The COVID-19 Pandemy has forced higher education into fast forwarding their digitisation across the board. This creates valuable and relevant information for the sustainable digitization beyond the crisis mode. The project structures evidence-based digital teaching exsperiences and digital competences at the departments Life Science and Facility ...

When companies store their data in the cloud or share data with other organizations via the cloud, information security and data protection are based on trust, legal agreements and technical and organizational measures. "Confidential Computing" technology can ensure the confidentiality and protection of data in the cloud at hardware level. This ...

The project comprises the tasks of  a comprehensive data collection (Piavita/ University of Bern) and the development of a mobile, non-invasive system (Piavita/ZHAW) for veterinarians and breeders.  The goal is to collect important vital data and to develop a new algorithm scheme with which - ovulation in mares can be reliably determined  without ...

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 ...

REFRACT is an international consortium aiming to extend our knowledge on the mechanism of tandem repeat protein (TRP) function and evolution, establishing a common classification and best practices. Starting from available state of the art computational tools and databases, it aims to drive a new level of TRP characterization leveraging the ...

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.