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SUMMARY:Generative AI
DESCRIPTION:Generative AI refers to a category of artificial intelligence models that are designed to generate new content\, such as text\, images\, audio\, or other types of data. Probably the best known example of generative AI is ChatGPT\, the fastest consumer application to hit 100 million monthly active users. Generative AI models use machine learning algorithms to learn patterns and structures from existing data and then produce new data that is similar in style or content to what they have been trained on.\nIn this presentation\, I will start with a tutorial on various approaches to generative AI. Next I will talk about projects in our group at the TU Delft on deep generative models. I will briefly present novel kinds of deep generative models that we are developing in our team. Next I will explain how we are designing such models for rainfall nowcasting\, where we integrate physical laws into the deep generative models. At last\, I will talk various AI related initiatives that our team is involved in.\nSpeaker(s): Dr. Justin Dauwels\nVirtual: https://events.vtools.ieee.org/m/429906
URL:https://yp.ieee.org/event/generative-ai/
LOCATION:Virtual: https://events.vtools.ieee.org/m/429906
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