Isn't it remarkable that it takes Physics to explain why Deep Learning is so effective?
Let's get back to the one-dimensional Cellular Automaton proposed by Steven Wolfram to find out that even this simple model is sufficient for executing any algorithm, it is Turing complete. All that mixed with fragments of Digital Philosophy articulated on short videos.
What knowledge would be helpful to bring to the meeting? As always
it is good be familiar with fundamental concepts of computability and Turing Machine. This time having any intro to cellular automatons could also help.
Presentation will be lead by: Marcin Stepien (www.twitter.com/marcinstepien)
Agenda: Discuss, watch videos, plan next meetings.
Goal: learn & have fun
Do you keep your favorite discovery, video, whitepaper or quote on the subject? Please, bring it to the meeting!