6th International Conference on AI, Machine Learningand Applications (AIMLA 2026)

Memo

6th International Conference on AI, Machine Learningand Applications (AIMLA 2026) March 21 ~ 22, 2026, Sydney, Australia https://www.ccnet2026.org/aimla/index Scope & Topics 6th International Conference on AI, Machine Learning and Applications (AIMLA 2026) serves as a premier global forum for presenting and exchanging the latest advances in Artificial Intelligence, Machine Learning, and their rapidly expanding range of real world applications. AIMLA 2026 brings together leading researchers, innovators, and industry practitioners to share breakthroughs in theory, algorithms, methodologies, and system level implementations that are shaping the future of intelligent technologies. The conference welcomes high impact contributions across all major areas of AI and ML spanning foundational research, applied innovations, and interdisciplinary developments. By fostering collaboration between academia and industry, AIMLA 2026 aims to provide a dynamic platform for discussing emerging challenges, exploring transformative ideas, and showcasing cutting edge progress that drives the next generation of intelligent systems. Topics of interest include, but are not limited to, the following: Foundations of AI & Machine Learning Machine Learning Theory & Optimization Statistical Learning & Generalization Probabilistic Modeling & Bayesian Methods Causality, Counterfactual Reasoning & Causal ML Trustworthy, Explainable & Interpretable AI (XAI) Fairness, Accountability & Ethics in AI Deep Learning & Representation Learning Deep Neural Architectures & Training Techniques Self Supervised, Semi Supervised & Weakly Supervised Learning Generative Models (GANs, Diffusion Models, VAEs) Foundation Models & Large Scale Pretraining Multimodal Learning (vision language, audio text, sensor fusion) Continual, Lifelong & Transfer Learning Natural Language Processing & Speech Technologies Large Language Models (LLMs) & Instruction Tuning Text Generation, Summarization & Reasoning Speech Recognition, Synthesis & Spoken Dialogue Systems Multilingual & Low Resource NLP Responsible & Safe Language Models Computer Vision & Perception Image/Video Understanding & Scene Analysis Vision Transformers & Diffusion Based Vision Models 3D Vision, Reconstruction & Robotics Perception Multimodal Vision Language Models Medical Imaging & Scientific Vision Applications Reinforcement Learning & Decision Making Deep RL, Offline RL & Safe RL Multi Agent Systems & Game Theoretic Learning Planning, Control & Sequential Decision Making RL for Robotics, Autonomous Systems & Real World Deployment Applied AI & Domain Specific Intelligence AI for Healthcare, Bioinformatics & Computational Biology AI for Finance, Climate, Sustainability & Energy AI for Education, Social Good & Public Policy Scientific Machine Learning & Physics Informed Models AI for Smart Cities, IoT & Cyber Physical Systems Robotics, Autonomous Systems & Embodied AI Robot Learning & Adaptive Control Embodied AI, Simulation & Digital Twins Human Robot Interaction & Assistive Robotics Autonomous Vehicles, Drones & Navigation Data Science, Knowledge Systems & Information Retrieval Large Scale Data Mining & Knowledge Discovery Knowledge Graphs, Semantic Reasoning & Ontologies Information Retrieval, Search & Recommender Systems Vector Databases & Embedding Based Retrieval AI Systems, Hardware & Scalability Distributed & Parallel Training Systems Efficient AI: Model Compression, Quantization & Pruning Edge AI, TinyML & On Device Learning Neuromorphic Computing & AI Accelerators Software/Hardware Co Design for ML Workloads Emerging Topics & Frontier Research AI Safety, Alignment & Robustness Adversarial ML & Secure AI Systems Synthetic Data Generation & Data Centric AI Human AI Collaboration & Cognitive Modeling Autonomous Agents & Multi Modal Reasoning Benchmarking, Evaluation & Reproducibility in AI Paper Submission Authors are invited to submit papers through the conference Submission System by January 17, 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 AIMLA 2026, after further revisions, will be published in the special issues of the following journals Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Artificial Intelligence & Applications (IJAIA) International Journal on Soft Computing (IJSC) International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) Advances in Vision Computing: An International Journal (AVC) Important Dates: Submission Deadline : January 17, 2026 Authors Notification : February 10, 2026 Registration & Camera-Ready Paper Due : February 17, 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. 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