AI and Machine Learning Conferences 2026–2027

点击率:196 时间:2026-08-19 14:54:41

Important Disclaimer: The conference information provided in this article is extracted from the database and is for reference only. Please refer to the official conference websites for the most accurate, binding, and up-to-date schedule and submission information.

Artificial Intelligence (AI) and Machine Learning (ML) continue to drive the most significant technological transformations globally. Presenting empirical research, novel algorithms, and application frameworks at specialized international conferences is crucial for computer scientists and AI researchers. Securing publications in these peer-reviewed symposiums ensures high visibility and guarantees indexation in top-tier academic databases like EI Compendex and Scopus.

Below is a curated directory of premier AI and Machine Learning conferences scheduled for late 2026 and early 2027, featuring open Call for Papers across major global tech hubs.

 MACHINE LEARNING CONFERENCES

Featured 2026–2027 AI & ML Conferences

1. CSAI 2026: 10th International Conference on Computer Science and Artificial Intelligence

  • Publisher: ACM

  • Submission Deadline: August 10, 2026

  • Conference Dates: December 18, 2026 to December 21, 2026

  • Location: Beijing, China

  • Primary Focus: Computer Science, Artificial Intelligence, Software Engineering, and Networks

  • Indexing: EI Compendex, Scopus

  • Official Website: https://www.csai.org/

  • Contact Email: csai@young.ac.cn

CSAI 2026 serves as a major international forum in Beijing bringing together AI researchers to discuss foundational machine learning algorithms, cognitive computing, and intelligent software architecture.

2. AIPR 2026: 9th International Conference on Artificial Intelligence and Pattern Recognition

  • Publisher: SPIE

  • Submission Deadline: August 10, 2026

  • Conference Dates: September 11, 2026 to September 13, 2026

  • Location: Xiamen, China

  • Primary Focus: Computer Science, Artificial Intelligence, and Pattern Recognition

  • Indexing: EI Compendex, Scopus

  • Official Website: https://www.aipr.net/

  • Contact Email: aipr@academic.net

Organized by Huaqiao University, AIPR 2026 provides a robust platform for presenting breakthroughs in pattern recognition models, deep learning applied to computer vision, and predictive analytics.

3. CAIT 2026: 7th International Conference on Computer and Artificial Intelligence Technology

  • Publisher: IEEE

  • Submission Deadline: August 20, 2026

  • Conference Dates: November 13, 2026 to November 15, 2026

  • Location: Guiyang, China

  • Primary Focus: Computer Science, Artificial Intelligence Technology, and Computing

  • Indexing: EI Compendex, Scopus

  • Official Website: http://www.cait.net/

  • Contact Email: cait_conference@163.com

CAIT 2026 focuses heavily on the practical applications of artificial intelligence, including natural language processing, neural networks, and AI integration within modern IT infrastructures.

4. AICCC 2026: 9th International Conference on Artificial Intelligence and Cloud Computing

  • Publisher: ACM

  • Submission Deadline: August 5, 2026

  • Conference Dates: December 18, 2026 to December 21, 2026

  • Location: Tokyo, Japan

  • Primary Focus: Artificial Intelligence, Cloud Computing, and Big Data

  • Indexing: EI Compendex, Scopus

  • Official Website: http://www.aiccc.net

  • Contact Email: aiccc.contact@gmail.com

Hosted in Tokyo, AICCC 2026 explores the synergistic intersection of massive cloud computing power and advanced machine learning algorithms.

5. SPRA 2027: 7th Symposium on Pattern Recognition and Applications

  • Publisher: SPIE

  • Submission Deadline: October 10, 2026

  • Conference Dates: March 3, 2027 to March 5, 2027

  • Location: Tokyo, Japan

  • Primary Focus: Artificial Intelligence, Image Processing, and Pattern Recognition

  • Indexing: EI Compendex, Scopus

  • Official Website: http://spra.org/

  • Contact Email: spra_conf@academic.net

Looking into early 2027, SPRA provides a highly specialized venue for researchers dedicated to developing practical applications using intelligent pattern recognition and machine vision systems.

Submission Best Practices for AI Researchers

To ensure your machine learning or AI manuscript successfully passes the technical peer-review phase and proceeds to EI Compendex and Scopus indexing, strictly adhere to these standards:

  • Algorithmic Reproducibility: Ensure your paper clearly details your dataset parameters, training methodologies, and validation metrics so your AI research is fully reproducible.

  • Formatting Compliance: Draft your full paper using the specific template mandated by the publisher (e.g., IEEE or ACM double-column formats). Modifying the official templates will result in administrative rejection.

  • Plagiarism Checks: Submissions must present entirely original research. Automated similarity screening is heavily enforced by all major academic publishers.