While playing around with MIT’s as-high-tech-as-possible controlled environment mini labs and other prototypes, she also created more stable, robust and practical models with parts anyone can find on Amazon. They’re meant more for restaurant kitchens like at the Standard East Village where she’s already making 2 that fit the needs of their food-and-beverage outlets. “There’s something fun and punk rock about building these things, not out of garbage but out of discarded things”. She also put in a commercial dough proofer that holds koji ferments—i.e., ingredients transformed by a bacteria typically used to make miso, soy sauce and sake—at just the right temperature and humidity level.
Month: June 2019
Trump Digital Lead
While Democrats painstakingly sort through 23 candidates, the Trump campaign is sharpening the digital tools that it thinks will make them win in 2020. This is happening right before our eyes at an unprecedented scale.
Solving Quake
We used a tournament-style evaluation to demonstrate that an agent can achieve human-level performance in a 3D multiplayer first-person video game, Quake III Arena in Capture the Flag mode, using only pixels and game points scored as input. We used a 2-tier optimization process in which a population of independent RL agents are trained concurrently from 1000s of parallel matches on randomly generated environments. Each agent learns its own internal reward signal and rich representation of the world. These results indicate the great potential of multiagent reinforcement learning for artificial intelligence research.