People in the 21st century rely on all kinds of machines and computers in their everyday lives. In fact, you are using one type of a machine right now in order to read this. Machines have gotten more advanced over the years, making our lives easier and more practical. But can machines have the ability to learn? Can they recognize certain patterns and adjust their performance on a particular task without being explicitly programmed to do so? Let’s find out.
What Is Machine Learning?
Machine learning is a form of computer science where computers are given the ability to “learn”. While a computer is not a conscious being, it can still be taught to recognize certain patterns and adjust its behavior to find a solution to a specific problem or a task. Although a computer of this kind is still pre-programmed to do this, it does not require supervised learning to work.
Having all of this in mind, know that this kind of a machine is not only able to learn and spew out different kinds of information, but also to predict certain events. The most common use for machine learning is found in the field of data analytics. By mixing the given data and using complex algorithms, a computer can produce reliable predictions that an average human will take a lot more time to make.
Most of all, the goal of this field of science is to teach machines how to handle new and unseen data without having to program them additionally. Although machines can’t accurately predict the future, they can use data to give approximate predictions about the upcoming events.
Will Machines Ever “Take Over”?
One of the biggest dystopian fears in a modern society is that the machines will one day be so advanced, that we will lose control over them and they will be able to take over the control of our lives completely. This, in particular, has been a subject of many books, movies, and TV shows in the past century.
The development of artificial intelligence has been in science for over half a century. Machines can today recognize faces, speech, and we even programmed cars to drive on their own. However, machines have always been well within our control. While machines can perform certain tasks with a much higher efficiency than humans, a human brain is still unmatched in terms of complexity. Machine intelligence is reduced to data algorithms, which means that a machine cannot develop consciousness and think for itself since it’s programmed to do only a particular set of tasks and not stray away from them too much.
In conclusion, machine learning is a useful field of science that accurately predicts events and gives us valuable data. As machines keep replacing us, they will always depend on their creators. We should not fear machines but rather understand how they work and how they can help our lives be better.