12th International Conference on Artificial Intelligence and Soft Computing (AIS 2026)

Memo

12th International Conference on Artificial Intelligence and Soft Computing (AIS 2026) July 25 ~ 26, 2026, Toronto, Canada https://ais2026.org/index Scope The 12th International Conference on Artificial Intelligence and Soft Computing (AIS 2026) will provide an excellent international forum for sharing knowledge, exchanging ideas, and presenting the latest advances in the theory, methodology, and applications of Artificial Intelligence and Soft Computing. As AI continues to evolve through breakthroughs in machine learning, generative models, intelligent systems, and computational intelligence, AIS 2026 aims to highlight both foundational research and cutting edge innovations that are shaping the future of intelligent technologies. The conference seeks significant contributions across all major areas of Artificial Intelligence and Soft Computing, spanning theoretical developments, algorithmic advances, system architectures, and real world applications. By providing a platform for interdisciplinary dialogue and high impact research dissemination, AIS 2026 supports the continued growth of the AI community and encourages the development of intelligent systems that address complex scientific, industrial, and societal challenges.   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 following areas, but are not limited to the topics listed. Topics of interest include, but are not limited to, the following Artificial Intelligence AI Algorithms & Intelligent Decision Making Knowledge Representation, Reasoning & Cognitive Architectures Probabilistic Reasoning, Bayesian Models & Uncertainty Quantification Multi Agent Systems, Agentic AI & Autonomous Decision Making Reactive, Distributed & Self Organizing AI Systems Machine Learning & Data Driven Intelligence Machine Learning (Supervised, Unsupervised, Semi Supervised) Deep Learning Architectures, Optimization & Training Dynamics Foundation Models (LLMs, VLMs, Multimodal Models) Self Supervised, Contrastive & Representation Learning Continual, Lifelong & Online Learning Computational Learning Theory Trustworthy ML: Robustness, Safety, Fairness & Explainability Efficient ML: Quantization, Distillation & Sparse Models   Generative AI & Creative Intelligence Diffusion Models, GANs, VAEs & Generative Transformers Text to Image, Text to Video, Text to 3D & Multimodal Generation Synthetic Data Generation & Evaluation Creative AI for Art, Music, Design & Simulation Generative Agents & Autonomous Creative Systems Natural Language Processing & Speech Technologies Large Language Models (LLMs) & Instruction Tuned Models Text Understanding, Summarization, QA & Information Extraction Dialogue Systems, Conversational AI & Agentic NLP Speech Recognition, Speech Synthesis & Spoken Dialogue Multilingual NLP & Low Resource Language Modeling NLP for Reasoning, Planning & Knowledge Integration Computer Vision, Image & Video Intelligence Computer Vision, Scene Understanding & Object Recognition Vision Language Models (VLMs) & Multimodal Perception Image Processing, Image Understanding & Pattern Recognition Video Understanding, Action Recognition & Video AI 3D Vision, NeRFs, 3D Reconstruction & Spatial AI Biomedical Image Analysis & Medical Vision AI   Robotics, Autonomous Systems & Mechatronics Autonomous Robotics, Planning & Navigation Robot Perception, Manipulation & Control Human Robot Interaction & Cognitive Robotics Soft Robotics & Bio Inspired Robotics Mechatronics & Intelligent Automation Embodied AI & Simulation Driven Robotics Soft Computing & Computational Intelligence Fuzzy Logic, Fuzzy Systems & Fuzzy Control Evolutionary Computing, Genetic Algorithms & Swarm Intelligence Rough Sets, Granular Computing & Morphic Computing Hybrid Intelligent Systems (Neuro Fuzzy, Neuro Symbolic, etc.) Soft Computing Theory & Applications Reinforcement Learning & Decision Making Reinforcement Learning (RL) & Deep RL RLHF (Reinforcement Learning from Human Feedback) World Models & Model Based RL Multi Agent RL & Cooperative/Competitive Learning RL for Robotics, Games & Autonomous Systems   Data Science, Mining & Knowledge Discovery Data Mining, Knowledge Discovery & Big Data Analytics Graph Machine Learning, GNNs & Graph Transformers Knowledge Graphs, Semantic Reasoning & Web Intelligence Data Visualization, Interactive Analytics & Explainability ML Pipelines, MLOps & Data Centric AI Bio Inspired & Bio Computing Bioinformatics, Computational Biology & Genomic AI Neural Computation & Brain Inspired AI Nano Computing, Micro Systems & Bio Digital Interfaces AI for Healthcare, Precision Medicine & Drug Discovery AI Systems, Optimization & Engineering ML Compilers, Accelerators & Optimization (XLA, TVM, Triton) Distributed Training, Scaling Laws & Large Model Infrastructure Edge AI, TinyML & On Device Intelligence AI Systems Engineering & Deployment Architectures Energy Efficient AI & Green Machine Learning AI Safety, Ethics, Alignment & Governance   AI Safety, Alignment & Risk Mitigation Adversarial ML, Robustness & Secure AI Explainability, Transparency & Accountability Fairness, Bias Mitigation & Responsible AI Policy, Governance & Societal Impacts of AI Emerging AI Domains & Future Directions Quantum Machine Learning & Quantum AI AI for Science (Physics, Chemistry, Biology, Climate) AI for Telecommunications, Networking & 6G Systems AI for Smart Cities, IoT & Ambient Intelligence AI for Industry 4.0, Manufacturing & Automation AI Driven Simulation, Digital Twins & Virtual Worlds Paper Submission Authors are invited to submit papers through the conference Submission System by May 02, 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 AIS 2026, after further revisions, will be published in the special issue of the following journal. International Journal of Soft Computing (IJSC) International Journal of Artificial Intelligence & Applications (IJAIA) Information Technology in Industry (ITII) Important Dates Submission Deadline: May 02, 2026 Authors Notification: May 23, 2026 Registration & Camera-Ready Paper Due: May 30, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.