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The Distributed Artificial Intelligence Area is focused on fostering the application of Big Data and Artificial Intelligence technologies to create intelligent connectivity services and solutions. Some of the most important aspects that the area tackles are:
5G networks
IoT
Cybersecurity
Internet media contents
Configuration, management and operation of 5G networks are becoming extremely difficult processes. Through the Machine Learning it can be obtained a set of outputs that will adjust the 5G network dynamically.
AI detects patterns from the IoT data and learns how to adjust the behavior of IoT services and to improve the quality of IoT datasets through Machine Learning techniques.
By using different algorithms to parse and analyze data, Machine Learning empowers AI to detect patterns for the prevention of threats within the cybersecurity environment.
SPARK
HADOOP
ElasticSearch
TPU (Tensor Processing Unit)
Predictive Analytics
Deep Learning
Machine Learning
Heterogeneous data integration
ETL processes
Central open data repository
Tailored and secure access to shared data resources
Data preparation
Synthetic sensors
Platform as a Service
