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.
Leveraging Large Language Models for Financial Predictions
FAME project blog
In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance
IEEE
Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.
Application of Artificial Intelligence Techniques for the Creation of Novel Services Based on Connected Vehicles
Book: Intelligent System Solutions for Auto Mobility and Beyond
New technologies have been progressively integrated into vehicles during the last thirty years.
An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
MDPI Sensors
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.
End-to-end security assessment framework for connected vehicles
Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa
Artificial Intelligence as the second phase for IoT
ATOS Blog:
https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1