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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20240331T010000
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DTSTART:20241027T010000
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DTSTART;TZID=Europe/Rome:20240516T180000
DTEND;TZID=Europe/Rome:20240516T190000
DTSTAMP:20260512T095848
CREATED:20240513T092742Z
LAST-MODIFIED:20240513T100829Z
UID:37581-1715882400-1715886000@w3.lnf.infn.it
SUMMARY:Machine Learning: from mammal's brain to statistichal mechanics
DESCRIPTION:In the first part of the colloquium I will provide a gentle introduction to neural networks from a statistical-mechanics perspective. In this framework\, a bridge between biologically-inspired models and artificial models is highlighted and leveraged to improve our comprehension and mathematical control on these systems. In the second part\, I will show that consolidation and remotion mechanisms occurring in mammal’s brain during sleep can be recast into suitable machine-learning parameters and the hierarchical organisation of memories in the brain inspires a hierarchical architecture of layers in deep neural networks.
URL:/event/machine-learning-from-mammals-brain-to-statistichal-mechanics/
LOCATION:Aula Salvini
CATEGORIES:Seminari generali
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