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

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

Category AIMLA 2026

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

Venue/Country: Australia

Updated: 2026-01-13 20:07:29 (GMT+9)

Call For Papers - CFP

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 : aimlaccnet2026.org or aimlaconfgmail.com