobs are the best options for the people who want to work from home (WFH) and home office. Software Engineer and Programmer What are the Best Programming Languages to Find a Great Job? We here present the obviously best programming languages that will also dominate the markets in 2022. It is still not too late to learn any of them since they will be around for at least a decade a...

Electromagnetic Modelling and Antenna Simulation via Opensource Software

Commercial electromagnetic simulation (EM) software packages such as CST Microwave Studio and  ANSYS HFSS are widely used in commercial applications and educational purposes. Based on my experience, they provide very accurate results which match measurements in most antenna works. On the other hand, there are also very solid opensource software and applications which may also provide similar results in some applications. Antennas are also used in radio telescopes While commercial EM software suits usually have very good documentations, easy-to-use interference, and result visualisation and navigation tools, opensource EM software suits might consist of only the solver and documentation which explains how it should be used and implemented for design and simulation via an interference and a programming language such as Python, MATLAB, C++ . As they are opensource, it is also possible to edit their codes and advance their functions and performance. Thus, these features makes openso...

Machine Learning Methods: Supervised Learning

In this article, we are going to review the most common and valuable machine learning algorithms which are frequently applied in the industry, academy and research. Note that some algorithms may have many subcategories or derivations since machine learning and artificial intelligence have been actively and extensively studied and utilised nowadays. This article will present a categorical overview of these fundamental algorithms and briefly explain each of them. In the succeeding articles, each algorithm will be deeply explained and their implementations will be exhibited.  Machine learning (ML) algorithms are generally considered in two main categories as follows; Supervised Learning Methods Unsupervised  Learning Methods Supervised Learning Methods  Supervised learning techniques create logical connections or maps between input and output data. Therefore, these types of methods usually require a significant amount of labelled data for training. After that, th...

Quantum Computing

Quantum computing is the use of quantum mechanics within computing in order to decrease the number of processes needed to find a solution to a problem. Quantum computers use qubits (quantum bits) instead of bits and these qubits can be subject to a manipulation that can’t be done to classical bits, such as quantum entanglement and superposition. There are a number of objects that can be used as qubits, photons, nuclei or electrons which means that while classical computers today are being limited because computer components cannot be decreased any further in size, quantum computer components would only have to be a few atoms in size.                      Quantum computers hold many advantages over classical computers. One such advantage is that while classical bits can only be presented as zeros or ones at any given time, qubits can exist in any superposition of these values up until they are measured. When harnessed , ...