Brackeys explores Photogrammetry to create a video game using 3D Scans of real world environments.
Here’s an interesting article on building AI solutions for board games and where it works well and does not work quite so well.
Impressed by DeepMind’s AlphaZero achievement with game of Go, we tried to use a similar approach to implement AI for the highly acclaimed board game, Azul. We discovered that reinforcement learning is not a necessary ingredient of successful solution – and we also learned that using your favourite tools can sometimes lead you astray.
Two Minute Papers explores the paper “Vid2Game: Controllable Characters Extracted from Real-World Videos” and how you can put yourself into the game.
Arthur C Clarke once famously said, “Any sufficiently advanced technology is indistinguishable from magic.”
Recently, a family trip to Great Wolf Lodge proved this out as the MagiQuest game provides the look and feel of magic with RFID, IoT, and creativity.
As a data and gadget geek, I could not resist pointing this out.
In this YouTube video, Siraj Raval goes through the steps necessary to install and run the StarCraft II Environment that DeepMind recently open-sourced!
He gets into DeepMind’s Reinforcement Learning history, the configuration steps, and then runs a pre-trained Deep Q model at the end that will complete a the shard collection mini-game.