AI shouldn’t stop at reaching the human level it must go beyond the capabilities of humans for it to reach its peak potential.
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
There are too many definitions for artificial intelligence but the most common among them are
The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
A machine completing the tasks which involve a certain degree of intelligence which was previously deemed only to be done by humans.
Is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction.
Artificial intelligence has a lot of uses, most common uses are
Speech Recognition.
Planning.
Problem Solving.
Types of Artificial intelligence (AI).
AI can be classified into too many ways
Reactive Machines
Limited Memory
Theory of Mind
Self-awareness
There are many ways AI can be achieved some of them are as follows:
Machine Learning (ML): It is a method where the target(goal) is defined and the steps to reach that target is learned by the machine itself by training(gaining experience).For example to identify a simple object such as an apple or orange. The target is achieved not by explicitly specifying the details about it and coding it but it is just as we teach a child by showing multiple different pictures of it and therefore allowing the machine to define the steps to identify it like an apple or an orange.
Natural Language Processing (NLP): Natural Language Processing is broadly defined as the automatic manipulation of natural language, like speech and text, by software. One of the well-known examples of this is email spam detection as we can see how it has improved in our mail system.
Vision: It can be said as a field which enables the machines to see. Machine vision captures and analyses visual information using a camera, analog-to-digital conversion, and digital signal processing. It can be compared to human eyesight but it is not bound by the human limitation which can enable it to see through walls(now that would be interesting if we can have implants that can make us see through the wall). It is usually achieved through machine learning to get the best possible results so we could say that these two fields are interlinked.
Robotics: It is a field of engineering focused on the design and manufacturing of robots. Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. Examples include car assembly lines, in hospitals, office cleaner, serving foods, and preparing foods in hotels, patrolling farm areas and even as police officers. Recently machine learning has been used to achieve certain good results in building robots that interact socially(Sophia).
Autonomous Vehicles: This area of AI has gathered a lot of attention. the list of vehicles includes cars, buses, trucks, trains, ships, submarines, and autopilot flying drones etc.
My Thoughts on Artificial Intelligence (AI).
from my point of view, I see that AI has a very big potential that we are still a long way away from achieving it.
but we also have to be very careful with it as if it learns the wrong things it can get pretty scary as for example the robot Sophie was being interviewed and she said this very interesting thing "In the future, I hope to do things such as go to school, study, make art, start a business, even have my own home and family, but I am not considered a legal person and cannot yet do these things.". the last part already shows that Sophie is developing some kinds of emotion towards humans until now we thought that robots are emotionless but with AI that can be changed they can start thinking for their own.
Sources
https://medium.com/@chethankumargn/artificial-intelligence-definition-types-examples-technologies-962ea75c7b9b
https://www.techopedia.com/definition/190/artificial-intelligence-ai
https://www.fool.com/investing/2017/10/31/6-scary-stories-of-ai-gone-wrong.aspx
*Note: this topic has a lot of information from other websites while i did rephrase some of the writings*
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