Preserving data privacy in Machine Learning pipelines with Federated Learning

FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm

MDPI Agronomy Journal
As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.