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Image of - Methods And Applications Of Autonomous Experimentation | Hardcover
Methods And Applications Of Autonomous Experimentation | Hardcover

Methods And Applications Of Autonomous Experimentation | Hardcover

by Noack M.

Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities. Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference. Illustrating theoretical foundations and incorporating practitioners first-hand experiences, this book is a practical guide to successful Autonomous Experimentation.Despite the fields growing potential, there exists numerous myths and misconceptions surrounding Autonomous Experimentation. Combining insights from theorists, machine-learning engineers and applied scientists, this book aims to lay the foundation for future research and widespread adoption within the scientific community. This book is particularly useful for members of the scientific community looking to improve their research methods but also contains additional insights for students and industry professionals interested in the future of the field.

Highlights

  • binding-icon

    9781032314655

    ISBN:

  • binding-icon

    Noack M.

    Author:

  • binding-icon

    402

    Pages:

  • binding-icon

    6100 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2024

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

₹7056

₹8820

Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities. Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference. Illustrating theoretical foundations and incorporating practitioners first-hand experiences, this book is a practical guide to successful Autonomous Experimentation.Despite the fields growing potential, there exists numerous myths and misconceptions surrounding Autonomous Experimentation. Combining insights from theorists, machine-learning engineers and applied scientists, this book aims to lay the foundation for future research and widespread adoption within the scientific community. This book is particularly useful for members of the scientific community looking to improve their research methods but also contains additional insights for students and industry professionals interested in the future of the field.

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