- Platform / Framework
- Sirma AI (Ontotext)
HistoGrapher
Histographer is a software platform for building holistic solution integrating multimodal histopathology data.
- Platform / Framework
- Cesare Cugnasco
Multidimensional Storage with Efficient Sampling (MuSES)
Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.
- Process
- Niels Reinhard
PredRepair Smart Manufacturing Logistic & Maintenance
The automotive after sales market is 44bn € in Germany alone. Our spare part recommendation engine allows car repair shops to deliver value with less human labor (increasing efficiency), allowing for higher value activities.
- Component / Service / App
- Bodypass
Full-body mapping and automatic registration of medical (CT) images for geometrical and tissue queries
Registration of volumetric 3D body avatar model with the growing number of organs into medical (thorax-abdomen CT) images to and patient metadata. Extraction of fat percentages and internal organ dimensions.
- Platform / Framework
- Bodypass
Blockchain network for exchanging 3D personal data extracted from medical images and body scanners
Private blockchain network that includes a metrics catalogue. Data customers are connected to data providers. Data costumers can configure SQL queries and obtain individual anonymised data or aggregated data.
- Component / Service / App
- Razvan Pistolea
Predictive maintenance models for Industrial robots in body shop
An easy way to export/ extract the sensor data (velocity, current, temperature)
- Component / Service / App
- Gregorio M. Toral
Optimisation of traffic flow in Berlin
Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.
- Platform / Framework
- Ecovid19
COVID-19 Data portal
The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research
The COVID-19 Data Portal
- Platform / Framework
- DEEP-Hybrid-DataCloud
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.
- COVID-19 Medical
- Vincent Barnaud
Truata Anonymization Service
Onboarding a new data set : - analyze it and set anonymization processes - connect the Data owner IT with Truata platform - ingest the data and execute the planned anonymization steps - pass acceptance tests Periodically: - ingest the data and execute the planned anonymization steps Building a mo