Containerised Genetic p-Median Solver
The p-median solver developed by the Track&Know project uses a genetic algorithm approach to solve the Location-allocation problems in polynomial time. Location-allocation problems typical deal with provisioning of resources between facilities based on historic demand.
Artificial intelligence in the fight against COVID-19
Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads.
DEEPaaS - Deep Learning for everybody
The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.
DISCOVID.AI - a search and discovery engine for CORD-19
Because of the rapid increase in literature around COVID-19, it is hard to keep up with the newest publications and find articles that are relevant for your work.
Cross-CPP - A single point of access to multiple data streams
Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).
Lexa Texer predictive analytics
Machine learning / AI driven service desk to optimize Railway service operations: LexaTexer offers predictive analytics that help corporations organise decision-making by analysing documents with machine learning technology.
AEGIS Data Management and Analytics Platform
The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.
Pharmawizard
Pharmawizard is a digital healthcare solution that empowers citizens to better manage their day-to-day health through user-friendly virtual services such as drug and symptom research, comparison, therapy management and communication with pharmacists and doctors.
DataBench Toolbox
The goal of the DataBench Toolbox is to provide a way of reusing existing big data benchmarking efforts under a common framework, providing therefore a way to select, download and homogenize technical and business indicators.