DingoBorat
Slim
"As since Ive looked into it and it seems as if what you're saying is correct"
It "seems" that you're at least capable of sowing a level of doubt, even when admitting you're wrong
.. 
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
It "seems" that you're at least capable of sowing a level of doubt, even when admitting you're wrong
.. Vladsblood
Regular
Probably sweet FA in 4C as nothing coming from our BOD’s.
Tighter than a Trout’s arsehole with where we are. I don’t think they like trust the asx bandits much!! Vlad
Schnitzel lover
Regular
Your comments all are valid when explaining the situation here.
Here's another take:
It would be fair to say that anyone holding BRN shares currently is not unintelligent despite its drop from the top floor to the basement. There could be any number of reasons for holding onto them.. Therefore I would not call anyone who paid to own BRN shares dumb, although it would be easy to draw that conclusion.
I would only hold them if I hadn't paid for them, Ie a company director, or an employee.
It's still beyond me why smart investors hold shares of a company hitting new 52-week lows consistently week after week, and trailing below multiple key moving averages.
It's fairly obvious that a company with high shares on issue will take a lot longer to accumulate and turn the trend around into positive territory from a downtrend.
But, hey, as you say, It's probably easier to focus on fixed-mind principles and talk about agendas and blame manipulation and greed, rather than the actual company.
Its BRN that needs to do the convincing, or at least the technicals of the trading tangibility that shows a positive trend. Preferably both for a sustained and orderly price.
DingoBorat
Slim
Now you see, that's the type of sentiment manipulative post, which shows your intelligence and why your previous attempts at mis-information, in regards to the actual short position, are all the more curious
...
DingoBorat
Slim
You'd have to agree, that all of the over 100 million borrowed shares that have been sold onto the market, are all in the money.
So why don't they just cash it in
..Maybe, just maybe, they can't do that, without sufficient volume sold to them, at the current prices
..Could be a bit of a dilemma, if real buying pressure, was to increase for some reason..
I mean some would say, that there just seems to be too much genuine buying, at these levels..
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Schnitzel lover
Regular
Ah I see.. I might go and do a collation of non aggregate daily sales and see what’s transpired the past week..You'd have to agree, that all of the over 100 million borrowed shares that have been sold onto the market, are all in the money.
So why don't they just cash it in
Maybe, just maybe, they can't do that, without sufficient volume sold to them, at the current prices
Could be a bit of a dilemma, if real buying pressure, was to increase for some reason..
I mean some would say, that there just seems to be too much genuine buying, at these levels..
TheFunkMachine
seeds have the potential to become trees.
https://www.linkedin.com/posts/ai-l...2-N6oo?utm_source=share&utm_medium=member_ios
Couple of things I noticed in this post that I thought was interesting:
1. Real time processing
2. Predictive maintenance
They might just be small statements and hashtags, but with a known partnership I think they hold a little weight behind them.
The question to ask is. How are they achieving real time processing and predictive maintenance? Is it cloud based or on device in real time like Akida like to differentiate themself?
Couple of things I noticed in this post that I thought was interesting:
1. Real time processing
2. Predictive maintenance
They might just be small statements and hashtags, but with a known partnership I think they hold a little weight behind them.
The question to ask is. How are they achieving real time processing and predictive maintenance? Is it cloud based or on device in real time like Akida like to differentiate themself?
Tothemoon24
Top 20
Tata patent / application
Brainchip mention
mand large memory and computation power to run effi- ciently, thus limiting their use in power and memory con- strained edge devices. Present application/disclosure provides a Spiking Neural Network based system which is a robust low power edge compatible ultrasound-based gesture detection system. The system uses a plurality of speakers and microphones that mimics a Multi Input Multi Output (MIMO) setup thus providing requisite diversity to effectively address fading. The system also makes use of distinctive Channel Impulse Response (CIR) estimat- ed by imposing sparsity prior for robust gesture detection. A multi-layer Convolutional Neural Network (CNN) has been trained on these distinctive CIR images and the trained CNN model is converted into an equivalent Spik- ing Neural Network (SNN) via an ANN (Artificial Neural Network)-to-SNN conversion mechanism. The SNN is further configured to detect/classify gestures performed by user(s).
Conventional gesture detection approaches de-
Processed
Brainchip mention
mand large memory and computation power to run effi- ciently, thus limiting their use in power and memory con- strained edge devices. Present application/disclosure provides a Spiking Neural Network based system which is a robust low power edge compatible ultrasound-based gesture detection system. The system uses a plurality of speakers and microphones that mimics a Multi Input Multi Output (MIMO) setup thus providing requisite diversity to effectively address fading. The system also makes use of distinctive Channel Impulse Response (CIR) estimat- ed by imposing sparsity prior for robust gesture detection. A multi-layer Convolutional Neural Network (CNN) has been trained on these distinctive CIR images and the trained CNN model is converted into an equivalent Spik- ing Neural Network (SNN) via an ANN (Artificial Neural Network)-to-SNN conversion mechanism. The SNN is further configured to detect/classify gestures performed by user(s).
Conventional gesture detection approaches de-
Processed
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DingoBorat
Slim
thelittleshort
Top Bloke
Apologies if already posted
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Ian
Founding Member
Socionext Europe • Socionext Announces Collaboration with Arm and TSMC on 2nm Multi-Core Leading CPU Chiplet Development
Langen/Germany and Yokohama/Japan, 18. October, 2023 --- Socionext today announced a collaboration with Arm and TSMC for the development of an innovative…
www.eu.socionext.com
Can anyone with more tech knowledge than I, please decode this one?
Markus May on LinkedIn: EPO - European publication server
A European patent application from Tata Consultancy Services on gesture recognition. BrainChip _inc is even mentioned by…
Sam
Nothing changes if nothing changes
Bitching and moaning peanutWhat was I doing?
Great find, Brainchip talked about on page 11, [0063]. Converting CNN to SNN.
Optimising energy consumption,
Also refers to Brainchip media releases regarding AKIDA development 2019.
I would assume that they have been testing AKIDA for quite some time.
Easy to assume they will use BRN when its time for sales. Definitely a positive.
Terroni2105
Founding Member
Here’s an article by Sally Ward-Foxton based on an interview she did with Prophesee‘s Luca Verre andChristopher Posch.
Maybe Others can pick up more clues, I’m a bit lost on some of the tech talk.
it does mention ‘always on’ and ‘spiking neural networks’ but where it does mention SNN it has a link to 2021 article about Prophesee and Synsense.
Appreciate hearing thoughts of others.
Maybe Others can pick up more clues, I’m a bit lost on some of the tech talk.
it does mention ‘always on’ and ‘spiking neural networks’ but where it does mention SNN it has a link to 2021 article about Prophesee and Synsense.
Appreciate hearing thoughts of others.
M_C
Founding Member
Socionext Europe • Socionext Announces Collaboration with Arm and TSMC on 2nm Multi-Core Leading CPU Chiplet Development
Langen/Germany and Yokohama/Japan, 18. October, 2023 --- Socionext today announced a collaboration with Arm and TSMC for the development of an innovative…
www.eu.socionext.com
Perhaps
Regular
The term real time processing is widely used for cloud based systems with lots of computing power behind, so it isn't related to Edge AI directly.
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hevodata.com
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