We often hear about artificial intelligence and machine learning, two terms that have the latest technological revolutions as their common denominator.
But what is artificial intelligence and what is different from machine learning?
Artificial Intelligence vs. Machine Learning: How Are They Different?
To answer this question we must begin by describing the two technologies separately.
First of all, it is good to immediately point out that, although they are closely connected to each other, artificial intelligence and machine learning are not the same thing. It would be more correct to define them as two sides of the same coin.
Artificial intelligence, in fact, is the science that for years has been aiming to develop machines capable of making decisions in perfect autonomy. The thought immediately runs to the robots. Advanced learning, on the other hand, is the algorithm that makes computers even more intelligent. We try to see in detail what the real differences between these concepts are. Read on!
Artificial Intelligence vs. Machine Learning: Basic difference
More and more often we hear of artificial intelligence, but also of machine learning, the latter term sometimes used improperly as synonyms of the first.
The term “artificial intelligence” (AI or IA) was coined for the first time in the 1950s and involves all those computational machines capable of performing tasks characteristic of human intelligence machine learning is simply a way to reach artificial intelligence.
What is Artificial intelligence (AI)?
Have you still not understood?
Well, more concrete examples will help to better understand the two concepts.
Artificial intelligence could be defined as the science that develops the architecture necessary for machines to function like the human brain. Have you ever heard of neural networks?
It is a computer system that tries to simulate biological neuronal networks.
The final objective of AI (artificial intelligence) is, as anticipated, to create computers with reasoning abilities similar (if not equal) to human beings.
What is Machine learning (ML)?
Machine learning, on the other hand, is an algorithm that allows intelligent machines to improve over time, exactly as it does with the human brain.
Without advanced learning, in fact, it would not be possible to put artificial intelligence into motion. Let’s take an example. Autonomous driving cars are based on both artificial intelligence and advanced learning.
Machine learning allows the car to remember the road traveled or to recognize and avoid the obstacles encountered previously.
In short, thanks to advanced learning, computers with artificial intelligence learn.
What are the similarities between Machine Learning and Artificial Intelligence?
- Both can be used to build sophisticated systems to perform certain tasks.
- Both are based on statistics and mathematics.
- Machine Learning is the new cutting-edge technology of Artificial Intelligence.
What is the difference between Machine Learning and Artificial Intelligence?
Machine Learning vs Artificial Intelligence
|Machine Learning is a type of Artificial Intelligence that allows a computer to learn without being explicitly programmed.
Use an algorithm to analyze data, learn from it and make decisions accordingly.
|Artificial intelligence is the theory and development of computer systems capable of intelligently performing tasks similar to a human being.|
|Focus on machine learning for precision and models.||Artificial intelligence focuses on intelligent behavior and the maximum chance of success.|
|Machine learning can be divided into categories to supervise learning, supervision less learning and reinforcement learning.||Applications based on artificial intelligence can be classified as applied or general.|
The Artificial Intelligence’ has become part of our lives every day: we exploit every day, perhaps unconsciously, when we use a search engine, while we buy something on the Internet, and take a photograph with a mobile phone, while dictating by voice a text message, etc.
Machine learning has recently achieved remarkable milestones in relation to artificial intelligence.
Enormous amounts of data collected from countless sensors on the Internet of Things improve and will continue to improve AI more and more.