Artifical intelligence is also known as machine intelligence. Artifical intelligence is basically when a machine has the ability to do the same cognitive functions as that of a human. As a human percieves its environment and makes conclusions and decisions, artificial intelligence allows machines to mimic that cognitive function of humans and make it more accurate and precise. So, for example, machine with artificial intelligence can learn from its environment and can solve problems, whether they are linguistic (example of writing a text or essay itself !), mathematical, related to medical or which ever field. A machine can now do what humans can also do.
How far the scope of artificial intelligence goes is quite disputed. This is because of something known as the ‘artificial intelligence effect’ which says, “Artificial intelligence is whatever that has not yet been done”. For example, the most mainstream of technologies which once used to be classified as artificial intelligence are now not included or known as artificial intelligence. For example, optical character reading. What is, however, classified as artificial intelligence are a few functions done by machines which are quite unique. For example ,recognising the language a human is speaking, understanding human speech, competing against humans in strategic games such as chess, operating cars and aircrafts automatically and even military simulations. These functions are not as mainstream which is why they are still classified as artificial intelligence.
History of Artificial Intelligence
Artificial intelligence was first found in 1956. There were a lot of high hopes expected from this particular technology however, it did keep failing and there was a huge loss of funding. That phase was called the ‘Artificial intelligence winter’. Artificial intelligence has been invested in again and again and there have been many bouts of success as well.
Artifical intelligence has been divided into sub-fields. These sub-fields often fail to communicate with each other because each sub-field has a different goal, usage of specific tools and other philosophical differences as well as social factors.
Artificial intelligence has faced a lot of problems over the years. Some of them are reasoning, planning, learning, the ability to manipulate or move objects, perception and language processing. However, artificial intelligence draws upon and from many fields such as linguistics, mathematics, psychology, philosophy and computer science. The number of fields artificial intelligence can draw from and upon keeps on growing with advancing technology and knowledge.
The creation of artificial intelligence has managed to create a lot of philosophical questions about the nature of the human mind, how easy it is to copy and simulate. Many people are now afraid that if artificial intelligence progresses and is left unchecked, it may pose a great danger to humanity. While many people are also worried that with advancing artificial intelligence, there may be less employment opportunities as manual labour and human employees may start to be replaced by machines ‘acting like humans’.
However, there is no denying that artificial intelligence does have its benefits. To test an excellent Artificial intelligence in the linguistic field, check out essay typer .