This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...
Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...
Deep generative model of macrophage immune response for hepato-intestinal tumor therapy optimization
(a) the use of a hierarchical, variational encoder to encode multimodal (multiple types of) data through modality-specific encoders (graph attention network [GAT], convolutional neural network ...
Generative AI creates content, while agentic AI executes tasks. The two technologies can work separately, but are increasingly combined to mix content creation with independent decision-making.
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