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Looking into the black box [McGovern Institute]
July 21, 2023
Recent advances give theoretical insight into why deep learning networks are successful
By Sabbi Lall, McGovern Institute
Deep learning systems are revolutionizing technology around us, from voice...
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Please check back soon for upcoming CBMM Events.
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Karolina Marciniak: Intuitive Physics
Associated Research Thrust(s):
智东西早报:高通推首款7nm电脑芯片 首款国产量子计算机 ...:2021-12-7 · 原标题:智东西早报:高通推首款7nm电脑芯片首款国产量子计算机控制系统诞生「智东西」早报第1108期2021.12.07周五#今日要闻#1、高通推出全球首款7nm电脑芯片骁龙8cx智东西12月6日夏威夷报道,高通推出全球首款7nm笔记本电脑芯片骁龙 ...
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CBMM Memo No:
111
S. Madan, Henry, T., Dozier, J., Ho, H., Bhandari, N., Sasaki, T., Durand, F., Pfister, H., and Boix, X., “On the Capability of Neural Networks to Ge...
CBMM Memo No:
107
T. A. Poggio and Cooper, Y., “Loss landscape: SGD has a better view”. 2023.
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110
M. Vuyyuru Reddy, Banburski, A., Pant, N., and Poggio, T., “Biologically Inspired Mechanisms for Adversarial Robustness”. 2023.
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Functional Imaging of the Human Brain: A Window into the Organization of the Human Mind
[The video is missing the first few minutes of the talk due to technical difficulties.]
Nancy Kanwisher, MIT
Nancy Kanwisher, MIT
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