5. Glossary
Learning with a small amount of data; few-shot learning
Artificial intelligence method that enables a model to learn to solve a task using very few examples. Unlike conventional approaches requiring thousands of data sets, low-data learning seeks to mimic the human ability to generalize a decision or prediction, etc., from just a few cases: this makes it useful in fields where data is scarce or expensive to collect.
Transfer learning
Transfer learning involves reusing a model trained on one task to adapt it to another, with little new data. This saves time and resources, as the model has already learned useful representations. For example, a network trained to recognize animals can be adjusted to identify plants by changing only the last few layers.
Biais algorithmique; algorithmic bias...
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Glossary
Afterword
Bibliography
Directory
Organizations – Federations – Associations (non-exhaustive list)
AI for Humanity
https://www.inria.fr/sites/default/files/2021-06/PNRIA-Flyer_National_EN.pdf
Association Aristote
Symposiums and conferences
Distributed Event-based Systems
https://dl.acm.org/conference/debs
International Conference on Big Data
https://ieeexplore.ieee.org/xpl/conhome/1802964/all-proceedings
...
Scientific journals
Applied Intelligence
https://link.springer.com/journal/10489
Artificial Intelligence
https://www.sciencedirect.com/journal/artificial-intelligence
Artificial Intelligence...
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