7th International Conference on Machine Learning and Soft Computing (MLSC 2026)

7th International Conference on Machine Learning and Soft Computing (MLSC 2026)
February 27 ~ 28, 2026, Vancouver, Canada
https://acsty2026.org/mlsc/index
Scope
7th International Conference on Machine Learning and Soft Computing (MLSC 2026) invites high quality research contributions that advance the theory, algorithms, and applications of machine learning and soft computing. As intelligent systems continue to shape science, engineering, and society, MLSC 2026 provides a premier international forum for researchers, practitioners, and innovators to present breakthroughs, exchange ideas, and explore emerging challenges across learning algorithms, intelligent optimization, and computational intelligence.
We welcome original research papers, visionary ideas, industrial case studies, and system demonstrations.
Topics of interest include, but are not limited to, the following
Machine Learning Foundations & Algorithms
• Foundations of machine learning
• Supervised, unsupervised, and semi supervised learning
• Clustering, dimensionality reduction, and representation learning
• Probabilistic models and Bayesian learning
• Reinforcement learning and sequential decision making
• Evolutionary, genetic, and bio inspired learning algorithms
• Ensemble learning and model aggregation
• Inductive logic programming and symbolic learning
• Neuro symbolic and hybrid learning architectures
• Multi strategy and multi agent learning
• Automated knowledge acquisition and reasoning
• Explainable, interpretable, and trustworthy ML

Deep Learning & Neural Computation
• Deep neural networks and advanced architectures
• Generative AI and foundation models
• Multimodal learning (vision–language–audio)
• Graph neural networks and relational learning
• Continual, transfer, and meta learning
• Neural computing and biologically inspired models


Natural Language, Vision & Intelligent Perception

• Natural language processing and understanding
• Machine learning for information retrieval
• Computer vision, pattern recognition, and image/video analytics
• Perception based intelligent decision systems
• Multisensory and perceptual computing

Soft Computing Foundations & Techniques

• Fuzzy logic, fuzzy systems, and approximate reasoning
• Stochastic, probabilistic, and uncertainty aware computing
• Evolutionary computation and multi objective optimization
• Morphic computing and biologically inspired soft computing
• Soft computing for pattern recognition and intelligent decision making
• Intelligent Systems & Agent Based Computing

Intelligent software agents and architectures
• Multi agent systems and distributed intelligence
• Cognitive and integrated learning architectures
• Learning from instruction, demonstration, and interaction
• Human centered and interactive intelligent systems

Data Mining, Knowledge Discovery & Big Data Analytics

• Data mining theory, algorithms, and applications
• Social network analysis and mining
• Large scale data analytics and distributed ML
• Soft computing for Big Data and high dimensional data
• Visualization of patterns, models, and complex datasets

Optimization, Search & Evolutionary Intelligence

• Global optimization and heuristic search
• Multi objective evolutionary algorithms
• Swarm intelligence and nature inspired optimization
• Hybrid optimization frameworks combining ML and soft computing

Applications of ML & Soft Computing

• Bioinformatics, healthcare, and biomedical intelligence
• Robotics, autonomous systems, and intelligent control
• Finance, business intelligence, and decision support
• Smart environments, IoT, and cyber physical systems
• Computer graphics, animation, and creative AI
• Industrial, scientific, and engineering applications

Emerging Trends & Future Directions
• Responsible, ethical, and fair AI
• Green and energy efficient ML
• Quantum machine learning and quantum inspired soft computing
• Edge AI, TinyML, and on device intelligence
• Advances in explainability, safety, and robustness
Paper Submission
Authors are invited to submit papers through the conference Submission System by February 14, 2026 (Final Call). 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 MLSC 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 on Soft Computing (IJSC)
• Information Technology in Industry (ITII)
Important Dates
• Submission Deadline: February 14, 2026 (Final Call)
• Authors Notification: February 24, 2026
• Registration & camera - Ready Paper Due: February 25, 2026

Contact Us
Here's where you can reach us: [email protected] (or) [email protected]