Computacion-cuantica

Grupo AIA and ICFO, working together for Quantum Computing

Grupo AIA and Instituto de Ciencias Fotónicas (Institute of Photonics), ICFO, have signed a renewable 4-year collaboration agreement to establish the framework for continuous team-up collaboration.With this agreement, Grupo AIA becomes a member of the Corporate Liaison Program of ICFO to strengthen synergies between both organizations aiming at fostering cooperation for achieving common goals. (more…)

23 January, 2019 Sin categoría Comments Off on Grupo AIA and ICFO, working together for Quantum Computing

TDM: Temporal Dynamic Model.

The Temporal Dynamic Model project TDM is aimed at developing a lifecycle-based predictive model for the analysis of great volume of data through Big Data methodologies for decision-making.

The project scope is the design and development of a technological environment for defining and calculating a lifecycle-based predictive model for chronic patients´ management.

  • Phase 1: The design and development of the technology of lifecycle – based predictive model.
  • Phase 2: Implementation of the technology developed. In a vertical and concrete environment.

The result of the project is a technological environment for the development of predictive models based on lifecycle and a product ready for commercialization, validated by a pilot Project and associated to chronic patients´ management.

The participants of the projects are:

  • PULSO Ediciones S.L.: a company expert in contents editing and management.
  • Grupo AIA: a company with extensive experience in advanced mathematics and artificial intelligence – based solutions.

Co-funded project by the MINISTRY OF INDUSTRY, ENERGY AND TURISM within the call for funding grants for projects developed by the Strategic Action of Economics and Digital Society under the National Plan of Scientific Research and Technological Innovation 2013-2016. File: TSI-100600-2013-71

Talent Discovery

1 February, 2015 Proyectos No comments yet

Smart and self-adaptive system for knowledge and opinions extraction from internet and social networks.

The objective of the Project is to develop a cloud computing based system for opinions extraction from the internet for brand or product positioning. The intelligent algorithms are based on social networks and sentiment analysis and a self-learning
approach requiring minimum human intervention.

The proposed solution is based on Big Data standards, Hadoop open source framework in this case, to provide data storing and treatment of high volume of data. (Bootstrapping) for applying the algorithms for knowledge extraction. Other algorithms regarding Keywords, key phrases and ontology extraction will be developed in the project, as well as bootstrapping for developing a more powerful module for Sentiment Analysis.

APLICACIONES EN INFORMÁTICA AVANZADA S.L., has participated in the project “Intelligent and Self-Adaptive system for knowledge and opinions extraction from the internet and social networks based on Cloud and Big Data, Ref. number:
TSI-100600-2013-163, co-funded by the Ministry of Industry, Energy and Tourism, within the Scientific Research, Development and Technological Innovation Plan2013-2016.

1 January, 2015 Proyectos No comments yet

SNTALENT: development of a talent Discovery tool

Talent Discovery

SNTALENT  is a Talent Discovery tool created under the Strategic Action for the Economy and Digital Society Program, (AEESD for its acronyms in Spanish) of the Scientific and Technical Research and Innovation Plan.

Objective and purpose of the project.

The development of a SaaS Talent Discovery tool for talent search in social networks and database sources applying Artificial Intelligence technology to maximize quality and efficiency in sourcing and filtering phases of recruitment processes.

The Talent Discovery tool will offer the following features:

  • Jobs and profiles description drafting, prioritization and evaluation of required skills and experience to provide candidates scoring to ideal profile.
  • Search based on AI technology, internal database of previous candidates and external database sources in the network.
  • CVs and profiles´ automatic filtering in Natural Language Processing and scoring to ideal candidate.
  • Information capturing for:
    • CVs verification and contrasted in interviews.
    • Interest raised by candidates among recruiters.
    • Process management indicators, SaaS BI tools for recruitment process control.

Co-funded Project by the Strategic Action for the Economy and Digital Society Program, under the Scientific and Technical Research and Innovation Plan. 2013-2016 ref: TSI-100600-2013-219.

Talent Discovery

1 January, 2015 Proyectos No comments yet

iTesla

iTesla proyecto

iTesla (Innovative Tools for Electrical System Security Within Large Areas) is a collaborative I+D project of European scope funded by the European Commission within the Seventh Framework Programme (FP7).

iTesla Project’s purpose is to develop a set of tools that will help the future operation of pan-European electricity transmission. This toolkit will step forward in innovation: it will perform dynamic operational simulations following a probabilistic approach, going beyond the current focus on “N-1? and optimising the capabilities of network traffic at different scales, both spatial (national, regional, pan-European) and time (two days away, a day view, intraday real-time).

This toolkit will be available through a flexible IT platform allowing operators to perform simulations addressing both network, regional or pan-European in its own network, coordinated regional systems or completely pan-European system

The other project partners are:

  • RTE  (France) (Project leader)
  • Elia (Belgium)
  • NGC (UK)
  • REN (Portugal)
  • STATNETT (Norway)
  • IPTO (Greece)
  • CORESO (Belgium)
  • ARTELYS (France)
  • BULL (France)
  • PEPITE (Belgium)
  • QUINARY (Italy)
  • Imperial College London (United Kingdom)
  • INESC Porto (Portugal)
  • KTH (Sweden)
  • KU Leuven (Belgium)
  • RSE (Italy)
  • DTU (Denmark)
  • TRACTEBEL (Belgium)
  • TECHNOFI (France)

 

Grupo AIA‘s role in the project is twofold:

  • Building a common data model for the dynamic exchange of information between TSOs (Transmission System Operator).
  • Evaluate defence plans and develop methods for grid restoration at Pan-European level.

The project is being carried out between 2012 and 2015.

http://www.itesla-project.eu/

1 January, 2014 Proyectos No comments yet

HEMOLIA

HEMOLIA Proyecto

 

The aim of HEMOLIA is to develop a new generation of tools for government intelligence in the fight against Organized Crime, Money Laundering and the Financing of Terrorism, integrating large volumes of information from the financial world and the world of telecommunications.

HEMOLIA is a research and development project funded by the European Commission FP7 family STREP category in the SAFETY section and with COLLABORATION between countries and institutions in Europe. The project code is 261710, its duration is 3 years and the formal starting meeting was the 31st May 2011 in Barcelona.

The other project partners are:

  • Verint (Israel) (Project leader)
  • Ernst & Young (Israel)
  • Cap Gemini (Netherlands)
  • SwitchLegal (Netherlands)
  • VU University (Netherlands)
  • Industrial Research Institute for Automation and Measurements – PIAP (Poland)
  • Polish Telecom (Poland)
  • ZBP – Polish self-government organization of banks (Poland)
  • Financial Investigation Unit Romania (Romania)
  • FIU.NET (Netherlands)
  • Amsterdam University (Netherlands)
  • University of Wroclaw (Poland)

 

Grupo AIA’s role in the project is the development of a system of interpretation of financial alerts at FIUs, and the development of a financial analysis Link to help expose the financial networks of money laundering.

The project will run from 2011 to 2013.

http://www.hemolia.eu/

1 January, 2012 Proyectos No comments yet

EMILI

EMILI proyecto

The EMILI project (“Emergency Management in Large Infrastructures”) is a European project aimed at creating a new generation of control systems for large critical infrastructure (ICs) such as power grids, telecommunications systems, airports, subways, trains and pipelines. These ICs are currently experiencing substantial technical, economic, organizational, political and legal changes. Its importance in society is growing in all aspects, and the set of dependencies between them is growing more and more.

Under these conditions, we need a new form of control to provide security in ICs, especially in emergencies and crises. The EMILI approach is based on a new generation of technologies such as complex event processing (CEP), the active Web and the Semantic Web.
EMILI unites leading research groups in data management and operational management, complex event processing, reactivity, knowledge representation and SCADA systems with industrial partners that provide use cases and “know-how” for SCADA systems in airports, public transport, and electrical networks.

The other project partners are:

  • Fraunhofer Institut (Germany) (Project leader)
  • Skytec AG (Germany)
  • Asit AG (Switzerland)
  • CWI (Centrum voor Wiskunde en informatica) (Netherlands)
  • Ludwig-Maximilians Universität München (Germany)
  • Institut Mihajlo Pupin (Serbia)

 

Grupo AIA’s role in the project is the development of intelligent interpretation systems for real-time SCADA alarms and events in the grid.

The project ran from 2010 to 2012.

More info: http://www.emili-project.eu/

1 September, 2011 Proyectos No comments yet

ENERGOS

Energos

This project was part of the National Strategic Consortia for Technical Research (CENIT) to boost innovation and technological development in key areas of society.

The consortium formed for the project included the participation of major national companies in the area of smart grids and was led by Gas NaturalFenosa with a relevant role by Indra.

Grupo AIA’s role in the project included the following activities:

  • Development of algorithms for new operations for Smart Grids
  • Generation and geographical forecasting demand
  • Algorithms for smart grid operation planning
  • Socioeconomic Impact Assessment
  • Coordination of distributed intelligent network devices
  • Algorithms for automatic operation of the network
  • Development of unsupervised local intelligent algorithms for network control
  • Developing a probabilistic analysis methods contingency

 

The project ran from 2010 to 2012.

http://innovationenergy.org/energos/index.php

1 February, 2011 Proyectos No comments yet

SISCLAP

SISCLAP Proyecto Salud

 

The SISCLAP project’s objective is to obtain an SCP, which achieves capitation payment models, adjusted for the risk level of the beneficiaries of a health service. Thus it is intended to improve the efficiency of resources, reducing use and consumption and the differences between budgets and expenditure. As an added value seeks to improve the access of users of increased risk to the most efficient and necessary.

The SISCLAP project is basically based on the application of algorithms and predictive models (using artificial intelligence) for segmenting all patients operated on supercomputing infrastructure with a focus on improving the efficiency of the Spanish health system. This improvement will be through three related levels, which ordered from micro to macro: Professional Management, Strategic Management and Organization and Financing of health centres, and budget allocation of healthcare providers.

 

The “Ministerio de Industria, Energía y Turismo” of Spain, within the “Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2008-2011”, has funded the project SISCLAP.

 

SISCLAP consortium has been formed by:

  • FlowLab
  • Baladona Serveis Assistencials
  • Fundación Parque Científico de Murcia

 

 

Reference number : TSI-020100-2011-193

1 January, 2010 Proyectos No comments yet

Antonio Trías, co-founder of Grupo AIA, has been granted the U.S patent AGORA

Antoni Trías Bonet, the co-founder of Grupo AIA, has been granted the U.S. patent AGORA. AGORA is a new-generation Grid Management System (GMS) with intelligent observation features, built on a non-iterative breakthrough patented innovation load flow algorithm, HELM, that always provides the correct solution (if an operational physical solution exists), even near voltage collapse. The result is a robust set of tools to keep the network state even under the most difficult operational conditions.

Antoni Trías explains in an interview how the new HELM system provides all power flow calculations and accurate real-time PV and QV curve generation, performs reliable contingency analysis and support simulation in real-time.

4 June, 2009 Sin categoría No comments yet