Wonder if BRCHF on OTCQF will be influenced by todays activities.
I'd expect that, if all went well at Socionext's booth, some of the geeks would recognize the potential of Akida.
Ray Lucchesi (tallish gent with glasses and beard -formerly tech person at Storage Tech Corp) has "attended" all Anil's podcasts, and had his own Damascene conversion when he learned about Meta TF in November 2020:
[A reprise of an old post but I can't rcall who posted it]
"
Ok, maybe neuromorphic chips aren't a deadend":
https://silvertonconsulting.com/blog/2020/11/25/ok-maybe-neuromorphic-chips-arent-a-deadend/Those of you who followe my blog will no doubt recall that I pronounced neuromorphic chips dead (see our Are neuromorphic chips a deadend blog post). Not because the hardware technology wasn’t improving or good enough, but because software support for the technology was sorely lacking and it was extremely complex or nigh impossible to program and use.
...
But then I attended AIFD1 (AI Field Day 1) and at one of the sessions, Anil Mankar, COO & Co-Founder of a company named BrainChip Inc, (see video of their talk) presented yet another neuromorphic chip, called the AKIDA Neural Processor. Their current generation of the technology is available in their AKD 1000 SoC chip, focused on IoT solutions. But they had created a a software development environment that allowed one to use standard TensorFlow neural network trained models and deploy these on their hardware. And that got my interest.
...
The AIFD1 (a tuff) crowd, said had seen all this before but would be really interested to see if their chip could distinguish between different cars (one a toy race car and the other a toy police car). On camera, they were able to re-train their CNN to distinguish between (toy) car 1 and car 2 to classify properly between the two of them. They had one or two instances where their CNN model was confused, but they were able to re-train it to recognize the toy car and place it into the correct classification (using two-shot[?] learning).
...
AKIDA technology limitations
At the moment, their chip doesn’t support neural networks that use memory such as LSTM or RNN’s but it seems to work fine for any CNN, which was shown multiple times in the data they presented and in their demo.We were really impressed with their software stack, liked what we saw of their hardware/IP, and enjoyed their demo and its one-shot learning. Check out their videos (link above) for more information on them.
Maybe Ray's earlier post about neuromorphic chips being a deadend had some influence on Akida's development of Meta TF. And we are including LSTM in Akida 2000. Looks like Ray is prepared to tell it as it is, and even admit to erroneous prognostications (even if he may have contributed to initiating the source of his error).
(20min delay)