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Abstract: Flexible function is essential for the brain to cope with varying environments, changing quality of sensory information as well as context dependency. This requires organized communication…
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This is a video recording of the 15th Joint Math/Stat Colloquium (also a part of the MADDD seminar series) by Prof. Michael Bronstein on "Physics-inspired Learning on Graphs."Abstract: The…
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HDE 131 Spring Lecture on Social Relationships & Thriving
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Distributed deep learning (DL) plays a critical role in many wireless Internet of Things (IoT) applications including remote camera deployment. This work addresses three practical challenges in…
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Abstract: Classical Internet employs buffering, switching, and routing functionality to send information over thousands of kilometers of under-sea fiber-optical cables, while exposing the data to…
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Abstract: We demonstrate an ultra-wideband impulse radar system operating from DC-11 GHz with a software-defined pulse transmitter and programmable receiver. Critically, the use of a software-defined…
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Quantitative Approaches for Modeling COVID-19 and Other Pandemics
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Luis El Srouji leads a discussion on Vector Symbolic Architectures (VSA). VSAs are a mathematical framework in which basis vectors encode some attribute (color, weight, etc) while some binding…
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Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight…
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