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 Webinars
Event Summary: Join us for a session with INNS Founding President and pioneer of computational neuroscience and neural networks, Dr. Stephen Grossberg. The event will open with a host-streamed screening of Dr. Grossberg’s invited lecture from the MIT SilverMinds symposium, "Overview of My Life in Science," detailing his scientific journey, discoveries, and the cultural landscape of neural modeling since 1957. Following the video presentation, Dr. Grossberg will join the audience live for an open Q&A. Register NowSpeaker Bio: Steve Grossberg introduced the neural network paradigm for modeling how our brains make our minds when he was a 17-year-old Dartmouth College freshman in 1957, as well as the main equations that are still used to do so. With over 100 collaborators, he has continued to the present time to discover and develop models of the main processes whereby our brains make our conscious minds in healthy individuals and clinical patients, including how, where in our brains, and why from a deep computational perspective, we can consciously see, hear, feel, and know about objects and events in a rapidly changing world that is filled with unexpected events. See sites.bu.edu/steveg for almost 600 downloadable archival articles that develop neural network models of these processes and use them to explain and simulate lots of psychological and neurobiological data. In addition to his scientific work, Grossberg was:
These events triggered the founding of other societies, journals, and conferences. Grossberg has also written two self-contained and non-technical books to provide unifying summaries of these personal and scientific results:
Catch Up on Our Latest WebinarJonathan R. Wolpaw:
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Enterprise-wide AI Risk Management (EW-AiRM): A Practical Framework for Managing AI Risks Across Organisations
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Machine Unlearning for AI Safety: From Science to PracticeWatch here |
TiRex: Closing the Gap Between Recurrent and In-Context LearningWatch here |
A complete listing of all previous webinars can be found in the INNS Webinar Series Archive.
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