Search for tag: "networks"

Quantum Wrapper Networking (IPC 2021)

From  Luis El Srouji 0 likes 0 plays 0  

Universal Design for Learning

From  Erica Bender 0 likes 0 plays 0  

Functional self-reconfiguration processes in neuronal networks

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…

From  Luis El Srouji 0 likes 11 plays 0  

15th Joint Math/Stat Colloquium by Michael Bronstein (Oxford): Physics-inspired Learning on Graphs

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…

From  Naoki Saito 0 likes 15 plays 0  

HDE 131 Spring 2023, Lecture 3.1

HDE 131 Spring Lecture on Social Relationships & Thriving

From  Lindsey Partington 0 likes 163 plays 0  

HDE 131 Lecture 3.1 Part I

From  Maria Usacheva 0 likes 140 plays 0  

HDE 131 Lecture 1.4 Part I

Research Methods

From  Maria Usacheva 0 likes 172 plays 0  

Hierarchical Training for Distributed Deep Learning over Bandlimited Networks - Siyu Qiu

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…

From  Philip Young 0 likes 5 plays 0  

Quantum Wrapper Networking - Sandeep Kumar Singh

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…

From  Philip Young 0 likes 8 plays 0  

DC-20 GHz UWB Radar System with Software-Defined Transmitter and Receiver - Stephen Pancrazio

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…

From  Philip Young 0 likes 17 plays 0  

Lecture 13 (Second Part) Lecture 15 (First Part)

From  John Rundle 0 likes 21 plays 0  

PHYEPS30 Lecture 13 (First Part)

From  John Rundle 0 likes 10 plays 0  

DiseaseSpreadModels_Lecture2_all

Quantitative Approaches for Modeling COVID-19 and Other Pandemics

From  Hye Jin Eum 0 likes 8 plays 0  

PHYEPS30_Lecture_1_First_Part_Summary

From  John Rundle 0 likes 16 plays 0  

Vector Symbolic Architectures

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…

From  Luis El Srouji 0 likes 144 plays 0  

Meeting 5-18-21: Neural Engineering Framework

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…

From  Luis El Srouji 0 likes 20 plays 0