In statements to EFE, David Ríos insisted that this mathematical constant appears in practically all scientific disciplines due to the properties and solutions that it provides to each of them, and however he considered that many of these properties are still unknown and that many of the Solutions to some challenges facing humanity (economic, medical or security) are behind mathematics.

Although Pi Day has been celebrated unofficially for several decades, **In the United States, it became official in 2009 with the approval of a resolution in the House of Representatives, and UNESCO incorporated it into its calendar, also officially, five years ago, although with the more generic title of “International Women's Day.” Math”**.

Through this determination, UNESCO sought to educate that the success of Internet search engines depends on mathematical algorithms, that secure communications are based on the theory of numbers, or that some medical devices (MRI or scanner) They start from the collection of numerical data that an algorithm transforms into images.

The decoding of the human genome was a scientific milestone supported by statistics, computer science and mathematics, which are transforming computer vision, automatic translation or autonomous vehicles and are used to understand how epidemics spread, to design systems and legislation. electoral or to better understand natural risks and prevent disasters.

With the focus on the relevance of mathematics, Pi Day is celebrated every March 14. The mathematician David Ríos explained that it is a “transcendent”, “irrational” and “infinite” number and that it will always be like this although each year progress is made in the knowledge of the number of decimals that accompany 3 and that are already located, although the sources differ greatly, by more than 60 billion.

David Rios **highlighted the presence of mathematics in general, and pi in particular, in practically all disciplines of science and technology, and specifically referred to machine learning and artificial intelligence**to emphasize that one of the ways that algorithms “learn” is based precisely on the normal distribution.

These algorithms – a computer expression based on mathematical methods – are capable of making recommendations in Internet searches – even anticipating what a person is searching for -, medical predictions or suggestions for songs or readings based on “logical” deductions to which which arrives in a mathematical way after collecting a lot of numerical data (previous purchases, similar tastes of people with a similar profile, etc.).

The researcher assured that the algorithms “do not have biases”, but the data with which they are trained and with which they learn does, and in this sense he has defended the importance of promoting “equity, justice and the absence of bias” in those trainings.

And looking to the future, he did not hesitate to point out that the main challenge facing mathematical science, at a theoretical level, is the resolution of the “Millennium Problems” that have not yet found a solution and from which many will be discovered. new concepts; and at the applied level, the “maximum likelihood” paradigm would allow much more accurate predictions and probabilistic calculations to be made, which will be “extremely useful” – he noted – in areas such as economics, medicine or security.

On the occasion of Pi Day, the State Research Agency has released information: since 2018, it has funded 538 research projects in mathematical sciences with more than 30 million euros aimed, among other objectives, at developing prevention systems. of natural disasters, biomarkers that allow obtaining a virtual biopsy to diagnose cases of breast cancer or prediction algorithms that avoid discrimination due to data bias.