Driver of innovation.
Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Fraunhofer SCAI develops innovative methods in Computational Science and actively supports their take-up in industrial practice. The Institute combines mathematical and computational knowledge with a focus on algorithms – bringing benefits to customers and partners.
Handling Big Data – VAVID, a BMBF Funded Joint Project
VAVID allows technology firms to get a better grip on the massive amount of data they need to handle. The partners in this project are developing methods to tackle the enormous volumes of data that accumulate at engineering departments. Examples of such data include simulation results and the sensor data received from machines and installations. VAVID works by using comparative analysis and data compression to reduce data to its relevant core. This saves on the costs of data storage and creates the transparency needed by engineers to optimize both production and products. VAVID is being coordinated by the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) and is receiving 2.2 million euros in support from the German Ministry of Education and Research (BMBF) under its Big Data program.
First newsletter of the project AETIONOMY is now online!
Download the first issue of the newsletter (2,7 MB)
AETIONOMY organizes knowledge about dementia to develop new drugs and therapies
In January 2014 the AETIONOMY consortium started a project aiming to develop a new way to classify Alzheimer’s and Parkinson’s disease. The 5-year-project is funded by the Innovative Medicines Initiative (IMI), a joint undertaking between the European Union and the pharmaceutical industry association EFPIA. The new classification will be generated using data derived from a wide range of new biological approaches and will be based on the underlying causes of the disease.
Fraunhofer SCAI to turn heads (& manufactured parts) with the new PackAssistant
SANKT AUGUSTIN. The most important new feature of the software is that tapered components can be now packed much more closely. If, for example, several cones are packed into a container, a great deal of free space remains between the cones. If the user turns every second cone upside down, the gaps can be filled extremely well. This is what PackAssistant performs automatically in the new version.