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Artificial Inteligence: 1
Artificial Inteligence: 1
Artificial Inteligence: 1
Ebook45 pages31 minutes

Artificial Inteligence: 1

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In recent years, AI has made significant progress and has been applied in various fields like finance, healthcare, transportation, manufacturing, customer service, and many more. Advancements in AI technologies like computer vision, natural language processing and robotics are becoming an increasingly important part of our daily lives.

LanguageEnglish
Release dateJan 14, 2023
ISBN9798215656808
Artificial Inteligence: 1

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    Book preview

    Artificial Inteligence - OLUWASEUN ADENEYE

    Table of Contents

    Introduction

    What is AI?

    Brief history of AI

    Current state of AI

    Chapter 1: Machine Learning

    Definition and types of machine learning

    Supervised and unsupervised learning

    Reinforcement learning

    Applications of machine learning

    Chapter 2: Natural Language Processing

    Understanding natural language

    Text classification and sentiment analysis

    Language translation

    Applications of NLP

    Chapter 3: Computer Vision

    Understanding image and video data

    Object recognition and image classification

    Applications of computer vision

    Chapter 4: Robotics

    Definition and types of robots

    Robotics in industry and manufacturing

    Robotics in healthcare and medicine

    Robotics in transportation and logistics

    Chapter 5: AI Ethics

    Bias and fairness in AI

    Privacy and security concerns

    AI and job displacement

    Governance and regulation of AI

    Chapter 6: Future of AI

    Advancements and breakthroughs in AI

    AI and its impact on society

    AI and the economy

    AI and the future of work

    Conclusion

    Summary of key points

    Reflection on the current state of AI

    Future directions for AI research and development.

    Introduction: What is AI?

    AI stands for Artificial Intelligence, and it refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can be trained to perform a wide range of tasks, such as image recognition, natural language processing, decision making, and problem solving. There are several different types of AI, including:

    Reactive Machines: These are the most basic form of AI and are only capable of reacting to their environment. They do not have the ability to form memories or use past experiences to inform their actions.

    Limited Memory: These AI systems can use past experiences to inform their current actions, but they cannot form a long-term memory.

    Theory of Mind: These AI systems are able to understand and simulate human emotions and mental states.

    Self-Aware: This is the most advanced form of AI, where systems have a sense of self-awareness and consciousness.

    AI can be implemented in various forms such as rule-based systems, decision trees, genetic algorithms, neural networks, deep learning, etc. It's being used in various fields like finance, healthcare, transportation, manufacturing, customer service, and many more.

    AI is a rapidly evolving field, and research is ongoing to improve the capabilities of AI systems and to find new ways to apply them in various industries.

    Brief history of AI

    The history of AI can be traced back to the 1950s, when pioneers in the field such as Alan Turing, John McCarthy, Marvin Minsky, and Claude Shannon began to explore the idea of creating machines that could think and learn like humans.

    In 1956, McCarthy coined the term Artificial Intelligence and

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