Artificial Intelligence and Big Data for Automotive Advances


ORGANIZED BY

Emma Frosina

Thomas Chen

Academy for Mathematics, Science, and Engineering


ABSTRACT

As big data and artificial intelligence continue to become more prevalent in a wide variety of scientific fields, they have provided insights that were largely unattainable using conventional methods. For research within the automotive industry, this has been especially revealing, as applications from remote sensing for autonomous cars to deep learning for energy use optimization have been deployed in the real world. In this special session, we facilitate a discussion regarding this very important new developing trend within the field and speculate about its future applications for social and humanitarian good.


TECHNICAL SPONSOR


IEEE Instrumentation and Measurement Society
Italy Section
Italy Section SYSC Chapter
Italy Section PE Chapter
Italy Section IM Chapter
Italy Section EMB Chapter
Italy Section SEN Chapter


FINANCIAL SPONSOR


CeR ITC


With the Patronage of


University of  Emilia-Romagna
Università di Bologna
Unimore
Università degli studi di Parma
Università degli studi di Ferrara
unisannio
aimsea
inrim
gmee
gmmt
ati
aimsea


Sponsored By


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Sensors
Energies
Setel
Setel