商品描述
This volume is a research work that explores the latest developments and applications of technology and AI in various domains. It provides a comprehensive and up-to-date overview of the current state and prospects of technological and AI innovations in fields such as health, physics, mineral engineering, petroleum and energy. It comprises 12 chapters, each written by an expert in the respective field.
The book offers a balanced and objective perspective on the benefits, challenges and ethical implications of technology and AI, as well as insights into the future trends and opportunities in these fields. This balanced approach elevates the book into a unique and indispensable resource. Readers will not only be exposed to the frontiers of knowledge and innovation but will also find themselves equipped with tools to critically evaluate the impact of these advancements on society and the world at large. It offers a comprehensive, multidimensional, and future-oriented perspective that is indispensable for navigating the ever-evolving landscape of technology and AI. It is a definitive guide for both neophytes and seasoned experts, equipping them with knowledge and foresight to actively engage and contribute to the ongoing technological revolution. This book is not merely a passive repository of information; it is an active catalyst for intellectual growth and informed decision-making in an age where the integration of technology and AI is omnipresent and inevitable.
商品描述(中文翻譯)
本卷是一部研究著作，探討技術和人工智慧在各個領域的最新發展和應用。它提供了對健康、物理、礦業工程、石油和能源等領域中技術和人工智慧創新當前狀態及前景的全面且最新的概述。全書共包含12章，每一章均由該領域的專家撰寫。
本書對技術和人工智慧的好處、挑戰及倫理影響提供了平衡且客觀的視角，並深入探討這些領域的未來趨勢和機會。這種平衡的方式使本書成為一個獨特且不可或缺的資源。讀者不僅將接觸到知識和創新的前沿，還將獲得批判性評估這些進展對社會和整個世界影響的工具。它提供了一個全面、多維且面向未來的視角，對於在不斷演變的技術和人工智慧環境中導航是不可或缺的。這是一本針對新手和資深專家的權威指南，讓他們具備知識和前瞻性，積極參與並貢獻於持續的技術革命。本書不僅僅是信息的被動儲存庫；它是促進智力成長和明智決策的主動催化劑，在這個技術和人工智慧無處不在且不可避免的時代中尤為重要。
作者簡介
Dr. Daniel Asante Otchere is a research computing software engineer specializing in artificial intelligence and machine learning at the Institute for Computational and Data Sciences (ICDS) at Penn State University, USA. He also works as a Data Scientist with the Penn State Clinical and Translational Science Institute (CTSI), where his work focuses on breaking boundaries in artificial intelligence innovations within health informatics. He holds a Ph.D. in petroleum engineering from Universiti Teknologi PETRONAS (UTP) in Malaysia, a master's degree in petroleum geoscience from the University of Manchester in the UK, and a bachelor's degree in geological engineering from the University of Mines and Technology in Ghana. Professionally, Dr. Otchere has extensive experience in the mining and oil and gas industries, contributing to multiple onshore and offshore projects that have significantly advanced petroleum operations across Africa and Southeast Asia. He currently serves as an editor for Petroleum Geoscience Journal and maintains his long-standing involvement with the World Geothermal Congress--having served as a technical committee member since 2021. Beyond his professional and editorial roles, Dr. Otchere teaches artificial intelligence through his YouTube channel, Study with Dani, where he shares insights on machine learning and computational science. His expertise driven numerous collaborative research efforts, resulting in publications in leading journals and conferences, as well as a patent application. He was recognized for excellence in teaching and research at UTP, earning the Best Postgraduate Student Award in 2021 and the Graduate Assistant Merit Award in 2021 and 2022.
作者簡介(中文翻譯)
丹尼爾·阿桑特·奧切雷博士 是美國賓州州立大學計算與數據科學研究所 (ICDS) 的研究計算軟體工程師，專注於人工智慧和機器學習。他同時擔任賓州州立大學臨床與轉化科學研究所 (CTSI) 的數據科學家，專注於在健康資訊學中推動人工智慧創新的邊界。他擁有馬來西亞彼得羅納斯科技大學 (Universiti Teknologi PETRONAS, UTP) 的石油工程博士學位、英國曼徹斯特大學的石油地球科學碩士學位，以及加納礦業與科技大學的地質工程學士學位。在專業上，奧切雷博士在礦業及石油和天然氣行業擁有豐富的經驗，參與了多個陸上和海上項目，顯著推進了非洲和東南亞的石油作業。他目前擔任石油地球科學期刊的編輯，並持續參與世界地熱大會，自2021年以來擔任技術委員會成員。除了專業和編輯角色外，奧切雷博士還通過他的YouTube頻道Study with Dani教授人工智慧，分享有關機器學習和計算科學的見解。他的專業知識推動了多項合作研究工作，並在領先的期刊和會議上發表了多篇論文，還申請了一項專利。他因在UTP的教學和研究卓越而受到表彰，於2021年獲得最佳研究生獎，並在2021年和2022年獲得研究生助理優異獎。
