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 further researching into how other companies use AI to be convinced of its importance in addition to learning and horning my skills in this marvelous subject.
Neural Networks Neural Networks, colloquially known as artificial neural networks (ANNs) and also simulated neural networks (SNNs), are a sub-fiend of machine learning which in it self is a sub-field of Artificial Intelligence, they are the brain of AI and are components of deep learning. The name and structure of NNs are similar to the human brain and were inspired by it, they imitate the biological neurons by signaling to each other (IBM, 2020). ANNs consist of an input layer of neurons, one or two hidden layers of neurons and a final layer of output neurons (Wang, 2003). The diagram illustrated exemplifies a simple architecture of a neural network, the lines which connect the neurons are called weights and are associated with a number which represent the strength of connection between neurons. There are many different types of neural networks and each are used for specific motives. Below are some of the most common ones used in the field: The perceptron “the oldest neur
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