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What is artificial intelligence with examples

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. So, Today in this blog we will discuss about the What is artificial intelligence with examples and How does it works and many more things.

What is artificial intelligence with examples

What is Artificial Intelligence with examples in Simple words

When machines display intelligence, such as thought and learning, it is called artificial intelligence. Machines acquire artificial intelligence by analyzing the data that they receive from various sources. They can learn based on past experiences, like humans. 

As you read further you will understand what is Artificial intelligence, all will explained in simple words.

What are the 4 types of artificial intelligence?

Arend Hintze, an assistant professor of integrative biology and computer science and engineering at Michigan State University, explained in a 2016 article that AI can be categorized into four types, beginning with the task-specific intelligent systems in wide use today and progressing to sentient systems, which do not yet exist. The categories are as follows:

  • Type 1: Reactive machines. These AI systems have no memory and are task specific.
  • Type 2: Limited memory. These AI systems have memory, so they can use past experiences to inform future decisions.
  • Type 3: Theory of mind. Theory of mind is a psychology term. When applied to AI, it means that the system would have the social intelligence to understand emotions.
  • Type 4: Self-awareness. AI systems have a sense of self, which gives them consciousness. Machines with self-awareness understand their own current state. This type of AI does not yet exist.

Examples of Artificial Intelligence

Below are some examples of Artificial Intelligence which we use frequently in our lives:

  1. Virtual assistants: Such as Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana use AI to understand human speech and provide the requested service like checking your schedule, setting up reminders or searching the internet, in addition to other tasks.
  2. Banks: Banks use AI to warn customers of possible fraudulent transactions. Fraud-detection programs use AI to learn what kind of transactions might be fraudulent.
  3. Shopping websites: Website like Amazon provide suggestions about what items you might want to buy based on your previous purchases and other similar purchases by other customers. Artificial Intelligence is used to predict a customer’s purchase requirement based on their shopping behavior.
  4. Gmail: They use AI for improving the categorization of emails such as primary, social and promotions.   AI is also used for spam detection.
  5. Automated cars: Cars use AI to detect their surroundings and drive without the active participation of the driver. Tesla is the leading company for self-driven car technology.

How does AI work?

As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No one programming language is synonymous with AI, but a few, including Python, R and Java, are popular.

AI programming focuses on three cognitive skills: learning, reasoning and self-correction.

Learning processes. This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.

Reasoning processes. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.

Self-correction processes. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.

Why is artificial intelligence important?

AI is important because it can give enterprises insights into their operations that they may not have been aware of previously and because, in some cases, AI can perform tasks better than humans.

Prior to the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but today Uber has become one of the largest companies in the world by doing just that. As another example, Google has become one of the largest players for a range of online services by using machine learning to understand how people use their services and then improving them.

Today’s largest and most successful enterprises have used AI to improve their operations and gain advantage on their competitors.

What are the advantages and disadvantages of artificial intelligence?

Artificial neural networks and deep learning artificial intelligence technologies are quickly evolving, primarily because AI processes large amounts of data much faster and makes predictions more accurately than humanly possible.

Advantages

  1. Good at detail-oriented jobs
  2. Reduced time for data-heavy tasks
  3. Delivers consistent results
  4. AI-powered virtual agents are always available

Disadvantages

  1. Expensive
  2. Requires deep technical expertise
  3. Limited supply of qualified workers to build AI tools
  4. Only knows what it’s been shown
  5. Lack of ability to generalize from one task to another

The areas in which artificial intelligence is developed in machines are:

Learning:

  • Learning is done based on the data received by the machine. The machine can remember the solution in a particular situation and apply it when the situation arises again.

Reasoning

  • Machines can be programmed to draw inferences for reasoning. Deduction and induction techniques are used to implement reasoning in AI.

Problem-solving

  • Machines can search through possible courses of action to solve a problem. Learning can be used to determine the best course of action.

Perception

  • Perception is the ability of the machine to understand the scene in front of it. It can determine what are the different objects in its surroundings and where they are located.

Language analysis

  • Machines can understand spoken or written human language and interact with humans in their language.

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