Название: Artificial Intelligence in the Age of NanotechnologyАвтор: Wassim Jaber
Издательство: IGI Global
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB
In the world of academia, scholars and researchers are confronted with a rapidly expanding knowledge base in Artificial Intelligence (AI) and nanotechnology. The integration of these two groundbreaking fields presents an intricate web of concepts, innovations, and interdisciplinary applications that can overwhelm even the most astute academic minds. Staying up to date with the latest developments and effectively navigating this complex terrain has become a pressing challenge for those striving to contribute meaningfully to these fields. Artificial Intelligence in the Age of Nanotechnology is a transformative solution meticulously crafted to address the academic community's knowledge gaps and challenges. This comprehensive book serves as the guiding light for scholars, researchers, and students grappling with the dynamic synergy between AI and Nanotechnology. It offers a structured and authoritative exploration of the core principles and transformative applications of these domains across diverse fields. By providing clarity and depth, it empowers academics to stay at the forefront of innovation and make informed contributions.
Recent strides in AI and nanotechnology are converging remarkably. The Chapter 1 provides a comprehensive overview, exploring their principles and applications. Journeying through AI and nanotechnology's history, the authors highlight milestones that shape our understanding of their present and future. They delve into AI fundamentals like Machine Learning, Deep Learning, and Natural Language Processing (NLP). Transitioning to nanotechnology, they explore its history, principles, and nanoscale material significance. Building on this, they investigate their synergy, showcasing AI's optimization of nanomaterial design. Addressing ethics, privacy, and environment, responsible implementation is essential. This chapter introduces the captivating AI-nanotech world, paving the way for deeper discussions. Along with the reader, the authors embark on an enlightening journey into their convergence's boundless potential.
Machine Learning is a dynamic subfield of Artificial Intelligence (AI) that empowers machines to learn and make informed predictions or decisions without explicit programming. By leveraging statistical techniques and iterative learning processes, Machine Learning algorithms have the remarkable capability to analyze vast amounts of data, uncover patterns, and generate intelligent insights or take appropriate actions. In essence, Machine Learning enables computers to learn from data and adapt their performance through continuous learning. By training these algorithms on relevant datasets, they acquire the ability to automatically recognize patterns, correlations, and dependencies, thereby enabling them to make accurate predictions or decisions. For instance, a Machine Learning algorithm can be trained to forecast customer churn based on historical purchase patterns.
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