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Foundations of AI:

Subtitle: "Exploring the Core of AI Technology"

Cover: Description: Dive into the essence of Artificial Intelligence with this comprehensive guide. Unravel the mysteries of neural networks, algorithms, and the digital brain. Whether you're a beginner or looking to deepen your knowledge, this book is your gateway to understanding the foundational principles that are shaping our future.


Outline: 

  • Introduction to AI (Bobbi)
    • History and Evolution of AI
    • Understanding the Basics: Terminology and Concepts
    • The AI Landscape: Types and Categories

Fundamentals of AI Technologies

Copyright 2024, Ledger Academy

INTRODUCTION

Course Overview


Discover the power of business AI technologies with an overview of these exciting revolutionary
technologies. AI technology is taking the world by storm all over the global market.
Organizations and individuals will need not only to understand this fascinating wave of
intelligent assistance. .
This introductory guide is carefully curated for nontechnical, business-oriented audiences. It
examines Artificial intelligence for the enterprise and several pertinent use cases. The Linux
Decentralized Trust Foundation, a global cross-industry community of communities hosted by
The Linux Foundation and advancing AI technologies.
The book covers the history and evolution of Artificial Intelligence, how it works and how it can
work for you. We will discuss its supersonic rise to mainstream acceptance. We’ll start with a
little history of AI and how it works. We will then take a deeper dive into the different enterprise-
ready solutions for your business.
Readers will gain an understanding of how AI works and how they can create value for their
business through improved workflow and speed of which relevant information can be accessed
through efficient, simple and effective use of available AI tools. They will view how intelligent
work generated from these AI agents streamlines workflows reduce inefficiencies and open up
areas never ventured before.
Industries today are using AI technologies to increase efficiency and solve business problems in
new and exciting ways. Be on the cutting edge; learn about these innovative technologies and
bring unique value to your business.

Authors

About Ledger Academy and the Linus Foundation Decentralized Trusts' AIFAQ Team
We partner with the world's leading developers and companies to solve the most challenging
technology problems and accelerate open technology development and commercial adoption.
Our mission is to provide experience and expertise to any initiative working to solve complex
problems through open-source collaboration, supplying the tools to scale open-source projects.

Barbara ( Bobbi) Muscara is a content creator and author of the technical chapters of this book
Audience

Tripur Joshi s a content creator and author of the technical chapters of this book
Audience

Intended Audience


Foundations of AI is designed for nontechnical, business-oriented audiences eager to learn
about the key features of AI technologies and their use cases.

Prerequisites

You should have a basic understanding of technology and computer terminology, networking,
and databases.


Book Length


30,000 to 60,000 words

Getting Help

Discord LinkedIn Forums

Content-related​ issues is via the ​Discussion Forums

​

History and Evolution of AI


Understanding the Basics: Terminology and Concepts

With the rise of Artificial Intelligence, many key terms are being used more frequently and often interchangeably. Before delving into the details, it's crucial to establish a clear understanding by defining these terms.

  • Artificial Intelligence (AI): The simulation of human intelligence by machines, especially computer systems, enabling tasks such as problem-solving, learning, and reasoning.
  • Natural Language Processing (NLP): A branch of AI focused on enabling machines to understand, interpret, and generate human language. Example applications include speech recognition.
  • Computer Vision (CV): A field of AI that focuses on enabling machines to interpret and understand visual information from the world, such as images and videos. It involves techniques to allow computers to extract meaningful data, recognize patterns, and make decisions based on visual input, mimicking human visual capabilities. Example applications include object detection and image classification.
  • Machine Learning (ML): A subset of AI, focusing on the development of algorithms that allow machines to learn from data and improve their performance over time without explicit programming.
  • Neural Networks (NN): NN is one type of ML algorithms. It is system of algorithms inspired by the human brain, consisting of layers of interconnected nodes (neurons) that process input data to generate outputs.
  • Deep Learning (DL): A specialized subset of ML and NN that uses multiple layers of neural networks(deep neural networks) to model complex patterns in large datasets.

The following are some key definitions that are commonly used in AI:

  • Supervised Learning: A type of machine learning where the model is trained on labeled data, learning to map inputs to outputs.
  • Classification: A type of supervised learning in ML where the goal is to assign input data to predefined categories or labels. A model is trained on labeled data to predict the category of new, unseen data based on learned patterns.
  • Regression: Another type of supervised learning where the task is to predict continuous numerical values based on input data. It models the relationship between the input variables (features) and a continuous output variable.
  • Unsupervised Learning: Involves training a model on unlabeled data, allowing it to identify patterns or groupings without explicit instructions.
  • Reinforcement Learning: A learning paradigm where an agent learns by interacting with an environment, receiving feedback in the form of rewards or penalties.

The AI Landscape: Types and Categories


(Tripur i found this newsletter and thought it might be useful:
https://a.tldrnewsletter.com/web-version?ep=1&lc=e12d7e94-184d-11ef-a642-8f5f787eab04&p=703435f8-799a-11ef-8b11-371f32244928&pt=campaign&t=1727098081&s=08e00d007f71dd28628b374f6ad56d10faf70f8bccb1a24f7d28d634eb2752f8)


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