Machine Intelligence: Computer Vision and Natural Language Processing

Machines are becoming more interactive and intelligent, with AI technologies and tools such as Machine and Deep Learning (ML/DL) algorithms, frameworks, libraries, and accelerators being used in computer and machine vision, HMIs, and intelligent machines. Machine vision is becoming a reality due to advancements in computer vision and device instrumentation. Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence, and the book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry.

Format: Hardback
Length: 318 pages
Publication date: 03 October 2023
Publisher: Taylor & Francis Ltd

Machines are undergoing a remarkable transformation, becoming increasingly interactive and intelligent in their operations, offerings, and outputs. This transformation is driven by pioneering Artificial Intelligence (AI) technologies and tools, including Machine and Deep Learning (ML/DL) algorithms, enabling frameworks, libraries, and specialized accelerators. These technologies find particularly valuable applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines.

Machines that possess the ability to see and perceive hold immense potential for driving profound and decisive advancements in various domains. They can enhance automation, augmentation, and acceleration capabilities for businesses and individuals alike, revolutionizing the way tasks are executed. One notable area where machine vision is gaining traction is through advancements in computer vision and device instrumentation. These advancements are enabling machines to perceive and interpret visual information, paving the way for applications such as autonomous vehicles, medical imaging, and industrial inspection.

Furthermore, machines are increasingly being defined by software, with vision-enabling software and hardware modules being embedded in new-generation machines to achieve self-awareness, surround awareness, and situation awareness. This software-defined approach empowers machines to adapt and respond to their environment, enhancing their efficiency and effectiveness.

Machine Intelligence emphasizes computer vision and natural language processing as key drivers of advancements in machine intelligence. This book delves into these technologies, examining them from an algorithmic perspective to their practical applications. It also explores the integrative technologies that enable intelligent applications across business and industry.

The book offers a comprehensive coverage of established and emerging technologies in machine vision, focusing on recent and novel applications. It discusses state-of-the-art technologies and techniques, providing insights into the latest developments and innovations in this field. By exploring the intersection of AI, ML/DL, and software-defined machines, this book offers valuable insights for researchers, practitioners, and professionals seeking to leverage the power of machine intelligence in their respective domains.

Weight: 789g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032201993