Man-made brainpower is a machine with the capacity to take care of issues that are generally done by people with our common insight. Man-made reasoning can characterize a part of software engineering which is related to causing machines, to carry on like people by giving a legitimate reason. It was first authored in 1956 by JOH MC CARTHY at DARTMOUTH gathering, Massachusetts Institute of innovation.

Nowadays it has turned into a trendy expression in the digital field. It picked up energy as of late and made life simpler. It is a reproduction of the human insight process by machines. It is utilized in practically every one of the segments like instruction, well being, legitimate and so on.


There’s been a lot of hype about Artificial Intelligence, chat-bots, Robots, and like other things, I will cover all this topic in depth now. If you want, in-depth knowledge about it, so you can check my Artificial Intelligence post.

Robot cant look into your eyes

As we already know, machine will not destroy human man kind, as long as we remember machines learning are in-service to man kind.
Last Night I was watching a movie, in that movie the Astronaut was to land perfectly, but there was some problem and he ask Robot to say the situation over there, the hero was reliable on Robot and the Robot answer something and exactly the Hero has done that, but unfortunately, the landing was not gone perfectly and the hero was died due to inappropriate judgmental decision taken from the advice of
So just be careful of what we are doing and on whom to believe definitely. That’s the biggest lesson we want to learn it.

Solve Annoying Interview Puzzles

You wont want your A.I to solve everything. There was a Russian mathematician named “Yuri Matiyasevich” uses turing theory to show that, computers cant even do a single and simple interview puzzles solve by their own .
for eg. Ram has some Apples and he had given half to sham and after that the 3rd one to Sameer, then how many Apples does Ram has now ?
such type of simple questions also, cant be done using Robots

Write Software

The software , we use daily , done a very greatefull job even if it has some bugs in it, but still, it is very useful software. We know that computer cant find all the bugs which are found in the software, the main question is why they cant write a useful software for us ?

Fred Brooks explained that, in the Mythical Man Month that writing software involves understanding the essential complexity, of the real world and turning them into a Real world.

A.I does not have human facility of understanding . Artificial Intelligence cant write complex software because they don’t understand.

Make Moral Choices

Normal people make Normal choices of their own color and even they can think after thinking the future happening, so to avoid the next result and can make a perfect choice for better understanding. But the Robots cant think by their own choice.


 Mechanical procedure mechanization, Natural language processing(NLP), Pattern Recognition, Machine vision, Machine learning, Robotics, and so on .. are a few models where man-made brainpower is drilled.

Writing Funny Jokes

For writing any kind of Jokes, you will need a Great Humor which will blow anyone’s mind and cant control herself/himself, Laughing after reading some Jokes.

Writing Good Novels

The upcoming and rise of companies like Narrative Science and the use of Algorithm for sport reporting shows that writing is not out of reach for today’s computer.
We cant even image that, robots could be thinking of their own and put points of their own mind to express their own feelings yet. So Writing a very Good Novels, cannot be done by Artificial Intelligence nowadays.

Robots – the things that artificial intelligence cannot do

Despite the fact that it had 60 years of history it neglects to carry out certain responsibilities. Alan Turing was the principal man to find that man-made reasoning had constraints. It can not respond to each address, coming up next are the few employments where computerized reasoning can not perform.

Man-made reasoning can not exercise through and with full freedom. They should pursue the principles which they are customized in it.
The planned program in the machine that won’t enable it to exercise unrestrained choice, by experience and time, these machines learn without anyone else, then again, the activities of people are flighty, they are not prearrange.

PCs can not settle for non-PC based legitimate scientific riddles. Forming music is likewise a sort of non-PC based riddle, be that as it may, people can make various sorts out of music, love confounds speculations whenever gave them some time.

Roger Penrose and JR Lucas announced that Artificial insight can just pursue the guidelines and perform activities as indicated by customized rules. Though people thoroughly consider the book to find and develop numerous things and man-made brainpower is one among them.

Machines with man-made brainpower can not address the inquiries which are posed in the interviews. Tt was demonstrated by a Russian mathematician named yuri matiysevich  utilized Turing’s hypothesis to demonstrate this.

 Another zone that is hard for Artificial Intelligences is, discovering bugs in programming. Try not to misunderstand me, man-made consciousness might be a major assistance in searching.
For example, if we recommend, there is a bug, however a little-known hypothesis by Gordon Rice stretches out Turing’s unique verification to indicate PC projects, that can’t realize anything intriguing about another PC program.

So an AI can’t know whether a PC program is without bug, regardless of whether it will blue screen or whether it will give you an out of memory blunder. Without a doubt, one PC program can’t reveal to you anything non-trifling about another and since AIs are, at their heart, just PC programs they can’t enable you to compose any bug software.

The programming we use in our every day lives, containing bugs, however is as yet valuable.  We realize PCs can’t discover all bugs, however for what reason wouldn’t they be able to compose valuable programming for us?


Fred Brooks clarified in The Mythical Man Month that composition programming includes understanding the fundamental multifaceted nature of this present reality and transforming that into guidelines.
John Searle’s Chinese Room contention says “AI does not have the human workforce of comprehension. Man-made brains can’t compose complex programming since they don’t ‘get it'”.

Malcolm Gladwell brings up in his book Blink that individuals settle on prompt good decisions and afterward break down them sometime later to fit the guidelines. The decisions give off an impression of being enthusiastic, not expository.

Computerized reasoning just uses rules. A hypothesis by Kurt Gödel says that whenever you have a framework with formal principles there will be issues those guidelines can’t reply – the framework will be deficient.
So in spite of the fact that PCs can comply with the law – and we would do well to pick up the pace and program them all with Isaac Asimov’s three laws of apply autonomy – they can’t manage new circumstances.

 Regardless of having an entire 5 years to prepare computerized reasoning named “Today Robot”, a group of Japanese analysts were not able to build up an AI calculation equipped for accomplishing scores on Japan’s brought together affirmation test for national colleges which would qualify it for section into Japan’s top college.

when we ask Siri, Alexa, google now, amazon reverberation. Google home and so on, which is out of its program that can’t reply.

 sustenance given by guardians to youngsters can not be supplanted by machines with fake intelligence. Machines with computerized reasoning can not give innovative plans. Machines can not supplant people.
They can’t make ponders alone.  People alongside the assistance of innovation can make ponders in the upcoming futures.


From the overall post, we conclude that, there are still some things for Artificial Intelligence where they cant use their mega mind to solve those issues on their own or cant create any new things by their own. The Robots all time need, the help of Human Nature to build or some kind of Instructions to solve those issues in a smother way.


Video source – YouTube Video – Circuit Breaker

What is Artificial Intelligence (A.I)

Artificial Intelligence 2050

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.

Machine Learning:

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.

ChatBots :

chat bots

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.

CREDIT : internet-class



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