- Platform / Framework
- I-BiDaaS Consortium
I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution
The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.
- Component / Service / App
- Created by University of Novi Sad Faculty of Sciences (UNSPMF) and Barcelona Supercomputing Center
ADMM Machine Learning Algorithms
This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY
- 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.
- Component / Service / App
- RENVIS
SOFIA DSS
SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.
- Component / Service / App
- Ahmet Soylu
OptiqueVQS
OptiqueVQS is a visual query formulation tool for expressing information needs in terms of queries over ontologies. OptiqueVQS is composed of an interface and a navigation graph extracted from the underlying ontologies.
- Component / Service / App
- BigDataStack Consortium
BigDataStack - High-performance data-centric stack for big data applications and operations
BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.
- 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 Other
- Daniel Wolffram
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.
- Platform / Framework
- Germán Herrero
AGORA - Unlocking data-driven business potentials for cross-sectorial industries
AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).
- Platform / Framework
- ATB – Institut für angewandte Systemtechnik Bremen GmbH
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.).