Machine Learning, Deep Learning & Neural Networks
Machine Learning remains the foundation of AI progress. This session uncovers the latest advances in large-scale learning, model efficiency, and explainable intelligence.
Key Focus Areas:
- Transformer architectures and foundation models
- Federated and distributed learning
- Model compression and edge optimization
- Trustworthy and interpretable deep networks
