2025 2nd Symposium on Big Data, Neural Networks, and Deep Learning (BDNNDL 2025) provides a premier forum for the presentation of new advances and research results in the fields of Big Data, Neural Networks, and Deep Learning. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world.

The topics of interest for submission include, but are not limited to:

· computational neuroscience
· connectionist theory and cognitive science
· mathematical modeling of neural systems
· neurodynamic analysis
· neurodynamic optimization
· adaptive dynamic programming
· embedded neural systems
· probabilistic and information-theoretic methods
· principal and independent component analysis
· hybrid intelligent systems
· supervised learning
· unsupervised learning
· reinforcement learning
· deep learning
· brain imaging
· neural information processing
· neuroinformatics
· bioinformatics
· support vector machines
· kernel methods
· autonomous mental development
· data mining
· pattern recognition
· time series analysis
· image and signal processing
· robotics
· control systems
· telecommunications
· transportation systems
· intrusion detection and fault diagnosis
· hardware implementation
· financial engineering
· business intelligence
· real-world applications