JOURNAL ARTICLE

Calendar of Events.

  • Published In: International Journal of Computational Intelligence & Applications, 2026, v. 25, n. 1. P. 1 1 of 2

  • Database: Academic Search Ultimate 2 of 2

Abstract

This document provides a schedule of major international conferences in artificial intelligence, machine learning, computational intelligence, and related fields taking place throughout 2026. Events include the IEEE 5th International Conference on Computing and Machine Intelligence (ICMI 2026) in Saudi Arabia, the International Conference on Learning Representations (ICLR 2026) in Brazil, and the 43rd International Conference on Machine Learning (ICML 2026) in South Korea, among others. Several conferences are organized by prominent professional organizations such as IEEE, ACM, and AAAI, and cover diverse topics including autonomous agents, computer vision, bioinformatics, and AI ethics. Locations span multiple continents, with some conferences offering hybrid or online participation options. This list serves as a resource for researchers and professionals seeking current opportunities for engagement in the global AI research community. [Extracted from the article]

Additional Information

  • Source:International Journal of Computational Intelligence & Applications. 2026/03, Vol. 25, Issue 1, p1
  • Document Type:Calendar
  • Subject Area:Computer Science
  • Publication Date:2026
  • ISSN:1469-0268
  • DOI:10.1142/S1469026826830014
  • Accession Number:192692796
  • Copyright Statement:Copyright of International Journal of Computational Intelligence & Applications is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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