Hello HTM community, this is my first ever post!
I’ve spent the past few months learning about HTM and I have a passion for brain-inspired AI computing, like the rest of you. I’ve read Jeff’s book, watched the instructional videos, installed NuPIC, etc. and I’m very humbled and impressed by the great work you guys are doing.
I want to get involved but I’m unsure where to begin. I’m planning on completing a MS thesis in the next academic year and I’d love to work on HTM but what I’m lacking the most is a concrete problem to tackle/path to follow and I’m unsure where to look for inspiration. I have experience, knowledge and interest in deep learning, data science and computer vision with a background in computational mathematics and computer science.
I was working at a computer security company this past summer as a data scientist in silicon valley and I think HTM has great potential in security applications. An initial idea I had was to adapt HTM to build a brain that monitors temporal network traffic data and ultimately works to detect intrusions as a security measure. I imagine this would be something like an anomaly detection use case. Because of the temporal pattern detecting, noise tolerant, online learning properties of HTM I think it might be able to outperform traditional DL methods. I’m unsure if this is even feasible or worth exploring, however.
Any advice would be greatly appreciated.