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 ...

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 ...

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 ...

The goal of this project is to significantly increase the visibility of a mature solution, anticipating the adoption of Renku as a tool to improve research management in Switzerland, leveraging existing knowledge, resources and networks built in the context of past and current projects supported by ...

This project extends Exeon Analytics' ExeonTrace product with HostDetective Next Generation (HD.ng), a tool to identify and mitigate Web-related data breaches. HD.ng implements a novel active and passive Web server assessment method to determine the type, purpose and risk score of a Web server. This project builds ...

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 ...

INSPIRE-5Gplus aims to make a revolutionary shift in the 5G and Beyond (B5G) security vision by progressing 5G Security and by devising a smart, trustworthy and liability-aware 5G security platform for future connected systems, while contributing to its realization. It will allow, for the first time, the advancement ...

Applied research and development in the area of “Computer Vision, Machine Learning and Augmented Reality” to foster data-driven improvements for the cultivation of vineyards.

An IoT system consists of hundreds of thousands of sensors, connectivity media, cloud analytics, and users. Building such a large and complex IoT system such as smart-city requires careful planning, selection of the right set of hardware and software technology and development of scalable computing infrastructure ...