β Chess players: I made an app that encodes chess moves and initiative as musical notes. I'd love to hear ideas from more advanced players about how I could improve this.
My vision for this project was to improve pattern recognition of openings, tactics, and positions through artificial synesthesia.
ππππ ποΈ πππ±π-πππ¬ππ πππ«π«ππ’π§ π ππ§ππ«πππ’π¨π§ π¦π¨πππ₯ MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Work developed by Paul BorneβPons (@NewtNewt) during his joint internship at Adobe & ESA, and in collaboration with asterisk labs.