So thank you very much for your time and for joining this new edition of the Novel

Lecture Series.

For this great pleasure we have today Paolo Semino from Polifenico de Milano, the most

literate that you certainly will know.

Paolo won a diploma in aeronautical engineering in Milano and then he moved to the USN, where

he got a PhD on the chair of Afero Quateroni that he was known for.

He was one of the first speakers in this day-to-day curriculum.

He moved back to later to polychaete learning in Milano, which is now a couple of years

away.

Paolo is a professor at the University of Milano and has seen what is the role of the

audience of interest in computational mathematics and computational engineering.

More recently, as many others, he got more interested in how machine learning can help

us to get from the beginning to the end.

So how can we enhance the effectiveness of our model in computational capabilities by

machine learning tools.

I had a colleague who recently moved to the University of Milano, and he was very interested

in this.

He said to me, he wanted to be one of the very few that understands the importance of

computational mathematics.

He was kind enough to accept our invitation to visit us to deliver this talk, in which

we precisely, I think in a context like ours, in a dissemination manner, started to develop

a model that was very interesting to us.

Thank you Paolo.

Thank you very much.

Thank you very much.

Let me start saying that for me it is very good to be here at the Research Center for

Mathematics and Data.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

I am very happy to be here.

Let me start saying that for me it is a great honor to be here at the Research Center for

Mathematics and Data.

I think the concept of the Center is very timely and important in this moment for math and

for applying math.

And also it is a real honor to be a guest of Professor Tuathula.

So today I will present some topics about the interaction of computational knowledge