Fullmoonfever
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Scratch that hahaAccording to the Russians Brainchip's AKIDA is the only one offering few shot learning at the edge.FF
AKIDA BALLISTA
Just scrolled back a few.
Scratch that hahaAccording to the Russians Brainchip's AKIDA is the only one offering few shot learning at the edge.FF
AKIDA BALLISTA
It's the automated bots buying and selling in small lots to try to fix what the closing price auction price will be. Just part of institutionalised manipulation to try to screw retail shareholders. Doesn't really matter if we are LTSHs as the daily fluctuations don't impact us.How does that happen?
ASX Rank | 204 of 2,412 |
Maybe a Nanose update heading our wayTalking about prices manipulations. The sp has been push down all day, then close to 4 million share trade at close auction (CommSec). I will take the small gain tho.View attachment 8191 View attachment 8192
Its great to be a shareholder
Talking about prices manipulations. The sp has been push down all day, then close to 4 million share trade at close auction (CommSec). I will take the small gain tho.View attachment 8191 View attachment 8192
Its great to be a shareholder
and there's a new one added 5 hrs ago
In 2022, BrainChip announced the second-generation chip at 16 nm.Well the Russians have noticed AKIDA and in the head to head comparison of the listed Ai companies Brainchip in a table at the end of the paper is summarised as being the "first commercial neuromorphic processor with incremental, one-shot and continuous learning for CNN".
The following is the link to the paper and the actual summary and description of AKIDA that appears in the body of the paper:
Introduction:
AI systems, based on von Neumann architecture and classical neural networks,
have a number of fundamental limitations in comparison with the brain. This article dis-
cusses such limitations and the ways they can be mitigated. Next, it presents an overview
of currently available neuromorphic AI projects in which these limitations are overcame by
bringing some brain features into the functioning and organization of computing systems
(TrueNorth, Loihi, Tianjic, SpiNNaker, BrainScaleS, NeuronFlow, DYNAP, Akida). Also,
the article presents the principle of classifying neuromorphic AI systems by the brain fea-
tures they use (neural networks, parallelism and asynchrony, impulse nature of information
transfer, local learning, sparsity, analog and in-memory computing). In addition to new
architectural approaches used in neuromorphic devices based on existing silicon microelec-
tronics technologies, the article also discusses the prospects of using new memristor element
base. Examples of recent advances in the use of memristors in neuromorphic applications…
3.8 Akida
Akida [39] is the first commercial neuromorphic processor, commercially available since August 2021. It has been developed by Australian BrainChip since 2013. Fifteen companies, including NASA, joined the early access program. In addition to Akida System on Chip (SoC), BrainChip also offers licensing of their technologies, providing chip manufacturers a license to build custom solutions.
The chip is marketed as a power efficient event-based processor for Edge computing, not
requiring an external CPU. Power consumption for various tasks may range from 100 µW to 300
mW. For example, Akida is capable of processing at 1,000 frames/Watt (compare to TrueNorth
with 6,000 frames/Watt). The first generation chip supports operations with convolutional and
fully connected networks, with the prospect to add support of LSTM, transformers, capsule
networks, recurrent and cortical neural networks. ANN network can be transformed into SNN
and executed on the chip.
One Akida chip in a mesh network incorporates 80 Neural Processing Units (NPU), which
enables modeling 1,200,000 neurons and 10,000,000,000 synapses. The chip is built at TSMC 28
nm.
In 2022, BrainChip announced the second-generation chip at 16 nm.
Akida’s ecosystem provides a free chip emulator, TensorFlow compatible framework MetaTF
for transformation of convolutional and fully connected neural networks into SNN, аnd a set of
pre-trained models. When designing a neural network architecture for execution at Akida, one
should take into account a number of additional limitations concerning the layer parameters (e.g. maximum convolution size is 7, while stride 2 is supported for convolution size 3 only) and their sequence.
The major distinctive feature is that incremental, one-shot and continuous learning are sup-
ported straight at the chip. At the AI Hardware Summit 2021 BrainChip showed the solution
capable of identifying a human in other contexts after having seen him or her only once.
Another product by BrainChip is a smart speaker, that on having heard a new voice asks the speaker to identify and after that calls the person by their name. These results are achieved with help of a proprietary local training algorithm based on homeostatic STDP. Only the last fully connected layer supports synaptic plasticity and is involved in learning.
Another instructive case from the AI Hardware Summit 2021 was a classification of fast-
moving objects (for example, a race car). Usually, such objects are off the frame centre and
significantly blurred but they can be detected using an event-based approach."
My opinion only DYOR
FF
AKIDA BALLISTA
You can buy its directly at Brainchip.Looks like you can pre order from here http://amicus.com.sg/index.php?route=product/product&product_id=8052
~ $5M after 4pm. Haven't been watching the action today but..wowWhat’s going in with these huge orders
What’s going in with these huge orders
No they are the "Motley Fools" getting in on the busThose huge orders imo are just monthly balancing.
Today is 31st so most likely it's just that.
Would be happy to be wrong and see some action tomorrow. I've added a few to my bag too. Literally becoming a penny pincher now, and thanks to CMC's offer of free trades below $1000 daily, thats another 10 shares extra in the bag![]()
I wondered who would pick this up first guess which country has a hacking industry. Or did they find this out at the Ai Hardware Summit???In 2022, BrainChip announced the second-generation chip at 16 nm.
Another product by BrainChip is a smart speaker, that on having heard a new voice asks the speaker to identify and after that calls the person by their name.
Did I miss this announcement or do the Russians know something we don't or are they guessing?
And the follow up questions are: which company did they work with to produce the smart speaker and how far away is it from coming to market? Did they see a demonstration of the speaker?I wondered who would pick this up first guess which country has a hacking industry. Or did they find this out at the Ai Hardware Summit???
My opinion only DYOR
FF
AKIDA BALLISTA
And is the reference by Rob Telson to Alexa in his presentations significant???And the follow up questions are: which company did they work with to produce the smart speaker and how far away is it from coming to market? Did they see a demonstration of the speaker?