Incontri del giovedì – Uno sguardo al futuro all'ora dell'aperitivo - Giovani di IEIIT
Andrea Ria, Marco Oreglia, Emilio Paolini
CNR-IEIIT
Evento on line via Microsoft Teams
27 Ottobre 2022
ore 17.30
CNR-IEIIT
Evento on line via Microsoft Teams
27 Ottobre 2022
ore 17.30
Sommario
Il giorno 27 Ottobre 2022 alle ore 17.30 prosegue la serie degli "Incontri del giovedì – Uno sguardo al futuro all’ora dell’aperitivo", organizzata da IEIIT – CNR.
La serie di seminari, con frequenza bisettimanale, affronta le tematiche caratterizzanti l’Istituto stesso con una visione trasversale ai domini applicativi e agli ambiti tecnologici e uno sguardo rivolto alla loro evoluzione.
In occasione del prossimo seminario si inaugura una sessione speciale degli “Incontri del giovedì”, denominata “Giovani di IEIIT”, dedicata ai giovani ricercatori in formazione (dottorandi, assegnisti, etc.) del CNR-IEIIT a cui sarà data la possibilità di presentare le proprie attività di ricerca svolte all’interno dei gruppi di ricerca di riferimento.
Il nuovo appuntamento in edizione “Giovani di IEIIT” avrà come relatori il Dr. Andrea Ria (Research fellow), il Dr. Emilio Paolini (PhD student) ed il Dr. Marco Oreglia (PhD student) con i seguenti contributi:
"Experimental Assessment of Passive UHF-RFID Sensor Tags for Environment and Kinematic Data”- Dr. Andrea Ria (Research fellow) - Radio Frequency Identification (RFID) technology and low power electronic sensors con be combined to build wireless passive sensors which might cover many applications ranging from Internet of Things to Healthcare. This talk presents a multi–perspective overview of RFID–based sensor tags and then proceed to experimentally characterize the sensing capabilities of two commercial fully passive RFID sensor tags for acceleration and relative humidity data acquisition, respectively.
“Photonic Aware Neural Networks”- Dr. Emilio Paolini (PhD student) - The energy consumption and footprint for computation and data movement in deep neural networks is becoming a major limiting factor impacting their scalability. Photonic solutions are investigated as an energy-efficient alternative because of the inherent parallelism, the high processing rate with low latency, and the possibility to exploit passive optical elements. However, photonic hardware introduces constraints that need to be taken into accounts. We show that neural network models tailored for the photonic hardware can reach state-of-the-art accuracy on well-known computer vision problems.
“FGPA acceleration of the information reconciliation for a continuous variable quantum key distribution system”- Dr. Marco Oreglia (PhD student) - Information Reconciliation represents one of the tightest bottlenecks in a QKD system. FPGAs can help accelerating this phase. My short talk will be about an FPGA implementation of the encoder-side processing for information reconciliation. Processing is aimed at a CV-QKD system and enables multidimensional reconciliation. The design employs Chisel HDL, a set of Scala libraries, to describe hardware, then simulate and test its behaviour.
La partecipazione all’evento richiede l’iscrizione (gratuita) attraverso il LINK.
La serie di seminari, con frequenza bisettimanale, affronta le tematiche caratterizzanti l’Istituto stesso con una visione trasversale ai domini applicativi e agli ambiti tecnologici e uno sguardo rivolto alla loro evoluzione.
In occasione del prossimo seminario si inaugura una sessione speciale degli “Incontri del giovedì”, denominata “Giovani di IEIIT”, dedicata ai giovani ricercatori in formazione (dottorandi, assegnisti, etc.) del CNR-IEIIT a cui sarà data la possibilità di presentare le proprie attività di ricerca svolte all’interno dei gruppi di ricerca di riferimento.
Il nuovo appuntamento in edizione “Giovani di IEIIT” avrà come relatori il Dr. Andrea Ria (Research fellow), il Dr. Emilio Paolini (PhD student) ed il Dr. Marco Oreglia (PhD student) con i seguenti contributi:
"Experimental Assessment of Passive UHF-RFID Sensor Tags for Environment and Kinematic Data”- Dr. Andrea Ria (Research fellow) - Radio Frequency Identification (RFID) technology and low power electronic sensors con be combined to build wireless passive sensors which might cover many applications ranging from Internet of Things to Healthcare. This talk presents a multi–perspective overview of RFID–based sensor tags and then proceed to experimentally characterize the sensing capabilities of two commercial fully passive RFID sensor tags for acceleration and relative humidity data acquisition, respectively.
“Photonic Aware Neural Networks”- Dr. Emilio Paolini (PhD student) - The energy consumption and footprint for computation and data movement in deep neural networks is becoming a major limiting factor impacting their scalability. Photonic solutions are investigated as an energy-efficient alternative because of the inherent parallelism, the high processing rate with low latency, and the possibility to exploit passive optical elements. However, photonic hardware introduces constraints that need to be taken into accounts. We show that neural network models tailored for the photonic hardware can reach state-of-the-art accuracy on well-known computer vision problems.
“FGPA acceleration of the information reconciliation for a continuous variable quantum key distribution system”- Dr. Marco Oreglia (PhD student) - Information Reconciliation represents one of the tightest bottlenecks in a QKD system. FPGAs can help accelerating this phase. My short talk will be about an FPGA implementation of the encoder-side processing for information reconciliation. Processing is aimed at a CV-QKD system and enables multidimensional reconciliation. The design employs Chisel HDL, a set of Scala libraries, to describe hardware, then simulate and test its behaviour.
La partecipazione all’evento richiede l’iscrizione (gratuita) attraverso il LINK.
