CS (Computing skills & research module)

v   Where are you from? Africa, Asia, America, Europe. v   How old are you? From 15 to 18, From 19 to 25, From 26 to 99. v   What is your gender? Male, Female, Other. v   What is your level of education? Elementary school, Middle school, Hight school, Ex university student, Researcher. v   What field you have been interested during your university studies? Nature sciences, technology sciences, Human sciences, Animal science. v   Have you been a computing student before? Yes, No. v   Are you familiar with Some of the computing terms? None, Some, more than some, Several. Two options can be selected. v   Do you find yourself inclined towards the world of computing and information? I don’t at all, Yes I do, Yes even though I have never been studying computing, A little. v   What do you think of the domain of robotics? Interesting, Awful, Hard to learn, easy to learn. Two options can be selected. v   Do you agree that robotics is the main factor in developing the different aspect of the hum

 

 

The first idea that will be discussed is the systematic operation of Deep learning, it consists of multiple processes, depending on the type of the deep neural network and the type of process being used. To answer the question how does the neural network work? The first thing we need to know is that each (NN) contains multiple visible layers of interconnected nodes that have one role called forward propagation which is optimizing the prediction, and there are two types of layers the input layers which are responsible for absorbing the data for the processing and output layers is where the prediction is made (Mingzhu and Zhu, 2010). Besides that, there is another process called backpropagation that is similar to the previous, in a nutshell when these two processes work together the neural network will be able to make predictions (IBM Education, 2022). The second idea that will be discussed is that Various artificial intelligence applications and products that promote automation rely on

Depp Learning in Artificial Intelligence. Artificial Intelligence (AI) itself has multiple branching topics such as pattern recognition, neural network, and many other areas (Careers360, 2022). Moreover, two other common areas had a considerable amount of fame in several parts of society nowadays rather than the other areas, these two are deep learning and machine learning. As it is commonly believed that these are two separated areas, however, the deep learning is an integral part of the machine learning algorithmics, and the simple definition of the deep learning is that it is a neural network with two or three layers that mimic the attitude of the human brain in which it allows itself to learn from the massive volumes of data (TechTarget, 2022). As an example of where the deep learning technology is applied among the modern electronic devices, deep learning is in the digital assistants, credit card fraud detection, and as well as in the self-driving for cars (IBM Education, 2022).

In brief, deep learning is being used by numerous technological companies in many fields such as financial services, Customer service, and Healthcare, despite that deep learning is among the most advanced and complex concepts in the tech sector that require certain Prerequisites that the programmer should master in. To conclude, in my perspective which might seem similar to many others’ perspectives, I believe that shortly humans will be living with robots that have consciousness as same as other persons. References careers360, 2022. Artificial Intelligence Course, Subjects, Colleges, Syllabus, Career, Jobs. [online] Careers360.com. Available at: <https://www.careers360.com/courses/artificial-intelligence-course> [Accessed 7 May 2022]. eInfochips, 2022. Hardware Requirements for Machine Learning. [online] Einfochips.com. Available at: <https://www.einfochips.com/blog/everything-you-need-to-know-about-hardware-requirements-for-machine-learning/> [Accessed 7 May 2022].