The concept of artificial intelligence (AI) is definitely not a new one.
For most of us, our first encounter was through the science fiction (Sci-fi) movies.
We have been gripped by The Terminator series, The Matrix, I.
It influences our work, entertainment, and leisure.
These phrases are sometimes used interchangeably however, they have different meanings.
In this article, we will explore the world of artificial intelligence and explain how these terms differ.
Table Of Contents
ARTIFICIAL INTELLIGENCE In solving a problem
Artificial intelligence is a subsection of computer science.
This term was created by John McCarthy in 1956.
He defined it as the science and engineering of making intelligent machines.
AI is classed into two categories; general and narrow AI.
General AI systems possess all the features of human intelligence i.e.
it can perform any task a human can, or even better.
This ranges from solving problems, recognizing faces, sounds and objects to understanding languages.
Narrow AI has the ability to perform only dedicated tasks e.g.
Facebooks facial recognition capability, the image classification feature on Pinterest.
For AI to work, it needs access to information that would increase its chance of performing its duties.
MACHINE LEARNING
This phrase was created by Arthur Samuel in 1959.
A system with this capability gets increasingly better at performing a certain function.
So, Google Search is able to make suggestions based on our previous search histories.
Music streaming services are able to make recommendations by comparing the musical taste with other users.
DEEP LEARNING
This is a subset of Machine Learning.
It works using the Artificial Neural internet (ANN).
ANN is a system based on how neurons in the brains connect and function.
This layering is where the name deep learning is derived.
An example of this is a self-driving car.
Each layer of this model would learn a certain task such as recognizing a pedestrian or identifying street signs.
A combination of these different tasks will enable it to navigate the streets.
In the health sector, deep learning has been successful in identifying biomarkers in cancer diagnosis.
Artificial Intelligence is a generic term for intelligence displayed by machines.
ML and DL require a large volume of data to work with.
smartphones, appliances, vehicles, machines that are accessible via the internet.
The more devices are connected, the more information is collected.
The relationship between Artificial Intelligence and the Internet of Things is complimentary.
With both advancing rapidly, the possibilities are endless.
source: www.techworm.net
