In the last decades, the revolution of technology and the world digitalization has impacted societal functioning in manifold ways. Nowadays, artificial intelligence (AI) and machine-learning (ML) algorithms are omnipresent and play a fundamental role by changing the way we interact, communicate, learn and live. However, the rapid increase of ML algorithms in almost every aspect of our daily lives have brought new challenges. It is not only necessary to have an AI engine backing up our every day tasks but it is fundamental that our AI learns faster and better, so that we are left with only better decision-making to our problems at hand. This project aims to further develop core inference algorithms required for AI models, decreasing the necessity of large storage capacity and high computational processes while improving its learning ability. This is of paramount importance for a multitude of applications in science and society at large.

2022

2025