The goal of this Project is to build a mobile application that uses the camera to extract traffic information in real time.
Tasks include but are not limited to:
NLP is currently one of the major research areas in machine learning. Ground breaking new architectures and techniques are constantly being published, achieving major improvements.
The goal of this project and/or thesis is to explore the current state of the art of NLP. Possible topics include but are not limited to:
Design an implement a state-of-the-art machine learning platform using open-source tools.
Arcade games form the 80s are fun and have very handy features: The graphics are simple, the controls are very limited and the game mechanic is in general very simple. This makes it perfect for a computer to teach itself playing a game.
Teach the computer to play a arcade game.
Invoices, orders, credit notes and similar business documents contain information needed for trade to occur between companies, much of it on paper or in semi-structured formats such as PDFs. These documents carry information not only in text, but also in the spacial location. Ordinary Natural Language Processing or Computer Vision methods are not sufficient to understand these kind of documents.
In particular invoices carry lots of information in the spacial location of the text and other characters like lines and signs e.g. for tables. Different approaches can be followed for different problems. Simple pattern matchings or mask techniques can already achieve good results. But these approaches does not work well on unseen data. Deep learning is a different approach to understand these invoices.The problem is divided in two to major areas: