Infore


Interactive Extreme-Scale Analytics and Forecasting

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Challenges


Life Science

Advance the state-of-the-art in multi-cellular simulation for the study of the effects of drug synergies in tumor growth.

Financial

Use massive amounts of historical and near real-time market data to allow for forecasting, systemic risk estimation and decision support for the finance industry stakeholders

Maritime awareness

Perceive and reason with activities, events and threats at sea while projecting them into the future

Technological Breakthrough

Interactive Extreme-Scale Analytics and Forecasting

In a Nutshell


The aim of the INFORE project is to address the challenges posed by huge datasets and pave the way for real-time, interactive extreme-scale analytics and forecasting. Today, at an increasing rate, industrial and scientific institutions need to deal with massive data flows, streaming-in from maritime surveillance applications, financial forecasting applications or cancel cells growth simulations as well as a multitude of other sources. The ability to forecast, as early as possible, a good approximation to the outcome of a time-consuming and resource demanding computational task allows to quickly identify undesired outcomes and save valuable amount of time, effort and computational resources.

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Latest Updates


Vessel detection using image processing and Neural Networks

The establishment of the Automatic Identification System (AIS) was revolutionary for Maritime Situational Awareness, as it allowed for the tracking of vessels carrying an AIS transponder, which is mandatory for, and not limited to, the...

INforE: Interactive Cross-platform Analytics for Everyone

We present INforE, a prototype supporting non-expert programmers in performing optimized, cross-platform, streaming analytics at scale. INforE offers: a) a new extension to the RapidMiner Studio for graphical design of Big streaming Data workflows, (b)...

Automatic Maritime Object Detection Using Satellite imagery

In this paper we present an approach for performing object classification and segmentation in satellite images for the Maritime domain. We employ neural network architectures for object classification and segmentation tasks in order to identify...

Infore 6th Plenary Meeting

On Friday, September 4th, the 6th plenary meeting of INFORE was held. Just like the 5th plenary meeting, it was an online meeting. The project coordinator started the meeting by giving a welcome talk, in...
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Who is involved?


This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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