How To Get Into Ai


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How To Get Into AI


How To Get Into AI

Author: Virversity Online Courses

language: en

Publisher: eBookIt.com

Release Date: 2025-02-20


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Embark on an exciting journey into the world of Artificial Intelligence with our comprehensive online course. Designed for beginners, this course will equip you with the foundational knowledge needed to understand and engage with AI technologies, opening doors to numerous career opportunities. Master the Fundamentals of Artificial Intelligence Gain a solid understanding of AI concepts and terminologies. Learn about the historical background and evolution of Artificial Intelligence. Discover the practical applications and potential of AI in various industries. Acquire skills to identify and analyze AI trends and developments. Introduction to AI: Understanding the Basics of Artificial Intelligence Artificial Intelligence is transforming industries and shaping the future of technology. This course begins with an introduction to the core concepts and definitions that form the basis of AI. You will explore the historical milestones that have led to the current advancements in AI, gaining an appreciation for its rapid evolution. Through engaging lectures and practical examples, you will learn about the diverse applications of AI, from robotics and natural language processing to image recognition and beyond. This course will also provide insights into how AI is being implemented across different sectors, including healthcare, finance, and automotive industries. By the end of this course, you will have developed the ability to critically assess AI trends and contribute to discussions about its future impact. You will be equipped with a foundational understanding that prepares you for more advanced AI studies or to enter AI-related fields. Upon completing this course, you will emerge with a newfound confidence in your ability to engage with AI technologies and a clearer vision of how AI can be leveraged to enhance personal and professional growth.

Advanced Lessons in Artificial Intelligence: A Technical Novel and a Readable Primer


Advanced Lessons in Artificial Intelligence: A Technical Novel and a Readable Primer

Author: Harry Katzan Jr.

language: en

Publisher: iUniverse

Release Date: 2024-04-11


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There are a lot of people that are worried about artificial intelligence, where artificial intelligence is commonly regarded as the science of making machines do things that would require intelligence if performed by humans. Primarily, they think that the adoption of that technology will cause them to lose their jobs, and they will not have anywhere to go for employment. The computer will be doing everything from scrubbing the floor to running an investment bank, and all that is in between. These are primarily educated people who thought they were okay for their entire life. And, it’s not like the bookkeeping and word processing jobs of years ago. It’s everything. Really everything. To boot, you hear statements like, “That could be true that you might lose your job, unless you know AI,” where the acronym AI stands for the two terrible words, artificial intelligence. It is something to worry about, even though deep down, you probably realize it isn’t going to be true. Somehow, the government will take of it. AI stands for Artificial Intelligence, as I said, and we will use those two letters throughout this volume. AI books are simply hard to read, and authors like to throw around unfamiliar terms like neuron, cognitive science, and Singularity, and sooner or later, they will end up with some math, and there are many people that don’t like math. They could do math if they need to, but they prefer not to. Moreover, it is hard to remember the subject when it is just thrown at you, like you should love it to death. This book uses dialog to ease the pain. The first book is an easy-to-read novel with AI thrown in when appropriate, or it is an AI book with the novel thrown in when the AI is getting sketchy. You can share their misgivings. We have added something more to help you with the subject matter of the first book. We have included a supplemental book. The second book is a pure and simple AI Primer, and we mean really simple, when you like what you’ve read about AI in the technical/novel first part, and you want to get into it more fully. There is another option. You could read the Primer first and then read the novel part for enjoyment and to find out how the people in the first book are getting along with AI. You will be surprised. The volume, that is both books, is a good bargain that you could share with your family or give to a friend. The books contain no violence, no sex, and no bad language, and is suitable to readers of all ages. I hope you enjoy it!

Quantum Networks and Their Applications in AI


Quantum Networks and Their Applications in AI

Author: Ananth, Christo

language: en

Publisher: IGI Global

Release Date: 2024-08-15


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The union of quantum networks and artificial intelligence marks a pivotal moment in the trajectory of technological advancement. This encompasses data security, optimization, finance, high-precision sensors, simulations, and computer applications. Numerous quantum information and processing systems have been created and proven in labs, fields, and commercial settings during the last few decades. Quantum technologies have received considerable support for research and development from corporations and governments. However, considerable work is required to bring quantum technology-based gadgets and systems to consumers' homes. Quantum Networks and Their Applications in AI investigates the potential uses of artificial intelligence and related technologies in quantum networks and to educate the computational intelligence community about current advances in quantum information technology. The purpose of this research topic is to bring together individuals from academia and industry, from the classical and quantum artificial intelligence communities in order to discuss the theory, technology, and applications of quantum technologies, and to exchange ideas on how to efficiently advance the engineering and development of this fascinating field. Covering topics such as machine learning, management systems, and quantum networks, this book is a valuable resource for computer scientists, engineers, professionals, researchers, academicians, government officials, policy makers, and more.