Artificial intelligence is intriguing, astonishing, and sometimes unsettling. However, it is still difficult to know what this term really means. Is it a futuristic project? Or is it a revolutionary solution? AI is a part of our daily lives. So, what exactly is artificial intelligence? And most importantly, how does it work?
What is artificial intelligence?
Artificial Intelligence (AI) is a field of computer science that can create a form of technological intelligence equivalent to human intelligence. It is still difficult to define it universally, but it is subject to various theories. Nowadays, there are several methods used to reproduce it. The problem is that artificial intelligence raises many practical, political, and ethical questions. Should it show empathy or rationality? Where does intuition fit into artificial intelligence? Artificial intelligence and all of its potential is both intriguing and scary.
Yet without it, the fields of medicine, travel and business would not have progressed as much as they have. How exactly has artificial intelligence made these revolutionary developments possible?
How artificial intelligence works
The human brain is already in itself quite complex. There is a reason why our society needs neuroscientists, neuropsychologists, psychiatrists, and psychoanalysts. So, when it comes to creating a ‘technological double’, where do we start?
Artificial neural networks
Artificial intelligence is similar to human intelligence in the sense that it works through an interconnected neural network. This is why artificial intelligence experts have created equations with varying parameters. Each equation is interconnected with the other equations to create artificial intellectual stimulation. In other words, the knowledge of artificial intelligence is the result of these equations – also called functional units – that work with each other using a bottom-up approach and are constantly enriched. This neural network takes the data we want to process as its input. In this case, the equations are used to extract the important information from the data and to infer a possible relationship with the expected outputs. The purpose of different round trips between the layers are used to check that the network is working properly and that the inferred equations are relevant.
Through this interconnection of artificial neurons, artificial intelligence comes as close as possible to the workings of the human brain.