Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Mathematics in machine learning applications
- Statistical methods for AI development
- Algorithms for machine learning optimization
- Mathematical foundations of AI techniques
- Data analysis using applied mathematics
- Modeling uncertainty in machine learning
- Mathematical modeling of neural networks
- Applications of linear algebra in AI
- Machine learning algorithms in practice
- Mathematical techniques for big data
- Optimization methods in machine learning
- Mathematical modeling in robotics
- Applications of calculus in AI
- Mathematical approaches to deep learning
- Statistical learning theory applications
- Mathematics for natural language processing
- Recent trends in AI and mathematics
- Interdisciplinary approaches to AI development
- Mathematical models for predictive analytics
- Challenges in mathematics for AI
All papers must be original and not previously published or submitted elsewhere.
