Cargando…
Knowledge Transfer Between Artificial Intelligence Systems
We consider the fundamental question: how a legacy “student” Artificial Intelligent (AI) system could learn from a legacy “teacher” AI system or a human expert without re-training and, most importantly, without requiring significant computational resources. Here “learning” is broadly understood as a...
Autores principales: | Tyukin, Ivan Y., Gorban, Alexander N., Sofeykov, Konstantin I., Romanenko, Ilya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099325/ https://www.ncbi.nlm.nih.gov/pubmed/30150929 http://dx.doi.org/10.3389/fnbot.2018.00049 |
Ejemplares similares
-
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
por: Gorban, Alexander N., et al.
Publicado: (2020) -
High-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
por: Tyukin, Ivan, et al.
Publicado: (2018) -
High-Dimensional Separability for One- and Few-Shot Learning
por: Gorban, Alexander N., et al.
Publicado: (2021) -
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation
por: Bac, Jonathan, et al.
Publicado: (2021) -
Neuromorphic artificial intelligence systems
por: Ivanov, Dmitry, et al.
Publicado: (2022)