Laura Millán García presents at the EVOSTAR 2021 Congress the work entitled “Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming”.

The session will take place on April 8 at 12:30 in room 9C: EvoAPPS.room 9C: EvoAPPS 7 – Image Analysis & Signal Processing. Please find attached theprogram of the event where you can consult the Abstract of the paper and the video with thethe video with the presentation for those who cannot see it live.see…

Continue reading Laura Millán García presents at the EVOSTAR 2021 Congress the work entitled “Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming”.

Application of Neural Network-based Image Classifiers in Space Weather (e-CALLISTO)

Micro-Stress-MAP collaborates with the CELESTINA* project (Castillian E-Callisto Leading Experimentation in Solar-Terrestrial Interaction with Novel Antennas, https://celestina.web.uah.es) in the detection of solar flares within the international network of e-CALLISTO radio-spectrometers (http://www.e-callisto.org). *Responsibles: Manuel Prieto (Universidad de Alcalá de Henares), Javier Bussons (Universidad de Murcia), Christian Monstein (Istituto Ricerche Solari Locarno).

Neutron diffraction experiment approved at FLNR pulsed reactor, Dubna, Russia

The Micro-Stress MAP Project team has gained acceptance of a neutron diffraction experiment for the determination of microscopic residual stresses in aluminum samples subjected to high annealing times (500h). The experiment will be performed on the FSD instrument of the Frank Laboratory on Neutron Phyics JINR (Dubna, Russia) during April 2021. The FSD diffractometer (Fourier…

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Holding of a working meeting between the University of Extremadura and Absys.

On February 18, a working meeting was held between the GEA group of the University of Extremadura and the Absys group of the Complutense University of Madrid in relation to the Micro-Stress-MAP project. Work has continued on the development of evolutionary algorithms in relation to the project and future meetings have been planned to be…

Continue reading Holding of a working meeting between the University of Extremadura and Absys.

Funding for the third year of the Micro-Stress-MAP project has been granted.

The Directorate General for Research of the Community of Madrid has granted funding for the third year of the project for a total of 72,000 €. Considering the information available up to this moment, the results of the evaluations of the scientific-technical follow-up and the economic-administrative justifications presented, the Directorate General has proposed the continuity…

Continue reading Funding for the third year of the Micro-Stress-MAP project has been granted.

Paper accepted for presentation and publication at the EvoStar 2021 Congress.

The paper Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming signed by project members Laura Millán García, Gabriel Kronberger, Jose Ignacio Hidalgo Pérez, Ricardo Fernández Serrano, Oscar Garnica and Gaspar González Doncel summarizes the latest advances of the Micro-Stress-MAP project. The conference is the main European…

Continue reading Paper accepted for presentation and publication at the EvoStar 2021 Congress.

Absys receives the UCM-Roche Institute Foundation Research Award

The Absys group (Adaptive and Bioinspired Systems) of the Complutense University of Madrid, a group participating in the Micro-Stress-MAP CM project, has been distinguished with the UCM-Roche Institute Foundation Digital Health Award. This award aims to recognize the scientific work of researchers at the Complutense University of Madrid in the advancement of knowledge and development…

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User Manual for GPU-based AI Architectures

Micro-stress makes available to interested researchers a user manual for GPU-based architectures managed by NVIDIA’s DIGITS platform.Digits is a tool for training and querying artificial intelligence models based on neural networks. The system uses GPU architectures to accelerate processes and enable the training of more complex networks. This manual explains in a clear and step-by-step…

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Installation Manual for GPU-based AI architectures

Micro-stress makes available to interested researchers an installation manual for NVIDIA’s DIGITS tool.Digits is a tool for training and querying artificial intelligence models based on neural networks. The system uses GPU architectures to accelerate processes and enable the training of more complex networks. This manual explains in a clear, step-by-step manner how to prepare and…

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