For the last two decades Chess has been a trending topic among Artificial Intelligence researchers. Since chess is considered to be an act of pure intelligence and grandmaster have been considered as possessing the most complex intelligence in the world, researchers in the earlier times of the AI focused on creating strong chess playing programs. Claude Shannon and Alan Turing made serious contributions for building the foundations of chess engines.
Matrices are powerful mathematical data representation tools in the engineering and science fields.Also, Sparse matrices which contains few non zero elements are also widely encountered. Representation of sparse matrices and multiplication of sparse matrices with a vector in an efficient way is also a key issue.
It may be hard to visit all artworks in a museum due to the gigantic size of it. Our aim is to create a system that helps visitors of such museums by providing them a guidance at the intersection points of the rooms based on the context of the visitor by using argumentation of the paintings. We construct a multi-agent system so that each painting can express his arguments in a logical representation.
SQLView is a tool which helps to query in more convenient manner and increase efficiency of DB, provides security options. By using this program, people who do not know sql can create and run queries on a SQL DB, also see the results in readable way. Moreover, caching results of pre-defined queries will increase efficiency and security options will help to increase usability of program.
Our aim is to detect if the user is smoking correctly, so that they will be encouraged to quit smoking in the future by supplying convincing, user-specific advises to them. Currently, we an smartwatch application which could detect the smoking gestures and gives the number of cigarettes smoked. In the future, the convincing content and user-specific feedbacks could be added to the system.
This project is about visualizing the log data of Boğaziçi University’s dining halls. Eating habits of the individuals change with many reasons. Several researches have been done to investigate these habits and results show that the decisions on eating can be stereotyped. People tend to eat healthy and tasty meals and for some reasons the time that they spend on eating changes time to time.
Social media along with the Web is growing and extending. Text in social media has its own grammatical rules and way of using words. For example a social media user can use a sentence like “I like u w you smiiiile”. This kind of text is hard to process with natural language processing tools and use in analyses. Therefore a normalization task for this social media text is essential to be able to process this huge data generated by social media users all around the world.
