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Within the general excitement about artificial intelligence, there has been special interest in the technology's application to discovery of scientific knowledge. Like AI itself, this subfield has a long history and many successes, but also outstanding challenges. In this talk, I focus on two problems that have received considerable attention: discovery of numeric equations and construction of...
Inferential methods attempt to understand data and make predictions about the word by explicitly formulating generative models and fitting them. By this process, these methods are able to provide insight on mechanisms, and optimally deal with uncertainty and separate structure from noise. Probabilistically, all the information relevant to an inference problem is captured by the posterior...
I will first give a quick summary of Learning from Data Streams, and of Continual Learning, including some recent work on Online Continual Learning. I will give an overview of the TAIAO project, which stands for "Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science". Finally, I will quickly present the works of my current and recently finished PhD...
