BRN Discussion Ongoing

Ai chat bots have been in parliament for years.

 
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skutza

Regular
So Peter Switzer was just on Sky news talking about the good employment figures. They talked ASX and he said watch the tech stocks, big rebound in 2023. Feels that we'll all be saying 'Switzer' nailed it again in 2023.
 
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JK200SX

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Mccabe84

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Just posted, edge impulse are putting out a lot of tweets lately

 
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Getupthere

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Foxdog

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I was just speaking to Purple Ferret and he called me a Plebian pheasant.....
no?.....
what?..........
oh ok, peasant.

Yea sure I'll own that *shrug*
(not sure it's even proper use PF)

My impression of TSE (the BRN part) was that it started out with a med-long term leaning in the discussion (on average, though it's hard to have a genuine coherent community based around fundamental prospects if they are all trading the crap out of and/or shorting the one share you are discussing). I don't know any person or organisation without a leaning one way or the other (except maybe a philosophy group). Of course everyone has a different situation and plan (or should) and conditions change but you need to know what YOU want from it. Why are you here?
We may all have several answers to that.
One way or another to make money, but why BRN?
If I'm honest I'll say it's become a part of my life. Like having your own business or relationship it might not all be about the money, there is purpose and people and a learning journey. I dred the day that I lose perspective and all I can see is the beans; a billionaire who asks the question how can I stop people from turning on me in the world I've had a large part in creating.

I'll add, considering HC leanings is it any surprise to anyone that we have a different one.

Certainly its the same journey but a new chapter, who knows what will happen.
PF: points to himself
Hey Straw - good post mate. Someone posted a couple of days ago that this forum is more like a supporters group for 'team BRN', or something like that.
It made me think a bit because unlike HC, where there are plenty of posters just angling for an argument, this forum was designed to enable like-minded owners of this company to share information. I've been guilty of posting unhelpful comments as well.
A big thing to realise though is that some people here have bought low and are sitting on huge profits already, while others have bought higher and are likely sitting on a loss. This leads to a huge spectrum of emotions across the board. This is inevitable but I think 'Rise From The Ashes' may have found a solution - he's set up a sub-forum to discuss the SP (good,bad and ugly). I think if anyone wants to vent this could be a way to do it (or create another forum to achieve this).
We should all allow the BRN discussion forum (this one) to continue with the original purpose is was designed i.e. research and positive support for all holders of this business. Any posts to the contrary should be directed to the appropriate forum. Allow Dio, FF and many others to continue to educate us all free of unnecessary distraction.
My thoughts only.
 
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Sirod69

bavarian girl ;-)
In this blog post, we highlight new
@BrainChip_inc
Akida™ platform features that are now available in Edge Impulse Studio to provide easy, quick, and advanced model development and deployment for the company's Akida neuromorphic technology: https://bit.ly/3H4ddUn



1673819983842.png
 
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S

Straw

Guest
Hey Straw - good post mate. Someone posted a couple of days ago that this forum is more like a supporters group for 'team BRN', or something like that.
It made me think a bit because unlike HC, where there are plenty of posters just angling for an argument, this forum was designed to enable like-minded owners of this company to share information. I've been guilty of posting unhelpful comments as well.
A big thing to realise though is that some people here have bought low and are sitting on huge profits already, while others have bought higher and are likely sitting on a loss. This leads to a huge spectrum of emotions across the board. This is inevitable but I think 'Rise From The Ashes' may have found a solution - he's set up a sub-forum to discuss the SP (good,bad and ugly). I think if anyone wants to vent this could be a way to do it (or create another forum to achieve this).
We should all allow the BRN discussion forum (this one) to continue with the original purpose is was designed i.e. research and positive support for all holders of this business. Any posts to the contrary should be directed to the appropriate forum. Allow Dio, FF and many others to continue to educate us all free of unnecessary distraction.
My thoughts only.
Yes that could have been me and yes we will do our best to make sure dubious posters from HC or elsewhere don't start 'infiltrating' this place, for want if a better word.
Another thing to remember when comparing new and old holders is that most of the old holders held their shares well below 10c for a very long time. To be fair.
 
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Here we go!

 
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mrgds

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Foxdog

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Yes that could have been me and yes we will do our best to make sure dubious posters from HC or elsewhere don't start 'infiltrating' this place, for want if a better word.
Another thing to remember when comparing new and old holders is that most of the old holders held their shares well below 10c for a very long time. To be fair.
Absolutely and those who got in so early deserve to be rewarded for having taken such a risk (this was a much different investment back then I think). Having said that I personally believe that even those who bought above $2.00 will see a great ROI too, we'll all have to wait and see. (Perhaps this should be in SP Good Bad and Ugly forum 😄).
 
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Deadpool

hyper-efficient Ai
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Diogenese

Top 20
Here we go!


Thanks tls,

A few months ago, the big boys announced that they were going to provide a set of AI/NN standards, even though they are demonstrably unqualified to do so. It seems the same has been happening with benchmarking AI/NNs, the essential tool for comparing performance of NNs, so brainChip is setting the record straight.

[I recall the porcine aviator or someone else over at the other place bleating (oinking) about the lack of benchmarks]

The following graphs from the white paper compare 2 nodes of Akida with Silicon labs, Reneas, and STM MCUs, while those further down show comparisons with Nvidia Jetson nano and Google Coral.

Then there are graphs for Performance (Speed)/Efficiency (energy) which BrainChip proposes as being a more relevant benchmark for edge devices.

The white paper then goes on to compare the times to load the model libraries which is important for NNs running multiple networks.

The benchmark data below is divided into two sets of graphs, each comparing BrainChip’s Akida processor using three representative applications. These applications – keyword spotting, object detection, and anomaly detection – play critical roles in enabling the edge-specific verticals highlighted in the previous chapter. The first set of graphs are based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading MCU vendor offerings.* As the first chart illustrates, Akida-based performance delivers extremely low latency using just a fraction of the energy consumed by conventional MCUs.

1673823427297.png


The contrast is even more pronounced when benchmarking Akida against conventional MCUs for visual wake words – a popular edge application that demands complementary levels of efficiency and performance in power-conscious and thermally constrained environments.

1673823566658.png



Similarly, the anomaly detection benchmark shows a substantial gain in latency and energy versus the MCU solutions.

1673823654198.png



The second set of graphs are also based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading DLA and TPU vendor offerings. These compare Akida with two higher end edge AI processors: NVIDIA Jetson Nano (a deep learning accelerator) and Google Coral (a tensor processing unit). Even at a significantly lower frequency, Akida matches or outperforms both processors while consuming significantly less power.
This performance and efficiency data is based on a two-node configuration – which we compare here to ensure consistency with earlier MCU comparisons. It should be noted that higher node configurations further reduce latency – and are potentially more efficient as they enable faster compute. However, even with a two-node configuration, Akida’s latency fits well within the 5ms target, and the energy consumed per frame by Akida is only a fraction of the power drawn by larger processors
.

1673823785712.png



1673823834904.png



1673823885955.png




The relative efficiency of the anomaly detection benchmark highlights the benefits of an efficient AI engine over traditional MCUs even for small workloads.

1673823961696.png
 

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dippY22

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Dhm

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Thanks tls,

A few months ago, the big boys announced that they were going to provide a set of AI/NN standards, even though they are demonstrably unqualified to do so. It seems the same has been happening with benchmarking AI/NNs, the essential tool for comparing performance of NNs, so brainChip is setting the record straight.

[I recall the porcine aviator or someone else over at the other place bleating (oinking) about the lack of benchmarks]

The following graphs from the white paper compare 2 nodes of Akida with Silicon labs, Reneas, and STM MCUs, while those further down show comparisons with Nvidia Jetson nano and Google Coral.

Then there are graphs for Performance (Speed)/Efficiency (energy) which BrainChip proposes as being a more relevant benchmark for edge devices.

The white paper then goes on to compare the times to load the model libraries which is important for NNs running multiple networks.

The benchmark data below is divided into two sets of graphs, each comparing BrainChip’s Akida processor using three representative applications. These applications – keyword spotting, object detection, and anomaly detection – play critical roles in enabling the edge-specific verticals highlighted in the previous chapter. The first set of graphs are based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading MCU vendor offerings.* As the first chart illustrates, Akida-based performance delivers extremely low latency using just a fraction of the energy consumed by conventional MCUs.

View attachment 27180

The contrast is even more pronounced when benchmarking Akida against conventional MCUs for visual wake words – a popular edge application that demands complementary levels of efficiency and performance in power-conscious and thermally constrained environments.

View attachment 27181


Similarly, the anomaly detection benchmark shows a substantial gain in latency and energy versus the MCU solutions.

View attachment 27182


The second set of graphs are also based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading DLA and TPU vendor offerings. These compare Akida with two higher end edge AI processors: NVIDIA Jetson Nano (a deep learning accelerator) and Google Coral (a tensor processing unit). Even at a significantly lower frequency, Akida matches or outperforms both processors while consuming significantly less power.
This performance and efficiency data is based on a two-node configuration – which we compare here to ensure consistency with earlier MCU comparisons. It should be noted that higher node configurations further reduce latency – and are potentially more efficient as they enable faster compute. However, even with a two-node configuration, Akida’s latency fits well within the 5ms target, and the energy consumed per frame by Akida is only a fraction of the power drawn by larger processors
.

View attachment 27183


View attachment 27185


View attachment 27186



The relative efficiency of the anomaly detection benchmark highlights the benefits of an efficient AI engine over traditional MCUs even for small workloads.

View attachment 27187
Purely in the interests of balance, and so we all are aware, the disclosure at the bottom of the paper says this:

Screen Shot 2023-01-16 at 10.46.22 am.png

This is NOT an attempt at down ramping. I am as bullish as anyone here, in fact I feel as though I am growing some horns! Only mentioned in case some third party downramper throws this in our faces.

bull horns GIF


This is me dealing with a down ramper.
 
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HopalongPetrovski

I'm Spartacus!
Yes that could have been me and yes we will do our best to make sure dubious posters from HC or elsewhere don't start 'infiltrating' this place, for want if a better word.
Another thing to remember when comparing new and old holders is that most of the old holders held their shares well below 10c for a very long time. To be fair.
Hi Guys and Gals.
I have been in BRN since 2015 and been “underwater” for the vast majority of that time.
So believe me when I tell you that I understand some of the emotion and internal self talk that arises.

I held and averaged down for years at a paper loss without publicly moaning and bitching about it, gradually building my position, because I believe in the Company and what they were trying to build, and even though all the way through I hoped for fast gratification on the share price front, I understood that this is largely out of my hands.

For much of that time there was none to little information available regarding our Company nor the area of neuromorphic computing.
Indeed the thread over at the other place was the most prolific source I found.
Over time it became obvious that everyone posting was running their own agenda, some more consciously than others.
A few genuine helpful souls seeking betterment for all, some benign, some hostile, and many who were merely avaricious.
The worst part about it was the unjust and seemingly biased agenda driven moderation favouring a particular element inflicted upon us by the people running the site.
I think Fact Finder described it best when he termed it as a “conflict model” designed to engage likes and keep people coming back, much like the “if it bleeds, it leads” model adopted by much of the general media.

And so when Zeeb0t set this alternative up many of us abandoned the old crapper and settled in here instead and for most of the time it has been a breath of fresh air.

All the genuine holders here want our Company to succeed and our share price to reflect that to justify our investment and faith in the Company.
But, much of what happens in a changing world is beyond the control of the people running our Company.
Also, sometimes errors are made, and the Company needs to regroup and move in another direction.
Also, growth is hard, and people looking with hindsight at either share price’s or other lost opportunities may be indulging in woulda, shoulda, coulda fantasies. Sure, its good and wise to learn from revealed errors and discern apparent patterns, but in the end we are constantly changing with the world and no single action eternally defines us.

So, in an effort to stop the decline here and avoid creating another cesspool like the crapper, lets perhaps cut out the “gotcha” posts that just propagate more of the same.
If you don’t like or see any particular relevance with any particular comment, thread or personality just skip on over till you find something that resonates positively.
If you find something that is absolutely egregious then bring it to Zeeb0ts attention.
He is very effective at eliminating obvious threats.

And if you are here just to promote discord or to try to instil fear and doubt in our community, then fuck off!
AKIDA BALLISTA
AKIDA EVERYWHERE
GLTAH
 
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