Why We need J.A.R.V.I.S In future (Artificial Intelligence) ?

Ever since the the dawn of modern computing technology, scientists and innovators have been trying to develop a computer that can think like a human. With the goal of making human thought and decision making a mechanical process, algorithms and networks have grown to form the basis of what is now known as artificial intelligence (AI).

Once laughed away as merely the plot of a science fiction movie, AI is now a very real, usable tool. A plethora of new startup companies are being founded on the basis of brining AI technology to the masses, and bigger corporations are joining the conversation too.

Humankind has given itself the scientific name homo sapiens--man the wise--because our mental capacities are so important to our everyday lives and our sense of self. The field of artificial intelligence, or AI, attempts to understand intelligent entities. Thus, one reason to study it is to learn more about ourselves. But unlike philosophy and psychology, which are also concerned with intelligence, AI strives tobuild intelligent entities as well as understand them. Another reason to study AI is that these constructed intelligent entities are interesting and useful in their own right. AI has produced many significant and impressive products even at this early stage in its development. Although no one can predict the future in detail, it is clear that computers with human-level intelligence (or better) would have a huge impact on our everyday lives and on the future course of civilization.

AI is one of the newest disciplines. It was formally initiated in 1956, when the name was coined, although at that point work had been under way for about five years. Along with modern genetics, it is regularly cited as the ``field I would most like to be in'' by scientists in other disciplines. A student in physics might reasonably feel that all the good ideas have already been taken by Galileo, Newton, Einstein, and the rest, and that it takes many years of study before one can contribute new ideas. AI, on the other hand, still has openings for a full-time Einstein.

 AI has turned out to be more difficult than many at first imagined, and modern ideas are much richer, more subtle, and more interesting as a result.

AI currently encompasses a huge variety of subfields, from general-purpose areas such as perception and logical reasoning, to specific tasks such as playing chess, proving mathematical theorems, writing poetry{poetry}, and diagnosing diseases. Often, scientists in other fields move gradually into artificial intelligence, where they find the tools and vocabulary to systematize and automate the intellectual tasks on which they have been working all their lives. Similarly, workers in AI can choose to apply their methods to any area of human intellectual endeavor. In this sense, it is truly a universal field.

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While the AI market is growing rapidly, the technology still has its challenges, like being constantly misunderstood.

Here are ten things you need to know about AI.

1. AI can trace its roots pretty far back
For many of us, the idea of AI conjures images of a robot or other anthropomorphic machines that can think and reason as well as a human can. The idea of a machine-man is seen as early as some of the Greek Myths, such as the golden robots of Hephaestus. Additionally, stories of alchemy in the Middle Ages alluded to the placing of the human brain in inanimate objects. Also, some religions that worship physical statues believe the statues to be possessing of human thought and emotion.

2. Alan Turing was a huge influence on AI
In 1950, Alan Turing published his paper Computing Machinery and Intelligence, where he tried to figure out if a machine could win what he called "The Imitation Game," which is also the name of the recent film about Turing. The test had a computer try to distinguish between the gender of two players. The paper also first introduced the Turing Test. Computing Machinery and Intelligence is largely regarded as the seminal work on AI.

3. Formal AI research started in the 1950s
While AI research was happening prior, it didn't become a formal academic research discipline until the The Dartmouth Conference of 1956. Adoption of the name "artificial intelligence" was encouraged by organizer John McCarthy. McCarthy continued contributing to the work of AI in many universities until his death in 2011.

4. Natural language processing is key to AI
One of the major goals of AI is getting a computer to understand and subsequently communicate in natural languages, a field called natural language processing (NLP). The computer must take natural human languages, like English or Spanish, and glean insight that it can process.

5. Autonomous vehicles need AI
One of the biggest technological advancements in transportation over the last few years has been the creation of autonomous vehicles, or vehicles that can pilot themselves. New vehicles like Google's driverless cars, and some autonomous drones wouldn't be possible without some of the top AI technology we have today.

6. Investors are funding new AI companies
What's considered a "hot" market for startups typically ebbs and flows, but it's obvious that AI is definitely a hot market. According to CB Insights, the number of new startups being funded in the space is growing. Some companies, like Sentient Technologies, have raised more than $100 million in funding after a few years in operation.

7. Big tech companies are betting on AI
Small startup companies aren't solely responsible for the surge in AI. Major tech giants are investing in the space and acquiring AI companies as well. IBM's Watson is doing everything from working with hospitals to cooking meals. Google made news when it acquired AI startup DeepMind for $400 million, and Facebook recently purchased Wit.ai.

8. AI-powered robots can think together
The CoCoRo (Collective Cognitive Robotics) Project in Europe has developed robots with artificial intelligence that can function in unison like a school of fish. The robots can search an area, scan the environment, and send information among one another.

9. Some robots can socialize
A robot called Kismet, from MIT's Artificial Intelligence Lab, can interact by recognising human body language and tone of voice and reposting according to that input. Kismet was developed Cynthia Breazeal in the 1990s.

10. AI is polarizing

Few technologies are as contentious as AI. On one hand, major companies and universities are pouring money into AI research and development. Conversely, scientist Stephen Hawking warned that AI could be the end of humankind. Additionally, Elon Musk and Bill Gates have both voiced negative opinions on AI. Whatever camp you fall into, there probably won't be a unified opinion on AI anytime soon.


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  1. Wanting to give real intelligence to a machine is like wanting to give it to a shark or snake or spider or anything else that can hurt us. At least animals would have a hard time taking over the world; But machines could do it stealthily for a decade or two and then strike when the time is right for them. If a machine truly understands what we have done to other life forms, why would it wait for us to do the same to it?

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  3. There is not even one project which has achieved AI and do we really want that to be implemented in a machine. Any human or animal which has some kind of intelligence is unpredictable, this is the root of the problem and the beauty of evolution. We are organised chaos and those machines can't be that

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