Artificial intelligence (AI) has evolved significantly in recent years and has become a powerful tool in a variety of fields. To better understand this technology and leverage it ethically and responsibly, It is essential to know the different types of AI that exist today.
With information from High levelwe present a list of the 10 most relevant types of AI in today’s world.
1. Natural Language Processing (NLP)
This type of AI focuses on allowing computers to understand words and texts in a similar way to humans. Notable examples include ChatGPT, Bard (from Google), and Bing Chat. NLP is used to automate processes involving text generation in various environments, such as education and commerce.
2. Machine learning
Machine learning is an AI discipline that uses algorithms and vectors to analyze large data sets, identify patterns, and make projections. Computer programs “learn” as more data is collected.
3. Expert systems
These programs are designed to make decisions and solve problems similar to humans. They use previously established knowledge bases, such as Case-Based Reasoning, to address requests and solve problems.
4. Deep Learning
Deep learning programs are similar to machine learning, but use algorithms that can generate much more complex answers. They are used in virtual environments, such as social networks.
5. Robotics
Robotics is a branch of AI that is used to automate processes and perform tasks that would normally be carried out by humans. The automotive industry has been a leader in the implementation of this technology.
6. Fuzzy logic
Fuzzy logic systems process data and classify it into values, allowing automated responses in ranges beyond binary options such as “true or false” or “yes or no.”
7. Computer vision
Computer vision focuses on creating programs that can analyze images and data contained in objects. It is used in industry to verify the quality of products and detect manufacturing errors.
8. Reactive machines
These programs respond to specific stimuli without learning themselves. An iconic example is the “Deep Blue” computer, which defeated chess champion Garry Kasparov in the 1990s.
9. Narrow artificial intelligence
In this case, the systems are designed to imitate human capabilities in a restricted and specific way. They perform specific functions and their responses are limited.
10. Artificial neural networks
These networks mimic the functioning of human neurons and are essential in machine and deep learning. They are used in speech recognition, image analysis, and classification of large data sets.