Recently in the science space, there has been a lot of talks about artificial intelligence aka AI. It is a very broad subject on its own in computer science. A lot of researchers and scientists have come up with different definitions and views about artificial intelligence. However, I think it is better to follow the definition of the original owner of the idea of John McCarthy.
He proposed the idea and also coined out its definition is 1955 at the Dartmouth Conference and here is how he defined it “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. He further proposed that an attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans and improved themselves”.
In simple terms, Artificial intelligence AI are machines with a developed intelligence ability to solve problems which are usually done by humans. The easiest way to understand AI is in a human context since humans are the most intelligent creatures on earth, so the goal of AI is to create systems that can function intelligently and independently own their own for example robots, automated machines and so on.
Therefore AI is just of branch of computer science that mimic human intelligence. There are Seven (7) areas of AI that were initially proposed. As of now due to further research and experiment more areas has been added, below are the original seven areas of AI
Artificial Intelligence | Advantages of Artificial Intelligence
Seven Areas of Artificial Intelligence:
- Simulating higher functions of the human brain.
- Programming a computer to use the general language.
- Arranging hypothetical neurons in a manner so that they can form concepts.
- A way to determine and manage problem complexity.
- Abstractions: Defined as the quality of dealing with ideas rather than events.
- Randomness and creativity.
And so after 60 years from then most of these areas have been greatly achieved and explored and below are some few examples of AI
Examples of Artificial Intelligence
- Machine learning
- Computer vision
- Natural language processing (NLP)
- Pattern recognition and
- Knowledge management
Other different types of AI include
Strong AI: this type of artificial intelligence simulates the human brain by building systems that think and also in the process give us insight into how the human brain works. Strong AI can do anything as well or even better than a Human.
Weak AI: A weak artificial intelligence is the direct opposite of the strong AI i.e it is a system that behaves like a human but doesn’t give us an insight into how the brain works. So simply put a weak AI on achieving the result of a human an example is IBM chess-playing AI.
Artificial intelligence, as already simplify is a broad branch of computer science that mimic human intelligence through complex systems of speech recognition, statistically learning, natural language processing (NLP), computer vision which is made possible by symbolic learning and also another system called robotics to make movement around fluidly and also machine learning and pattern recognition, neuron network, deep learning for learning complex things. AI works in two ways i.e symbolic based and machine learning which is based on data because you need to feed the machine with a lot of data before it can learn and perform the task it was created for.