Introduction to Artificial Intelligence

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Artificial intelligence

Artificial intelligence (AI) is a vast area of computing that deals with creating intelligent machines proficient of performing tasks that would normally require human intelligence, expert systems, natural language processing, speech recognition and computer vision. Artificial Intelligence (AI) is a truly revolutionary feat in computing, a component that will become the central component of all modern software for years and decades to come. This is not only a threat, but an opportunity. AI will be deployed to enhance cyber defenses and attacks. In addition, new cyberattacks will be invented to take advantage of certain weaknesses in artificial intelligence technology. Eventually the importance of the data will become apparent amplified by the AI’s drive for large numbers. training data, a new definition of how we should think about data protection. Global email will be essential to ensure that this age-defying technology brings prosperity and security to all.

How Does AI Work?

Less than a decade after hacking into the Nazi Enigma machine and helping the Allies win World War II, the mathematician Alan Turing changed history a second time by asking a simple question: “Can machines think?

Turing’s article “Machine and Intelligence” (1950) and its subsequent Turing test established the main goal and vision of artificial intelligence. At its core, AI is a branch of computer science that answers Turing’s question “yes”. This is an attempt to recreate or imitate the human mind in machines.

Sellers have struggled to market how their products and services use AI. Usually what they call AI is just one component of AI, very similar to machine learning. AI requires a specialized hardware and software platform to write and train machine learning algorithms. No programming language is synonymous with AI, but several, including Python, R, and Java, are popular.

Typically, AI systems work by consuming large amounts of labeled training data, analyzing the data for correlations and patterns, and using those patterns to make predictions about future conditions.

AI programming focus mainly on three cognitive skills: learning, argument and self-adjusting.

LEARNING PROCESS : This aspect of AI programming focuses on collecting data and creating rules to transform data into useful information. Algorithms, use in this, give computing devices step-by-step instructions on how to complete a specific task.

ARGUMENT PROCESSES : This aspect of AI programming focuses on choosing the right algorithm to achieve the desired outcome.

SELF-ADJUSTING PROCESS : This aspect of AI programming is designed to continuously tune algorithms and get the most accurate results possible. How is  AI used?

How is AI Used? 

Speaking to the crowd at the 2017 Japan AI Experience, DataRobot CEO Jeremy Achin began his talk by defining how AI is being used today: 

“AI is a computer system capable of performing tasks that would normally require human intelligence. …  Many of these artificial intelligence systems are based on machine learning, some of them are supported by deep learning, and some of them are supported by very boring things like rules.”

Artificial intelligence generally falls into two main groups :

Narrow AI : Sometimes referred to as “weak AI,” it works in a limited context and is a simulation of human intelligence. Narrow artificial intelligence is often aimed at doing a task exceptionally well, and while these machines may seem intelligent, they operate under far more constraints and limitations than intelligence, the simplest of humans.

General Artificial Intelligence (AGI) : AGI, sometimes referred to as “strong AI”, is a type of artificial intelligence that we see in movies, such as robots from the Westworld or Data from Star Trek: The Next Generation. AGI is a general intelligence machine that, like humans, can apply that intelligence to solve any problem.

Importance and necessity of Artificial Intelligence

AI is crucial due to the fact it may provide businesses insights into their operations that they will now no longer were privy to formerly and due to the fact, in a few cases, AI can carry out duties higher than humans. Particularly on the subject of repetitive, detail-orientated duties like reading huge numbers of felony files to make sure applicable fields are stuffed in properly, AI equipment regularly whole jobs speedy and with noticeably few errors. 

This has helped gasoline an explosion in performance and opened the door to totally new enterprise possibilities for a few large businesses. Prior to the present day wave of AI, it’d were tough to assume the use of laptop software program to attach riders to taxis, however these days Uber has come to be one in every of the most important agencies withinside the international with the aid of using doing simply that. It makes use of state-of-the-art device studying algorithms to are expecting while humans are probable to want rides in positive areas, which facilitates proactively get drivers on the street earlier than they are needed. As every other example, Google has come to be one in every of the most important gamers for quite a number on line offerings with the aid of using the use of device studying to apprehend how humans use their offerings after which enhancing them. In 2017, CEO Sundar Pichai announced that Google could act as a company primarily focused on artificial intelligence.

Today’s largest and most successful companies are already using artificial intelligence to improve their operations and gain an edge over their competitors.

What are the Pros and Cons of artificial intelligence?

Deep learning neural networks and artificial intelligence technologies are evolving rapidly, mainly because AI processes large amounts of data much faster and makes predictions with greater accuracy than is possible for humans. Artificial intelligence applications using machine learning can take advantage of this data and quickly turn it into actionable information. Therefore, the main disadvantage of using artificial intelligence is the high processing cost.


• Handles detail-oriented tasks well. 

• Reduces the time spent on tasks with large amounts of data. 

• Provides consistent results: and 

• AI-powered virtual assistants are always available.


• Expensive; 

• Requires deep technical experience; 

• A limited number of skilled workers to create artificial intelligence tools; 

• You only know what was displayed; and 

• Lack of ability to generalize from task to task.

Use of artificial intelligence in our surroundings

AI in Agriculture and Farming

AI-powered plant health and climate monitoring systems can help farmers improve crop yields.

Autonomous Vehicles and Aircraft

Unmanned aerial vehicles (UAVs) or drones are a vital part of our airspace, monitoring and serving as delivery services in an increasing number of schemes, including providing essential medicines and supplies to senior citizens stuck in their homes due to COVID19. 

Online Shopping (eCommerce) 

Machine learning (a branch of artificial intelligence) improves the online shopping experience for consumers by providing more personalized recommendations and a more streamlined shopping experience allowing them to better adapt to the preferences and behavior of their customers.

AI Helps in Security and Surveillance

Drone surveillance, face recognition and AI-powered biometrics are improving the security profile of the organizations and governments that use them. While this has its advantages, there are certainly concerns about privacy, espionage, and the Big Brother factor. …

Industrial Manufacturing and Production

In the industrial sector, AI systems help manufacturers maintain quality control standards and keep their operations running smoothly by proactively monitoring and analyzing data for predictive maintenance. Artificial intelligence technologies are also driving robotic automation (RPA), which shortens production cycles and increases their volume efficiency.

Medical and health imaging analysis

In the life and health sciences, AI plays an increasingly important role in the operation of machines that diagnose, analyze and predict the course of diseases, as well as monitor the health of the patient, medical workers and automate many administrative and routine functions of medical institutions.

Face recognition. 

Apps like LucidPix, Snapchat and Facebook are already using AI technology in their facial recognition. LucidPix uses facial recognition to identify the user’s face thanks to the “3D Face” feature that allows users to capture and transform their selfies into 3D photos. Similarly, Snapchat uses A. to recognize the user’s face and apply face filters to the user’s photos. Facebook uses facial recognition to identify faces in photos and invite users to tag themselves or their Facebook friends. 

Household Items

The last nine examples of artificial intelligence are some kind of service or software, which does not mean AI and not in the form of a physical machine. And you can have them in your own home! The IRobot Roomba uses A. to scan the size of the room it is in, identify obstacles, and determine the most efficient route to move through the space. 

Navigation Apps

Navigation apps like Google Maps use A. to analyze vehicle speed. It also takes into account incidents reported by users, such as traffic accidents or road construction, to predict how long it will take you to reach your destination, and uses this information to make recommendations for the fastest route.

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