7 types of artificial intelligence you should know about in 2023 (2023)

What is artificial intelligence?

Artificial intelligence is the process of building intelligent machines from vast amounts of data. Systems learn from past learning and experiences and perform human-like tasks. It improves the speed, precision, and effectiveness of human effort. AI uses complex algorithms and methods to build machines that can make decisions independently.machine learninganddeep learningforms the core of artificial intelligence.

AI is now used in almost all sectors of the economy:

• Transport
• healthcare
• banking
• retail trade
• entertainment
• Ecommerce

Now that you know what AI really is, let's look at what the different types of artificial intelligence are.

types of artificial intelligence

Artificial intelligence can be divided into skills and functionalities.

There are three types of artificial intelligence based on skills -

• Narrow AI
• General AI
• Tolle Ki

Under functionalities we have four types of artificial intelligence -

• Reactive Machines
• Limited Theory
• theory of mind
• self-consciousness

First, we will look at the different types of artificial intelligence based on skills.

Artificial intelligence based on skills

What is Narrow AI?

Narrow AI, also known as weak AI, focuses on a narrow task and cannot work beyond its limits. It targets a single subset of cognitive abilities and advances across that spectrum. Narrow AI applications are becoming more and more common in our daily livesMachine Learning and Deep LearningMethods are evolving.

• Apple Siri is an example of a narrow AI that works with a limited predefined set of functions. Siri often struggles with tasks that are beyond his capabilities.
• The IBM Watson supercomputer is another example of narrow AI. It applies cognitive computing, machine learning and moreNatural Language Processingto process information and respond to your inquiries. IBM Watson once surpassed human contestant Ken Jennings to become champion on the popular game show Jeopardy!.
• Other examples of Narrow AI include Google Translate, image recognition software, recommendation systems, spam filters, and Google's page ranking algorithm.

What is general AI?

General AI, also known as strong AI, can understand and learn any intellectual task that a human can. It allows a machine to apply knowledge and skills in different contexts. AI researchers have not been able to achieve strong AI so far. You would have to find a way to make machines conscious and program a full set of cognitive abilities. General AI has received a $1 billion investment from Microsoft through OpenAI.

• Fujitsu built the K-Computer, which is one of the fastest supercomputers in the world. It is one of the significant attempts to achieve strong AI. It took almost 40 minutes to simulate a single second of neural activity. Therefore, it is difficult to determine whether strong AI will be achieved in the near future.

• Tianhe-2 is a supercomputer developed by China's National University of Defense Technology. It holds the record for cps (computations per second) at 33.86 petaflops (quadrillions of cps). While that sounds exciting, the human brain is estimated at one exaflop, i.e. one billion cps.

What is Super AI?

Super AI surpasses human intelligence and can perform any task better than a human. The concept of artificial superintelligence sees AI evolved to be so similar to human feelings and experiences that it not only understands them; it also arouses one's own emotions, needs, beliefs and desires. Their existence is still hypothetical. Super AI's critical traits include thinking, solving puzzles, making judgments, and making decisions on its own.

Now we will look at the different types of artificial intelligence based on functionalities.

Artificial intelligence based on functionalities

In order to describe the different types of artificial intelligence systems, it is necessary to categorize them based on their functions.

What is a reactive machine?

A reactive machine is the primary form of artificial intelligence that does not store memories or use past experiences to determine future actions. It only works with current data. They perceive the world and react to it. Reactive machines are equipped with specific tasks and have no abilities beyond those tasks.

IBM's Deep Blue, which defeated chess grandmaster Garry Kasparov, is a reactive machine that sees and reacts to the chess pieces. Deep Blue cannot rely on previous experience or improve with practice. It can identify the pieces on a chessboard and how each moves. Deep Blue can make predictions about what moves might be next for him and his opponent. It ignores everything prior to the present moment and looks at the chessboard pieces as they stand, choosing from possible next moves.

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What is limited storage?

AI with limited memory trains on past data to make decisions. The memory of such systems is short-lived. You can use this past data for a specific period of time, but you cannot add it to a library of your experiences. This type of technology is used in self-driving vehicles.

• Limited Memory AI observes how other vehicles are moving around them, currently and over time.
• This continuously collected data is added to the AI ​​engine's static data, such as lane markings and traffic lights.
• They are involved when the vehicle decides when to change lanes, not cut off another driver, or hit a nearby vehicle.

Mitsubishi Electric has figured out how to improve this technology for applications like self-driving cars.

What is the theory of mind?

Theory of Mind AI represents an advanced class of technology and exists only as a concept. Such type of AI requires a thorough understanding that the people and things in an environment can change feelings and behaviors. It should understand people's emotions, feelings and thoughts. Although there are many improvements in this area, this type of AI is not yet complete.

• A real-world example of Theory of Mind AI is Kismet. Kismet is a robotic head created by a researcher at the Massachusetts Institute of Technology in the late 1990s. Kismet can mimic and recognize human emotions. Both abilities are important advances in Theory of Mind AI, but Kismet cannot follow gazes or draw attention to humans.

• Sophia from Hanson Robotics is another example where Theory of Mind AI was implemented. Cameras in Sophia's eyes combined with computer algorithms allow her to see. She can maintain eye contact, recognize people, and follow faces.

What is self-awareness?

Self-awareness AI only exists hypothetically. Such systems understand their internal characteristics, states and conditions and perceive human emotions. These machines will be smarter than human minds. This type of AI will not only be able to understand and evoke emotions in those it interacts with, but will also have its own emotions, needs, and beliefs.

Master deep learning, machine learning, and other programming languagesAI and machine learning courses.

Conclusion

We may be far from creating machines that can solve all problems and are self-aware. But we should focus our efforts on understanding how a machine can train and learn on its own, and have the ability to base decisions on past experience.

I hope this article helped you understand the different types of artificial intelligence.

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