Last minute meetup anyone? 😉

Attention: new Times! Doors open 18:00, talks start ~18:30

Let's gather again - in person and enjoy some talks and some drinks.

Schedule

(estimated)

18:00 Doors Open, snacks and get together

18:30 Talks begin, 2 Talks a ~20-30mins each

~19:30 Break

~20:00 1 Talk ~20-30mins

~20:30 Lightning Talks (5mins each)

Finding the way

We'll be in a space of SAP.io Foundry inside the SAP Data Space building.

To get to the space you need to get into the backyard and then go to the 2nd floor, there will be signs. You can check this handy map.

Health & Safety

Be considerate of other people and their space and preferences. There is no mask mandate, but feel free to wear one.

Food & Drinks

Food and Drinks will be available courtesy of our host Datarade. Food will be Pizza, and as always - first come, first served!

Temas

Debugging and debuggers in Ruby 3.1

One of first steps in learning a programming language is discovering how to debug that pesky issue in the middle of our program. Why the code execution isn't entering my if statement? What is the value of my_variable? Why Ruby, whyyyy???

Some developers are happy to debug by just puts'ing their way to the solution, others like to poke variables in a REPL or debug frames step by step. All in all, debugging is a means to an end: getting your code to work as you've expected.

In this talk we aim to first clear up some misconceptions about debuggers and understand what is available for us in the Ruby ecosystem. In the Ruby 3.1 release, there are improvements to the "debug" gem with a lot of nice features that might make you reconsider doing step debugging again, in case you aren't already.

As a fellow "throw a pry here and there" debugger, I was impressed to see all this progress happening and hope you'll too!

How does AI really work? A speedrun of deep learning architectures

In this talk, we explore how AI works under the hood. We start with the basics of artificial neural networks, and then speedrun through all the major types of architectures used for different tasks, such as computer vision, speech recognition, and natural language processing.

No previous machine learning knowledge is assumed. We will try to cut through the hype and the jargon to show how things actually work.

Given the limited time, the aim is a high-level understanding of the models. Hopefully, this will give you enough information to decide for yourself whether to delve deeper, or to sit this one out.

Reflections on Open Source

Extension and partial summary of my Stories in Open Source talk. Extended with new parts, old parts will be summarized.

New stuff mostly looks at part of the burden of Open Source and the Open Source // Life Balance.

Last minute editions have last minute talks 😅

Participantes: (34)

Organizer

Tobias Pfeiffer
Eventos: 101
Temas: 15

Kasper Stöckel
Eventos: 2
Temas: 0

Mikhail Kosivchenko
Eventos: 2
Temas: 0

Sunito Sven Suska
Eventos: 11
Temas: 0

Chikahiro Tokoro
Eventos: 8
Temas: 1

Christoph Grabo
Eventos: 83
Temas: 1

Finn Pauls
Eventos: 1
Temas: 0

Michael Reinsch
Eventos: 30
Temas: 2

Kasper König
Eventos: 10
Temas: 2

Oleg Bovykin
Eventos: 2
Temas: 0

Martin Meyerhoff
Eventos: 2
Temas: 2

Luiz Eduardo Kowalski
Eventos: 2
Temas: 0

Andrew McDonough
Eventos: 3
Temas: 0

Ladi Adeniran
Eventos: 1
Temas: 0

zogoo
Eventos: 3
Temas: 0

WeiHsi Hu
Eventos: 4
Temas: 0

Nicolò Gnudi
Eventos: 2
Temas: 0

Dima Boyko
Eventos: 14
Temas: 1

Soto
Eventos: 2
Temas: 0

kaja
Eventos: 34
Temas: 1

Tim Kächele
Eventos: 7
Temas: 3

Alex Jahraus
Eventos: 9
Temas: 0

Cameron Prebble 🇳🇿
Eventos: 45
Temas: 0

Jalyna
Eventos: 5
Temas: 0

Rafayet Monon
Eventos: 1
Temas: 0

Christoph Sassenberg
Eventos: 20
Temas: 0

UliKuch
Eventos: 4
Temas: 0

Robert Wachs
Eventos: 4
Temas: 0

Vitaly Kushner
Eventos: 3
Temas: 0

Magda Barthofer
Eventos: 1
Temas: 0

Luca Ongaro
Eventos: 15
Temas: 5

Alex Antsiferov
Eventos: 1
Temas: 0

Christoph Bünte
Eventos: 8
Temas: 0

Mapa