Join us next week for a free seminar on recent developments in artificial intelligence (AI) technology, including the machine learning model behind DALL.E 2, ChatGPT, and Meta’s new Segment Anything Model (SAM).
Hosted by Brock University Graduate School of Mathematics Students (GRAMSS) as part of a series of seminars, the event features Eifen Li, Assistant Professor in the Department of Biological and Computer Sciences at Brock University and Canadian Research Chair for Machine Learning in Biomedical Data. A presentation will be given by Mr. Chemistry.
Li’s talk will provide a comprehensive review of recent developments in advanced AI techniques over the last decade, especially the last two years.
Various AI learning paradigms and architectures are introduced, including:
- generative models (algorithms that can learn from existing data to generate new data)
- Attention models (algorithms that can tailor information relevant to a particular task)
- transfer learning (algorithms that can transfer knowledge from one domain to another)
- Self-supervised learning (algorithms that can learn themselves)
- generalist models (algorithms that can perform multiple tasks)
- Co-evolution of data models (algorithms that use good results to iteratively improve)
Yifeng Li, Assistant Professor in the Department of Biological and Computer Sciences at Brock University and Canadian Research Chair of Machine Learning for Biomedical Data Science, said:
“These models are the basis for the well-known artificial intelligence system DALL.E 2, commonly used to generate digital art images. ChatGPT chatbot; SAM used to select and crop objects from within images will be,” Li said.
As part of his presentation, Li will share insights on trends in AI research in the coming years. He is a bioinformatics expert. Bioinformatics is an emerging research field that uses software tools and methods to uncover patterns embedded in large, complex biological data sets. His recent research projects include harnessing AI for drug discovery, using AI for biomedical imaging, and conversational AI for healthcare applications.
Li has authored three AI-related foundational courses at Brock and also teaches COSC 5P77 Probabilistic Graphical Models and Neural Generative Models, COSC 5P83/4P83 Reinforcement Learning, and BIOL 3P06/5V80: Biomedical Data Science.
The session “Recent Advances in Artificial Intelligence” will be held on Tuesday, April 18, from 1:00 to 2:00 pm at MCH 313, Mackenzie Chong Complex on the Block. Presentations can also be viewed live from Microsoft Teams. Free coffee and cookies will be provided for direct participants.
All Brock University graduate and undergraduate students and faculty are welcome to attend.
Go to GRAMSS Instagram and Twitter Learn about upcoming seminars and how graduate students can participate as part of the executive team in society.
