I’m working on a project that I think would benefit from real-time anomaly detection, but the computation ultimately needs to be done on a phone, so I’m curious if anyone has any intuitions on feasibility. The data will be about 10 signals streaming at about 20 samples per second. Thoughts?
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it depends on which platform do you use? c++ or Python?
I use C++, so that for my test prediction framework (scalar encoder + TM + decoder) I reach 1000Hz and for L4L2Column for prediction around 100Hz at my Ubuntu 16.04LTS.
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It is not going to be easy getting NuPIC running on a phone.
Write your own! 
Or if it’s an Android phone, maybe it’s worth taking a look at HTM.java?
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I doubt Android would tolerate HTM.Java’s threading model… I think there are strict guidelines for the way Android treats those?
I’ve done a lot of work on Android. It’s got the same threading API as regular JVM java. I don’t see why it wouldn’t work, but you can try it and see if it passes the tests.