Summer School Covered Topics

Deep Learning Theory and Software

Accelerating Deep Learning using FPGAs and ASICs

CAD Tools for Deep Learning On-Chip

Cognitive Cyberphysical Systems

Brain-Inspired Electronics with Emerging Technologies

Applications of Deep Learning for Data-Analytics and Visual Reasoning

 

Summer School Schedule

The final schedule is now available! Click to expand.

08:30

Registration

08:50

Welcome speech

09:00
10:30

Alessandro Sperduti University of Padova

Deep Learning basics: from vectors to sequences
(Part 1)

Coffee break

11:00
12:30

Alessandro Sperduti University of Padova

Deep Learning basics: from vectors to sequences
(Part 2)

Lunch break

13:30
14:00

Keynote 1

Marco Mellia Politecnico di Torino

From packets to knowledge: applying data science approaches to large scale passive measurement

14:00
15:30

Luca Benini ETH Zurich

Plenty of Room at the Bottom?
Micropower Deep Learning

for Cognitive Cyberphysical Systems (Part 1)

Coffee break

16:00
17:30

Luca Benini ETH Zurich

Plenty of Room at the Bottom?
Micropower Deep Learning

for Cognitive Cyberphysical Systems (Part 2)

 


09:00
10:30

Damien Querlioz Université Paris-Sud

Emerging Technologies for Neuromorphic Computing
(Part 1)

Coffee break

11:00
12:30

Damien Querlioz Université Paris-Sud

Emerging Technologies for Neuromorphic Computing
(Part 2)

Lunch break

13:30
14:00

Keynote 2

Enrico Magli Politecnico di Torino

Deep learning for advance vision tasks

14:00
15:30

Stefano Mattoccia University of Bologna

Deep-learning for low level vision problems and mapping of computer vision algorithms on FPGAs with High Level Synthesis tools (Part 1)

Coffee break

16:00
17:30

Stefano Mattoccia University of Bologna

Deep-learning for low level vision problems and mapping of computer vision algorithms on FPGAs with High Level Synthesis tools (Part 2)

Social Event

 


09:00
10:30

Zhiru Zhang Cornell University

Accelerating Deep Neural Networks on FPGAs
(Part 1)

Coffee break

11:00
12:30

Zhiru Zhang Cornell University

Accelerating Deep Neural Networks on FPGAs
(Part 2)

 


Registrations are now open

It is now possible to enrol to the 2017 Summer School on Deep Learning On-Chip.

Sign-up here.

Fee: 183€ (includes all lunches for 3 days, coffee breaks and social dinner)
Deadline: Sunday September 3, 2017 Monday September 11, 2017 (few seats left)

Travel & Stay

Location

Politecnico di Torino
Department of Electronics and Telecommunications (DET) – Fifth floor
Corso Castelfidardo, 42, 10129, Torino (Italy)

Detailed instructions on how to reach the conference room with local transportation.

Travel

By Plane
Caselle International Airport allows daily connections with the main European cities. The SADEM bus company connects the airport to the city center. The cost is 7,50 € and tickets are available on board. Buses stop at both Porta Nuova and Porta Susa railway stations. Both are walking distance to the Politecnico campus, with Porta Susa being the closest one. Taxi service is also available with fares around 30 € to Torino city center, and about 35 € to the Politecnico campus.

Alternatively, Malpensa International Airport  is one of the main European hubs connected to more than 120 cities all over the world.

By Train
Torino has two main railway stations: Porta Nuova and Porta Susa. Both stations are located in the city centre, very close to the Politecnico di Torino. They are connected with frequent high speed rail services to main destinations in Italy and France, and from there to the rest of Europe.
More information are available at the Trenitalia website.

By Car
Motorways A6 Torino-Savona, A4 Torino-Milano-Venezia, A21 Torino-Piacenza-Bologna, A5 Torino-Aosta, A32 Torino-Bardonecchia connect Torino to most Italian and European cities.

Hotel reservations

Best Quality Hotel Politecnico – Reservations  are now available. Download and fill-in the PDF form. Reservations deadline extended to September 11, 2017.

NH Torino Centro Hotel – Reservations are available at this web page (expired).

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Contacts

Andrea Calimera

Department of Control and Computer Engineering

Mario Casu

Department of Electronics and Telecommunication Engineering