Long time ago, When the invention of computers or machines were made, their probability to perform various tasks went on expanding exponentially. We Human Beings have developed the power of computer systems in terms of their diverse working domains, their speed level , how they work and how fast they can handle to do their work in very short period of time.
A Branch of Computer Science named Artificial Intelligence pursues creating the computers or machines which is as intelligent as Human Beings.
What is Artificial Intelligence?
The Artificial Intelligence is a way of making a computer, a computer-controlled robots, or a software who think as intelligent, in the same manner of Human Beings thinks.
According to father of Artificial Intelligence, John McCarthy said, it is “The science and engineering of making machines, especially intelligent computer programs”.
How Human Brains work, is accomplished by Artificial intelligence, and how human learn, decide, the way of solving the complex problems, and then by using the outcomes of this study as a basis of developing intelligent software and systems.
Philosophy of Artificial Intelligence :
While Exploiting the power of Artificial Intelligence of the computer system, the curiosity of human, lead him to wonder, “can a machine think and behave exactly same as a humans do?”
After thinking of this, the development of Artificial Intelligence started, with the intention of creating similar intelligence in machines also, that we find and regards high in humans.
Goals of Artificial Intelligence:
To create Expert Systems – Here to create Expert Systems means Knowledge Representation and Reasoning.
Knowledge representation and reasoning also known as KR&R or KR, which is a specific field term within Artificial Intelligence focusing on designing and Implementing computer representations that can process information about the world to solve complex problems.
One of the major goal of Artificial Intelligence, KR&R specially aims to automate different kinds of reasoning, which involves the conditions of factors or the relationship between the ideas, or rules or the transitions between the sets of facts in the manner which can be interpreted by a computer system.
For assisting physicians interpret medical images, some of the applications of knowledge and reasoning include computer- aided diagnosis, as well as natural language user interface which also involves human language as input for interacting with computers or software’s.
Automatic Scheduling and Planning :
Sometimes, it is called as Artificial Intelligence planning, automated planning and scheduling is another subset and field of Artificial Intelligence concerned with the automated generation of actions of sequences which corresponds to strategies that can be executed by an Artificial Intelligence system such as unmanned vehicles or Autonomous Robots.
One of the Basic problem of Artificial Intelligence of AI research, AI planning aims to mechanize and automate the generation of a plan which is based on predetermined goals and objectives, and a set of possible actions. Also note that, this is one of the fundamental abilities needed to increase the flexibility of Artificial Intelligence system and the Autonomy of AI.
The specific Field of Machine Learning is of Artificial Intelligence and actual development application of AI is different.
Both involves the study of algorithms and the statistical model that computer systems can use to perform the specific tasks to do so, which requires a specific dedications and patience to do it and to see the actual results come after doing some experiments while training the Artificial systems.
The concept of Machine Learning is different approach to computer programming, to be more specific, it involves the development and use of computer algorithm that can be process and analyze BIG DATA and learn from the outcome without being explicitly programmed.
Computer Vision :
The computer Vision involves the acquiring and understanding the visual data from still or moving the digital images or live images from the real world to process them in such a manner that the Artificial Intelligence system can utilize to make decisions very easily.
The main Aim of computer vision, as one of the major problems in AI research, centers of the computerizations and automations of the tasks which can be performed naturally by human vision, as well as the development of the system that can be process, interpret and utilize the visual reality and with the augmented reality also.
Another major Goals of Artificial Intelligence is the Robotics, one of the subsets and fields of Artificial Intelligence. Also keep in mind that, it is an interdisciplinary branch of engineering, and information engineering.
Robotics is the part of design, construction and to make the operations of the robotics which can replicate human actions and replace tasks with mechanical tasks given to him. The integration of AI in robotics which corresponds to equipping robots with sensory feedback and the information capabilities to allow them to operate autonomously.
The current Research in Robotics aims to introduce to commercial, domestic, and military applications.
Also the Online Retailer of Amazon, they are also using autonomous robots in its warehouse facilities with the task of organizing items and making warehouse operations for more efficient work.
What are the 3 types of AI?
- Reactive machines
- Limited Memory
- Theory of Mind .
- Types of Artificial Intelligence:
- As for such, there are plenty of types of Artificial Intelligence, also there are plethora of terms and definitions in AI that can make it difficult to navigate the difference between categories, subsets, or types of artificial intelligence – and they are all not the same. Some subsets of AI include machine learning, big data and natural language processing (NLP); however this article covers the 3 main types of Artificial Intelligence.
- 1. Reactive Machines: Reactive machines are the most basic types of artificial Intelligence System. This means that they cannot form memories or cannot use the past experiences to influence present – made decisions; they can only react with the currently existing situations- that’s why, it is called as reactive machines. An existing form of a reactive machine is deep blue, a chess playing supercomputer which is created by the IBM in the mid- 1980s.
The Deep blue was created to play chess against a human competitor with intend to defeat the competitor. It was programmed with the ability to identify a chess board and its pieces the competitor. It was programmed with the ability to guess a chess board and its pieces while understanding the pieces of functions.
The deep blue can make the predictions about what moves it should make and thus the moves its opponent might take, thus having an enhanced ability to predict, select and to win increases.
2. Limited Memory: The limited memory comprised of machine learning models that derive knowledge from previously learned information’s, stored data or events. Unlike reactive machines, limited memory learns from the past by observing actions or the information which is fed to them in order to build the experimental knowledge.
With preprogrammed data, limited memory builds on observational data in conjunction, which already contains these sample pieces of information which are fleeting. An existing form of limited memory is autonomous vehicles.
Autonomous vehicles or self-driving cars, uses the principle of limited memory by which they usually depend on the combination and preprogrammed knowledge. To observe and understand how to properly drive and functions among the human behavior pattern which dependent vehicles, self-driving cars which can read their environment, detect the patterns or changes in external factors and adjust as necessary.
3. Theory Of Mind : The theory of mind is decision making ability which is equal to the extent of a human mind, but with the help of machines is called as Theory of mind. While there are some machines that currently exhibit human like capabilities (Voice assistance) but none of them are fully capable of holding conversations relative to human standards. One component of human conversations which is having emotional capacity, or sounding and behaving like a person same like his standard of conversations of pattern.
1. What qualifies as Artificial Intelligence?
Artificial Intelligence seems to have become ubiquitous in the technology industry. Even Mark Zukerberg is also building one to help out around the house. The problem with Artificial Intelligence is that, the concept is way too potent for its own goods, conjuring images of supercomputers that operates spaceships, rather than particularly clever spam filters.
Most of the people are worrying about exactly how and when the AI is going to doom humanity.
In Today’s time, Deep Learning techniques are now being employed for all sorts of everyday tasks. Many of the big tech company have their own AI divisions, and both Facebook and Google have launched efforts to open up their research by open-sourcing some of their software.
Google also launched a free 3 months online courses in Deep Learning last month only. While Academic researchers might work in relative obscurity, these corporates institutions are churning out novel applications for this kind of technology every week.
This is also another reasons why we are hearing a lot about deep learning. Lately, big, consumer facing companies are playing with it, and they are sharing some of their weird stuff of which they are making.
2. Why do you need to study Artificial Intelligence ?
Before know the actual reasons why do we need to study Artificial Intelligence, Lets First see its applications.
The Siri or the Google assistant are not just for the fun and entertainment but it actually cuts down the lots of typing while we are surfing something on internet.
Also one example is of Chess. Playing chess with a virtual opponent seems amazing, Right ?
Do you have any idea that google translate employs AI or the spam blockers incorporating the AI ?
Everyone of us are already using this, but currently we are not aware of those things.
AI is a subject that is evolving day by day and hitting a job in such a domain that would change your life entirely one day. That is the reason , why we should learn Artificial Intelligence.
3. How can we Apply AI ?
In order to use the Artificial Intelligence, you don’t need any programming or machine learning language or you not have to work any IT related company. We are by default presently using the products of AI and they have genuinely made our lifestyle more convenient and easy.
SIRI : The smart assistants are used almost by every body . they are having a right now, little bit slow, yet it is expected by 2025 , they will gradually occupy by almost every business.
The most effective applications of Artificial intelligence is Chatbots which is Learning ways to build chatbots. Currently, chatbots are based on some of the specific rules and they do not need any employ . So the next future would definitely look forward to the implementation of Artificial Intelligence in the creation of ChatBots.
4. Name some of the Powerful Agencies which Includes Artificial Intelligence ?
As per the total post you have read it carefully regarding WHAT IS ARTIFICIAL INTELLIGENCE (A.I ) , hope you have liked it.
Despite this potential Risks, there are some few Regulations regarding A.I tools, where law do exits now also, the typically pertain to A.I is indirectly.
Europe’s GDPR puts the strict limits on how enterprises can use the consumer data, which impedes the training, and functionality of many consumers facing A.I – applications.