AI stands for Artificial Intelligence. It refers to the development of computer systems or machines that can perform tasks that require human intelligence. These are designed to simulate human cognitive abilities such as learning, problem-solving, perception, and decision-making.AI can be categorized into two main types: Narrow AI and General AI.

NARROW AI SYSTEMS

Firstly ,designed to perform specific tasks within a limited domain and also known as weak AI . And examples of narrow AI include voice assistants like Siri and Alexa, image recognition software, and recommendation algorithms used by streaming platforms .

GENERAL AI SYSTEMS

Similarly known as strong AI or Artificial General Intelligence. Which, refers to AI systems that possess the ability to understand, learn, and apply knowledge across various domains. It possesses human-like intelligence and could potentially outperform humans in most intellectual tasks.

CLASSIFICATION OF AI

AI systems are built using various techniques. This includes machine learning, deep learning, natural language processing, computer vision, and robotics. Machine learning algorithms allow the systems to analyze large amounts of data, recognize patterns, and make predictions based on the patterns.

DEEP LEARNING IN AI

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Firstly, deep learning enables AI systems to process complex data such as images, speech, and text. Moreover it has numerous applications across industries. Some of which include; healthcare, finance, manufacturing, transportation, and entertainment. Secondly it has the potential to revolutionize various fields, automate repetitive tasks. Thirdly Enhances decision-making, and create new opportunities for innovation and efficiency

ROBOTICS AND AI SYSTEMS

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AI enables robots to perceive and understand their environment, make decisions, and adapt their behavior accordingly. One of the ways robotics is applied is through perception. AI algorithms, such as computer vision and image processing, help robots perceive and interpret their surroundings. They can analyze visual data from cameras, detect objects, recognize faces, and understand the spatial layout of their environment.

Another way is through Path Planning and Navigation. AI-based algorithms are used to plan optimal paths for robots to navigate in complex and dynamic environments. These algorithms consider factors like obstacles, the robot’s capabilities, and the desired goal to generate efficient and collision-free paths.

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