Science 1 Hellspawn 0.
). The latter is a stripped-back and lightweight version of Doom that's often used in AI research and reinforcement learning.
The level shown has the straightforward title Defend the Circle and features a round room that constantly spawns enemies which, when killed, are immediately de-spawned . The NDP200 was trained on a neural network consisting of several layers in order that the chip's 640 kilobytes of onboard memory could identify the demons of hell, aim at them, and fire.
IEEE fellow and Syntiant's recently departed chief architect David Garrett says the whole reason for training a chip like this to play Doom is to show"you can do meaningful detection and actions at this scale." The NDP200 also had to learn over time that spamming fire is not a good idea."After its first kill, it unloads the clip, but then it figures out that’s not a good strategy," said Garrett.
I don't think I can quite wrap my head around 1 milliwatt of power being used in this fashion, but assume this was a conference highlight. Training an ultralow power chip to play Doom is a new one anyway, even in a world where getting Doom to run on anything that even vaguely has a pulse is almost a religion. You can run it on your
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