6th March 2020: We are sorry to announce that NICE 2020, scheduled to be held on March 17-20 2020, will be postponed to a later date. Please see here for the new date in March 2021
NEUROTECH event: Future Application Directions for Neuromorphic Computing Technologies: agenda and registration (free, but mandatory). A half-day event with special focus on potential application of neuromorphic computing.
Travel info:
Getting to the venue:
the nearest tram stop to the meeting venue is "Heidelberg Bunsengymnasium" (marked in the map linked above) [online timetable]https://reiseauskunft.bahn.de//bin/query.exe/en?Z=Neuenheim+Bunsengymnasium,+Heidelberg), provided by German Railway. Here you can also buy tickets online
via Railway from the train station directly attached to the airport "Frankfurt Flughafen Fernbahnhof": online timetable by German Railway (tickets are also sold online via this website)
via airport shuttle service directly to the hotel. We have good experience with TLS Heidelberg. A single, shared ride costs about 40 Euro / person / ride
Hotels:
These hotels are relatively close to the meeting venue (Kirchhoff-Institute for Physics, see the map above). A lot more hotels are listed in online hotel booking sites (e.g. on booking.com)
NICE 2020, workshop day I -- NOTE: NICE will be POSTPONED!
(Registration booth opens at 8:30h)
09:00‑09:10 (10+5 min)
Welcome to NICE 2020
09:15‑09:45 (30 min)
Organizer Round
09:45‑10:25 (40+5 min)
Keynote I
Mike Davies (Intel)
10:30‑10:50 (20+5 min)
Luping Shi (Tsinghua University)
11:00‑11:30 (30 min)
Coffee break
11:30‑11:50 (20+5 min)
Evaluating complexity and resilience trade-offs in emerging memory inference machines
Christopher H. Bennett, Ryan Dellana, Tianyo Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew Marinella, William Severa and Brad Aimone
Neuromorphic engineering only works well if limited hardware resources are maximized properly, e.g. memory and computational elements, scale efficiently as the number of parameters relative to potential disturbance. In this work, we use realistic crossbar simulations to highlight a significant trade-off between the complexity of deep neural networks and their susceptibility to collapse from internal system disturbances.
Although the simplest models are the most resilient, they cannot achieve competitive results. Our work proposes a middle path towards high performance and moderate resilience utilizing the Mosaics framework, by re-using synaptic connections in a recurrent neural network implementation.
11:55‑12:15 (20+5 min)
Johannes Schemmel (Heidelberg University)
12:20‑12:30 (10+5 min)
Lightning talk: From clean room to machine room: towards accelerated cortical simulations on the BrainScaleS wafer-scale system
NICE 2020, Tutorials day: NOTE: NICE will be POSTPONED!
The tutorial day can be booked as one of the registration options. On the tutorial day hands-on interactive tutorials with several different neuromorphic compute systems will be offered:
Intel Loihi platform tutorial (Lecture style. To follow along from your own laptop your need to engage with Intel’s Intel’s Neuromorphic Research Community beforehand (email inrc_interest@intel.com for more information).