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.

A novel approach for a fully automated food waste management solution for commercial kitchens is investigated. Food waste is automatically detected using a new camera device, preprocessed in real-time and classified using machine learning algorithms.

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, ...

In this project, a virtual reality environment will be created to bring concepts around smart mobility closer to a broad audience. These concepts include smart sharing offers (and thus a change of mentality from owning to using), automated driving (which could reduce the number of vehicles in cities to one tenth within the framework of a shared ...

Development and teaching of a course on various aspects of secure software development and hacking methods.

Muscle loss is a concomitant of various diseases (cachexia) and the usual aging process (sarcopenia). Limiting this reduction and, ideally, even reversing it makes medical and economic sense. In medicine, the metabolic function (in addition to the pure movement) of the muscles is increasingly understood and recognized in their therapeutic ...

This project involves the playful communication of Smart City themes in a high-end virtual reality environment. The VR game "Virtual Energy Hero", already developed by the ZHAW, is to be expanded into the "Virtual Smart Winti Hero". The further developed game for young and old will take up current and future Smart City themes (energy, mobility, ...

The project implements an online service for companies to monitor suppliers for violations of environmental, social, or governance norms. To do so, a vast variety of sources, such as news outlets, is monitored using machine learning and natural language processing with near human-level accuracy.

Tamedia would like to develop a software system that automatically generates news articles from hockey game data. ZHAW will explore the different state-of-the-art technologies to evaluate the feasibility of developing a natural language system that generates rich contextual ice hockey game report and, if so, how much effort it would be to develop ...

Research on security requirements and innovation opportunities for a product for data capture and management in the domain of pharmaceutical product development.

This research project will investigate how a communication strategy for the marketing and communication of the diverse cultural activities and sites in the Lake Constance region could be shaped. For a sustainable strategy development the digitization of the communication, by which also the cultural sector has undergone a profound change, is ...

The industrial project partner offers online brokering of loans, mortgages and insurances. The brokering process involves several phone calls of a call agent with a potential client. This is time-consuming and highly repetitive. For this reason, we want to develop a dialogue system which can take over part of the tasks: it will initiate calls to ...

VSHN PaaS product APPUiO is transforming the DevOps culture in Switzerland. APPUiO currently lacks usage-based accounting. This project will enable a robust usage-based billing for APPUiO, and develop capabilities such as price simulators, cost forecasts and sand-boxing to test new billing models.

Entry, discharge, radiology and pathology reports and other clinical documents are a valuable resource to be harvested for precision medicine. They are typically stored in a free text format, only little structure is imposed and terminology is heterogeneous. We will apply natural language processing (NLP), machine and statistical learning methods ...

In the SCAI project, ZHAW and legartis investigate how content of contracts can automatically be evaluated legally by applying methods from the areas of Natural Language Processing and Deep Learning.

The goal of the research project is to develop an application that enables the statistical comparison of risk- and insurance profiles. With this information at hand, users of the e-Broker platform can compare themselves against peers and identify coverage gaps and unnecessary insurance coverages.