In this R&D project, scanmeter - a service for the automated security analysis of IT systems - is being extended by three innovative components. This will significantly increase the level of automation and test coverage, significantly improve customer benefits, and expand the fields of applications. Specifically, ...

Emerging Mobility As A Services (MAAS) are pushing the boundaries of DevOps practices and processes, with new challenges to handle for both practitioners and researchers. MAAS providers such as BOND (Bike ON Demand start-up in Switzerland) employ DevOps innovations to sustain the evolution of future MAAS services ...

Much of the increasing complexity of ICT systems is being driven by the more distributed and heterogeneous nature of these systems, with Cyber Physical Systems accounting for an increasing portion of Software Ecosystems. This basic premise underpins the COSMOS proposal which focuses on blending best practices DevOps ...

GitOps is an innovative technique that blends version control technology with declarative application configuration specifications such as Infrastructure as Code (IaC). It removes the chance of errors and security issues by removing the reliance on human operators or scripts to perform deployment tasks. Implementing ...

The main aim of this project is to design and develop a map application for tourists in wheelchairs, people with restricted mobility and people with visual impairments. The app will provide specific information on the accessibility of areas of interest to tourists. In Switzerland, these include both urban ...

In the ADDSA project, an advanced Data and Service Architecture is being developed to meet the industrial needs in equipment insights.

A visualisation of the course of the conrona pandemic is to be created on an 'orbitarium'. This should be generally understandable, but nevertheless scientifically correct. The globally available data material must be homogenized for this purpose. The visualization can be used for internal presentations on the one ...

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 automatic analysis of X-ray/CT images through artificial intelligence models can be useful to automate the clinical scanning procedure. Nonetheless, the limited access to real COVID patient data leads to the need of synthesizing image samples. The goal of this project is to use existing CT/X-ray image datasets ...

If children are questioned in preliminary proceedings about their own experiences or observations relevant to criminal law, it depends decisively on the quality of the questioning whether their statements can be used in criminal proceedings or whether decisions can be made on this basis and appropriate consequences ...

The company's platform leverages public open data sources for marketing campaign optimisation. The effectiveness of such a campaign depends crucially on external factors such as political opinion, weather, surrounding demographics and even district-level trends. Research questions are: How can data sources be ...

In this project, LUCY - a system for phishing awareness training - will be significantly extended in order to put such training on a scientific basis and to bring it to a new level of quality. The goal is to provide completely automated, effective and individualized phishing awareness training with measurable ...

Docker has become the de-facto standard for containerised application delivery. Hundreds of companies in Switzerland develop, deploy and operate Docker-packaged software regularly, often involving publicly available Docker images produced by third parties. For banks, insurances and other companies with high ...

Project DIR3CT aims at improving the image quality of CBCT images by deep learning (DL) the 3D reconstruction from X-ray images end-to-end. This enables a novel CBCT product to be used during radiation therapy and will allow the use of these images for adaptive treatment.

This demonstration shows to the participants the exciting possibilities of machine learning applied to speech, showcasing their benefits in various scenarios like helping regain the voices of the speech-impaired and improvement of dubbing technologies.  Also, crucially, it helps demonstrate the evergrowing threats ...

The main ambition of TAILOR is to build the capacity of providing the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centers with a technical focus on combining research excellence in the areas of learning, optimisation and reasoning . The current scientific ...