INNS Webinar SeriesWelcome to the INNS Webinar Series. This collection of webinars serves as a virtual learning center for students and professionals to learn and engage in research activities related to neural networks. The portal features lectures from our Webinar Series. You are invited to attend the webinars live, held bi-monthly. Upcoming WebinarsRegister hereAbstract: AI today can pass the Turing test and is in the process of transforming science, technology, humans, and society. Surprisingly modern AI is built out of two very simple and old ideas, rebranded as deep learning: neural networks and gradient descent learning. The storage of information in neural networks by gradient descent is distributed or "holographic", and since Dennis Gabor invented holography, I am particularly honored to be a recipient of the prize that bears his name. I will describe several applications of AI to problems in biomedicine developed in my laboratory, from the molecular level to the patient level, using omic data, imaging data, and clinical data. Examples include the analysis of circadian rhythms in gene expression data, the identification of polyps in colonoscopies, and the prediction of post-operative outcomes. I will discuss the opportunities and challenges for developing, integrating, and deploying AI in the first AI-driven hospitals of the future and present two frameworks for addressing some of the most pressing societal issues related to AI research and safety. Catch Up on Our Latest WebinarJoey Tianyi Zhou
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![]() The Critical Role of AI in Learning Analytics and Assessment in the Future of Education![]() ![]()
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INNS Annual Lecture
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A complete listing of all previous webinars can be found in the INNS Webinar Series Archive.
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