Computer skills and Research Sofiane Benzid

Small, M. (2018) The ethics of AI   Spread of information has become viral today, because of the internet. This also means that false news or rumors can spread speedily through social networking sites or emails. Being involved in the circulation of incorrect information is unethical. Mails and pop-ups are commonly used to spread the wrong information or give false alerts with the only intent of selling products. Circulation of false information is ethically wrong, and AI can can be used in both ethically and unethically, it has the potential to both stop misinformation and reinforce it. According to an article written by Horowitz (2021) Machine learning algorithms have the ability to detect misinformation based on writing style and the way articles are being shared. Furthermore, the research paper done by Horne et al. (2020) concludes after discussing Mturk's potential to to identify misinformation, that AI can be successful at detecting false stories unless the reader's...

First page of the academic paper   Today I would like to share with you a very informative academic research paper created by Imke van Heerden and Anil Bas titled " AI as Author – Bridging the GapBetween Machine Learning and Literary Theory"   published in 2021 in the Journal of Artificial Intelligence Research 71. The research paper discusses the importance of other academic research in further developing AI and provides conversation to improve the quality of AI writings and literary and further discusses about AI itself being able to write literacy and papers using algorithms capable of generating natural language. The paper reviews other literature papers concerning AI such as those from Jain et al. (2017), Li et al. (2018), Loller-Andersen and Gamb ̈ack(2018), Wei et al. (2018), Xu et al. (2018), Yang et al. (2018) etc... and evaluate their conjecture. The paper starts with defining "literature" as it is a very broad term which involves different genres and ...

  Author's work This simple Venn diagram helps explain the relationship and difference between Deep learning, Machine learning and AI and explains in which of them Data science is used. In summary, artificial intelligence is the collection of tasks that machines are able to execute. Machines learn these tasks with the help of machine learning and deep learning for specific cases. Together, these three processes are utilized in data science so that data can be converted into insights.

  Author's work

 In this example I will be showing you how you can do 3-D plotting in MATLAB, lets start: Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) . To evaluate z, first create a set of (x,y) points over the domain of the function using meshgrid. Write the following code : [X,Y] = meshgrid(-2:.2:2); Z = X .* exp(-X.^2 - Y.^2); Then create a surface plot, using this code: surf(X,Y,Z) The code should look this: Both the surf function and its companion mesh display surfaces in three dimensions. surf displays both the connecting lines and the faces of the surface in color. mesh produces wireframe surfaces that color only the lines connecting the defining points. Press the "RUN" button highlighted in the top panel of the software to display the 3-D Plotted figure, and the final result should look like this: You can display multiple plots in different subregions of the same window using the subplot function. The first two inputs to sub...

  References: Tutorialspoints (2021) MATLAB Overview. Available at: https://www.tutorialspoint.com/matlab/matlab_overview.htm (Accessed: 03/06/2021) MATLAB (2021) Available at: https://www.mathworks.com/

 In conclusion, Tesla is the highest rated car manufacturing company for autonomous cars in the present and it continues to develop internationally and this is owing to the fact that Tesla properly uses artificial intelligence to full potential to produce its vehicles and implement it in every way possible to produce innovative self driving electric vehicles which dominated the market. This case study clearly shows the connection between the main project theme of this blog and the success of the Tesla company and further illustrates the importance of AI. The research conducted is significant to help understand ways AI can be implemented and to encourage other companies and potential entrepreneurs to implement AI with vision to popularize the use of AI and revolutionize the planet. However, because of the limitations presented by the research and the case study, further research is suggested to provide a more accurate significance of artificial intelligence, I will be proceeding by ...

 Previous findings regarding Tesla company and its use of AI mean that Tesla is using AI to its advantage and it is what helped the company succeed and become the highest rated electric vehicle company and they also suggest that it has humongous potential to influence to our plant and change the world's view towards AI. it is important for more companies to follow the path of Tesla and it used AI to build innovative products and to have such impact on earth, if more and more companies start implementing AI to their products and this can lead the world to experience a new 5th industrial revolution which will completely change the world to an era that is futuristic looking with AI and robots everywhere just like it is envisioned by predictors. These findings can be related to similar companies who use AI such as the car company Waymo that uses artificial intelligence to produce autonomous vehicles, according to CNBC (2019) the self-driving car company Waymo has built the world’s...

Copyright free image  After reviewing literature regarding the Tesla company it can be said that Tesla is the highest rated company for self driving and electric vehicles which stands out from other car manufacturers, Tesla dominates market control and technological advancements and it has gained huge popularity over the years due to its innovative products that had global influence and has shown the world new potentials, it also used artificial intelligence in creative ways to its full potential and to grow itself and become successful and make innovative product, it is for these reasons that Tesla was chosen as subject of this case study in relation to the main project theme artificial intelligence, Artificial Intelligence has the potential to change the world . Tesla is applying it heavily when it comes to advancements in autonomous driving systems. Moreover, according to Elon Musk, it will also be used in other areas going forward, Image from Tesla website Tesla is using compu...

Many different studies have been conducted in regards to the Tesla company and its very influential CEO Elon Musk and numerous of literature review have covered this company, and it is generally concluded in these studies that Tesla company is a successful company with a huge impact in the present time and it has brought innovative products that changed our world and that it has great potential for our future and that they are the best in the electric vehicle field, however there are a few sources which show skepticism towards the company, in this section of the case study we will go over different sources that discuss Tesla and evaluate them. According to SupplyChainDive (2018) it was not tesla that invented the electric vehicles it was Robert Anderson in 1832, all that tesla did was popularize and promote this type of vehicle and not one single major company was making electric cars until the the announcement of tesla roadster in 2008 Copyright free image and since then Tesla radica...

 Tesla is an electric vehicle company founded in 2003 by Elon Musk and a group of engineers, in contrast to traditional vehicles that use fossil fuel gas as main energy supply, Tesla uses electricity and it is the company's specialization and vision, additional specialization of the Tesla company is its autonomous driving capability (Liu, 2021). Tesla uses lithium ion (Li-ion) batteries to power their vehicles, the battery system in vehicles weighs about 408 KGs and they consist of 6831 individual (Li-ion) cells (Tesla, 2021).  Right after they launch of the company in 2003, Tesla underwent rapid market development to become a 2.3 trillion dollar automotive company in the world (Liu,2021). Xaltius (2021) states that Tesla company uses unsupervised machine learning to allow the feature of autonomous driving and additionally with the help of autopilot technology which is built on principles of deep neural networks. The objective of this case study will be to examine how Tesla us...

This section of my primary research questionnaire will discuss the answers regarding my major theme questions. Firstly, I started with the following question "How much do you know about AI?", the answers to this questions vary and they are between 1 and 5 (1 being know nothing - 5 being knowing a lot), 2 of the participants know nothing about AI and 1 participants knows a lot, although the majority chose the numbers 2 which theoretically means not a lot. This suggests that not many are confident with their knowledge regarding artificial intelligence and most people do not know much about it. The chart below represents this: The following questions is about the trust level towards artificial intelligence, in other words how much do participants trust AI, surprisingly none of the participants fully trust AI, and it is evenly split between the following: Trust AI but not completely (8 people), Somewhat trust AI (7 people), barely trust AI (7 people) and the remaining 2 people do...