Data growth and availability as well as data democratization have radically changed data exploration in the last 10 years. Many different data sets, generated by users, systems and sensors, are continuously being collected. These data sets contain information about scientific experiments, health, energy, education etc., and they are highly ...

ScorePad’s sheet music scanning service works for high quality input; to scale up business, it should work as well for smartphone pictures, used sheets etc. Project RealScore enhances the successful predecessor project by making deep learning adapt to unseen data through unsupervised learning.

Ticks are on the rise and transmit several infectious diseases, leading to serious illness or even death. The smartphone App “Zecke–Tick Prevention helps people, to remember the tick bite location and to check it for potential Lyme disease symptoms. In an interdisciplinary approach, ZHAW-scientists want to find out more about spatial tick risks. ...

There is a huge amount of valuable information hidden in a company's database which is not easily accessible to business people. To query these databases, end users need to know the technical query language SQL as well as the database structure. However, typical end users do not have enough SQL skills to formulate complex queries. Even more so, ...

The purpose of this project is to create a user-centric privacy policy (UCPP), applicable in a variety of settings (e.g., websites, hospitals, or banks), which is compliant with the General Data Protection Regulation (GDPR). Most importantly, the majority of users should be able to understand it and act accordingly. In this way, UCPP gives users ...

Goal of the project is a feasibility study to evaluate the potential of diverse AI techniques for opimising plant breeding on the basis of morphological characteristics.

How many guests will visit a restaurant and at what time of the day? Which menus will be ordered? Planning is absolutely crucial in gastronomy but not at all easy. It must be ensured that the correct amount of food is purchased and enough staff is present to run the shop. The planning which has been done intuitively for the time being can now be ...

One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying these systems often proves to be ...

In this project, we develop a  system for the detection and analysis of germ transmission chains in the University Hospital  Zurich. The system is based on an expert system solution in combination with machine learning (reinforcement learning).