Sofiane Khelladi – författare

This book provides an overview of AI's historical development while understanding the cultural and scientific foundations that make today's AI possible. Through easy-to-understand explanations of complex ideas and a focus on both technological advances and ethical considerations, it provides an understanding of AI's past, present, and future.History of Artificial Intelligence: From the Mathematics of Ancient Civilizations to Thinking Machines takes readers on a fascinating journey through the history of AI, showing how its origins can be traced back to ancient civilizations and their early advancements in mathematics, logic, and computation. It reveals the unexpected links between ancient calculation methods and the technologies that define modern life. By following AI's development, from the mathematical innovations of Mesopotamia, Egypt, and Iran to the revolutionary ideas of the European Renaissance and Enlightenment, readers will discover how human ingenuity over the centuries paved the way for the creation of intelligent machines. Each chapter takes readers step by step through major milestones, from the first mechanical calculators to the rise of modern computers and the development of TM. By exploring these key events and the contributions of diverse civilizations, the book offers fresh insights into AI's global history and its complex relationship with human thought. In the final chapters, the book also addresses the ethical and societal challenges AI presents today, giving readers a well-rounded understanding of how AI is shaping our future and what that means for all of us.This book is written for a broad audience, including both general readers and academic audiences who are interested in the history, development, and ethical implications of AI. It is particularly suited for students, researchers, and professionals in fields such as computer science, AI, mathematics, history of science and technology, and digital ethics.

This book provides an overview of AI's historical development while understanding the cultural and scientific foundations that make today's AI possible. Through easy-to-understand explanations of complex ideas and a focus on both technological advances and ethical considerations, it provides an understanding of AI's past, present, and future.History of Artificial Intelligence: From the Mathematics of Ancient Civilizations to Thinking Machines takes readers on a fascinating journey through the history of AI, showing how its origins can be traced back to ancient civilizations and their early advancements in mathematics, logic, and computation. It reveals the unexpected links between ancient calculation methods and the technologies that define modern life. By following AI's development, from the mathematical innovations of Mesopotamia, Egypt, and Iran to the revolutionary ideas of the European Renaissance and Enlightenment, readers will discover how human ingenuity over the centuries paved the way for the creation of intelligent machines. Each chapter takes readers step by step through major milestones, from the first mechanical calculators to the rise of modern computers and the development of TM. By exploring these key events and the contributions of diverse civilizations, the book offers fresh insights into AI's global history and its complex relationship with human thought. In the final chapters, the book also addresses the ethical and societal challenges AI presents today, giving readers a well-rounded understanding of how AI is shaping our future and what that means for all of us.This book is written for a broad audience, including both general readers and academic audiences who are interested in the history, development, and ethical implications of AI. It is particularly suited for students, researchers, and professionals in fields such as computer science, AI, mathematics, history of science and technology, and digital ethics.

This book provides an overview of AI’s historical development while understanding the cultural and scientific foundations that make today’s AI possible. Through easy-to-understand explanations of complex ideas and a focus on both technological advances and ethical considerations, it provides an understanding of AI’s past, present, and future.History of Artificial Intelligence: From the Mathematics of Ancient Civilizations to Thinking Machines takes readers on a fascinating journey through the history of AI, showing how its origins can be traced back to ancient civilizations and their early advancements in mathematics, logic, and computation. It reveals the unexpected links between ancient calculation methods and the technologies that define modern life. By following AI's development, from the mathematical innovations of Mesopotamia, Egypt, and Iran to the revolutionary ideas of the European Renaissance and Enlightenment, readers will discover how human ingenuity over the centuries paved the way for the creation of intelligent machines. Each chapter takes readers step by step through major milestones, from the first mechanical calculators to the rise of modern computers and the development of TM. By exploring these key events and the contributions of diverse civilizations, the book offers fresh insights into AI’s global history and its complex relationship with human thought. In the final chapters, the book also addresses the ethical and societal challenges AI presents today, giving readers a well-rounded understanding of how AI is shaping our future and what that means for all of us.This book is written for a broad audience, including both general readers and academic audiences who are interested in the history, development, and ethical implications of AI. It is particularly suited for students, researchers, and professionals in fields such as computer science, AI, mathematics, history of science and technology, and digital ethics.

This book provides an overview of AI’s historical development while understanding the cultural and scientific foundations that make today’s AI possible. Through easy-to-understand explanations of complex ideas and a focus on both technological advances and ethical considerations, it provides an understanding of AI’s past, present, and future.History of Artificial Intelligence: From the Mathematics of Ancient Civilizations to Thinking Machines takes readers on a fascinating journey through the history of AI, showing how its origins can be traced back to ancient civilizations and their early advancements in mathematics, logic, and computation. It reveals the unexpected links between ancient calculation methods and the technologies that define modern life. By following AI's development, from the mathematical innovations of Mesopotamia, Egypt, and Iran to the revolutionary ideas of the European Renaissance and Enlightenment, readers will discover how human ingenuity over the centuries paved the way for the creation of intelligent machines. Each chapter takes readers step by step through major milestones, from the first mechanical calculators to the rise of modern computers and the development of TM. By exploring these key events and the contributions of diverse civilizations, the book offers fresh insights into AI’s global history and its complex relationship with human thought. In the final chapters, the book also addresses the ethical and societal challenges AI presents today, giving readers a well-rounded understanding of how AI is shaping our future and what that means for all of us.This book is written for a broad audience, including both general readers and academic audiences who are interested in the history, development, and ethical implications of AI. It is particularly suited for students, researchers, and professionals in fields such as computer science, AI, mathematics, history of science and technology, and digital ethics.

INDUSTRIAL STRATEGIES AND SOLUTIONS FOR 3D PRINTING Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as architecture, engineering, medical, jewelry, footwear, and industrial design. While many published books and review papers have explored various aspects of 3D printing, they often approach the topic from a specific perspective. This book instead views 3D printing as a multidisciplinary field, extending beyond its rapid growth into emerging areas like data science and artificial intelligence. Written by three highly qualified academics with significant research experience in related fields, Industrial Strategies and Solutions for 3D Printing: Applications and Optimization includes information on: Role of various 3D printing features in optimization and how machine learning can be used to further enhance optimization processes Specific optimization techniques including physico-chemical, mechanical, thermal, and rheological characteristics Steps for transitioning of 3D printing from the laboratory scale to industrial applications in fields such as biology, turbomachinery, automotive, and aerospace Challenges related to the controlling factors for in the optimization purpose, along with in-process monitoring of 3D printing for optimal results and output Industrial Strategies and Solutions for 3D Printing: Applications and Optimization is a valuable and up-to-date reference on the subject for researchers, scholars, and professionals in biomedical, chemical, and mechanical engineering seeking to understand foundational concepts related to the free-form fabrication approach and how to achieve optimal results.

INDUSTRIAL STRATEGIES AND SOLUTIONS FOR 3D PRINTING

Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning

Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as architecture, engineering, medical, jewelry, footwear, and industrial design.

While many published books and review papers have explored various aspects of 3D printing, they often approach the topic from a specific perspective. This book instead views 3D printing as a multidisciplinary field, extending beyond its rapid growth into emerging areas like data science and artificial intelligence.

Written by three highly qualified academics with significant research experience in related fields, Industrial Strategies and Solutions for 3D Printing: Applications and Optimization includes information on:

Role of various 3D printing features in optimization and how machine learning can be used to further enhance optimization processes Specific optimization techniques including physico-chemical, mechanical, thermal, and rheological characteristics Steps for transitioning of 3D printing from the laboratory scale to industrial applications in fields such as biology, turbomachinery, automotive, and aerospace Challenges related to the controlling factors for in the optimization purpose, along with in-process monitoring of 3D printing for optimal results and output

Industrial Strategies and Solutions for 3D Printing: Applications and Optimization is a valuable and up-to-date reference on the subject for researchers, scholars, and professionals in biomedical, chemical, and mechanical engineering seeking to understand foundational concepts related to the free-form fabrication approach and how to achieve optimal results.