Speaker: Yushun Dong Date: Nov 1, 2:15 – 3:05 pm Abstract: Graph learning algorithms have been increasingly deployed in a plethora of real-world applications, such as epidemic analysis, healthcare, and financial analysis. Nevertheless, there has been a rise in...
Speaker: Maya Ackerman Date: Oct 25, 2:15 – 3:05 pm Abstract: What happens when machines become creative? How did creative machines evolve from their beginnings in academia to their industry proliferation? While this shift has sparked excitement, it has also...
Speaker: Zhe He Date: Oct 18, 2:15 – 3:05 pm Abstract: Over the past two decades, data science and artificial intelligence (AI) have significantly transformed biomedical research and healthcare. The growing availability of large-scale data, such as electronic...
Speaker: Liang Zhao Date: Oct 4, 2:05pm – 3:15pm Abstract: Graphs are ubiquitous data structure that denotes entities and their relations, such as social networks, citation graphs, and neural networks. The topology of graphs is discrete data which prevents it...
Speaker: Shangqian Gao Date: Apr 3, 11:45am–12:45pm Abstract: Recently, Machine Learning and Artificial Intelligence have achieved significant success in various domains, such as playing GO, ChatGPT, recommendation systems, autonomous driving, etc. However, the model...
Speaker: Shibo Li Date: Apr 1, 11:45am–12:45pm Abstract: AI has emerged as the most transformative and revolutionary technique, reshaping many aspects of our lives. Its intersection with science, particularly physics, has opened new avenues for understanding our world...