Advanced Virtual Assistants – A Window to the Virtual Future

1st Edition

By Ali Soofastaei

Copyright Year © 2024

ISBN:9781837697113
Publisher: IntechOpen
Published: 10 April 2024
Number of pages: 152
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Description

Advanced Virtual Assistants (AVAs) are computer programs that use artificial intelligence (AI) to perform various tasks for human users. These AI-powered assistants can help with multiple activities, including scheduling appointments, answering questions, managing email and social media, and even performing complex calculations. They can be accessed through various platforms, including smartphones, smart speakers, and other digital devices. AVAs utilize natural language processing (NLP) and machine learning algorithms to understand human language and improve their responses over time. As these technologies advance, virtual assistants are becoming increasingly sophisticated and capable of handling more complex tasks. As a result, they are transforming how we interact with technology and providing users with more efficient and personalized experiences. This book is a helpful reference for scientists and industrial experts interested in AVAs’ current and future capabilities.

  1. Introductory Chapter: Advanced Virtual Assistants – Transforming Future of Human-Computer Interaction
  2. ICT and Physical Activity
  3. Human-AI Collaboration for Smart Education:Reframing Applied Learning to Support Metacognition
  4. AI of Public Communication for the Vulnerable:A Focus on Voice-Based Chatbots and Policy Suggestions
  5. Personality for Virtual Assistants: A Self-Peresentation Approach
  6. Fundamental Concepts and Algorithms in machine learning
  7. Spread of Online Chatting and Global Developments in Reading Literacy during 2000-2018
  8. Mines and Machines: Virtual Assistants in Modern Mining 

Dr. Ali Soofastaei

Biography 

Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.

He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.

Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia.

He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams.

Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.

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