I couldn't find the live stream of this workshop.
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It should be there tomorrow when our workshop starts. We'll post the specific link when we have it.
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The theme of the panel will be "Future directions at the intersection of artificial intelligence and neuroscience"
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What is your ideal data set for research in this field ? Does a similar data set already exist and, if not, what's missing ?
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Thanks for making this accessible for those of us who can't come in person ! Looking forward to the livestream

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DeepMind allegedly has a list of milestones necessary to create (artificial) intelligence. If you put together a list of milestones necessary to claim we understand (artificial and biological) intelligence, what items would be on that list?
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For starting graduate students, what field(s) within mathematics do you feel are underappreciated or underutilized for research in biological & artificial neural networks?
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Most of current work on AI/ML interface is targeting BCI , hence focused on decoding. Common notion is "Understanding the brain is not needed to predict". What new approaches are needed to be developed to actually understand, reverse engineer brain circuits?
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What kinds of experiments can we envision that will help us better understand the brain’s learning rules? AI and ML community seems to think genetic and molecular levels can be abstracted away, why is this? Is the concept of a neural code a worthwhile one?
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