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商品詳細
Data-Driven AI: A Multidisciplinary Approach: Techniques, Applications, and Insights from Multiple Domains.
・ISBN 978-1-041-27236-6 paper GB£ 69.99
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| 著者・編者 | Mahanta, Dimpal Jyoti / Jyoti Bora, Dibya / Kumar Dutta, Biju / Mahanta, Himashree (eds.), |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 348 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-13185＞ |
解説
The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications. Scheduled from May 7 to May 9, 2025, in Jorhat, India, the conference aims to bring together researchers, academics, industry professionals, and policymakers to explore cutting-edge developments and their real-world impacts. ICDDA 2025 focuses on a broad spectrum of AI-related topics, including but not limited to Artificial Intelligence, Machine Learning, Data Structures and Algorithms, Data Mining, Image and Signal Processing, Natural Language Processing, Mathematical and Statistical Sciences, AI-Integrated Physical, Chemical, Biological, Environmental, Agricultural, Health and Social Sciences. By focusing on collaborative innovation, ICDDA 2025 aims to inspire progress in AI-driven technologies and their impact on science, industry, and society.
The conference emphasizes the integration of AI with diverse scientific and industrial domains, showcasing applications in areas such as healthcare, sustainability, robotics, and automation. Through keynote speeches, technical paper presentations, workshops, and panel discussions, ICDDA 2025 will explore how AI can solve real-world challenges and drive innovation across fields.
Unlike other conferences, ICDDA 2025 prioritizes an interdisciplinary approach, bridging the gap between theoretical research and practical applications. The event also emphasizes ethical AI practices and sustainability, making it relevant to a wide audience, including researchers, engineers, data scientists, students, and decision-makers.