392267 ISY Project: Using Spiking Neural Networks as a Sudoku Solver (Pj) (SoSe 2018)

- Short Description

• Spiking Neural Networks (SNNs) are well suited for solving NP-hard problems, in particular constraint satisfaction problems like solving a Sudoku
• Using specialised neuromorphic hardware further improves the efficiency
• The goal is to model Sudokus in SNN using the C++ or Python programming language
• Depending on the preferences of the participants, target backends can be Human Brain Project Platforms like NEST (software simulator CPU), SpiNNaker (digital neuromorphic hardware), Spikey and BrainScaleS (analogue neuromorphic hardware), and other platforms like e.g. GeNN (software simulator GPU)

Please note that the teams will be selected by the supervisors on the basis of short applications that students are expected to send to them. Registering to the project in the ekVV will only be regarded as expression of interest; it will not secure a team membership.
Please get in touch with the supervisors for information on the application procedure.

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

Required skills:

• Basic knowledge in Python and/or C++
• Experience with (spiking) neural networks is beneficial, but not mandatory
• Good Sudoku solving skills are NOT required (although you should be familiar with the rules)