analitica avanzada seguros

How advanced analytics is a boon for insurance companies.

Advanced analytics is presented as the best way for insurance companies to prevent fraud, improve user´s experience and avoid churn.

23 July, 2019 Blog Comments Off on How advanced analytics is a boon for insurance companies.
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

siRFINDER, algorithms to identify target molecules

Grupo AIA has developed siRFINDER, a Machine Learning based software of siRNA molecules which has been successfully implanted by Sylentis, subsidiary of group Pharmarmar.

This software, co-financed by CDTI, is aimed at strengthening drug development based on RNA interference therapy. This tool developed by different Machine Learning algorithms is designed to generate thousands of specific compounds for disease treatment taking advantage of the ARN Interference technology (ARNi). This biomolecular technology enables silencing genes responsible for producing protein associated to specific diseases. Through this ARN interference technology, it is possible to prevent genes from developing as disease.

In a first phase of the project, the algorithms were performed for the selection of the best candidates in terms of their thermodynamic properties, possible body immune response, possible negative effects on the genes and possible modifications or mutations of the target gene. Consequently, we would know which molecules from all the siRNA molecules are the most effective for specific pathologies.

Reducing the number of molecules for further research and development, the time required is reduced by half, which enables Sylentis to develop innovative drugs in a shorter time and lower cost for the pharmaceutical company.

Among the main benefits for Sylentis is that siRFINDER maintains confidentiality of the targets and flow of information during the whole process, because the algorithms collect, clean and reinterpret the data generated by Sylentis describing the expected metrics the siRNA candidates must meet.

Grupo AIA and Sylentis will continue with the following phase of the siRFINDER Project which consists on developing an autolearning system designed to adapt it to the type of tissue it is addressed to.

15 January, 2019 Sin categoría Comments Off on siRFINDER, algorithms to identify target molecules

RAIN: Risk Analysis of Infrastructure Networks in Response to Extreme Weather

RAIN proyecto

RAIN project ´s objective is to provide operational analysis to identify the impact of extreme weather conditions on the components of critical infrastructure and minimize their effects on the E. U´s infrastructure networks.

RAIN has focused on ground infrastructure, particularly on ancillary infrastructure networks to identify cascading events and associated infrastructure problems. A key aspect of the analysis is the impact of climate change on vulnerable and old infrastructure.

The robustness of existing transport and energy networks to face changing weather conditions has been carefully analyzed. The capacity of this plan to respond beyond the borders has been guaranteed by the multidisciplinary consortium. The Project group has experience in climatology, operational analysis, transport economy, analysis and mitigation, as well as design and evaluation.

The RAIN consortium partners are:

  • THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN, TCD (Ireland).
  • GAVIN AND DOHERTY GEOSOLUTIONS LTD (Gavin and Doherty, Ge Ireland).
  • Istituto di Sociologia Internazionale di Gorizia I.S.I.G ISIG (Italy).
  • HELLENBERG INTERNATIONAL OY HELLENBERG (Finland).
  • TECHNISCHE UNIVERSITEIT DELFT TU (Delft, Netherlands).
  • APLICACIONES EN INFORMATICA AVANZADA SL (Spain).
  • ILMATIETEEN LAITOS ILMATIETEEN LAITOS (Finland).
  • European Severe Storms Laboratory e.V. ESSL (Germany).
  • ZILINSKA UNIVERZITA V ZILINE UNIZA (Slovakia).
  • ROUGHAN & O’DONOVAN LIMITED ROD (Ireland).
  • UNION FENOSA DISTRIBUCION SA UFD (Spain).
  • FREIE UNIVERSITAET BERLIN FUB (Germany).
  • PRAK PETER LEONARD PSJ (Netherlands).
  • COMYOURIS (Belgium).
  • DRAGADOS SA (Spain).

 

GRUPO AIA provided expert knowledge in electrical grids network and telecommunications infrastructure. It designed and developed an extreme weather risk assessment tool with an incident forecasting module of infrastructure network and elements.

The project was developed between 2014 and 2017.

Further information of the project:

slideshare.net (in English)

https://github.com/grupoaia/rain-fp7 (in English)

 

RAIN proyecto

This Project has been funded by the Seventh Program of the European Union for research, technological development and demonstration under grant agreement No. 608166

Further information of the Project click http://rain-project.eu

1 January, 2016 Proyectos No comments yet

PREEMPTIVE: METODOLOGÍA PREVENTIVA Y HERRAMIENTAS PARA PROTEGER LOS SERVICIOS PÚBLICOS

PREEMPTIVE

 

El objetivo de PREEMPTIVE (Proyecto de capacidad FP7-SEC-2013-1: Sistemas de protección para redes de servicios públicos) es proporcionar una solución innovadora para mejorar los métodos existentes y concebir herramientas para evitar los ciberataques, que se dirigen a redes de servicios públicos. PREEMPTIVE aborda la prevención de ataques cibernéticos contra sistemas de hardware y software tales como DCS, SCADA, PLC, sensores electrónicos en red y sistemas de monitoreo y diagnóstico utilizados por las redes de servicios públicos. Además, el objetivo de la investigación es implementar herramientas de detección basadas en un enfoque dual que comprenda detección de baja detección directa y detección de mal comportamiento del proceso.

El proyecto PREEMPTIVE cumple con 5 objetivos previamente planteados:

  1. Mejorar los marcos existentes de seguridad metodológica y prevención con el objetivo de armonizar los métodos de evaluación de riesgos y vulnerabilidades, las políticas estándar, los procedimientos y las reglamentaciones o recomendaciones aplicables para prevenir los ciberataques. La metodología PREEMPTIVE propuesta tendrá en cuenta las soluciones tecnológicas innovadoras previstas para prevenir y detectar ataques de día cero.
  2. Definir pautas para mejorar la vigilancia de Infraestructuras Críticas (IC).
  3. Diseñar y desarrollar herramientas de prevención y detección se quejan del doble enfoque que tiene en cuenta tanto el análisis del mal comportamiento del proceso industrial (dominio físico) como las anomalías de comunicación y software (dominio cibernético):
    • Detección de mala conducta en el proceso industrial.
    • Prevención y detección de amenazas relacionadas con la comunicación y el software.
    • Además, se desarrollarán nuevas técnicas, a continuación referidas como “basadas en el host”, para enfrentar nuevas formas de transmisión a través de los dispositivos utilizados en el día a día de los negocios.
  4. Definir una taxonomía para clasificar las redes de servicios teniendo en cuenta:
    • La sensibilidad de la red de servicios públicos a las amenazas cibernéticas.
    • El tipo de red de servicios públicos y la tecnología de comunicación utilizada.
    • El impacto sobre los ciudadanos de la falta de disponibilidad de los servicios causada por un ataque cibernético a una red de servicios públicos.
  5. Validar el marco PREEMPTIVE y las tecnologías innovadoras en escenarios reales. Se realizará una validación previa en un entorno emulado.

El consorcio PREEMPTIVE está formado por los siguientes socios:

  • Vitrociset S.p.A. (Coordinador)
  • Harnser Ltd
  • SecurityMatters BV
  • Universidad de Twente
  • HW Communication Limited
  • Università degli studi Roma Tre
  • Katholieke Universiteit Leuven (ICRI)
  • Israel Electric Corporation Limited (IEC)
  • Aplicaciones en Informática Avanzada S.L.
  • Red Europea de Ciberseguridad (ENCS) U.A.
  • Fundació Institut de Recerca de l’Energia de Catalunya
  • Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung E.V.

 

Papel de Grupo AIA en el proyecto:

Grupo AIA utilizará su experiencia en el reconocimiento de patrones (y en particular en las infraestructuras eléctricas) para detectar estados físicos (descritos por un conjunto de mediciones) que no pertenecen al conjunto normal. Grupo AIA contribuirá también a desarrollar una metodología de defensa. Además, Grupo AIA lidera WP5 (y participa como colaborador), donde se modelan y simulan escenarios de referencia de amenazas.

 

RAIN proyecto

Este proyecto ha recibido financiación del Séptimo Programa de la Unión Europea para investigación, desarrollo tecnológico y demostración en virtud del acuerdo de subvención N ° 607093

Más información en:  http://preemptive.eu/

1 January, 2016 Proyectos Comments Off on PREEMPTIVE: METODOLOGÍA PREVENTIVA Y HERRAMIENTAS PARA PROTEGER LOS SERVICIOS PÚBLICOS

APLICACIONES EN INFORMÁTICA AVANZADA, SOCIEDAD LIMITADA. JUNTA GENERAL ORDINARIA Y EXTRAORDINARIA

Doña Regina María Llopis Rivas, Administradora Única de la Compañía APLICACIONES EN INFORMÁTICA AVANZADA, S.L., convoca la Junta General Ordinaria y Extraordinaria de Socios, que se celebrará en el domicilio social de la Compañía, sito en Edificio ESADECREAPOLIS, Av. de la Torre Blanca, 57, 08172, Sant Cugat del Vallès (Barcelona), el día 23 de junio de 2017, a las 10:30 horas

CONVOCATORIA Y ORDEN DEL DÍA DE LA JUNTA GENERAL ORDINARIA Y EXTRAORDINARIA APLICACIONES EN INFORMÁTICA AVANZADA, S.L.

12 June, 2015 Sin categoría Comments Off on APLICACIONES EN INFORMÁTICA AVANZADA, SOCIEDAD LIMITADA. JUNTA GENERAL ORDINARIA Y EXTRAORDINARIA

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