Barr Areas of Success for AI

Areas of Success for AI

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Third Annual Workshop, Embry-Riddle L. H. Harper Memorial AI Workshop 2025, Prescott, AZ, USA, August 15-16, 2025, Proceedings

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Beschreibung

Advances in Computer Science Applications and Research

The ACSAR series is devoted to the publication of peer-reviewed proceedings of conferences and workshops as well as edited volumes and monographs. Its aim is to efficiently disseminate original research results in interdisciplinary applications of computer science and information technology. All ACSAR proceedings are available in electronic form from the SpringerLink digital library, and as printed books, and reach libraries and readers worldwide via Springer’s distribution network.

Besides globally relevant meetings with internationally representative program committees guaranteeing a strict peer-reviewing and paper-selection process, conferences run by societies or of high regional or national relevance are also considered for publication. 

The topical scope of ACSAR spans the entire spectrum of computer science, information technology as well as communications science and technology with a broad variety of interdisciplinary application fields.

ACSAR proceedings can be published in time for distribution at conferences or as revised proceedings after the event. The publication is free of charge and an Open Access option is available at a fee. The language of publication is exclusively English.

To start the evaluation of your proposal for inclusion in the ACSAR series, please send an e-mail to acsar@springer.com.

 

ISSN: 3091-2954

 


The Third Annual AI Workshop at Embry‑Riddle Aeronautical University, ERAI 2025, took place in Prescott, AZ, USA, during August 15-16, 2025.

The 15 papers presented were carefully reviewed and selected for inclusion in the proceedings book. They deal with special topics in AI, focusing on AI and cybersecurity; combinatorics and AI; aerospace AI; methodology and empirics; and healthcare AI. 


Autor*in

Joseph R. Barr

Themen in »Areas of Success for AI«

AI Machine Learning Statistical Methodology Combinatorial Optimization Core-AI Combinatorial Methods in AI Applications to Data Science Natural Language Processing Large Language Models Environmental Science Half-Life Estimation with ML Ethical AI Aerospace Agentic AI Education

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Details

ISBN: 9783032182302
Verlag: Springer International Publishing
Erscheinung: 19.04.2026

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