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Memristor-based neuromorphic systens

01PKBRV

A.A. 2019/20

Course Language

Inglese

Course degree

Doctorate Research in Ingegneria Elettrica, Elettronica E Delle Comunicazioni - Torino

Course structure
Teaching Hours
Lezioni 20
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Corinto Fernando Professore Ordinario ING-IND/31 20 0 0 0 6
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2019/20
PERIOD: MAY - JUNE - JULY Memristor potential goes far beyond the attractive possibility of designing a computer where saving at shut down and rebooting at start up are unnecessary or a mobile phone where no battery charging is needed, including one of the greatest technology challenges, i.e. mimicking the functionalities of the human brain. To date, memristor represents the latest technology breakthrough to build electronics devices with characteristics that show an intriguing resemblance to the brainʼs synapses. The proposed course aims to address a novel area of research that makes use of a disruptive technology as the fundamental bio-inspired computation element, the memristor
PERIOD: MAY - JUNE - JULY Memristor potential goes far beyond the attractive possibility of designing a computer where saving at shut down and rebooting at start up are unnecessary or a mobile phone where no battery charging is needed, including one of the greatest technology challenges, i.e. mimicking the functionalities of the human brain. To date, memristor represents the latest technology breakthrough to build electronics devices with characteristics that show an intriguing resemblance to the brainʼs synapses. The proposed course aims to address a novel area of research that makes use of a disruptive technology as the fundamental bio-inspired computation element, the memristor
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Exam:
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Exam:
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