PyData Warsaw #24

We would like to put back PyData Warsaw to the landscape of data-related meetups for good, so here is another event we would like you join with us. This time we also meet at Politechnika Warszawska.

18.00 - Oleg Żero - "How can you reach an AGI in your garage?"

About Topic: Today's AI models are becoming a commodity, allowing us to automate simple and repeatable tasks.
But how does the situation look when problems require creativity?
To what extent can creative thinking be delegated to AI, and how much would it cost to work around it to achieve satisfactory results?During my presentation, I will discuss the issue of "bringing the pieces together".
Given a rather simple example of creative production, whose quality I will leave to you to evaluate..., I am going to show you
my approach and what challenges I have been facing.
In particular, we'll cover the topics of:
* automating AI models' inference via agent programming,
* the choice of selecting frameworks and tools,
* approaching programming that is experimental but also produces usable code,
* setting up the workstation.

About Speaker: Data scientist and machine learning engineer by profession. As I say, I like to extract meaning from data. In my day to day life, I deliver practical solutions to various businesses that are based on machine-learning and artificial intelligence. I have graduated from Royal Technical Academy (KTH) in Stockholm as a Photonics Engineer. Throughout my career, I participated in both industrial, as well as academic and start-up settings. Privately, I am a father and husband, passionate about near and far travelling and all kinds of garage made-up technology of my own production.

18:45 - Adrian Boguszewski, Intel - "Beyond the Continuum: The Importance of Quantization in Deep Learning"

About Topic: Quantization is a process of mapping continuous values to a finite set of discrete values. It is a powerful technique that can significantly reduce the memory footprint and computational requirements of deep learning models, making them more efficient and easier to deploy on resource-constrained devices. In this talk, we will explore the different types of quantization techniques and discuss how they can be applied to deep learning models. In addition, we will cover the basics of NNCF and OpenVINO Toolkit, seeing how they collaborate to achieve outstanding performance - everything in a Jupyter Notebook, which allows you to try it at home.

About Speaker: AI Software Evangelist at Intel. Adrian graduated from the Gdansk University of Technology in the field of Computer Science 8 years ago. After that, he started his career in computer vision and deep learning. As a team leader of data scientists and Android developers for the previous two years, Adrian was responsible for an application to take a professional photo (for an ID card or passport) without leaving home. He is a co-author of the LandCover.ai dataset, creator of the Debug Image Viewer Plugin, and a Deep Learning lecturer occasionally. His current role is to educate people about OpenVINO Toolkit. In his free time, he’s a traveler. You can also talk with him about finance, especially investments.

20:00 - After Party in "Pizza przy Politechnice"

Venue:
Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4
Room 3.12 (3rd Floor)