Indiscriminate visual targeting is a potentially hard problem if you're doing it against adversaries. One of the things that's underappreciated about machine le

Indiscriminate visual targeting is a potentially hard problem if you're doing it against adversaries. One of the things that's underappreciated about machine learning is, since it's statistical, it can only be about anomaly detection, so the solution is to not be anomalous. You could conceivably hide from thermal imaging by using ice packs, and anyway, you only have to get to within the range of indifferentiability from the ordinary noisiness of the environment. Optical techniques suffer from similar problems, except that it's even easier to hide. Not to mention the occasinal voodoo that comes out about metamaterials.