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3 books on AI for Scientific Research [PDF]
Updated: February 27, 2024 | 19 |
Books on AI for Scientific Research are invaluable resources for startups focusing on the development of AI solutions tailored for the scientific community. These resources provide a comprehensive foundation, covering various facets of AI's role in scientific research, from data analysis and predictive modeling to accelerating experiments and hypothesis generation. They delve into complex techniques like deep learning, natural language processing, and data integration, shedding light on how AI can enhance the speed and accuracy of scientific discovery. Moreover, these books often include practical examples, case studies, and best practices, allowing startups to learn from successful applications in various scientific fields, from healthcare to materials science.
1. AI for Scientific Discovery
2023 by Janna Hastings
The book "AI for Scientific Discovery" offers an accessible introduction to the diverse applications of artificial intelligence (AI) technologies in scientific research across various scientific disciplines. AI plays a crucial role in supporting scientific discovery in multiple ways, such as aiding in literature management and synthesis to facilitate the integration of existing research. It also contributes significantly to data analysis and interpretation, particularly in the field of data science. Furthermore, AI helps address issues like the reproducibility crisis in scientific research by establishing AI-enabled standards and pipelines, as well as managing extensive data and knowledge resources for sharing and integration. These resources form a foundational 'knowledge ecosystem' into which new discoveries can be incorporated. However, it's important to recognize the limitations of AI, as its outputs may be biased and confounded, warranting a balanced approach that combines human insights with the computational power of AI technologies, especially the latest hybrid and 'human-in-the-loop' AI models.
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2. Knowledge Management and AI in Society 5.0
2023 by Manlio Del Giudice, Veronica Scuotto, Armando Papa
Society 5.0 emphasizes a human-centric approach empowered by cutting-edge technologies and artificial intelligence (AI). This book delves into the realm of knowledge management within the context of Society 5.0, shedding light on its significance in an increasingly digital and interconnected society. It enriches existing managerial and economic research by providing a perspective on the "human" dimension of knowledge management (KM) intertwined with the utilization of artificial intelligence (AI). Each chapter offers unique insights into KM from various angles, including entrepreneurship, innovation, marketing, and strategy, both in theory and practice. These insights draw from the experiences of practitioners and scholars and are enriched with practical tools applicable in laboratory settings, workshops, and tutorials. The book offers substantial evidence on managing KM and fostering new knowledge in diverse domains, aiming to transcend conventional KM strategies and demonstrating the interconnectedness of business and society through the "power of subjective human knowledge creation." By presenting fresh insights, research findings, and practical guidance, this book will find resonance with academics, knowledge management students, and digital transformation professionals seeking ways to transition their organizations from a knowledge-based economy to a digital one.
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3. AI-empowered Knowledge Management
2022 by Soumi Majumder, Nilanjan Dey
This book delves into the realm of AI-empowered knowledge management, with a primary focus on enhancing processes, implementing technology to facilitate knowledge accessibility, and understanding the profound impact of knowledge management on fostering an environment conducive to continuous learning and the generation of fresh knowledge. The book explores the comprehensive knowledge management process, encompassing the entirety of knowledge creation, dissemination, and maintenance, all geared towards achieving organizational objectives. It also delves into the tools and technologies that empower knowledge creation, codification, and seamless transfer within business entities, thereby alleviating the workload and enabling efficient resource allocation toward practical tasks. In light of the significant proliferation of artificial intelligence within business organizations, the practice of AI-empowered knowledge management is emerging as a pivotal driver of organizational growth and development.
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How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. AI for Scientific Discovery
2023 by Janna Hastings
The book "AI for Scientific Discovery" offers an accessible introduction to the diverse applications of artificial intelligence (AI) technologies in scientific research across various scientific disciplines. AI plays a crucial role in supporting scientific discovery in multiple ways, such as aiding in literature management and synthesis to facilitate the integration of existing research. It also contributes significantly to data analysis and interpretation, particularly in the field of data science. Furthermore, AI helps address issues like the reproducibility crisis in scientific research by establishing AI-enabled standards and pipelines, as well as managing extensive data and knowledge resources for sharing and integration. These resources form a foundational 'knowledge ecosystem' into which new discoveries can be incorporated. However, it's important to recognize the limitations of AI, as its outputs may be biased and confounded, warranting a balanced approach that combines human insights with the computational power of AI technologies, especially the latest hybrid and 'human-in-the-loop' AI models.
Download PDF
2. Knowledge Management and AI in Society 5.0
2023 by Manlio Del Giudice, Veronica Scuotto, Armando Papa
Society 5.0 emphasizes a human-centric approach empowered by cutting-edge technologies and artificial intelligence (AI). This book delves into the realm of knowledge management within the context of Society 5.0, shedding light on its significance in an increasingly digital and interconnected society. It enriches existing managerial and economic research by providing a perspective on the "human" dimension of knowledge management (KM) intertwined with the utilization of artificial intelligence (AI). Each chapter offers unique insights into KM from various angles, including entrepreneurship, innovation, marketing, and strategy, both in theory and practice. These insights draw from the experiences of practitioners and scholars and are enriched with practical tools applicable in laboratory settings, workshops, and tutorials. The book offers substantial evidence on managing KM and fostering new knowledge in diverse domains, aiming to transcend conventional KM strategies and demonstrating the interconnectedness of business and society through the "power of subjective human knowledge creation." By presenting fresh insights, research findings, and practical guidance, this book will find resonance with academics, knowledge management students, and digital transformation professionals seeking ways to transition their organizations from a knowledge-based economy to a digital one.
Download PDF
3. AI-empowered Knowledge Management
2022 by Soumi Majumder, Nilanjan Dey
This book delves into the realm of AI-empowered knowledge management, with a primary focus on enhancing processes, implementing technology to facilitate knowledge accessibility, and understanding the profound impact of knowledge management on fostering an environment conducive to continuous learning and the generation of fresh knowledge. The book explores the comprehensive knowledge management process, encompassing the entirety of knowledge creation, dissemination, and maintenance, all geared towards achieving organizational objectives. It also delves into the tools and technologies that empower knowledge creation, codification, and seamless transfer within business entities, thereby alleviating the workload and enabling efficient resource allocation toward practical tasks. In light of the significant proliferation of artificial intelligence within business organizations, the practice of AI-empowered knowledge management is emerging as a pivotal driver of organizational growth and development.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
