ArgIA - Aprendizaje eficiente en la Inteligencia Artificial aplicada a la industria

No photo
BCAM principal investigator: Elena Akhmatskaya
BCAM research line(s) involved:
M3A
Reference: KK-2019/00068
Coordinator: Tecnalia
Partners: UPV/EHU - University of Basque Country
Vicomtech
BCAM - Basque Center for Applied Mathematics
Duration: 2019 - 2020
Funding agency: Basque Government (ELKARTEK)
Type: Regional Project
Status: Closed

Objective:

The general objective of the ArgIA project is to generate efficient learning methods for artificial intelligence applications in industry, in such a way as to conserve or increase the performance of the algorithms, drastically reducing both the volume of data required and the development time of such projects.

Related Projects

No photo MATH4SPORTS

MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento

Research area:
Data Science & Artificial Intelligence (DS)
Research line:
Applied Statistics (AS)
Type: Regional Project
Status: Ongoing Project

MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.

Photo not available
BCAM principal investigator: Dae-Jin Lee
No photo M-KONTAK

M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión

Research area:
Mathematical Modelling with Multidisciplinary Applications (M3A)
Research line:
Modelling and Simulation in Life and Materials Sciences (MSLMS)
Type: Regional Project
Status: Ongoing Project

The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo

Photo not available
BCAM principal investigator: Elena Akhmatskaya
No photo KAIROS

KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos

Research area:
Computational Mathematics (CM)
Research line:
CFD Modelling and Simulation (CFDMS)
Type: Regional Project
Status: Ongoing Project

KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the

Photo not available
BCAM principal investigator: Marco Ellero
No photo CHARGER+

CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero

Research area:
Data Science & Artificial Intelligence (DS)
Research line:
Machine Learning (ML)
Type: Regional Project
Status: Ongoing Project

The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva

Photo not available
BCAM principal investigator: Santiago Mazuelas