Artificial Intelligence is lately more and more frequently commented. The advent of AI, anticipated in science-fiction movies, is now the reality. Although it is not visible, it appeared amongst us. Governments and business use AI.
How does Artificial Intelligence work?
When talking about AI, we often come across machine learning and neural networks. What do they mean? In the most straightforward term, Artificial Intelligence is an intelligence assigned to machines as opposed to that characteristic for human and animals. The goal is to enable computers to act and react like humans. Artificial Intelligence can recognize speech, learn, plan, solve problems and make decisions based on data. Today these activities drive forward many solutions like Google Assistant and Siri, able to respond to a set of commands. Nonetheless, AIs are in apps – whenever it suggests search results or sorts photos by photographed faces.
Artificial Intelligence can learn as well. If it does that basing on experience that it gathers when performing a task, it is machine learning. Neural networks are one of its forms.
Neural networks emulate the way the human brain works. They simulate its operation, process data and shows outcome. Afterwards, they confront results with the right answer. As the machine gains experience, results improve. Neural networks are used in, for example, Google Translator app.
Where is Artificial Intelligence
Solutions based on Artificial Intelligence operate in many fields and industries. Wherever it appears, one indicates higher efficiency in comparison to what human can achieve. It occurs to be particularly promising in the light of challenges that modern societies face.
Today already AI helps in many areas: law, medicine, education, finances, transport. There is a lot of talk about its application in medicine. On the one hand, AI speeds up development of medical research, on the other hand, it can solve many problems in the healthcare. All programs using AI in medical diagnosis achieve a higher accuracy not only in identifying diseases but also in people who are at risk of specific disease. Similar results one notes in solutions applied in other areas. The results produced so far are promising. Further developments in applications of AI could considerably improve the quality of life and solve complex problems, such as global warming or population growth in cities.