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teaching:gsoc2018 [2018/02/16 11:19] – [Topic 2: Felxible perception pipeline manipulation for RoboSherlock] ahaiduteaching:gsoc2018 [2018/02/16 18:27] – [Topic 1: Markov logic networks in Python] nyga
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 **Requirements:** Good programming skills in the Python programming **Requirements:** Good programming skills in the Python programming
 language (CPython/Cython), experience in Artificial Intelligence and Machine Learning language (CPython/Cython), experience in Artificial Intelligence and Machine Learning
-(ideally SRL technques and logic)+(ideally SRL technques and logic). Knowledge about C/C++ will be very helpful.
  
 **Expected Results:** The core components of pracmln, i.e. the learning **Expected Results:** The core components of pracmln, i.e. the learning
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 **Contact:** [[team/daniel_nyga|Daniel Nyga]] **Contact:** [[team/daniel_nyga|Daniel Nyga]]
  
 +**Remarks:** If you have questions about this project in advance, about your application, qualification or ways to get started, please post your question in the [[https://gitter.im/iai_gsoc18/pracmln|pracmln gitter chat]]. Personal e-mails will not be answered. 
 ==== Topic 2: Flexible perception pipeline manipulation for RoboSherlock ==== ==== Topic 2: Flexible perception pipeline manipulation for RoboSherlock ====
  
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