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.

09:00
10:30

Alessandro Sperduti
University of Padova

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

 

Coffee

11:00
12:30

Alessandro Sperduti
University of Padova

 

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

 

Lunch

13:30
14:00

Keynote 1

Marco Mellia
Politecnico di Torino

From packets to knowledge: applying data science approaches to large scale passivemeasurement

14:00
15:30

Luca Benini
ETH Zurich

 

Plenty of Room at the Bottom?
Micropower Deep Learning

for Cognitive Cyberphysical Systems (Part 1)

 

Coffee

16:00
17:30

Luca Benini
ETH Zurich

 

Plenty of Room at the Bottom?
Micropower Deep Learning

for Cognitive Cyberphysical Systems (Part 2)

 

Poster Session


09:00
10:30

Damien Querlioz
Université Paris-Sud

Emerging Technologies for Neuromorphic Computing
(Part 1)

 

Coffee

11:00
12:30

Damien Querlioz
Université Paris-Sud

 

Emerging Technologies for Neuromorphic Computing
(Part 2)

 

Lunch

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

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

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 (available seats are limited)

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Contacts

Andrea Calimera

Department of Control and Computer Engineering

Mario Casu

Department of Electronics and Telecommunication Engineering