Chimi
Member
Yes exactly 10m shares.....Thanks greenwaves for posting the link. When I ran it through a translator it says
'BrainChip Holdings from Australia, which is known for trading up to 10 million shares per day, will also be there.'
Yes exactly 10m shares.....Thanks greenwaves for posting the link. When I ran it through a translator it says
'BrainChip Holdings from Australia, which is known for trading up to 10 million shares per day, will also be there.'
As a native speaking German to word "Umsatz" (= turnover) in the article is not making a lot of sense and may have caused the misunderstanding: Translated word to word would mean: "They have a turnover of up to 10 Million shares per day".Thanks greenwaves for posting the link. When I ran it through a translator it says
'BrainChip Holdings from Australia, which is known for trading up to 10 million shares per day, will also be there.'
You may have tried this already, Google In3st.de, takes you to the German Magazine. You have to translate. I think it’s a translation issue.Yes - it’s a very curious inclusion because the rest of the article is quite accurate.
Can anyone contact Doris Stockle and ask where she got that figure from.
Has anyone else noticed that there are slight differences in the pcb in the article compared tot he one on the Brainchip website. Aside from the colour of the pcb, there seams to be slight layout differences, and in particular the chip is rotated by 180 degrees?Came across this random article about Neuromorphic computing..............Judging by the main picture they used as the teaser I'd say it'd probably be worth a read................Unfortunately you need to pay to access the whole article
What’s So Exciting About Neuromorphic Computing
The human brain is the most efficient and powerful computer that exists. Even after decades and decades of technological advancements, no computer has managed to beat the brain with respect to efficiency, power consumption, and many other factors.www.electronicsforu.com
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Not following, sorry. The pic of the board in the article and on the BRN website look identical.Has anyone else noticed that there are slight differences in the pcb in the article compared tot he one on the Brainchip website. Aside from the colour of the pcb, there seams to be slight layout differences, and in particular the chip is rotated by 180 degrees?
the blue one "is" photoshopped...I think you could be right. i've had another look at the pic in the article and I noticed most of the components are missing - you can mainly see the solder pads. Its probably one of the early photo's of the pcb, and the akida chip is probably photoshopped in and that may explain why its upside down.
View attachment 1011
VolumeAnybody else read this article and wonder about this comment
"The BrainChip Holdings from Australia, which is well-known with up to 10 million sales per day"
Anybody have any idea what they are talking about or maybe it's just an error in translation?
The author has amended text to show it should be “shares”Volume
Me too please MD, thanks for your effortsAs soon as i receive the info on how to invest i will let re interested parties know via message. But im definitely going to be in.
Brilliant research generously shared. Many thanks Jason greatly appreciated. FF
Awesome, not that I understood one word of it, LOL, but good to hear Akida mentioned positively.Interesting research paper, the university is linked to a few groups so I am not sure who the research was for yet. (if anyone)
StereoSpike: Depth Learning with a Spiking Neural Network
https://arxiv.org/pdf/2109.13751.pdf
Federal University of Toulouse - France
The last line of the conclusion mentions Brainchip Akida.
Abstract Breif
"Depth estimation is an important computer vision task, useful in particular for navigation in autonomous vehicles, or for object manipulation in robotics."
View attachment 1080
Conclusion Breif
4.4.1 Target Hardware Our model has resolutely been developed in the philosophy of spiking neural networks. As a result, it is essentially implementable on dedicated neuromorphic hardware,such as Intel Loihi [3], IBM TrueNorth [1]. These chips can leverage the binarity and sparsity of spike tensors navigating through the network. In addition, we believe that our model being feedforward and requiring a reset on all of its neurons at each timestep is not a problem, because resetting membrane potentials is actually less costly than applying a leak. Therefore, statelesness can be seen as an advantage over recurrence in spiking models with similar performances. However, we are aware that current neuromorphic chips are initially designed for the implementation of stateful units, and acknowledge that we do not leverage this feature. Consequently, we believe that it rather fits to dedicated hardware for stateless models with sparse activations quantized on 1 bit. We therefore consider that Brainchip’s Akida chip [35] is a good fit.
It is.... I'll have to do some more digging tomorrow but they have an AI and deep learning research facility which is linked closely with another facility that has European defence, government and Airbus as partners. Trying to find research that links to a global Corp, would be nice to see.Awesome, not that I understood one word of it, LOL, but good to hear Akida mentioned positively.
That university is huge!! 17.000 staff and 100.000 students, I never thought a university could be that big so I learned something today, I given up on the research paper.
Hi foxdog, this round is closed. But when i hear of next will let u knowMe too please MD, thanks for your efforts
That would be great, thanksHi foxdog, this round is closed. But when i hear of next will let u know
Daily turnover in $ (aka. $value traded). Approx. calc is median price * volume. The reason they mention the persistently high turnover is to indicate the degree of insto and retail interest.Anybody else read this article and wonder about this comment
"The BrainChip Holdings from Australia, which is well-known with up to 10 million sales per day"
Anybody have any idea what they are talking about or maybe it's just an error in translation?