Which is the common applications of artificial intelligence?|what is artificial intelligence

 I have already introduced the term artificial intelligence in my previous blog machine learning. machine-learning grew out of the quest for artificial intelligence. the basic root of invention is quest.

let's discuss about AI...

WHAT IS ARTIFICIAL INTELLIGENCE?

                                      Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

                                      The term is habitually applied to the undertaking of creating frameworks enriched with the scholarly cycles normal for people, for example, the capacity to reason, find importance, sum up, or gain from previous experience. Since the improvement of the computerized PC during the 1940s, it has been shown that PCs can be customized to do exceptionally complex assignments as, for instance, finding verifications for numerical hypotheses or playing chess-with incredible capability. All things considered, notwithstanding proceeding with progresses in PC handling pace and memory limit, there are at this point no projects that can match human adaptability over more extensive areas or in errands requiring a lot of regular information. Then again, a few projects have achieved the presentation levels of human specialists and experts in playing out specific explicit undertakings, with the goal that man-made brainpower in this restricted sense is found in applications as different as medical diagnosis, computer search engines, and voice or handwriting recognition.

How Does Artificial Intelligence Work?

Everything except the least difficult human conduct is credited to knowledge, while even the most convoluted bug conduct is never taken as a sign of insight. What is the distinction? Consider the conduct of the digger wasp, Sphex ichneumoneus. At the point when the female wasp gets back to her tunnel with food, she first stores it on the edge, checks for gatecrashers inside her tunnel, and really at that time, assuming everything looks good, conveys her food inside. The genuine idea of the wasp's instinctual conduct is uncovered assuming the food is moved a couple inches away from the entry to her tunnel while she is inside: on arising, she will rehash the entire methodology as frequently as the food is dislodged. Insight prominently missing on account of Sphex-should incorporate the capacity to adjust to new conditions.Analysts by and large don't describe human knowledge by only one characteristic yet by the mix of numerous different capacities. Research in AI has zeroed in essentially on the accompanying parts of knowledge: picking up, thinking, critical thinking, insight, and utilizing language.

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.

Applications of artificial intelligence

Artificial intelligence (AI) has been utilized in applications to tackle explicit issues all through industry and the scholarly world. AI, like electricity or computers, is a general-purpose technology that has a multitude of applications. It has enhanced language translation, image recognition It has enhanced language translation, image recognition, credit scoring, e-commerce and many other domains. 

Internet and e-commerce:

•  Search engines 
• Recommendation systems 
• Targeted advertising and increasing internet engagement 
• Virtual assistants 
• Spam filtering 
• Language translation 
• Facial recognition and image labeling 
• Games: Games have been an important test of AI's capabilities since the 1950s. In the 21st century, AIs have produced superhuman results in many games, including chess,go.AI has replaced hand-coded algorithms in most chess programs. Unlike go or chess, poker is an imperfect information game, so a program that plays poker has to reason under uncertainty. The general game players work using feedback from the game system, without knowing the rules. 
• Cybersecurity: Cybersecurity should face hacking assaults of many sorts that distress a wide range of associations. Security organizations have started to take on neural networks, Machine learning, and normal language processing(NLP) answers for work on their frameworks 
• Education 
• Trading and investment

Understanding the 4 Types of Artificial Intelligence (AI)

According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-aware.

• Reactive:The most basic type of artificial intelligence is reactive AI, which is programmed to provide a predictable output based on the input it receives. Reactive machines always respond to identical situations in the exact same way every time, and they are not able to learn act.Reactive AI was an enormous step forward in the history of artificial intelligence development, but these types of AIs can’t function beyond the tasks they were initially designed for. That makes them inherently limited and ripe for improvement. Scientists developed the next type of AI from this foundation.     

Eg:  

-Deep Blue, the chess-playing IBM supercomputer that bested world champion Garry Kasparov

-Spam filters for our email that keep promotions and phishing attempts out of our inboxes

-  The Netflix recommendation engine 

• Limited Memory:Limited memory AI learns from the past and builds experiential knowledge by observing actions or data. This type of AI uses historical, observational data in combination with pre-programmed information to make predictions and perform complex classification tasks. It is the most widely-used kind of AI today.For example, autonomous vehicles use limited memory AI to observe other cars’ speed and direction, helping them “read the road” and adjust as needed. This process for understanding and interpreting incoming data makes them safer on the roads.However, limited memory AI – as its name suggests – is still limited. The information that autonomous vehicles work with is fleeting, and it is not saved in the car’s long-term memory. 
• Theory:Want to hold a meaningful conversation with an emotionally intelligent robot that looks and sounds like a real human being? That’s on the horizon with theory of mind AI.With this type of AI, machines will acquire true decision-making capabilities that are similar to humans. Machines with theory of mind AI will be able to understand and remember emotions, then adjust behavior based on those emotions as they interact with people.There are still a number of hurdles to achieving theory of mind AI, because the process of shifting behavior based on rapidly shifting emotions is so fluid in human communication. It is difficult to mimic as we try to create more and more emotionally intelligent machines.That said, we are making progress. The Kismet robot head, developed by Professor Cynthia Breazeal, could recognize emotional signals on human faces and replicate those emotions on its own face. Humanoid robot Sophia, developed by Hanson Robotics in Hong Kong, can recognize faces and respond to interactions with her own facial expressions. 
• Self-aware:The most advanced type of artificial intelligence is self-aware AI. When machines can be aware of their own emotions, as well as the emotions of others around them, they will have a level of consciousness and intelligence similar to human beings. This type of AI will have desires, needs, and emotions as well.Machines with this type of AI will be self-aware of their internal emotions and mental states. They will be able to make inferences (such as “I’m feeling angry because someone cut me off in traffic”) that are not possible with other types of AI.We haven’t developed this type of sophisticated AI yet and don’t have the hardware or algorithms to support it.

How Artificial Intelligence Will Change The Future

Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.

                                   The extent of Artificial Intelligence in India is as yet in the reception stage yet leisurely it is being utilized to track down shrewd answers for present day issues in practically every one of the significant areas like Agriculture, Healthcare, Education and Infrastructure, Transport, Cyber Security, Banking, Manufacturing, business, Hospitality, Entertainment.

                                    The effort is to make computer intelligence programs that can solve real time problems and to achieve goals of the organisations and day to day life as well as humans. There is a scope in developing the machines games, speech recognition machine, language detection, computer vision, expert systems, robotics etc. The more you learn about machine learning sciences, e.g. physics or biology, the better. For the biological approaches to Artificial Intelligence , study about psychology and the nervous system. Learn some Machine languages. It is a good idea to study one basic machine language. Jobs are usually to depend on understanding the programming languages. Career options in AI where student can get jobs at public and private sectors which are in Intelligence, European Coordinating Committee for Artificial Intelligence and many more. Job will be offered like: Game Programmer, Robotic, Scientist, Computer Scientist and data scientist.

Artificial Intelligence is one of the popular course in the world. It is good to learn one basic machine language to get job this sector. In the late 1990s, these included programming language. There are lots of Career Opportunities where One can get jobs at public and private sectors in Artificial Intelligence, European Coordinating Committee for Artificial Intelligence and many more.

Limitations of Artificial intelligence 

• High cost of execution: Implementation of AI bases machines,computer,etc. are huge cost
• CAN’T REPLACE HUMANS:even then it is practically impossible to replace humans with AIs, at least in the near future, because you can’t build human intelligence in a machine as it is a gift of nature. So, no matter how smart a machine can become, it can never replace a human.
• DOESN’T IMPROVE WITH EXPERIENCE: A machine can't improve it's efficency with it's work experience.If the machine works it's efficency gradually decreases. 
• LACKS CREATIVITY:AI are not a creative piece of work;it is clear that AI are not for imagination or creativity.but, it can help in designing and creating something special.
• RISK OF UNEMPLOYMENT:The question that rise is will AI's replace humans? Honestly,I am not sure whether AI will lead to unemployment or not.beacause, AI is faslty growing and replacing many sectors.