Discover Our Contribution to Publicly Funded Research Projects!
Germany is widely recognized for its excellence in fundamental and applied research. At the same time, there is a growing call to accelerate the transfer of these insights into tangible innovations, products, services, and industrial processes that enhance competitiveness for companies. The rallying cry from events like the “From Coal [...]
Discover how Machine Learning contributes to Quality Assurance for Chemical Intermediates!
Today’s process industry faces a multitude of factors contributing to increasing uncertainty across the supply chain: • Limited quality, availability and unpredictable pricing of raw materials • Evolving regulatory requirements, including restrictions or even the need to replace key substances • Rising cost pressures, energy prices, and growing customer expectations [...]
Standalone Automated Machine-learning software platform
divis intelligent solutions releases ClearVu Analytics, a standalone Automated Machine-learning software platform The ClearVu Analytics (CVA) software platform enables no-code automated machine learning for structured datasets. Using CVA, products can be developed and optimized faster, process data can be analysed and predictive models can be created [...]
divis releases Automated Machine-Learning Excel Add-in
Introducing the ClearVu Analytics Excel Add-In. This tool enables no-code automated machine learning, offering a variety of approaches to model, optimize and design experiments for your datasets, all within the standard excel workflow. Our easy-to-use ClearVu Analytics Excel Add-In makes it possible to use this technology directly [...]
Machine Learning for Vehicle Development
Jana Büttner, Stefan Schwarz, Axel Schumacher and Thomas Bäck published their results on Machine Learning for vehicle development in the ATZ – Automobiltechnische Zeitschrift. In their article “Automated Machine Learning for Supporting Vehicle Design: The Case of a Global Sensitivity Matrix” the authors describe how relations between design variables and [...]
Machine Learning for Vehicle Development
On February 25, Jana Büttner (Porsche AG) and Prof. Thomas Bäck will give a presentation at the ASCS online event “Machine Learning for Virtual Vehicle Development”. The presentation “Automated Machine Learning for Supporting Vehicle Design: The Case of a Global Sensitivity Matrix” focuses on using machine learning for analyzing relations [...]
Automatic Machine Learning with Microsoft Excel
Automatic Machine Learning — shortly AutoML — is the key technology for data driven prediction with artificial intelligence. Our ClearVu Excel Add-In enables you to easily use this technology directly from the Excel user interface to build forecasting models for your data sets. The underlying technology is our powerful ClearVu [...]
10th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
On March 19-20 Thomas Bäck participated the ACIIDS 2018 in Dong Hoi City, Vietnam. The primary focus of the conference lies on intelligent information and database systems, and provides the opportunity for a scientific exchange on this topic. Mr. Bäck gave a presentation on Data-Driven Machine Learning and Optimization for [...]