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| If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
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| - | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
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| - | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models grow larger, traditional implementations on single-core CPUs suffer from sequential execution causing a severe slow-down. In this thesis, state-of-the-art GPU frameworks (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | ||
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| - | Requirements: | ||
| - | * Skills in numerical optimization algorithms | ||
| - | * Good programming skills in Python and C/C++ | ||
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| - | Contact: [[team: | ||
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| - | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | ||
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| - | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical models. In the past, they have been successfully applied to the problem of semantically interpreting and completing natural-language instructions from the web. State-of-the-art learning techniques mostly operate in batch mode, i.e. all training instances need to be known in the beginning of the learning process. In context of this thesis, online learning methods for MLNs are to be investigated, | ||
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| - | Requirements: | ||
| - | * Experience in Machine Learning. | ||
| - | * Experience with statistical relational learning (e.g. MLNs) is helpful. | ||
| - | * Good programming skills in Python. | ||
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| - | Contact: [[team: | ||
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| - | ==HiWi-Position: | ||
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| - | In the context of the European research project RoboHow.Cog [1,2] we | ||
| - | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | ||
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| - | The Institute for Artificial Intelligence is hiring a student researcher for the | ||
| - | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | ||
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| - | This HiWi-Position can serve as a starting point for future Bachelor' | ||
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| - | Tasks: | ||
| - | * Implementation of an interface to the Robot Operating System (ROS). | ||
| - | * Linkage of the knowledge base to the executive of the robot. | ||
| - | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | ||
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| - | Requirements: | ||
| - | * Studies in Computer Science (Bachelor' | ||
| - | * Basic skills in Artificial Intelligence | ||
| - | * Optional: basic skills in Probability Theory | ||
| - | * Optional: basic skills in Machine Learning | ||
| - | * Good programming skills in Python and Java | ||
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| - | Hours: 10-20 h/week | ||
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| - | Contact: [[team: | ||
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| - | [1] www.robohow.eu\\ | ||
| - | [2] http:// | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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