Advanced Virtual Assistants A Window To The Virtual Future
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Advanced Virtual Assistants - A Window to the Virtual Future
Author: Ali Soofastaei
language: en
Publisher: BoD – Books on Demand
Release Date: 2024-04-10
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.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Computational Science and the Research Track on Computational Intelligence held as part of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11–13, 2024. The 24 full papers included in this book were carefully reviewed and selected from a total of 78 submissions. The Research Track on Computational Science, CSCI-RTSC, received 78 submissions of which 17 papers were accepted; 16 of these are included in this volume. For the Research Track on Computational Intelligence, CSCI-RTCI, 10 papers were accepted from 59 submissions. The contributions were organized in topical sections on Computational Science - Frameworks, Applications, and Algorithms; Computational Science - Mathematics, Simulation, Performance Studies, Optimization and Programming; and Computational Intelligence - Optimization, Applications and Algorithms.
Intersections of Law and Computational Intelligence in Health Governance
Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.