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    AIMLA 2026 - 6th International Conference on AI, Machine Learning and Applications (AIMLA 2026)

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    Website https://www.ccnet2026.org/aimla/index | Want to Edit it Edit Freely

    Category AIMLA 2026

    Deadline: January 17, 2026 | Date: March 21, 2026-March 22, 2026

    Venue/Country: Australia

    Updated: 2026-01-13 13:27:13 (GMT+9)

    Call For Papers - CFP

    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) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field

    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 : aimlaatccnet2026.org or aimlaconfatgmail.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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