DingoBorat
Slim
I agree!As long as you dont post that video of the french girl dancing again...
You mean this one don't you?..
Still can't understand what she's singing..
But who cares right?...
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I agree!As long as you dont post that video of the french girl dancing again...
Looks like the buy side is building so might push towards that or 0.225I'll go with 0.22c finish
Hi AllHi ILL
This is an exciting find and once again generously shared. It is the stuff of secret meetings where it could be shared secretly and used to trade.
Seriously though it is a very significant reveal evidenced by a read of the following link:
The other significant aspect to the authors suggested use of AKIDA for the treatment of neurological diseases such as epilepsy is that there are many scientific research papers available via Google Scholar suggesting the use of SNN technology for this very purpose.
In other words Dr. Elon is not the only one who thinks brainchips have a place in mainstream medical science.
The concept of a portable hand held device for detecting concussive brain injury has also been proposed in the literature.
This is a very big opportunity but like all medical opportunities has a long lead time because of the need to have regulatory approval.
One area that might not take such a long time is a device to check if a dog is carrying a brain injury so as to make it a potential risk to humans.
My opinion only DYOR
Fact Finder
Afternoon Sb182 ,Nobody shorted BRN yesterday, this came out lunch time today
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Hmm looks more like 0.20 to 0.205 to me but still ok if it holdsLooks like the buy side is building so might push towards that or 0.225
Solid work FF, thanksHi All
It has often been said that MegaChips is very quiet which is true but it is also MegaChips modus operandi to be very, very discreet. Try as they might however if you look hard enough in the end they slip up.
It does take a little work though but I found the following paper sometime ago now:
“Data Augmentation for Edge-AI on-chip Learning
N Yoshida, H Miura, T Matsutani… - 2022 IEEE 8th World …, 2022 - ieeexplore.ieee.org
This study applied data augmentation to improve the inference accuracy of edge-artificial intelligence on-chip learning, which uses the fine-tuning technique with limited knowledge and …”
The first thing to note is that these researchers all work for MegaChips.
The second thing is the abstract states:
“This study applied data augmentation to improve the inference accuracy of edge-artificial intelligence on-chip learning, which uses the fine-tuning technique with limited knowledge and without a cloud server. Subsequently, keyword spotting was adopted as an example of the edge-AI application to evaluate inference accuracy. Investigations revealed that all four data augmentation types contributed to inference accuracy improvements, boosting data augmentation by 5.7 times rather than the one-shot boost without data augmentation recorded previously.”
The following link takes you to a sign in page to which I do not have access however whenever this occurs opening the references can sometimes add insight into whether the paper is of interest. In this case it did and I found:
References & Cited By
1.
Akida enablement platforms, [online] Available: https://brainchip.com/akida-enablement-platforms/.
Hide Context Google Scholar
For example, the BrainChip was released as an evaluation chip AKD1000 [1] to execute finetuning with just one-shot input.
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2.
M. Horowitz, "computing's energy problem (and what we can do about it)", IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC), pp. 10-14, 2014.
Hide Context View Article Google Scholar
Subsequent investigations revealed that it realized a neuromorphic neural network, thereby reducing computational costs [2], [3].
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3.
S.I. Ikegawa, R. Saiin, Y. Sawada and N. Natori, "Rethinking the role of normalization and residual blocks for spiking neural networks", Sensors, vol. 22, 2022.
Hide Context CrossRef Google Scholar
Subsequent investigations revealed that it realized a neuromorphic neural network, thereby reducing computational costs [2], [3].
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4.
Overview of meta TF, [online] Available: https://doc.brainchipinc.com/index.html.
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The Akida neuromorphic ML Framework (MetaTF) [4] was adopted to establish the edge-AI computing environment.
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5.
P. Warden, "Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition", arXiv, 2018.
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Subsequently, the google speech command dataset was applied to train KWS [5]–[7], after which audio files were transformed to a Mel-frequency power spectrogram [8], thereby aiding supply to DS-CNN [9].
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6.
Model zoo performances, [online] Available: https://doc.brainchipinc.com/zoo_performances.html.
Hide Context Google Scholar
Subsequently, the google speech command dataset was applied to train KWS [5]–[6][7], after which audio files were transformed to a Mel-frequency power spectrogram [8], thereby aiding supply to DS-CNN [9].
Go To Text
7.
DS-CNN/KWS inference, [online] Available: https://doc.brainchipinc.com/examples/general/plot_2_ds_cnn_kws.html.
Hide Context Google Scholar
Subsequently, the google speech command dataset was applied to train KWS [5]–[7], after which audio files were transformed to a Mel-frequency power spectrogram [8], thereby aiding supply to DS-CNN [9].
Go To Text
8.
S.B. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences", IEEE Transactions on Acoustics Speech, vol. 28, pp. 357-366, 1980.
Hide Context View Article Google Scholar
Subsequently, the google speech command dataset was applied to train KWS [5]–[7], after which audio files were transformed to a Mel-frequency power spectrogram [8], thereby aiding supply to DS-CNN [9].
Go To Text
9.
F. Chollet, Xception: Deep learning with depthwise separable convolutions, 2016, [online] Available: http://arxiv.org/abs/1610.02357.
Hide Context Google Scholar
Subsequently, the google speech command dataset was applied to train KWS [5]–[7], after which audio files were transformed to a Mel-frequency power spectrogram [8], thereby aiding supply to DS-CNN [9].
Go To Text”
Based upon the above it is clear that MegaChip was using AKIDA as the Edge environment and we’re able to show a marked improvement in inference accuracy using four different types of data augmentation for training purposes.
My opinion only DYOR
Fact Finder
Yes correct Esqy...confirmation'''Afternoon Sb182 ,
Odd , from the ASX site ..... indicates that on 6th feb , yesterday , 146,350 units were taken short.
Regards,
Esq
These 2 IP Deals products definitely should be hitting the marketSolid work FF, thanks
Good morning!What has actually happened to this guy?
Is he still waiting for his schnitzel at home and doesn't want to be seen with the delivery service?
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Mickle, if this makes you uncomfortable and you think it may be against our TSE rules, please report it to dreddb0t, and we know about it. I would have no problem with that. ... decency and dignity, you know, there are such things.
Sure enjoyed the endorphin rush from yesterday's ASX trades.
Follow through on NASDAQ appears less impactful however when one considers that BRCHF was overvalued using the proper exchange rate (1$AUD=0.65$USD) today, would leave the correct pricing of BRCHF at $0.13...not quite there yet (1:33 EST).
However volume of BCHPY which is usually almost nil....so far is 9.7k ie 388k shares of BRN (or BRCHF)
Clearly investor interest in Brainchip is on the rise.....based on recent volume.
Now if we can get the price to cooperate.....
Edit: Of course while typing the price creeps up to 13.1 cents. (I get it...keep typing!)