The annual International Conference on Machine Learning, Neural Networks and Computer Software (MLNNCS) is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.
Each year, MLNNCS attracts researchers and practitioners from the academia, industry and government from across the world. The audience includes leading data scientists and professors, entrepreneurs, developers, talented young researchers/students and other thought leaders from major vendors and academia.

MLNNCS 2026 will take place in Jeju Island, South Korea from August 14–16, 2026. As one of South Korea’s most vibrant and charming tourist destinations, Jeju Island seamlessly blends traditional local culture with natural scenery and modern leisure development. Surrounded by clear blue seas and embraced by unique volcanic landscapes, Jeju captivates millions of visitors all year round with its fresh coastal delicacies, distinctive island architecture, and rich folk customs. From the majestic Hallasan Mountain and breathtaking coastal cliffs to peaceful rural villages and relaxing seaside resorts, Jeju Island stands as an unmissable travel and conference destination.

List of Topics

• Track 1: Machine Learning

  Theoretical Foundations of Machine Learning

  Supervised Learning

  Unsupervised Learning

  Reinforcement Learning

  Deep Learning

  Applications of Machine Learning

  Data Management and Processing

  Natural Language Processing (NLP)

  Human-Computer Interaction in Machine Learning

  Track 2: Optical Neural Networks

  Optical Engineering
  Optical signal generation
  Parallel Computing of Neural Networks
  Optical computing
  Neural Network Algorithms and Models
  Neuroscience
  Optical Nonlinear Unit
  Optical Materials

  Track 3: Artificial Intelligence and Neural Networks

  Theory and Foundations of Neural Networks

  Novel Neural Network Architectures

  Generative Networks

  Adaptation and Transfer Learning

  Zero-Shot Learning

  Lifelong learning

  Knowledge Distillation

  Representation Learning

  Self-Supervised Learning

  Contrastive Learning

  Reinforcement Learning

  Bayesian Networks

  Graph neural networks

  Track 4: Computer Technologies

  Computer System Architecture
  Computer Hardware

  Operating Systems
  Artificial Intelligence and Machine Learning
  High-Performance Computing
  Cloud and Edge Computing
  Quantum Computing
  Cybersecurity and Cryptography

  High Performance Computing
  Parallel and Distributed Computing
  Cloud Computing and Virtualization
  Computational Science
  Database and Data Management
  Pattern Recognition
  Data Science

  Track 5: Optical Sensors and the Internet of Things

  Photodetectors
  Optoelectronic hybrid integrated chip
  Wireless or wired communication
  Optimizing communication networks
  Topology
  Optical Sensors and Cloud Computing
  Distributed sensor networks

Contact

Contact Us

Ms. Zoey Yan

The secretary will collect your paper contributions and respond to your queries. If you have any questions, please feel free to contact the conference secretary.

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E-mail

mlnncs@hotmail.com

Normally, your mail will be replied within 3 working days. Urgently request, please mark your mail as Emergency subject.