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The REAL project aims to develop reliable and cost-effective machine learning algorithms suitable for modern computational architectures. It addresses the challenges of increasing data volumes and limited resources, focusing on enhancing prediction reliability and efficiency in various applications.
In the last decade, machine learning (ML) has become a fundamental tool with a growing impact in many disciplines, from science to industry.
However, nowadays, the scenario is changing: data are exponentially growing compared to the computational resources (post Moore's law era), and ML algorithms are becoming crucial building blocks in complex systems for decision making, engineering, science.
Current machine learning is not suitable for the new scenario, both from a theoretical and a practica…
UNIVERSITA COMMERCIALE LUIGI BOCCONI
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