Artificial Inteligent

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 What Is Artificial Intelligence (AI)? How Does AI Work?

Artificial intelligence (AI) is a type of computer science that focuses on building machines that can do things that typically require human intelligence. AI can be used in many different ways, such as teaching computers to recognize speech and images, or helping robots learn how to perform tasks. Some popular examples of AI in our daily lives include self-driving cars and smart assistants like Siri and Alexa. Many companies are investing in AI because it has the potential to revolutionize many different industries. 

ARTIFICIAL INTELLIGENCE DEFINITION: BASICS OF AI

Understanding AI

Broadly speaking, artificially intelligent systems can perform tasks commonly associated with human cognitive functions — such as interpreting speech, playing games and identifying patterns. They typically learn how to do so by processing massive amounts of data, looking for patterns to model in their own decision-making. In many cases, humans will supervise an AI’s learning process, reinforcing good decisions and discouraging bad ones. But some AI systems are designed to learn without supervision — for instance, by playing a video game over and over until they eventually figure out the rules and how to win. 

Strong AI Vs. Weak AI  

Defining intelligence can be difficult, so AI experts categorize AI into two types: strong AI and weak AI

Strong AI

Strong AI, also called artificial general intelligence, is an AI that can solve new problems without being trained specifically for them, just like humans can. You might have seen examples of this type of AI in movies, such as the robots in Westworld or Data from Star Trek: The Next Generation. However, we don't have this kind of AI in real life yet.

Many AI researchers aspire to create a machine that has human-level intelligence and can be used for any task, but achieving this goal has proven to be very challenging. Some people think that we should put limits on the research into this type of AI because of the potential risks involved in creating such a powerful machine without proper safety measures in place.

In contrast to weak AI, strong AI represents a machine with a full set of cognitive abilities — and an equally wide array of use cases — but time hasn't eased the difficulty of achieving such a feat

Weak AI

Weak AI, also called narrow AI or specialized AI, is designed to operate within a specific context and solves a narrowly defined problem, such as driving a car, transcribing speech, or managing content on a website. It simulates human intelligence but is limited to the specific task it was designed for.

Weak AI is built to excel in a single task. Even though these machines appear intelligent, they have more limitations and restrictions compared to even the most basic human intelligence.

Examples of weak AI include:


Smart assistants like Siri and Alexa

Self-driving cars

Google search

Chatbots that can hold a conversation

Email spam filters

Netflix's recommendation system to

Machine Learning Vs. Deep Learning


The terms "machine learning" and "deep learning" are often discussed in AI, but they are not the same thing. Deep learning is a type of machine learning, which is a part of artificial intelligence.

Machine Learning

A machine learning algorithm is given data by a computer and uses statistical methods to learn how to perform a task better without being programmed for that task. The algorithm uses previous data as input to predict new outputs. Machine learning has two main types: supervised learning, which uses labeled data with known expected outputs, and unsupervised learning, which uses unlabeled data with unknown expected outputs.

Deep Learning


Deep learning is a specific kind of machine learning where data is processed through a neural network. This network has multiple hidden layers that allow the machine to learn deeply, creating connections and weighing inputs to improve its results. It's called "deep" learning because it processes the data through multiple layers of the network.

EXAMPLES OF   ARTIFICIAL  INTELLIGENCE

The Four Types of AI


AI can be divided into four categories, based on the type and complexity of the tasks a system is able to perform. They are:

1.Reactive machines
2.Limited memory
3.Theory of mind
4.Self awareness

Comment and like to explain these topics 


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