Taxonomy of artificial intelligence
Artificial Intelligence, Machine Learning, Deep Learning… What do these expressions mean? Are they interchangeable or do they have different meanings? Let’s now obtain some clarity.
Artificial Intelligence: creating intelligent machines
AI refers to the ability of technology to mimic human intelligence: learning, reasoning, solving problems and making decisions. This technology makes it possible to simplify and almost never replace the functions of a thinking brain belonging to a human being.
Machine Learning: training machines to learn from data
Machine Learning is the discipline that collects and studies techniques to achieve AI. It uses various mathematical and algorithmic methods, including deep-learning techniques. These algorithms learn from data and some are able to improve their performance in making predictions or decisions autonomously, with only a little (sometimes without) human intervention.
Deep Learning: performing complex operations by exploiting neural networks
Deep Learning is the most advanced Machine Learning technique and is inspired by the structure and functioning of the human brain. It consists of deep artificial neural networks, i.e. interconnected nodes that mimic biological neurons. These nodes make it possible to create learning models that produce results similar to what a human being would create: analyzing data, understanding text and photographs, and even generating text, audio, video and images.
