BRN Discussion Ongoing

[Luppo71]

Hi yogi,

The NYSE has a minimum share price and income requirement. I've seen values between $4US and $6US quoted, so say $5US for rgument sake. So there needs to be an adjustment of the number of BRN shares to equate to the required share price. If we assume ASX is valued at $1US at the time of rehoming, that would require a "consolidation" of BRN shares by a factor of at least 5 to get the BRNUS share price above the $5US threshold, so we'll use 5 for simplicity. So if you had 100 BRNAu shares, that would be 20 BRNUS shares.

The adjustment to US dollars does not affect the calculation of the proportion of shares you own, because it cancels out of the equation, applying to the numerator and divisor.

The point to note is that this consolidation is applied to all BRNAu shares, so, if there were 200,000,000 BRNAu shares on issue, that would be consolidated (divided by 5) to 40,000,000 BRNUS shares. This means you still own the same proportion of the company in BRNUS shares (20/40,000,000 = 1/2,000,000) as you did in BRNAu shares (100/200,000,000 = 1/2,000,0000).

Love the idea of a 5/1 split but if the SP stays at 20c and we still need $4US then its a 30/1 split or even worse if it keeps going down.
Lets hope it dosent get to that or they have some news.
Good luck all.

 

[Therealcookiemonster]

It will vary from fund to fund.
Suggest you contact yours and after explaining the situation see if it is an issuer you.

In my case the shares I have in my retail super fund are held in my name and I am what's called the beneficiary, but I don't actually own them.
Whilst I can arrange to buy more (within a percentage limit of my overall holding in the fund) or sell, I have to do it through their platform and using their broker. This can take up to 3 days for execution from the time I push the go button, so requires both some foresight and luck, particularly if doing an at market price transaction.
Beyond that, in order to buy, the stock must be within the ASX300 or better.
Once "owned" it doesn't matter if the stock falls out of the 300, but, if it gets delisted it will be sold at whatever the market is offering before it ceases to exist.
So, in this scenario I would endeavour to sell at whatever I thought was the highest likely price whilst I still had agency.
Then, theoretically I could use that money to buy in under the new ticker at the new exchange, but unless it has become very well known, very quickly, it's unlikely my fund would have it listed as an approved foreign equity. Of course I could still buy it outside of my super or set up a new fund which allowed it, but I know my existing fund will not allow a simple transfer from the existing holding to whatever it will become.
Hope that makes some sort of sense.
This is probably not an issue if you are self managing your own super fund but would probably depend on if it is allowed according to its rules which may be covered in the vanilla versions, but not having done it, don't know.

Thank you

 

[Bravo]

I'm hoping that Sean can tee up a cornerstone investor, such as Arm, prior to transitioning from the ASX to NASDAQ (or elsewhere).

It would do wonders to improve market credibility and investor confidence. How many more institutional and retail investors in the US market would be willing to invest if they see a well-known industry leader backing our company?

It would also help to open more doors for joint ventures, licensing deals, or integration of BrainChip’s technology into major products.

I think shareholders should be asking if this strategy is being vigorously pursued. I have asked both Sean and Tony Dawe on previous occasions if a cornerstone investor was something they would consider and they seemed open to the idea and may have already been weighing up options for all I know.

​

 

[IloveLamp]

AlloyDB vector search gets inline filtering and observability | Google Cloud Blog

AlloyDB vector search now has inline filtering, an enhancement to filtered vector search, and enterprise-grade observability and management tooling.

cloud.google.com

Tabatha Lewis on LinkedIn: AlloyDB vector search gets inline filtering and observability | Google…

Vector search on AlloyDB is definitely one of the cooler things I have gotten to work on while at AlloyDB! With this launch we introduced a set of capabilities…

www.linkedin.com

 

[Food4 thought]

Hey everyone hope that you have a positive weekend it’s Mardi Gras march tonight
Look they way I see it is this week has been a little kick in the ass
But the markets world wide are shite

Better to get everything on the table now before the inevitable rise of the shares

We are down now
But in a weeks time when a new development arrives
What negative news will there be
So forward thinking we get some good sales
We hit the US with a heap of positive news and growth
It’s all roses
Have a positive outlook and an awesome weekend.
Remember everything is in flux always changing.
Don’t sell. HOLD Tighter than ever before.

 

[CWP]

I'm hoping that Sean can tee up a cornerstone investor, such as Arm, prior to transitioning from the ASX to NASDAQ (or elsewhere).

It would do wonders to improve market credibility and investor confidence. How many more institutional and retail investors in the US market would be willing to invest if they see a well-known industry leader backing our company?

It would also help to open more doors for joint ventures, licensing deals, or integration of BrainChip’s technology into major products.

I think shareholders should be asking if this strategy is being vigorously pursued. I have asked both Sean and Tony Dawe on previous occasions if a cornerstone investor was something they would consider and they seemed open to the idea and may have already been weighing up options for all I know.

​

Great post Bravo, I completely agree. It would been seen by many as “steadying the ship” and a huge positive prior to such a major move.

Do you think the business will be restructured directly after the move ? It would seem logical after considering a completely seperate set of corporate rules and laws will apply after leaving Australia.

 

[Food4 thought]

It’s going to be a strong ride to the bus stop

 

[Smoothsailing]

AlloyDB vector search gets inline filtering and observability | Google Cloud Blog

AlloyDB vector search now has inline filtering, an enhancement to filtered vector search, and enterprise-grade observability and management tooling.

cloud.google.com

Tabatha Lewis on LinkedIn: AlloyDB vector search gets inline filtering and observability | Google…

Vector search on AlloyDB is definitely one of the cooler things I have gotten to work on while at AlloyDB! With this launch we introduced a set of capabilities…

www.linkedin.com

View attachment 78388

A proud father

 

[Doz]

Thanks Bravo, as we know ARM's Core is a traditional system and not neuromorphic. Any neuromorphic 'Edge AI' has to be imported from a 3rd party.
It is possible that it has incorporated AKIDA.
We know AKIDA works with ARM M processors. It's possible that AKIDA under NDA is incorporated in the A series.
Lets hope so. If ARM wants 'real' AI at the Edge' as a supplement to its traditional Core then why not go for the best?
As far as AI at the Edge goes AKIDA is the proven out performer.
It looks like the choice of Defence, space and cybersecurity is with AKIDA simply because it makes the products of others better.
In the end i guess it depends on what the ARM chip is designed to be used for - 'mickey mouse' AI may all that is needed if its simple stuff.

Keep up Manny , Cortex A confirmed . I myself have absolutely no doubt‘s that Arm’s Ethos U85 is Akida , as we are seeing far to many clues at this point in time .

Embedded World 2023 / Remember the Embeddy Award / The below is from Sally Ward Foxton spilling the beans .
Anil and Rob both liked this LinkedIn post . Noting at the time Arm only had the Ethos U55 and U65

Funny , Brainchip didn’t even mention that we were in the Arm booth doing joint demo’s .

All in my opinion .

 

[TheFunkMachine]

I have stopped following brn on the daily a long time ago, but can someone catch me up what is going on atm? Serious drop in SP in last few days and people talking about BRN re-listing on the American stock exchange?

 

[Pmel]

Keep up Manny , Cortex A confirmed . I myself have absolutely no doubt‘s that Arm’s Ethos U85 is Akida , as we are seeing far to many clues at this point in time .



View attachment 78390
View attachment 78391
View attachment 78392
Embedded World 2023 / Remember the Embeddy Award / The below is from Sally Ward Foxton spilling the beans .
Anil and Rob both liked this LinkedIn post . Noting at the time Arm only had the Ethos U55 and U65

View attachment 78393
Funny , Brainchip didn’t even mention that we were in the Arm booth doing joint demo’s .

All in my opinion .

Bringing Next-Gen AI Developer Experiences to Africa

Arm has been across Africa attending various events and initiatives to highlight the range of AI-based developer experiences running on Arm.

newsroom.arm.com

 

[Rskiff]

I have stopped following brn on the daily a long time ago, but can someone catch me up what is going on atm? Serious drop in SP in last few days and people talking about BRN re-listing on the American stock exchange?

dyor

 

[Smoothsailing]

I have stopped following brn on the daily a long time ago, but can someone catch me up what is going on atm? Serious drop in SP in last few days and people talking about BRN re-listing on the American stock exchange?

Use the page back button mate there it all is in black and white.

 

[Drewski]

I don't post often, but a webinar would be greatly appreciated by all LTHs I'm sure. I can only hope that by the time the transition is completed BRN has some revenue and deals signed and a healthier share price. This would make the issue of consolidation way more appealing and ward off the prospect of being destroyed in the US like we have been here by the scumbags.
I'm a huge believer in the potential of this company, may we all benefit from the realisation of its potential.

 

[Doz]

Bringing Next-Gen AI Developer Experiences to Africa

Arm has been across Africa attending various events and initiatives to highlight the range of AI-based developer experiences running on Arm.

newsroom.arm.com

Slowly coming out of the closet , one by one .

All in my opinion …..

 

[Doz]

What else are Arm and Meta up to ?

All in my opinion ……

 

[Food4 thought]

Use the page back button mate there it all is in black and white.

No it’s all there in black and write

 

[Smoothsailing]

No it’s all there in black and write

Certainly is imo.

 

[Mccabe84]

I have stopped following brn on the daily a long time ago, but can someone catch me up what is going on atm? Serious drop in SP in last few days and people talking about BRN re-listing on the American stock exchange?

 

[Doz]

Hi Bravo,

In your orange highlighted bit it talks about running lightweight AI workloads independently of the cloud.

The word lightweight in my mind rules out Akida ... and I don't class TENNs as lightweight because it adds the time factor for image tracking, and, with long skip, speech processing.

Here's one I prepared earlier:

https://www.cnx-software.com/2025/0...rmv9-core-optimized-for-edge-ai-and-iot-socs/

February 27, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Commentson Arm Cortex-A320 low-power CPU is the smallest Armv9 core, optimized for Edge AI and IoT SoCs

Arm Cortex-A320 low-power CPU is the smallest Armv9 core, optimized for Edge AI and IoT SoCs​

Arm Cortex-A320 is a low-power Armv9 CPU core optimized for Edge AI and IoT applications, with up to 50% efficiency improvements over the Cortex-A520 CPU core. It is the smallest Armv9 core unveiled so far.
The Armv9 architecture was first introduced in 2021 with a focus on AI and specialized cores, followed by the first Armv9 cores – Cortex-A510, Cortex-A710, Cortex-X2 – unveiled later that year and targeting flagship mobile devices. Since then we’ve seen Armv9 cores on a wider range of smartphones, high-end Armv9 motherboards, and TV boxes, The upcoming Rockchip RK3688 AIoT SoC also features Armv9 but targets high-end applications. The new Arm Cortex-A320 will expand Armv9 usage to a much wider range of IoT devices including power-constrained Edge AI devices.


View attachment 78344

Arm Cortex-A320 highlights:

• Architecture – Armv9.2-A (Harvard)
• Extensions
  
  • Up to Armv8.7 extensions
  • QARMA3 extensions
  • SVE2 extensions
  • Memory Tagging Extensions (MTE) (including Asymmetric MTE)
  • Cryptography extensions
  • RAS extensions
• Microarchitecture
  
  • In-order pipeline
  • Partial superscalar support
  • NEON/Floating Point Unit
  • Optional Cryptography Unit
  • Up to 4x CPUs in cluster
  • 40-bit Physical Addressing (PA)
• Memory system and external interfaces
  
  • 32KB or 64KB L1 I-Cache / D-Cache
  • Optional L2 Cache – 128KB, 192KB, 256KB, 384KB, or 512KB
  • No L3 Cache
  • ECC Support
  • Bus interfaces – AMBA AXI5
  • No ACP, No Peripheral Port
• Security – TrustZone, Secure EL2, MTE, PAC/BTI
• Debugging
  
  • Debug – Armv9.2-A features
  • CoreSightv3
  • Embedded Trace Extension (ETEv1.1)
  • Trace Buffer Extension
• Misc
  
  • Interrupts – GIC interface, GICv4.1
  • Generic timer – Armv9.2-A
  • PMUv3.7

The Cortex-A320 can be combined with the Ethos-U85 NPU for Edge AI, providing an upgrade path to Cortex-M85+Ethos-U85-based Endpoint AI devices, with support for LLMs with up to one billion parameters, and Linux or Android operating systems, besides RTOSes like FreeRTOS or Zephyr OS. We’re also told a quad-core Cortex-A320 can execute up to 256 GOPS, measured in 8-bit MACs/cycle when running at 2GHz.

Besides the 50% efficiency improvements over the Cortex-A520, Arm says the performance of the Cortex-A320 has improved by more than 30% in SPECINT2K6, compared to its Armv8 predecessor, the Cortex-A35 thanks to efficient branch predictors and pre-fetchers, and memory system improvements.

The Cortex-A320 also makes use of NEON and SVE2 improvements in the Armv9 architecture to deliver up to 10x better machine learning (ML) performance compared to Cortex-A35, or up to 6x higher ML performance than the Cortex-A53. With these ML improvements and high area and energy efficiencies, Arm claims that the Arm Cortex-A320 is the most efficient core in ML applications across all Arm Cortex-A CPUs.

Consider yourself ogred.

Dodgy , with all due respect and admiration , can I see your Ogre and raise you an Ogre ?

I know that you conversed with PVDM about Mac’s and that he told you that Akida does not perform Mac operations . However we continually see Brainchip documentation providing Mac performance . As such I don’t believe we can continue with this thought process .

Does the below provide the feasible reason why we now continue to see Mac comparisons in all of Brainchip’s technical documentation ? Did the industry once accept that the multiplication was not considered a Mac , but have now unified to provide a level playing field for comparative reasons ?

( Note to self … If Dodgy starts getting technical , I may need to resort to bluffing to win this hand . I know … )

Dodgy , all counter agruments must be supported with pretty pictures . Thanks .

.