In this 2017 GDC classic game postmortem, Civilization creators Sid Meier and Bruce Shelley tell the story of how Shelley's background in board game design and Meier's history of sim game development blended together perfectly to create what is perhaps the biggest and longest-running strategy game franchise in the world.
Hi, I'm Fuzzy.
This site, Fuzzy's Logic, is a dumping ground for things I find interesting. If you're looking for content I've personally generated you might want to head directly to one of my other sites:
In this 2011 talk Doom's John Romero and Tom Hall give a post-mortem on the making of the classic first-person shooter, touching on the inspiration, design decisions, and challenges along the way.
Diablo developer David Brevik returns to the GDC stage to give a classic post-mortem on Blizzard's action RPG hit Diablo in this 2016 talk. Brevik shares key takeaways from the experience and sheds light on how the game went from a single-player, turn-based claymation DOS game to the genre-defining classic it became.
In this 2017 session, Doom composer Mick Gordon provides a detailed look into the compositional process, production techniques and creative philosophies behind the hell-raising soundtrack to the 4th installment of the seminal first-person shooter franchise, Doom.
The results of the 2017 National Geographic Travel Photographer of the Year Contest are now in, with grand-prize winner Sergio Tapiro Velasco set to receive a 10-day trip for two to the Galápagos Archipelago with National Geographic Expeditions, for his incredible shot of lightning striking the erupting Colima Volcano in Mexico. National Geographic was kind enough to allow me to share the winners and honorable mentions with you here, from three categories: Nature, Cities, and People. The photos and captions were written by the photographers, and lightly edited for style.
So just as a quick recap – I started with 9,000 audio files, converted them into 9,000 spectrograms, split them up into 185,000 smaller spectrograms and trained a convolutional neural network on these images. I then extracted 185,000 feature vectors for all these images and calculated the average vector for each of the 9,000 original audio files.
At this point I had now extracted 128 features from the music files that identified different characteristics in the music. So in order to create recommendations of songs that shared similar characteristics, all I needed to find were the vectors that were most similar to one another. To do that, I calculated the cosine similarity between all 9,000 vectors.