CREXDATA aims to develop a versatile platform for real-time critical situation management, adaptive action planning, and agile decision-making powered by extreme-scale and complex data.
OBJECTIVES
Develop an extreme-scale data ingestion and fusion toolbox and realistic simulation models and tools
Create real-time predictive knowledge
and forecasts including federated
learning, complex event forecasting
under uncertainty and techniques for
Prediction-as-a-Service
Reduce perceived
complexity via
graphical workflow
design and visual
anlaytics coupled
with eXplainable AI approaches and
augmented reality
under uncertainty
USE CASES
Weather
emergencies
use case
Ingest and fuse extreme data to
improve situation awareness that
informs decisions in weather emergency
scenarios
Health crisis
use case
Integration of epidemiological and
multi-scale simulation models with machine learning to support
decision-making in health crises
Maritime
use case
Real-time route forecasting to
ensure safeter navigational routes
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CREXDATA gives a presentation at the 20th International Conference on Principles of Knowledge Representation and Reasoning
Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent’s knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This...
CREXDATA present at IEEE International Worskhop on Metrology for Aerospace
Since the first edition, IEEE MetroAeroSpace represents an international meeting place in the world of research in the field of metrology for aerospace involving national and international institutions and academia in a discussion on the state-of-the-art concerning...