Machine Intelligence: Computer Vision and Natural Language Processing

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware.

Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. 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.

Features:

• Motion images object detection over voice using deep learning algorithms
• Ubiquitous computing and augmented reality in HCI
• Learning and reasoning in Artificial Intelligence
• Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning
• Streaming analytics for healthcare and retail domains

Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

機器正逐漸被賦予互動和智能的能力，這使得它們在操作、提供和輸出方面變得系統化。有著開創性的人工智能（AI）技術和工具。機器學習（ML）和深度學習（DL）算法以及相應的框架、庫和專用加速器，在計算機和機器視覺、人機界面（HMI）和智能機器等領域找到了特別有用的應用。能夠看見和感知的機器可以為企業和人們的日常工作帶來更深入和決定性的加速、自動化和增強能力。機器視覺之所以成為現實，是因為計算機視覺和設備儀器領域的進步。機器越來越多地以軟件定義。也就是說，視覺能力的軟件和硬件模塊被嵌入到新一代機器中，使其具有自我、周圍和情境感知的能力。

機器智能強調計算機視覺和自然語言處理作為機器智能進步的驅動力。本書從算法層面到應用層面探討了這些技術。它還探討了在商業和工業中實現智能應用的整合技術。

特點：
- 使用深度學習算法進行運動圖像物體檢測
- 人機交互中的普遍計算和擴增現實
- 人工智能中的學習和推理
- 人工智能和機器學習時代的經濟可持續性、正念和多樣性
- 醫療保健和零售領域的流式分析

本書涵蓋了機器視覺中已確立和新興的技術，重點關注最近和新穎的應用，並討論了最先進的技術和工具。

Pethuru Raj has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd., Bangalore. He previously worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch. In total, he has gained more than 19 years of IT industry experience and 8 years of research experience.

P Beaulah Soundarabai is an associate professor in the Department of Computer Science, Christ University, Bangalore, having 20 years of teaching experience. She is been associated with Christ University for the past 14 year. Prior to this, she has teaching experience in SFR College for Women, Sivakasi, and AGCS, Kolkata lecturer, and in for 3 years respectively. She has 10 years of research experience in the areas of Distributed Computing, Computer Networks, IoT, Edge and Cloud computing, and Data Analytics.

Peter Augustine has been working as an Associate Professor in the Department of Computer Science, CHRIST (Deemed to be University), Bangalore. Peter Augustine has a PhD in Medical Image Processing in Cloud Environment, with over 8 years in cloud computing and 5 years in Big Data Analytics. He has authored various research papers published in peer-reviewed journals. He has been involved in a Major Research Project using Cloud Computing which costs more than 18 lakhs. He has also collaborated with St. John's Medical Research Institute for the research project to diagnose Lung Diseases using cutting-edge AI and Machine Learning.

Pethuru Raj在Reliance Jio Platforms Ltd.的Site Reliability Engineering (SRE)部門擔任首席架構師，位於班加羅爾。他曾在IBM全球雲中心擔任雲基礎架構架構師，是TOGAF認證的企業架構(EA)顧問，曾在Wipro Consulting Services (WCS)部門工作，並在Robert Bosch的企業研究(CR)部門擔任首席架構師。他總共擁有超過19年的IT行業經驗和8年的研究經驗。

P Beaulah Soundarabai是克里斯特大學計算機科學系的副教授，位於班加羅爾，擁有20年的教學經驗。她與克里斯特大學有著14年的合作關係。在此之前，她在SFR College for Women和AGCS分別擔任講師，分別有數年的教學經驗。她在分散式計算、計算機網絡、物聯網、邊緣和雲計算以及數據分析等領域擁有10年的研究經驗。

Peter Augustine在克里斯特(被視為大學)計算機科學系擔任副教授。他在醫學影像處理在雲環境中方面擁有博士學位，擁有超過8年的雲計算經驗和5年的大數據分析經驗。他撰寫了多篇發表在同行評審期刊上的研究論文。他參與了一個使用雲計算的重大研究項目，項目費用超過18萬卢比。他還與聖約翰醫學研究所合作進行研究項目，使用尖端人工智能和機器學習來診斷肺部疾病。