Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Explores style transfer, image translation, self-supervised learning, video prediction, and image description generation using deep learning techniques.
Explores environmental computational science and earth observation using machine learning models for accurate monitoring of Earth through various data sources.
Delves into Big Data in neuroscience, analyzing large datasets and addressing challenges in data organization, standardization, integration, and visualization.
