I guess I should add: an example I’m slightly more familiar with is anomaly detection in time-series data. Numenta developed the “HTM” brain-inspired anomaly detection algorithm (actually Dileep George did all the work back when he worked at Numenta, I’ve heard). Then I think they licensed it into a system for industrial anomaly detection (“the machine sounds different now, something may be wrong”), but it was a modular system, so you could switch out the core algorithm, and it turned out that HTM wasn’t doing better than the other options. This is a vague recollection, I could be wrong in any or all details. Numenta also made an anomaly detection benchmark related to this, but I just googled it and found this criticism. I dunno.
Interesting!
I guess I should add: an example I’m slightly more familiar with is anomaly detection in time-series data. Numenta developed the “HTM” brain-inspired anomaly detection algorithm (actually Dileep George did all the work back when he worked at Numenta, I’ve heard). Then I think they licensed it into a system for industrial anomaly detection (“the machine sounds different now, something may be wrong”), but it was a modular system, so you could switch out the core algorithm, and it turned out that HTM wasn’t doing better than the other options. This is a vague recollection, I could be wrong in any or all details. Numenta also made an anomaly detection benchmark related to this, but I just googled it and found this criticism. I dunno.