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Types of Artificial Intelligence
Types of artificial intelligence are probably the most complex and unique creations of humanity. And that’s without taking into account the fact that the field remains uncharted mainly, meaning that every particular application of AI we see today merely represents the tip of the AI iceberg. While this fact may have been stated and reiterated numerous times, it is still difficult to gain a comprehensive perspective on the potential impact of AI in the future. It is the revolutionary impact AI has on society, even at a relatively early stage in its evolution.
Understanding AI Classification Types
Since AI research aims to make machines emulate human-like functioning, the degree to which an AI system can replicate human capabilities is used to determine AI types. An engine compares to humans in terms of versatility and performance, and AI can be classified into one among multiple types of AI. Under such a system, an AI that can perform more human functions with equivalent proficiency levels would be considered a more evolved type of AI. In contrast, an AI with limited functionality and performance would view as a more straightforward, less developed type.
There are Some Types of Artificial Intelligence
1. Reactive Machines
These are the oldest forms of AI systems that are extremely limited in capacity. They emulate the ability of the human mind to respond to different types of stimuli. These machines do not have memory-based functionality. Such devices cannot use previously gained experiences to inform their current actions. That is, these machines cannot “learn”. These machines can only be use to respond to a limit set or combination of inputs automatically. They cannot be used to rely on memory to enhance their memory-base operations. A famous example of a reactive AI machine is IBM’s Deep Blue, a device that beat chess grandmaster Garry Kasparov in 1997.
2. Limited Memory
Memory-limited machines are machines that, in addition to having the capabilities of purely reactive machines, are also capable of learning from historical data to make decisions. Almost all existing applications that we know of belong to this category of AI. All current AI systems, such as those using deep learning. Are train by large volumes of training data stored in their memory to form a reference model for solving future problems. For example, an image recognition AI is train using thousands of images and their labels to teach it to name objects it scans. When such an AI watches an AI, it uses the training images as references to understand the content of the image presented to it and,
3. Theory of Mind.
While the previous two types of AI have been and are in abundance, also the following two types of AI exist, either as a concept or a workin progress. Theory of Mind AI is the next level of AI systems researchers are currently innovating on. A theory of artificial intelligence at the mental status will better understand the entities you are interacting with by discerning. Their needs, emotions, beliefs, and thought processes. While artificial emotional intelligence is already a budding industry. And an area of interest for leading AI researchers. Achieving the Theory of Mind level of AI will also require development in other branches of AI. To truly understand human needs, AI machines will have to perceive humans as individuals whose minds can be shape by multiple factors, essentially “understanding” humans.
4. Self-Aware
It is the final stage of AI development that currently only exists hypothetically. Self-aware AI, which, self-explanatory. Is an AI that has evolved to be so much like the human brain develop a consciousness of its own. Creating this kind of Ai, which is decades if not centuries away from materializing, is and always will be the ultimate goal of all AI research. This type of AI will not only be able to understand and evoke emotions in those it interacts with but will also have emotions, needs, beliefs, and potentially desires of its own. And this is the kind of AI that techies are wary of. Although the development of self-awareness can propel our progress as a civilization by leaps and bounds, it can also lead to catastrophe.
The alternative classification system that is more generally use in technological parlance. Is the classification of technology into Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI).
5. Artificial Narrow Intelligence (ANI)
This Types of artificial intelligence represents all existing AI, including even the most complicated and capable AI created to date. Limited artificial intelligence refers to artificial intelligence systems that can only perform a specific task autonomously using human-like capabilities. These machines can do no more than what they are program to do. And also therefore have a very limited or limit range of competencies. According to the classification above, these systems also correspond to all memory-limited and reactive AI. Even the most complex AI that uses machine learning and deep learning to teach itself falls under ANI.
Conclusion
Artificial intelligence is the ability of a fake intelligence agent to learn, perceive, understand. Function entirely like a human being. These systems will be able to build multiple competencies and form connections independently.
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