Información de la conferencia

SAIM 2026: International Conference on Soft Computing, Artificial Intelligence and Machine Learning

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Día de Entrega:
2026-01-24 Extendido
Fecha de Notificación:
2026-02-03
Fecha de conferencia:
2026-02-14
Ubicación:
Chennai, India
Ediciones:
7
Vistas: 14489   Seguidores: 0   Asistentes: 3
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45,0 / 100
Puesto n.º 2.857 de 5.694 congresos · 51% superior

N.º 316 de 741 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
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Ediciones celebradas (20%)
56
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10
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35

Datos utilizados: Ediciones documentadas: 7 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

SAIM 2026 (International Conference on Soft Computing, Artificial Intelligence and Machine Learning) is an academic conference held in Chennai, India on 2026-02-14. The paper submission deadline is 2026-01-24 (extended). Acceptance notifications are sent on 2026-02-03.

7th International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2026) February 14 ~ 15, 2026, Chennai, India https://acsit2026.org/saim/index Scope 7th International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing, Machine Learning Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence, Soft Computing, Machine Learning. Topics of Interest SAIM 2026 invites submissions on all areas of Artificial Intelligence, Machine Learning, and Soft Computing, including but not limited to: • Foundations of Artificial Intelligence • Machine Learning Theory, Optimization and Algorithms • Deep Learning Architectures and Training Techniques • Reinforcement Learning and Decision Making • Probabilistic Modeling and Bayesian Methods • Trustworthy, Explainable and Interpretable AI • Fairness, Accountability, Transparency and Ethics in AI • Causality in Machine Learning • Continual, Lifelong and Transfer Learning • Multimodal Learning and Foundation Models • Generative AI (Text, Image, Audio, Video) • Autonomous Agents and Multi Agent Systems • Computer Vision and Pattern Recognition • 3D Vision, Scene Understanding and Reconstruction • Vision Language Models • Natural Language Processing and Large Language Models • Information Retrieval, Search and Web Intelligence • Knowledge Representation, Reasoning and Knowledge Graphs • Conversational AI and Dialogue Systems • Bioinformatics, Computational Biology and Biomedical AI • AI for Healthcare, Precision Medicine and Medical Imaging • Neurosymbolic and Cognitive Computing • AI for Scientific Discovery, Simulation and Modeling • Data Mining, Big Data Analytics and Scalable ML • Data Visualization and Exploratory Analysis • Social Network Analysis and Computational Social Science • E-commerce, FinTech and Smart Economy Applications • AI for Climate Science, Sustainability and Smart Cities • Distributed, Parallel and High Performance AI Systems • Edge AI, TinyML and Embedded Intelligence • Neuromorphic and Morphic Computing • AI Optimized Hardware and Accelerators • Nano/Micro Systems for Intelligent Computing • Soft Computing Theory and Applications • Fuzzy Logic, Fuzzy Systems and Rough Sets • Evolutionary Computing, Swarm Intelligence and Optimization • Hybrid Intelligent Systems • Robotics, Autonomous Systems and Intelligent Control • Human Robot Interaction and Embodied AI • Cyber Physical Systems and Intelligent Networks • AI Security, Privacy and Adversarial Machine Learning • Robustness, Safety and Reliability of AI Systems • Quantum Machine Learning • Benchmarking, Evaluation and Reproducibility in AI • AI for Creativity, Art, Media and Cultural Analytics Paper Submission Authors are invited to submit papers through the Submission System by January 24, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT) series (Confirmed). Selected papers from SAIM 2026, after further revisions, will be published in the special issue of the following journals • International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) • International Journal on Soft Computing (IJSC) • International Journal of Artificial Intelligence & Applications (IJAIA) • Advances in Vision Computing: An International Journal (AVC) • Machine Learning and Applications: An International Journal (MLAIJ) Important Dates • Submission Deadline : January 24, 2026 • Authors Notification : February 03, 2026 • Registration & Camera-Ready Paper Due : February 09, 2026 Contact Us Here's where you can reach us : [email protected] or [email protected] Submission URL: https://acsit2026.org/submission/index.php
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CSoft Computing2.5Springer1432-7643
Applied Soft Computing7.8Elsevier1568-4946
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