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. In 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. Speaker(s): Dr. Justin Dauwels Virtual: https://events.vtools.ieee.org/m/429906

Baltimore Section members, come join us with your families at Guilford Park Pavilion in Jessup, Maryland, for our annual picnic as we eat, socialize, and celebrate IEEE day (IEEE day actual observance is Oct 1). There will be burgers, hot dogs, and other treats. Look for the eNotice in your email shortly. Food will be served starting about 11:00 a.m. and continue until about 2:30 p.m. You are welcome to stay afterward since we have the pavilion until 8:00 p.m. The event is free to members and their families but registration is needed so that we know how much food to bring. Co-sponsored by: Baltimore Section Young Professionals and Women In Engineering Bldg: Guilford Park Pavilion, Guilford Park, 9900 Guilford Rd, Jessup, Maryland, United States, 20794