How AI Technology Is Built And How It Works Artificial Intelligence (AI) is the process of infusing human intelligence into machines to enable them to think like humans. To understand this technology easily, you need to know how Artificial Intelligence (AI) works.
In fact, AI is a field of computer science that uses the human mind. The AI system does not run by itself, it has to be fed with data, i.e. information and data, which is a kind of ‘data source’. And the AI system processes it. It builds a model from the way it is initially trained and produces results based on data, interacts with, or mimics the human mind. The more data is fed into the AI, the better it becomes.
However, not all AI systems require large data sources. Especially ‘big data’ is a very important aspect of AI. AI requires four main processes to work, machine learning, neural networks, data and data processing, and algorithms.
The AI system learns from data through the process of machine learning. However, to process the data, software programs and algorithms are needed to extract useful information from the data. Now there is so much data that it can be called a pyramid of data. A mathematical model is needed to process this data. ‘Image classification’ is an example of this. As you go to some websites, you are asked to choose among many photos that show traffic lights. Identify the cat in the photo. How does the system know if you have selected the right photo or not? Yes, this is machine learning.
Another important part of AI is the neural network, which is also known as the ‘building blocks of AI’. Especially machine learning of AI systems is due to neural networks.
Which is a neural network architecture inspired by biology. Just as the neurons of the human brain are interconnected, in the same way, there are many types of hidden layers in the neural network. Data processing takes place by passing through those layers. As the data passes through the layers, it enters the deep learning stage of the machine. By connecting all the connections in the data, the AI system gives good results.
Its method is as follows;
First, the input layer receives the data. The hidden layer processes the data. Finally, the result is obtained through the output layer. The most important thing for artificial intelligence is data. Data is also called ‘Fuel for AI Systems’. Because without a data set to train an AI model, nothing can be done. Such a data set needs to have many types of characteristics.
As the data should be complete, no data should be missing. Data continuity is also required for AI systems to work. Data should be accurate and factual. It should not contain any wrong data. Also, the data should be updated. Generally, three types of data input should be given to training an AI system, i.e. structured, unstructured, and semi-structured data.
Structured data includes dates, locations, credit card numbers, number series, or other standard input methods. In structured data, data is always in a standard format.
Algorithms are the last important part of artificial intelligence. Algorithms are also called the ‘backbone’ of AI. Algorithms, in particular, are mathematical processes that describe how AI systems learn, improve decision-making, and manage problem-solving. The raw data is transformed into useful data by the algorithm itself and it comes to the work of the customer and the company.
Now that you understand how an AI system works, let’s look at some real-life examples of it. Human life is surrounded by the progress made in the field of technology. People have started using devices, technologies, and systems with new types of AI features from morning to night. Moreover, human life is becoming easier and affected by the use of technology with AI features.
As soon as we reach the office every day, our job is to check the email. Your system may have ‘Grammarly’ or other spell-checking tool activated. These spell-check tools work to make sure that you don’t make mistakes in your email and in the correctness of your sentences. For this, these tools use AI and natural language processing. In addition to receiving emails in your inbox, AI is also being activated to filter spam messages.
Suspicious spam is identified and blocked. In fact, even installed antivirus software protects your email using machine learning methods. Even to check whether our system has an internet connection or not, we type Google in the address bar and not a day goes by without us doing a Google search. In our search command, Google searches the entire internet and gives the correct results. This is possible because of AI. Also, the advertisement that we see on any website, blog, or YouTube channel is activated by AI itself.
If you use a platform like Amazon for shopping, its AI algorithm knows what you and people like you like. Recommends products to you based on that. If we download any app it asks for access to the mic, gallery, and contact and we give access to it. If you screw up your earphones, that will be transmitted to the app through the phone’s mic. From there, the data is filtered and goes to the company and shopping website. If any product is recommended on your shopping website, it is done by AI.
You start watching web series or movies on the OTT platform to get rid of the tiredness of working all day. Now that you have opened Netflix, the company’s ‘Artificial Intelligence Supported Recommendation Engine’ will recommend you to watch more movies or web series of the same type based on the movies or web series you have watched before in the app.
For this, the protein that the virus was made of was investigated. Like spike protein. Researching this and producing a vaccine was an important role of AI. AI system studies such a complex structure analyzes thousands and millions of components and searches for one. Which can develop immunity in the human body. To continue making the vaccine over time, the AI system keeps looking for such components, which have no possibility of being mutated or changed. This is possible through computational analysis and machine learning algorithms.
The vaccine researcher gets data insight from the AI system and it becomes easy to study whether the virus is mutated or not shortly. This again requires big data or data sources, which are obtained from thousands of experimental or real sources. There was no shortage of such data during the COVID-19 pandemic, as the entire world was in the grip of the Coronavirus. In 2019, the National Institute of Allergy and Infectious Diseases conducted the first clinical trial of an AI-based flu vaccine in America.
Generative AI takes data in the form of text, photo, video design or audio note or any other input and creates an exact replica with the help of different AI algorithms. This includes photos, audio, voice, essay, problem-solving, and deep fake content. Chat GPT, Bard AI, Avatar AI, Microsoft Bing’s Image Creator are some famous examples of Generative AI. As a modern part of AI, generative AI is a very complex subject.
As AI becomes a self-learner, it becomes increasingly difficult for a computer scientist to understand it and know how a self-taught algorithm reaches conclusions. As its capacity increases, its use in our daily life also increases.