Grupo AIA develops algorithms for Quantum Cryptography

AIA’s Innovation Team has completed a software library for post processing in Quantum Key Distribution. With this software, the Institute of Photonic Sciences (ICFO) will be able to implement fully secure communications over conventional optical fiber. Quantum Cryptography is posed as a key technology to replace current cryptographic methods, which face a growing risk of becoming obsolete because of the rapid advances in Quantum Computing.

A thesis transferring neutrino ´s experience to the industrial sector

Last November 27th, Sebastian Piña Otey has successfully defended his doctoral thesis entitled “Deep learning and Bayesian techniques applied to Big Data in the industry and neutrino oscillations”. Although this doctorate thesis is physics centered, there is also an industrial component developed with AIA within the industrial doctorate program framework sponsored by the Catalonian Government called: “Doctorats Industrials de la Generalitat. Sebastian ´s thesis, codirected by Vicens Gaitan, AIA´s representative, along with Thorsten Lux, neutrino´s team main researcher from the Institut de Física d’Altes Energies (IFAE), has developed a project that connects neutrino oscillations (mentioned in a previous blog post) with cutting-edge Deep Learning technology.

The thesis has focused on a new approach for data analysis and extraction of relevant information for the T2K neutrino experiment (Tokai to Kamioka) in Japan. In particle physics experiments, and more particularly, neutrino experiments, data analysis has three main components: detectors´ direct data processing, theoretical model simulation and model parameters determination. These three key aspects are essential for a rigorous and correct scientifically based results´ delivery. Sebastian ´s research had an impact on all three aspects by introducing different proofs of concepts of new technologies.

Firstly, he has successfully implemented an algorithm of Graph Neural Networks to help detecting not physic ambiguous signs during the simulation of a T2K future detector. As a result, the effect on the neutrino can be rebuilt correctly, increasing the performance as compared to traditional techniques. (The paper has been submitted to the Physical Review D and is currently under evaluation. Pre-publication can be download at https://www.tdx.cat/ )

Secondly, Sebastian has combined the normalizing flows technology, invertible neural networks that allow to evaluate and generate data from a probability distribution based on traditional statistical techniques, rejection sampling under the algorithm of Exhaustive Neural Importance Sampling (ENIS). More precisely, along with his supervisors, they have applied ENIS to generate data from a typical neutrino event in T2K, the interaction called charged-current quasi-elastic (CCQE). This paper was published on July 16th in the Physical Review D

Finally, as mentioned in our previous blog post, the normalizing flows were used to determine the parameters of the two neutrino flavors oscillation model. This paper was also published in the Physical Review D on June 2nd

However, the experience gained by the somewhat exotic application of the neutrino oscillations was also transferred to the industrial field. Sebastian and Vicens worked with Red Eléctrica Española through Elewit and could show the impact and value added of these techniques on potential projects of our clients. Thus, Sebastian has successfully achieved our first industrial doctorate, potentiating AIA´s relation with the IFAE and showing the contribution of the industrial sector to pure research.

computing

Grupo AIA takes part in the DNA project developed by Adolfo Domínguez

Adriana Domínguez, as executive president of Adolfo Domínguez, made public in an online press conference last June 19th, the DNA project kick-off in which Grupo AIA has participated as the technological provider. Based on Artificial Intelligence, a recommendation algorithm combined with the experience of Personal Shoppers of Adolfo Domínguez, have allowed them to choose clothe items and accessories, adapted to each of its customers, and send them to their homes without trying them on or going to a shop.

Grupo AIA is pleased to have participated in the project for the retail sector and provided its 30 years´ experience in the development of Artificial Intelligence based applications and data analytics. This Project opens up.new collaboration opportunities between Adolfo Domínguez and Grupo AIA, as the Spanish fashion firm has showed its commitment to innovation as the way to improve its relationship with its customers.

Access to the new DNA service at https://www.adolfodominguez.com/es/adn.

Regina Llopis participates in the event «The sum of Intelligences» organized by the UdG

Last May 26th, Regina Llopis, President of Grupo AIA, took part in the online event coordinated by the Universidad de Girona titled «The sum of Intelligences».

More information at www.udg.edu/es/suma-intelligencies and hashtag Twitter  #congrésdigitalSI.

software grupo AIA-ASISA

ASISA and Grupo AIA agree to develop jointly AI-based software

Grupo AIA and ASISA have signed an agreement to develop jointly artificial intelligence-based software aiming at improving efficiency and dynamism of the insurance company´s management processes and ultimately to meet its customers and insurers´ needs.

The project´s kick-off between Grupo AIA and ASISA, a leading health insurance company with the best Net Promoter Score, NPS[i], is aimed at developing innovative software based on basic science (Physics and Mathematics) and Data Science to meet their business needs. This knowledge transfer will enable Grupo AIA to provide intelligence to ASISA´s business processes through advanced analytics methodologies such as Machine Learning.

Grupo AIA focused on solving management efficiency of medical actions at this phase of the collaboration project, will deploy a Machine Learning-based tool that will make medical actions management more efficient and ASISA will be able to make wiser decisions that will benefit its customers. Grupo AIA´ s contribution based on the state-of-the-art Artificial Intelligence technology will help to improve the insurance company´s management and control processes in this business area.

This collaboration project is framed within ASISA´s technological transformation across business processes impacting on both, welfare and management activities´ efficiency and effectivity improvement as well as customers´ satisfaction. The ultimate goal of this process for the company is to provide customers a total digital service including the whole process from services contracts to their management.

[i] Braintrust ´s Observatory of Health Competence.