The consortium formed by FORD, NUTAI and IDAL-UV has won the project MAPIIA: Advanced Monitoring of Industrial Processes through Artificial Intelligence (Monitorización Avanzada de Procesos Industriales Mediante Inteligencia Artificial) (Exp. INNEST/2021/362).
The Agència Valenciana de la Innovació (AVI), within the program of the action co-financed by the European Union through the Operational Program of the European Regional Development Fund (ERDF) of the Comunitat Valenciana 2014-2020 grants to the consortium formed by FORD, NUTAI and IDAL a subsidy to develop the MAPIIA project. This project of Advanced Monitoring of Industrial Processes through Artificial Intelligence (MAPIIA), framed in the Program of Strategic Projects in Cooperation, deals with the creation of a generic and multiplatform cyber-physical prototype digitization system, capable of monitoring and predicting failures in an industrialized environment through the use of advanced artificial intelligence techniques.
This project will enable the digitization of the critical points of a production line through the acquisition, processing and analysis of digitized data obtained from various types of equipment performing very different manufacturing operations. Through the analysis with Machine/Deep Learning and descriptive statistics techniques, valuable information will be extracted that will help, on the one hand, to make intelligent decisions in terms of failure prediction and, on the other hand, to plan work orders to carry out these maintenance tasks. In this way, the system will be able to help decision making to reduce costs in internal maintenance procedures in industrial plants, as well as to optimize the production process and improve the quality of the final product by predicting failures.
This project advances in the line of industrialization 4.0, which both FORD and NUTAI follow in their business strategy of innovation and development. On the other hand, the third partner, IDAL-Universitat de València, will reinforce the support in the Machine/Deep Learning area.
IDAL members collaborate on a research project on the topic “advanced monitoring of industrial processes using Artificial Intelligence”, financed by the ERDF funds of the Valencian Community. This project is devoted to the creation of a generic, cross-platform, cyber-physical prototype digitization system capable of monitoring and predicting faults in an industrialized environment using advanced artificial intelligence techniques.
The project started on June 2021 and will finish on June 2023.
The paper entitled ‘Single trajectory characterization via machine learning’ co-authored by IDAL member José D. Martín-Guerrero has been selected by the publisher as one the top five published in 2020 according to its quality, interest awakaned in readers, downloads and citations. The paper proposes a Machine Learning approach to accurately characterize single trajectories in diffusion mechanisms. The research was carried out in collaboration with the Research Institute for Photonic Sciences, ICFO.
IDAL member Prof. José D. Martín-Guerrero, and Prof. Dr. Lucas Lamata, from Universidad de Sevilla, are Guest Editors of a special issue in the journal Applied Sciences on Machine Learning and Physics. The deadline is 31st October 2021. We are welcoming original research papers, mini-reviews and perspective articles dealing with aspects in the fuzzy border between Physics and Machine Learning, particularly Quantum Machine Learning, Physics-inspired Machine Learning algorithms and applications of classical (and quantum) Machine Learning for different Physics applications. More info at https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Physics.
IDAL member Prof. José D. Martín alongside Prof. Paulo J. G. Lisboa from Liverpool John Moores University and Dr. Alfredo Vellido from Universitat Politècnica de Catalunya are organizing a special session for the International Joint Conference on Neural Networks, to be held virtually from 18th to 22nd July 2021. The title of the special session is “Transparent and Explainable Artificial Intelligence (XAI) for Health”. The deadline for paper submission is 15th January. More info at https://www.cs.upc.edu/~avellido/research/conferences/IJCNN2021-ssTranspXAI4Health.html
IDAL has presented a virtual conference on Data Science and its impact on Small and Medium Enterprise (SME). The talk was fostered by enterprise association FECAP. The slides and material used in the conference can be downloaded in the following links:
IDAL has contributed in the conferences “Open Science for Citizens and Country Development” with a conference titled Data Science, the new environment for the forthcoming society”, presented by Rafael Magdalena and held at Aras de los Olmos (Valencia) as a session of Seasonal Universities program from the University of Valencia. This program aims to bring the public university close to the countryside of the Comunitat Valenciana, taking knowledge from researcher and Academy to country citizens. This Seasonal University deal with current news themes of interest for the country towns, and are free for residents thanks to the support of the Diputacion of Valencia.
The Seasonal Universities are a meeting point for lectures, professionals, students, technician and politicians, and also for citizens interested on their own town and country. This is an initiative open to the broad public, expecting to transfer the know-how of the university to the people, to foster the presence and commitment of the UV with the country and bring research, training and knowledge beyond the classroom.
IDAL was present at the prestigious European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020). The conference was supposed to be held in April as usual, but due to COVID-19 situation, the conference was postponed to 2nd-4th October, and eventually held online. IDAL made two contributions. José D. Martín-Guerrero organized a special session on Quantum Machine Learning with Prof. Lucas Lamata (University of Seville) and presented a tutoral on that topic. Óscar J. Pellicer-Valero presented one of the results of his PhD, in particular, a novel idea to enhance the resolution of Convolutional Neural Networks with applications to medical image segmentation.
Rafael Magdalena, IDAL member attended an interview presenting a Machine Learning introduction that will be hold within next weeks in Expociencia, the Science Fair fostered by Parc Cientific at the University of Valencia. During the Fair, prof. Emilio Soria will teach a lesson about Machine Learning to teenagers.
Like every year, the Science Park of the University of Valencia celebrates its Open Day, a celebration of science with fun activities for all ages and an opportunity to see first-hand the scientific and research activity that takes place in this space for innovation. More info in https://www.facebook.com/expociencia.pcuv
The Department of Astronomy and Astrophysics at the University of Valencia organises next month a cycle of conferences on Cosmic Architecture in which several professors of the IDAL Group participate. The conferences will be held online and are recognized as 1 free choice ECTS credit.
Dates of the conferences: November 5, 12, 19 and 26, 2020 at 7:00 pm