7th International Conference on Machine Learning and Soft Computing (MLSC 2026)
February 27 ~ 28, 2026, Vancouver, Canada Hybrid -- Registered authors can present their work online or face to face. Scope & Topics 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 January 24, 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 (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from MLSC 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | January 24, 2026 | | Authors Notification | : | February 10, 2026 | | Final Manuscript Due | : | February 17, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to mlsc@acsty2026.org |
