
Basic data
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IVACE/FEDER
Standardized work environment for Machine Learning and Pattern Recognition projects.
IVACE/FEDER
The objective of the AITANA project is the definition and implementation of a methodological environment supported by a set of tools for a correct, efficient and adequate development of this kind, from its initial exploratory analysis, through its training in computational nodes, to its final deployment in production. In this way, research, development and experimentation are facilitated, facilitating the development of predictive Artificial Intelligence (AI) and Machine Learning (ML) models. he main outcome of the project will be an innovative artificial intelligence and machine learning framework that compiles and provides a set of tools and libraries to facilitate model development. Additionally, the framework aims to facilitate the subsequent use and validation of these models in order to obtain from them new algorithms and artificial intelligence or machine learning applications.
Thus, within the framework of this project, new methodological procedures and technologies in the field of Artificial Intelligence (AI) and Machine Learning (ML) will be researched and developed for the construction of this work environment.
The objective of the AITANA project is the definition and implementation of a methodological environment supported by a set of tools for a correct, efficient and adequate development of this kind, from its initial exploratory analysis, through its training in computational nodes, to its final deployment in production. In this way, research, development and experimentation are facilitated, facilitating the development of predictive Artificial Intelligence (AI) and Machine Learning (ML) models. he main outcome of the project will be an innovative artificial intelligence and machine learning framework that compiles and provides a set of tools and libraries to facilitate model development. Additionally, the framework aims to facilitate the subsequent use and validation of these models in order to obtain from them new algorithms and artificial intelligence or machine learning applications.
Thus, within the framework of this project, new methodological procedures and technologies in the field of Artificial Intelligence (AI) and Machine Learning (ML) will be researched and developed for the construction of this work environment.