Yeah, the title is really misleading - > Syntiant trained the NDP200's neural network using VizDoom, a version of Doom used for AI research and reinforcement l

Yeah, the title is really misleading - > Syntiant trained the NDP200's neural network using VizDoom, a version of Doom used for AI research and reinforcement learning from raw visual information. Training required understanding what the neural network was seeing, primarily identifying the enemy and ultimately defining a response. In this case, see demon, shoot demon. The "player" is tasked with defending a circular room that is under constant attack. > The purpose of the demo is not to show how well it can play Doom, but to demonstrate how efficient the NDP200 is at "bounding-box person detection" So like... it's playing a DOOM mod that teaches it to turn in circles and aim and shoot when it sees an enemy - until it runs out of ammo and it dies because it's standing still and the enemies walk up and kill it. It's not that that's not an accomplishment, it's more that that's not really 'playing DOOM' as far as anyone who's ever played DOOM would understand it. You know?