Important Dates

Submission:        May 30th, 2026

Notification:       June 30th, 2026

Camera-ready:    July 30th, 2026

Early Bird Registration:   July 30th, 2026

Conference:       September 2nd ‐ 4th, 2026






Paper submission





We invite authors to submit high-quality full papers reporting original and novel research results on all the above topics. Papers must be written in Spanish, Portuguese or English, unpublished and not submitted elsewhere. Full papers must be formatted as the standard IEEE double-column conference template. Maximum 6 pages are allowed for each paper, including all illustrations and references.










Submit your paper through Easychair here










Download the call for papers here










Topics (but not limited to)





Neural Networks and Learning Machines





Cognitive models Neural control and planning Self-organization Deep learning Neural networks theory Bayesian networks Bayesian learning and approximate inference Kernel methods Generative models Information theoretic learning Reinforcement learning Feature extraction and manifold learning Data mining Pattern recognition and machine learning





Evolutionary and Swarm Algorithms





Memetic and collective intelligence Artificial Immune Systems Metaheuristics and hyper-heuristics Ant colony for neural networks optimization Bio-inspired computing and Evolutionary algorithms Chaos theory in genetic algorithms Genetic fuzzy systems Genetic neural systems Multi-objective optimization Hybrid optimization techniques Hybrid intelligent systems for pattern recognition Nature-inspired smart hybrid systems Neuro-Fuzzy-Genetic approaches Neural Agents





Fuzzy Sets and Systems





Fuzzy control, robotics, sensors, hardware, and architectures Fuzzy data analysis Fuzzy clustering Classification and pattern recognition Fuzzy systems with big data and cloud computing Fuzzy systems design and optimization Fuzzy decision analysis Fuzzy logic and its application in Industrial engineering Fuzzy modelling, identification and fault detection Fuzzy information processing Fuzzy web engineering Fuzzy image, speech and signal processing Fuzzy sets and soft computing in social sciences Fuzzy logic applications in civil engineering, geographical information systems





Other Applications of Computational Intelligence





Generative AI LLM models Industry 4.0 Robotics Internet of things Tiny Machine Learning Artificial Intelligence Biomedical engineering applications Image and signal processing Natural language processing Big data and scalable algorithms/applications Smart grid applications Intelligent transportation Smart traffic system operations Bioinformatics Brain computer interfaces Neurosciences Neural hardware Education





Tiny ML and Edge AI (New Special Track!)





TinyML: Algorithms, Architectures, and Applications
Enabling Technologies for Edge AI Deployment
Hardware-Software Co-Design for Edge Intelligence
Security, Privacy, and Trust in Edge AI Systems
Low-Power Machine Learning for Resource-Constrained Devices
Emerging Trends in On-Device AI and Federated Learning