AI and Machine Learning

Deep Learning

Deep Learning leverages multi-layer neural networks to analyze complex structured and unstructured data. Architectures such as CNNs, Transformers, graph neural networks, and diffusion models dominate modern AI systems. Applications include speech recognition, computer vision, autonomous vehicles, medical diagnostics, and generative AI. Ongoing innovations focus on efficiency, scalability, interpretability, and reducing computational cost. The growth of foundation models and large-scale pretraining continues to expand deep learning capabilities across industries.

• Convolutional Neural Networks (CNNs)
• Generative Deep Learning Models
• Graph Neural Networks (GNNs)
• Transformer Architectures & Attention Mechanisms