What is Artificial Intelligence in simple words?

• Definition of AI
• Types of artificial intelligence
• Difference between Artificial Intelligence, Machine learning, and Deep learning
• History of Artificial Intelligence 
•  Is Artificial Intelligence use in Hindu Mythology

Definition of AI in simple word

AI is a scientific machine that mimics the behavior of humans. AI is a technique of getting machines to figure and behave like humans.

A few examples of  using Artificial Intelligence

• Chatbots solve customer problems faster and provide accurate answers.
• Intelligent assistants analyze critical information from Bigdata sets to improve scheduling.
• Search engines can provide automated recommendations for TV shows, websites, Youtube videos based on user's viewing habits.

When we think of a superpowered epic and analysis the data about any particular format, it is AI. Although AI is a high-functioning image, and robots like humans, it can not replace humans. It helps to significantly enhance the power, capability, and contribution of humans. Now, AI is a valuable asset.

"A failure is an option here. If things are not failing, you are not innovating enough."

Elon Musk.

Artificial Intelligence introduction

Whether AI may be a threat or not is debatable. For now, let me introduce you to AI. The term AI stands for Artificial Intelligence. AI was first introduced by John McCarty at the Dartmouth conference in 1956. He defined AI as a technique of making intelligent machines in a way.

 AI has been ready to accomplish this by creating machines and robots. AI is used during a wide selection of fields like healthcare, robotics, marketing business analytics, and lots more. As you know, we do not perceive many AI applications as AI. We frequently tend to think of artificial intelligence as robots doing our daily course. But the reality is AI has found its way into our daily lives. If you think the accurate search result of Google and your interest based on content on Facebook, you will be surprised. Artificial intelligence makes it possible. 

AI can be structured along with three evolutionary stages

 Three different types of artificial intelligence with simple words are given below. 

• Artificial narrow intelligence
• Artificial general intelligence 
• Artificial superintelligence

Artificial narrow intelligence

Artificial narrow intelligence is called weak AI. AI has been applied only to single specific tasks extremely well. These operating systems focus on a narrowly defined specific problem as weak AI. Alexa may be an excellent example of narrow intelligence.  Another example of weak AI is face verification. you can simply see on your iPhone. The autopilot feature at Tesla, the social humanoid Sophia is made at Hanson robotics, and eventually, Google Maps. All of those applications are supported by weak AI or artificial narrow intelligence.

Artificial general intelligence

Now let's take a glance at artificial general intelligence. Artificial general intelligence is additionally referred to as strong AI. It involves machines that possess the power to perform any intellectual task. As human beings, are you able to see machines don't possess human-like abilities? We have a strong processing unit to perform high-level computations but AI is not yet capable of thinking and reasoning like a human. It is a doubt of many experts that artificial general intelligence will ever be possible or not.

Artificial super-intelligence

Artificial superintelligence (ASI) is a system of software. ASI is an intellectual power over humans across a comprehensive range of categories. Artificial superintelligence (ASI) is a system of software. ASI is an intellectual power over humans across a comprehensive range of categories. Humans can not compete with artificial superintelligence, because they are limited by slow biological evolution. This is often a term that refers to the time when the capabilities of computers will surpass the citizenry. Now it is seen Artificial superintelligence as a hypothetical situation. You always see in movies and science-fiction books, machines take over the planet.

Difference between Artificial Intelligence, Machine learning, and Deep learning

Know the difference between Artificial  Intelligence, ML, DL in simple words., Now before I'm going any longer, let me clear a common misconception. People often tend to think that AI, machine learning, and deep learning are equivalent. Since they need common applications for instance. Machine-learning is a subset of AI that focuses on getting machines to form decisions by feeding them data. On the opposite hand, deep learning is a subset of machine learning. It uses the concept of neural networks to solve complex problems. AI, machine learning, and deep learning are interconnected fields. Machine learning and deep learning needs AI by providing a group of algorithms and neural networks to solve data-driven problems. However, AI isn't restricted to only machine learning and deep learning. It covers many fields, including tongue processing, object detection, computer vision, and robotics expert systems.

History of Artificial Intelligence

In 1943, ­"A Logical Calculus of Ideas Immanent in Nervous Activity" ­ a neural organization model was distributed by Warren McCullough and Walter Pitts.

• In 1949, ­Donald Hebb published "The Organization of Behavior: A Neuropsychological Theory". The hypothesis depends on neural pathways and a significant model in AI.

• In 1950,­ "Processing Machinery and Intelligence" was published by Alan Turing. This is known as the Turing Test and deciding whether a machine is shrewd or not.

• In1950, ­Marvin Minsky and Dean Edmonds construct SNARC, the main neural organization PC from Harvard.

• In 1950,­ Claude Shannon distributes "Programming a Computer for Playing Chess."

• In1950, ­Isaac Asimov distributes the "Three Laws of Robotics."

• In1952 ­Arthur Samuel fosters a self­learning project to play checkers.

• In1954, ­In an examination, the Georgetown IBM machine deciphers consequently interprets 60 chose Russian sentences into English.

• In 1956, ­The expression man­made reasoning is presented by John McCarthy at the "Dartmouth Summer Research Project on Artificial Intelligence." We consider being the

introduction of man­made brainpower

• In1956, ­Allen Newell and Herbert Simon exhibit the primary thinking program Logic Theorist (LT).

• In1958, John McCarthy distributes the paper "Projects with Common Sense." He likewise fosters the AI programming language Lisp. He proposed a total AI framework that can

gain for a fact as people do.

• In 1959, ­ Allen Newell, Herbert Simon, and J.C. Shaw foster the General Problem Solver (GPS) that plans to take care of human issues.

• In1959­ Herbert Gelernter fosters the Geometry Theorem Prover program.

• In1959, Arthur Samuel presents the term AI at IBM.

• In 1963, ­John McCarthy begins the AI Lab at Stanford.

• In1969­ DENDRAL, a XX program, and MYCIN are the principal fruitful master­created frameworks intended to analyze blood diseases at Stanford.

• In 1972, ­The rationale programming language PROLOG is made.

In1980, Digital Equipment Corporations develop R1 that is also known as XCON. XCON is the first commercial expert system.

• In1982, Japan's Ministry of International Trade and Industry - the ambitious Fifth Generation Computer Systems project. FGCS's objective is to develop supercomputer performance and a platform for AI development.

• In1983,  The Strategic Computing Initiative is released by Japan's FGCS and the U.S. government to advanced computing and AI.

• In1985, Symbolics and Lisp Machines build specialized computers to run on the AI programming language Lisp.

• In1987, the Lisp machine market collapsed, this is known as Second AI Winter.

•In1991, The U.S. forces deploy DART in the Gulf War. It is an automated logistics planning and scheduling tool.

• In1997, IBM's Deep Blue beats world chess champion, Gary Kasparov.

• In 2005, a self-driving car STANLEY wins the DARPA Grand Challenge.

• In 2005, autonomous robots like Boston Dynamic's "Big Dog", iRobot's, and "PackBot." were introduced in the U.S. military.

• In 2008, Google introduces speech recognition and the feature in the iPhone app.

• In 2011, Apple introduced an AI-powered virtual assistant which is called Siri through the iOS operating system.

• In 2012, Andrew Ng launches the Google Brain Deep Learning project, which introduces a neural network using deep learning.

• In 2014, Google makes the first self-driving car and pass a state driving test.

• In 2014, Amazon releases Alexa a virtual home.

• In 2016, Hansen Robotics creates the first humanoid robot named Sophia. It is the "robot citizen" which is capable of facial recognition, verbal communication, and facial expression.

• In 2018, Google releases the natural language processing engine BERT, which translates and understands by machine learning applications.

• In 2018, Waymo launches Waymo one service in the Phoenix metropolitan area and pick-up one of its self-driving vehicles.

• In 2020, The LinearFold AI algorithm of Baidu helps scientific and medical teams to develop a vaccine for the SARS-CoV-2 pandemic. The algorithm predicts the RNA sequence of the virus. It takes only 27 seconds which is 120 times faster than other methods.

Is Artificial Intelligence use in Hindu Mythology

Hindu mythology is ancient and the first civilization in the world. People believe all the incarnations of Lord Vishnu are true. In today's scenario of technology and imagination, we can reach nearer to the technology that is used in Hindu Mythology. Some examples of Lord Vishnu Incarnation are given below.

• Fish Incarnation (Matsyavatar)
• Turtle Incarnation (Kachhap/Kurma avatar)
• Boar Incarnation(Varahavatar)
• Man-lion Incarnation(Narasingavatar)
• Dwarf-god Incarnation (Vamanavatar)
• Parsuram Incarnation (Parsuramavatar)
• Rama Incarnation (Ramavatar)
• Krishna Incarnation (Krishnavatar)

Above all Incarnation of God, you will find the super-human activities are unbelievable. If you imagine with artificial Intelligence you get the concept of advanced technology is used to fulfill the objective of the incarnation successfully.  To know more about the Incarnation of God and analysis, see the article "Artificial Intelligence in Hindu mythology".