About songs and drawings with Math and AI

Event registration is also at:
https://www.eventbrite.co.uk/e/about-songs-and-drawings-with-math-and-ai-israelclouds-aiml-forum-registration-74560912697

1st Session: How do you draw Math?
Those who studied advanced math won’t hesitate to discuss it in terms of “beauty”.
Mathematician Johnathan David Farley said: "You do not study mathematics because it helps you build a bridge. You study mathematics because it is the poetry of the universe. Its beauty transcends mere things."
How can you convey the beauty of math, to non-mathematicians?
In the lecture, we’ll review mathematical definitions and theorems, explain their meanings, and discuss how to translate them into art.
The lecture will be followed by a practical exercise where we’ll write a Python program to convert pictures into paintings using Voronoi decomposition.

2nd Session: Can you sing with all the voices of the features?
After this talk, you will know how to write the perfect song for your favorite singer! This is not a songwriting retreat but a talk about songs analysis and some of the lyrical, structural, harmonic and melodic features it includes. We will discuss the extraction of lyrical features using NLP tools, repetition analysis and how to combine different song structures.

Who can join us?
This session is for anyone who is interesting in math, artificial intelligence, and art. The lectures will contain a short technical part of python coding of the mentioned ideas.
It is recommended to bring a laptop for the live python coding demo, and a photo (with a white\bright non transparent background) that you want to convert.

Schedule:
18:30 - Gathering and mingling
18:45 - Welcoming
18:50 – Lecture #1: How do you draw Math?
19:40 - Break
19:50 – Lecture #2: Can you sing with all the voices of the features?
20:20 - Sayonara

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About the lecturer (Ayelet Sapirshtein):
Ayelet Sapirshtein is an algorithm developer and DL engineer at Axon Vision, a startup for AI solutions for defense industries. Ayelet is also an artist and writes a blog about creative coding https://ayeletsapirshtein.com

About the lecturer (Yama Anin Aminof):
Yama is a data scientist at MyPart, a startup in the music industry, researching lyrical and musical songs’ features. Yama has a B.Sc in mathematics and physics from Tel Aviv University where she also plays in the TAU Wind Band.