TOP 7 THINGS THAT ARTIFICIAL INTELLIGENCE CANNOT DO

TOP 7 THINGS THAT ARTIFICIAL INTELLIGENCE CANNOT DO

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.

7 THINGS THAT ARTIFICIAL INTELLIGENCE CANNOT DO

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
Robots.
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.

Inventions

 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?

ALSO READ : OUR SOCIETY IN 2050 – WHEN ARTIFICIAL INTELLIGENCE IS EVERYWHERE

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.

CONCLUSION :

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.

ALSO READ : 1. ARTIFICIAL INTELLIGENCE EXAMPLES

Video source – YouTube Video – Circuit Breaker

Difference Between Machine Learning And Artificial Intelligence

Difference Between Machine Learning And Artificial Intelligence

In this blog, we are going to see the Difference between  Machine Learning and Artificial Intelligence , that will change our way of thinking towards Machines.

The concept of machine learning algorithms came into existence in the late 18th century and early 19th century. It is a branch of computer science which is closely related to Data Mining and artificial intelligence. It is an incredibly powerful numerical tool which enables the machine to solve algorithms through experience. These algorithms are not programmed before for such things.

Machine learning enables the system to recognize patterns on the basis of existing algorithms and data and intern develops solutions. Its primary aim is to learn by itself without human interference. The machine learning system is made up of 3 major parts .

1.  Model creation.
2. parameter detection.
3. Learning algorithm.

Machine learning algorithm considers assumptions about the targeted function and starts the estimation with a hypothesis. As time passes the hypothesis may differ from time to time for the better output, some iterations of the hypothesis are made by itself with human intervention.

  In the university of oxford researches and data, scientists are combining statistics and computer science to build algorithms that can solve more complex problems with higher efficiency by using less computing power.

From medical diagnosis to social media, from self-driving cars (Tesla) to the announcement of the presidential result the machine learning is widely used. The potential of machine learning In transforming the world is fabulous now days.

Machine Learning Flow Chart

 Supervised machine algorithm, unsupervised machine-learning algorithm, semi-supervised machine learning algorithm, reinforcement machine learning algorithm are some of the machine learning algorithms.

Machine learning is one of the modern innovation which helped human beings to enhance their skills in the day to day activities. It has created history in mankind by the invention of self-driving cars (TESLA) where the machine itself drive the car without the command of the humans. Drones are used for the quick service for delivery of commodities.

Typical calculations and algorithms can be solved. It helps in doing multiple tasks quickly and accurately where humans take significant time and lack accuracy. For example, advanced computing in genetics to determine molecular properties. It also helps in analyzing a large amount of data and solve the algorithms.

 Machine learning also helps in reaching the remote places under the oceans to get knowledge and extract poly-metallic materials which adds prosperity to mankind. It is also used in space technology.

In the medical sector machine learning is used in the critical surgeries which are related to brain eyes etc.. It also helps in the analyze of patients data and also to find suitable solutions.

It helps during the time of natural disasters and man-made disasters where the scope to reach humans is very difficult. It also reaches the expectations of mass production of goods to reach the needs of the burgeoning population.

         It can also be used in the Defence sector where the machine replaces the humans. This can reduce the loss of human life.

     Virtual personal assistants  (Siri, Alexa, google now, amazon echo, Google home) is made possible with machine learning. Traffic prediction, an online transportation network is also made possible.

      Though it has a number of positive sides it does have a negative face like loss of employment, use of machine learning during the war can destroy mankind because of its advanced weapon technology. These high-end technologies can only be affordable by the rich in the society.

Artificial intelligence :

artificial intelligence

   The term Artificial Intelligence is coined in 1956 by JOH MC CARTHY at Dartmouth conference Massachusetts institute of technology. Because of the tremendous increase in the availability of data artificial intelligence has gained importance in recent years. It comprises of two words 1st artificial refers to something which is made by humans not natural and 2nd is intelligence refers to the ability to understand and think.

 Machine learning and artificial intelligence are closely related. The difference level between those 2 is very thin. These days they are used interchangeably. One of the popular application of artificial intelligence is machine learning in which machine performs via cognition i.e., by reason.

Artificial intelligence is used in all most all the sectors like health, education, space, communication, weather forecasting, fraud detection, business, finance, manufacturing, gaming, political, etc.

Lets us now see the Difference Between Machine Learning And Artificial Intelligence :

Artificial intelligenceMAchine Learning
A.I is human Intelligence demonstrated by machines to perform simple to complex tasks. It provides machines to ability to learn and understand without being explicitly programmed.
It is based on characteristic of human Intelligence.It is based on System of Probability.
It is used in Health care, Finance, aviation, marketing, media, etc.It is used for optical character recognition,web security, etc.

          How machine learning is different from artificial intelligence.

1.     Artificial intelligence is the ability to acquire and apply knowledge of my machine whereas machine learning is learning through experience.

2.     The main aim of machine learning is to increase efficiency and accuracy in a specific field but artificial intelligence focuses on various diversities.

3.     Artificial intelligence is a broad concept while machine learning is a narrow concept.

4.     In the artificial intelligence the machine does smart work like humans .in the machine learning machine takes data and learns from it.

5.     The goal of the artificial intelligence is to provide the machines with reason so that they can think like humans whereas in the machine learning it has to learn by itself from the given data without the human support to maximize the performance of machine on the given task.

6.     In machine learning system learns new things from the provided date but artificial intelligence is decision-making unit.

7.     Artificial intelligence will help in finding the best solutions but the machine learning cannot be sure on its solution.

8.     Artificial intelligence leads to wisdom and machine learning leads to knowledge.

F.A.Q.

1. Is Machine Learning And Artificial Intelligence Same ?
Answer : A.I stands for Artificial Intelligence , where Intelligence is defined as the ability to acquire knowledge and ability to apply it practically where as ML Stands for Machine Learning and it is defined as the acquisition of knowledge or skills through experience,study or by being taught.

2. What is the Goal of A.I ?
Answer : The main goal of Artificial Intelligence is to create the Expert System : The system which can exhibit intelligent behavior, learn , demonstrate, explain to your audience in easy way language. to implement human intelligence in Machines – Creating system that could understand , think, learn , and behave like humans.

3. Is Siri an A.I ?
Answer : Basically Siri is a spin – off from a project which is developed by the SIRI International Artificial Intelligence Center. By Nuance Communications, Its speech Recognition engine was provided. Siri uses its advanced level of machine learning techniques.
In I phone 4S Siri was integrated in I phone in year October 2011.
IN SHORT – YES SIRI is an A.I Definitely.

ALSO READ :-> FUTURE SOCIETY WHEN A.I IS EVERYWHERE

CONCLUSION :

This post is all about the difference between the artificial intelligence and machine learning where we humans can adapt the behavior of Robotics machines.    
Artificial Intelligence is considered as a great revolution in the cyber arena where it should be used for the good of mankind rather for the destruction.   

Artificial intelligence is the most broader arena of creating intelligent machines. machine learning is a subset of artificial learning. at the end of the day, both are very important for the efficient and accurate outcome in all the sectors.

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.

Robotics:

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.

Machine-Learning-2050

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.

F.A.Q

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 ?

CONCLUSION :

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.

WHAT IS ARTIFICIAL INTELLIGENCE
CREDIT : internet-class


SWAPNIL DUPHARE

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