The regulatory framework that puts on the table the 2030 agenda promotes an imminent transition to a more sustainable future. The link between energy efficiency and Artificial Intelligence (AI) is…
Computer vision is a branch of artificial intelligence that focuses on training machines to interpret and understand the visual world in a similar way to how humans do. It uses…
The electrical grid is an incredibly complicated system. We have internalized that when we press a button a light turns on, therefore we do not stop to think about the…
What is AutoML? What tasks does it facilitate? What limitations does it have? Introduction to Automated Machine Learning technologies from the analysis of all phases of a Machine Learning project in production.
The term "Logistics 4.0" was coined a few years ago in close association with the wider known "Industry 4.0" concept, which refers to successive industrial revolutions: from mechanization with steam engines, through electrification and computerization, and reaching the use of intelligent and automated systems based on data in the 4th revolution. In Logistics, the same evolution has been followed and it is now the moment in which Artificial Intelligence is beginning to be used to improve processes.