Currently there is an unmet need for trust and privacy in multi-party data analytics (e.g. in cloud computing). A new solution approach using hardware-based trusted execution environments is called Confidential Computing. The Zurich-based and investor-backed startup decentriq is a provider of confidential analytics ...

This project aims to fully digitize and automate the transcription of spoken dialogues. We will implement a software system, Interscriber, that takes an audio recording as input and creates text using algorithms for Speech-to-Text and Speaker Diarization. The text is further processed and corrected. Finally, ...

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 ...

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 ...

The survey of 1929 adults in Switzerland in the period from 17 - 26 April 2020 suggests that a large majority of the population in any case or probably intends to a) install an app for contact-tracing of SARS-CoV-2, b) report infections in the app and c) comply with the app's request for contact reduction or ...

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 ...

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 ...

The aim of the project is to reduce the manufacturing waste in the production of glass-fiber reinforced plastic is by online analysis and model-predictive control using measurement values continuously collected during the process.

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 ...