What is Artificial intelligence (AI)?

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:

• Speech recognition
• Learning
• Planning
• Problem-solving

With the development of the electronic computer in 1941 and the stored program computer in 1949, the conditions for research in artificial intelligence (AI) were given. Still, the observation of a link between human intelligence and machines was not widely observed until the late 1950s.

A discovery that influenced much of the early development of AI was made by Norbert Wiener. He was one of the first to theorize that all intelligent behavior was the result of feedback mechanisms. Mechanisms that could possibly be simulated by machines. A further step towards the development of modern AI was the creation of The Logic Theorist. Designed by Newell and Simon in 1955 it may be considered the first AI program.

The person who finally coined the term artificial intelligence and is regarded as the father of AI is John McCarthy. In 1956 he organized a conference "The Dartmouth summer research project on artificial intelligence" to draw the talent and expertise of others interested in machine intelligence for a month of brainstorming. In the following years, AI research centers began forming at the Carnegie Mellon University, as well as the Massachusetts Institute of Technology (MIT) and new challenges, were faced: 1) the creation of systems that could efficiently solve problems by limiting the search and 2) the construction of systems that could learn by themselves.


Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry.

Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:

1. Knowledge
2. Reasoning
3. Problem-solving
4. Perception
5. Learning
6. Planning
7. Ability to manipulate and move objects

Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties, and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.

Machine learning is also a core part of AI. Learning without any kind of supervision requires the ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.

Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual inputs with a few sub-problems such as facial, object and gesture recognition.

Robotics is also a major field related to AI. Robots require intelligence to handle tasks such as object manipulation and navigation, along with sub-problems of localization, motion planning, and mapping.

What is the Importance of Artificial Intelligence?

Artificial Intelligence becomes an important part of our daily life. Our life is changed by AI because this technology is used in a wide area of day to day services.

The introduction of AI brings the idea of the error-free world. This technology will slowly introduce in all the sector to reduce human effort and give accurate and faster result.

AI Used in Bank and Financial System
Banks are using AI technology to handle numerous activities in the bank. They handle work like financial operations, Money investing in stocks, Managing different properties and much more. Using AI to handle this activity beat a human in trading challenges. Using AI in the bank helps the bank to handle their customer and give them a quick solution.

Use of AI in Medical Science

AI technology changes the face of medical science. There is a number of areas in which AI is used and give incredible value. In medical science, AI is used to create a virtual personal health-care assistant. They are used for research and analytics. Even Healthcare bots are also introduced to give customer support.


Manufacturing Industries

Today in most of the big manufacturing company AI are mostly used in the production unit. They are used as a robot who give a different shape to an object, who displace an object from one place to another, they are used as a convey belt and much more.

If they are used in the management system also. They are used to keep the records of the employee. They are used to extract correct data for decision making of the company. Using AI in the big industry help them to complete their task in time and helps business to get proper leads generation.

Role of AI in Air Transport

One of the most systematic transport is air transport. And without AI air transport can’t survive. A machine which is used in the plans for performing different functions is run on the basis of AI. All most all the activity which performed to control air transportation is based on AI technologies. There are different software designed on the AI platform to give better flight to passengers and feel free from the danger.

AI role in Gaming Zone

Computer and TV games got more development and updates in their fields. There was a time when “Super Mario” was considered as the best game. But nowadays there are different gaming bots are introduced and you don’t have to wait for other to play with yours. Bot are developed who will play with you.

What Contributes to AI?


Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem-solving.

Out of the following areas, one or multiple areas can contribute to building an intelligent system.


What is AI Technique?

In the real world, the knowledge has some unwelcomed properties −

• Its volume is huge, next to unimaginable.
• It is not well-organized or well-formatted.
• It keeps changing constantly.

AI Technique is a manner to organize and use knowledge efficiently in such a way that −

• It should be perceivable by the people who provide it.
• It should be easily modifiable to correct errors.
• It should be useful in many situations though it is incomplete or inaccurate.

AI techniques elevate the speed of execution of the complex program it is equipped with.

Goals of AI

To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.

To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.


Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.

With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.

The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)

– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)

– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)

– Artificial intelligence will replace 16% of American jobs by the end of the decade (Forrester)

– 15% of Apple phone owners’ users use Siri’s voice recognition capabilities. (BGR)

Unlike general perception, artificial intelligence is not limited to just IT or technology industry; instead, it is being extensively used in other areas such as medical, business, education, law, and manufacturing.

In the following, we are listing down 9 very intelligent AI solutions that we are using today, marketing machine learning as a present thing – not the future.

1. Siri

Siri is one of the most popular personal assistant offered by Apple in iPhone and iPad. The friendly female voice-activated assistant interacts with the user on a daily routine. She assists us to find information, get directions, send messages, make voice calls, open applications and add events to the calendar.

Siri uses machine-learning technology in order to get smarter and capable-to-understand natural language questions and requests. It is surely one of the most iconic examples of machine learning abilities of gadgets.

Alexa vs. Google Assistant vs. Siri: Google Widens Its Lead

As if managing our interpersonal relationships weren't already challenging enough in this digital day and age, now we have to worry about talking to artificial people as well. The rise of virtual assistants has been surprisingly swift, and the market hasn't slowed down yet.


2. Tesla

Not only smartphones but automobiles are also shifting towards Artificial Intelligence. Tesla is something you are missing if you are a car geek. This is one of the best automobiles available until now. The car has not only been able to achieve many accolades but also features like self-driving, predictive capabilities, and absolute technological innovation.

If you are a technology geek and dreamt of owning a car like shown in Hollywood movies, Tesla is one you need in your garage. The car is getting smarter day by day through over the air updates.

3. Cogito

Cogito originally co-founded by Dr. Sandy and Joshua is one of the best examples of the behavioral version to improve the intelligence of customer support representatives, currently on the market. The company is a synthesis of machine learning and behavioral science to enhance customer collaboration for phone professionals.

Cogito is applicable to millions of voice calls that take place on a daily basis. The AI solution analyzes the human voice and provides real-time guidance to enhance behavior.


4. Netflix

Netflix needs no introduction – it is a widely popular content-on-demand service that uses predictive technology to offer recommendations on the basis of consumers’ reaction, interests, choices, and behavior. The technology examines from a number of records to recommend movies based on your previous liking and reactions.

It is turning more intelligent with each passing year. The only the drawback of this technology is that small movie go unnoticed while big films grow and propagate on the platform. But as I wrote earlier, it is still improving and learning to be more intelligent.


5. Pandora

Pandora is one of the most popular and highly demanded tech solutions that exist. It is also called the DNA of music. Depending on 400 musical characteristics, the team of expert musicians individually analyzes the song. The system is also good at recommending the track record for recommending songs that would never get noticed, despite people’s liking.


6. Nest (Google)

The nest was one of the most famous and successful artificial intelligence startups and it was acquired by Google in 2014 for $3.2 billion. The Nest Learning Thermostat uses behavioral algorithms to save energy based on your behavior and schedule.

It employs a very intelligent machine learning process that learns the temperature you like and programs itself in about a week. Moreover, it will automatically turn off to save energy, if nobody is at home.

In fact, it is a combination of both – artificial intelligence as well as Bluetooth low-energy because some components of this solution will


use BLE services and solutions.

7. Boxever

Boxever is a company that heavily relies on machine learning to enhance the customer experience in the travel industry and conveys micro-moments or experiences that can please the customers.

Boxover significantly improves customer engagement through machine learning and Artificial Intelligence to rule the playing field, helping customers to find new ways and make memorable journeys.


8. Flying Drones

The flying drones are already shipping products to customers home – though on a test mode. They indicate a powerful machine learning system that can translate the environment into a 3D model through sensors and video cameras.

The sensors and cameras are able to notice the position of the drones in the room by attaching them to the ceiling. Trajectory generation algorithm guides the drone on how and where to move. Using a Wi-Fi system, we can control the drones and use them for specific purposes – product delivery, video-making, or news reporting.

9. Echo

Echo was launched by Amazon, which is getting smarter and adding new features. It is a revolutionary product that can help you to search the web for information, schedule appointments, shop, control lights, switches, thermostats, answers questions, reads audiobooks, reports traffic and weather, gives info on local businesses, provides sports scores and schedules, and more using the Alexa Voice Service.




Conclusion:

Artificial intelligence (AI) technology becomes the part of everyone’s life. From small to big work everyone is using AI to generate leads and remove the work pressure. These technologies are so advanced that you don’t have to write code for every activity. They understand the motion of work automatically.