1.

Record Nr.

UNINA9910887889603321

Autore

Miao Qinghai

Titolo

Artificial Intelligence for Science (AI4S) : Frontiers and Perspectives Based on Parallel Intelligence / / by Qinghai Miao, Fei-Yue Wang

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

3-031-67419-7

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (118 pages)

Collana

SpringerBriefs in Service Science, , 2731-3751

Altri autori (Persone)

WangFei-Yue

Disciplina

658.4062

658.514

Soggetti

Technological innovations

Artificial intelligence

Machine learning

Service industries

Innovation and Technology Management

Artificial Intelligence

Machine Learning

Services

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

AI4S based on Parallel Intelligence -- AI for Mathematics -- AI for Physics -- AI for Biology -- AI for Health and Medicine -- AI for Chemistry -- AI for Material Science -- AI for Astronomy -- Toward a Sustainable AI4S Ecosystem.

Sommario/riassunto

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.