We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets.  ...

With the Augmented Realitiy (AR) outdoor mission " Escape the Fossils", we want to create awareness and communicate our current research on energy transitions. It will specicially target students from 12 years. For this reason supporting material will be developed. The project partnership between the institute of ...

To address climate and regulatory challenges for Swiss Pension and Real Estate funds, this project aims to create transparent, technology- and data-driven methods for evaluating Swiss Real Estate assets in terms of obsolescence, carbon emissions (current and forward-looking), and energy efficiency using large data ...

We target to develop centre-of-the-plate food products through an innovative application of texture- and nutrient-optimized bio-processing, assisted by data-driven process optimization. From sustainability perspective, the product aims for minimal processing and up-cycling of agro-food side streams.  ...

Comparison of roasting with different head/energy sources. This will be conducted first (2023) on three shop roasters and later (2024) on two industrial roasters.

Digital Health Zurich researches digital health solutions in the hospital context and implements them efficiently and with practical relevance. Core topics are Patient Reported Outcome Measure (PROMs), remote monitoring, integrated care and related technologies as well as empowerment of patients and staff. Our ...

In this inter- and transdisciplinary research project, we investigate with the local actors the sustainability of "terroir" agri-food systems. First, we will co-define sustainability in the local context with direct engagement with stakeholders. Second, we will facilitate the co-creation of pathway towards improving ...

In this project a compound library of peptidic drugs will be synthesized.

Melanoma is the fifth most common cancer in Switzerland and the most lethal skin cancer. NRAS (neuroblastoma ras viral oncogene homolog)-mutated melanoma is the most aggressive subtype, with no effective therapy after immunotherapy failure. The goal of this project is to develop the first effective targeted therapy ...

The project will assess the feasibility of automatic quantification of two very important aspects of a team game: fatigue, and quality of decision making. If successful, we intend to develop the idea further by creating a well-coordinated consortium of academics and companies in Switzerland and create a cutting edge ...

This project aims at creating a machine learning-based tool for predicting success in functionalmobility treatment with Lokomat device for children with cerebral palsy (CP).

The degree of digitalisation in the facility management (FM) and real estate (RE) sector is still relatively low. However, there are significant potential opportunities that digital transformation (DT) offers FM and RE. The complexity of understanding DT and its many interrelated factors present a considerable ...

Every two years, FH SCHWEIZ conducts a cross-sectional and longitudinal study in all national languages (G, F, I) among its members and graduates of universities of applied sciences on the topic of salary and its influencing factors, as well as other supplementary key topics. The data collection is designed as a ...

This project aims at brewing beer with hemp instead of hops, without changing the sensorial characteristics of the beer. The project proposed is seen as a collaborative work between the different research groups of ILGI institute. The goals are: to develop a hemp bitter extract that could be used in beer brewing to ...

INCiTiS-FOOD (Integrated and Circular Technologies for Sustainable city region FOOD systems in Africa) is a 4-year project that aims to improve food and nutrition security (FNS) in African city regions and reduce the food-system-related environmental footprint while contributing to circularity. Furthermore, the ...

The aim of the project is the further development of probabilistic and dynamic modeling of diseases in the form of Bayesian networks in the field of digital health as a central strategic pillar of the newly formed specialist group "Medical Image Analysis and Data Modeling" of the "Computational Health" focus. To ...

A major problem in medicinal chemistry and drug discovery projects is the unknown identity of the molecular biological target, even when very potent ligands are available, such as those discovered in a phenotypic screen. Therefore, methods for hit optimization, such as structure-based design, or better understanding ...

The goal of this Project is to Conduct an Aroma audit of an instant coffee production line.

We propose a fully digital, science-based solution that can provide forward-looking guidance for companies regarding the financial risks associated with biodiversity loss. We intend to communicate understandable risk metrics using User Interface to a biodiversity-committed network of stakeholders.  ...

We develop and adopt geoprocessing workflows to analyze and model the spatial footprints of companies representing company venues, production sites, or in general areas where companies are active. We combine the spatial environmental assessments with LCA methods to transform non-spatialized into spatialized ...

Access to large complex biomedical data today allows scientists to take full advantage of AI-driven approaches in a variety of applications with high societal impact. One such application is precision medicine, which is gradually becoming reality for some cancers. Unfortunately, for colorectal cancer (CRC) ...