PORTALE DELLA DIDATTICA

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  KEYWORD

ELECTRONIC DESIGN AUTOMATION - EDA

Trusted data collecting ecosystem for Machine Learning scenarios

azienda Tesi esterna in azienda    


Parole chiave INTERNET OF THINGS, MACHINE LEARNING, NEURAL NETWORKS

Riferimenti EDOARDO PATTI

Riferimenti esterni Alessandro Aliberti (alessandro.aliberti@polito.it)

Gruppi di ricerca DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ELECTRONIC DESIGN AUTOMATION - EDA, Energy Center Lab, GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA

Tipo tesi AZIENDALE, RICERCA

Descrizione Machine Learning, such as Neural Networks, requires a huge amount of data. The datasets must not only be large but also reliable and representative. Often, trust and robust datasets are scarce in research and industry scenarios. Today, more than ever, there is a need to build an open ecosystem for collecting robust and reliable data. The aim is to create a digital platform for community development based on the free exchange of data from sensors (i.e. real and simulated).

Within this framework, the student will analyse the literature solution to explore the state of the art of methodologies. In addition, the student will take part in the design and development of this platform (or part of it) and will develop some Neural Network models to test the data collected.

Conoscenze richieste Python, WEB Programming


Scadenza validita proposta 15/02/2023      PROPONI LA TUA CANDIDATURA




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