科学人工智能（AI4S）：基于并行智能的前沿和前景

English | 2024 | ISBN: 978-3031674181 | 116 pages | True PDF,EPUB | 19.46 MB

This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum.

中文|2024|ISBN:978-3031674181|116页|True PDF，EPUB | 19.46 MB本书为分析、评估和指导科学人工智能（AI4Sci）研究提供了一个全面的框架，提供了一种统一的方法，通过一组共享的维度和指标促进了不同学术领域的分析。它系统地概述了AI4Sci在各个学科的最新进展，并提供了对AI4Sci最新问题和前景的见解。本书基于并行智能（PI）理论，该理论构成了通用AI4Sci框架的基础。通过分析各个学术领域的多个案例，该框架从多维角度整合了AI4Sci的关键要素，如真实的科学问题、数据集、虚拟系统、人工智能方法、人类角色和组织机制。它还评估和总结了AI4Sci的局限性，并将人工智能的最新进展纳入了基础模型。最后，探讨了DeSci和DAO以及TAO对AI4Sci生态系统发展的影响和前景。通过其平衡的方法，这本书为读者提供了一个以目标为导向的视角，专注于简洁地呈现核心思想，并将具体AI4Sci案例的详细描述减少到最低限度。

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