Tag: AI

AI-Driven Digital Twin and Industry 4.0


Free Download AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications
English | 2024 | ISBN: 1032494735 | 339 Pages | PDF (True) | 22 MB
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.

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AI-Assisted Testing (MEAP V03)


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English | 2024 | ISBN: 9781633437364 | 201 Pages | PDF EPUB | 11 MB
The more you test, the more you learn about your software. AI-Assisted Testing shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time.

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AI-Assisted Programming Using GitHub Copilot and ChatGPT for Coding (Early Release)


Free Download AI-Assisted Programming: Using GitHub Copilot and ChatGPT for Coding (Early Release)
English | 2023 | ISBN: 1098164555 | 52 pages | MOBI | 1.15 Mb
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).

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AI-Assisted Programming Better Planning, Coding, Testing, and Deployment (PDF)


Free Download AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment by Tom Taulli
English | May 21st, 2024 | ISBN: 1098164563 | 225 pages | True PDF | 10.87 MB
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).

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AI-Assisted Data Science (MEAP V05)


Free Download AI-Assisted Data Science (MEAP V05)
English | 2024 | ISBN: 9781633437647 | 174 Pages | PDF (True) | 17 MB
Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In AI-Assisted Data Science, you’ll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours-or even days-of time.

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AI in Material Science Revolutionizing Construction in the Age of Industry 4.0


Free Download AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0
English | 2024 | ISBN: 1032569328 | 289 Pages | PDF (True) | 12 MB
This book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.

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AI for Social Good Using Artificial Intelligence to Save the World


Free Download AI for Social Good: Using Artificial Intelligence to Save the World
English | 2024 | ISBN: 1394205783 | 201 Pages | PDF | 7 MB
AI For Social Good: Using Artificial Intelligence to Save the World bridges the gap between the current state of reality and the incredible potential of AI to change the world. From humanitarian and environmental concerns to advances in art and science, every area of life stands poised to make a quantum leap into the future. The problem? Too few of us really understand how AI works and how to integrate it into our policies and projects.

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