The productivity of label weaving machines is to be greatly increased by improving the weaving quality at high weft rates.

The goal is to produce a rigorous systematization that investigates the implications of the choice of the ledger model on core economic properties of blockchains. Beyond that, special attention is given to the question about liquid staking and associated security considerations that put Cardano into…

The project aims to find out how large language models (LLMs) can be used to to improve the transcription of audio into text (Speech-to-Text, STT). To this end analyse the quality and reliability of this approach.

Goals of this Project: / Evaluate the viability of a similar error detection system for residential pumps covering a broad range of brands and models. / This low-cost sensor unit will enable us to create value for our customers by detecting malfunctions before issues propagate. / To design this…

This project involves developing an adaptable, modular beehive system that is sustainably, precisely, and individually manufactured using 3D printing.

The project aims to develop a portfolio of innovative solutions to be integrated into the built infrastructure, with the final goal of further enabling positive energy buildings (PEB) and districts (PED) within the future energy landscape.

The goal of this project is to unleash the full potential of ultra high-field NMR spectroscopy by optimizing the process of data acquisition, in particular by developing software for the automation of the artefact removal / reconstruction process. The project is a collaboration between the…

Tomato is a vegetable crop grown in many countries, and its production is constantly increasing. Unfortunately, production can be limited by both abiotic and biotic factors. Fungal pathogens are one of the major factors that reduce crop yield. Botrytis cinerea is a phytopathogenic fungus that causes…

E-cargo bikes are becoming increasingly popular in urban areas because they can replace cars for short trips and thus reduce CO2 emissions. The aim of this research is to identify the road safety problems caused by the increase in e-cargo bikes and to develop appropriate preventive measures.

Oral health can be improved through targeted oral disinfection. The swiss company DentalTek AG aims to enhance oral hygiene by developing targeted disinfection technologies based on photodynamic therapy. Collaborating with ZHAW and the University of Zurich, we will optimize integrated…

The project aims to strengthen a tailored IPO ecosystem for Swiss SMEs. These companies typically have limited access to IPOs or are unaware of this financing opportunity. Optimizing the IPO process enhances the global competitiveness of the Swiss economy.

Our project aims to develop wheat varieties that ensure high baking quality even under reduced nitrogen input. By integrating advanced prediction methods and utilising existing datasets, we strive for sustainable wheat production that protects the environment and secures Switzerland's…

Support for the introduction of the “Directed Energy Deposition” production technology for the repair of Auxiliary Power Units in Aircraft.

Echocardiography is the most common method for assessing cardiovascular conditions, yet complex and time-consuming. The proposed solution ensures improved, cost-effective patient care by generating comprehensive and evidence-based diagnostic reports, leveraging automated image and data analysis.

FoodVision aims to evaluate the marked and validate the commercial potential, integrate best practices and ensure alignment with sustainability goals for the further development of a fully automated, high-volume food waste measurement and detection system leveraging AI technology.

Klepsydra needs to extended the reach of its AI inference engine for edge devices to several different processers. The project "mAchine leaRnIng maTHeMatical Extension To multIple proCessors - ARITHMETIC" shall provide the necessary mathematical back-ends to lay the foundation for easier extensions.

Development of efficient and reliable AI-based cyber attack detection technology for IT & OT converged control systems, taking into account the security paradigm of industrial digital transformation. Key Development Content: / Anomaly detection model based on control equipment operational data…

BioThrust intends to commercialise their propreitary MemStir impeller for the production of shear sensitive stem cells using scalable stirred bioreactors. These proof-of-concept studies planned for PSC-OPTISTIR will embody supplementary trials to those previously conducted in PSC-THRUST, with a…