4 ms·
I'll remain skeptical until it is determined how their "cortical algorithms" benchmark compared to, say, Naive Bayes. Good marketing though.
by reader5000 14y ago
I'll remain skeptical until it is determined how their "cortical algorithms" benchmark compared to, say, Naive Bayes. Good marketing though.
- Element_ 14y agoLast year Dr. Davide Maltoni published a paper (Pattern Recognition by Hierarchical Temporal Memory)[1] comparing the algorithms laid out in Dileep Georges original PHD thesis. The results were pretty impressive. There have been many improvements to the algorithm since then too. http://bias.csr.unibo.it/maltoni/HTM_TR_v1.0.pdf http://bias.csr.unibo.it/maltoni/HTM_TR_v1.0.pdf
- srconstantin 14y agoRead the paper; HTM's don't seem to do better than other object recognition algorithms at recognizing shapes, especially because there are visual properties it ignores (curvature, global topological properties, etc.) The accuracy for the picture datasets are only 60-70%. What's interesting about HTM is its generality. I can't judge whether it would be good for the Grok prediction engine, but I know more about image recognition and you definitely don't want to use it for that.