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Advances In Artificial And Human Intelligence In The Modern Era

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Advances In Artificial And Human Intelligence In The Modern Era

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Author : Rajest, S. Suman
language : en
Publisher: IGI Global
Release Date : 2023-09-11

Advances In Artificial And Human Intelligence In The Modern Era written by Rajest, S. Suman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-11 with Computers categories.

In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.

Advances In Artificial And Human Intelligence In The Modern Era

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Author : S. Suman Rajest
language : en
Publisher: Engineering Science Reference
Release Date : 2023-09-11

Advances In Artificial And Human Intelligence In The Modern Era written by S. Suman Rajest and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-11 with Computers categories.

In the fields of psychological and brain sciences, there is a pressing need to enhance individual performance through tailored interventions, considering the unique cognitive and biological traits of humans. However, discovering such precision approaches has proven to be a challenging task. Traditional methods often fall short in providing personalized solutions; the lack of a comprehensive integration of domain expertise and human judgment inevitably limits the effectiveness of artificial intelligence (AI) in optimizing human performance. As the demand for individualized training, health monitoring, and cognitive improvement rises, it becomes imperative to bridge the gap between AI capabilities and the specific needs of human subjects. Advances in Artificial and Human Intelligence in the Modern Era offers a groundbreaking solution to address the existing challenges in the intersection of AI and human performance optimization. This book delves into the latest empirical research, literature reviews, and methodological papers to present precision AI methods for personalized interventions. By exploring how domain expertise and human insights can improve AI's performance, the book establishes a comprehensive framework to model individual differences and develop effective, tailored AI strategies. Designed with care to be useful to academic scholars and researchers in psychological and brain sciences, computer science, and related disciplines, this book offers a multifaceted exploration of innovative advancements in artificial and human intelligence convergence. Through its diverse chapters covering topics such as detecting mental health issues, incorporating human intelligence into AI tools, improving trustworthiness, and exploring data standards, the book provides a definitive resource for harnessing the full potential of AI to optimize human performance. By merging expertise from both fields, the book sets the stage for a new era of individualized interventions that can revolutionize how we approach human cognitive enhancement, training, and overall well-being.

Artificial Intelligence In Society

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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Advances In Artificial And Human Intelligence In The Modern Era

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Author : Karthikeyan Chinnusamy
language : en
Publisher:
Release Date : 2023

Advances In Artificial And Human Intelligence In The Modern Era written by Karthikeyan Chinnusamy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

Advanced Applications Of Generative Ai And Natural Language Processing Models

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Author : Obaid, Ahmed J.
language : en
Publisher: IGI Global
Release Date : 2023-12-21

Advanced Applications Of Generative Ai And Natural Language Processing Models written by Obaid, Ahmed J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare

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Author : John Joseph, Ferdin Joe
language : en
Publisher: IGI Global
Release Date : 2025-05-28

Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare written by John Joseph, Ferdin Joe and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.

The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.

Optimizing Intelligent Systems For Cross Industry Application

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Author : Rajest, S. Suman
language : en
Publisher: IGI Global
Release Date : 2024-08-28

Optimizing Intelligent Systems For Cross Industry Application written by Rajest, S. Suman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.

Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent technology integration in various sectors, including agriculture, medicine, healthcare, computer engineering, business management, and environmental research. It presents solutions for the effective use of intelligent systems within their respective industries. This book covers topics such as human resources, smart cities, and crop productivity, and is a useful resource for computer engineers, agriculturalists, business owners, healthcare professionals, environmentalists, researchers, scientists, and academicians.

Meta Learning Frameworks For Imaging Applications

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Author : Sharma, Ashok
language : en
Publisher: IGI Global
Release Date : 2023-09-28

Meta Learning Frameworks For Imaging Applications written by Sharma, Ashok and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Computers categories.

Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications, experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.

Data Driven Intelligent Business Sustainability

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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-05

Data Driven Intelligent Business Sustainability written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Computers categories.

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

Effective Ai Blockchain And E Governance Applications For Knowledge Discovery And Management

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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2023-09-25

Effective Ai Blockchain And E Governance Applications For Knowledge Discovery And Management written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Computers categories.

Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Advances In Artificial And Human Intelligence In The Modern Era

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