BRN Discussion Ongoing

[Diogenese]

Not on my PC ATM and can’t drive my i-Pad very well. ​

Could we be involved in the new Arm Cortex-A320???​

Check out the Arm blog - the link at the bottom of the post. It reads like does everything Pico can do???​

The Ethos-U85 driver has now been updated so that Ethos-U85 can be driven directly by a Cortex-A320, without the need for a Cortex-M based ML island. This update improves latency and allows Arm partners to remove the cost and complexity of using a Cortex-M to drive the NPU.

​

​

Arm to support more intelligent applications at the edge with Armv9 Edge AI Platform​

BY MIKE WHEATLEY

FEBRUARY 26 2025

Chipmaker Arm Holdings Plc is looking to strengthen its grip on artificial intelligence at the network edge with the debut of a powerful new lightweight processor designed to sit at the heart of intelligent internet of things applications.



????

The company unveiled the Arm Cortex-A320 central processing unit today, saying it’s the centerpiece of its all-new Armv9 Edge AI Platform, which provides all of the hardware needed to run lightweight AI workloads independently of the cloud.


???

In its pitch, Arm says the increasingly connected world we live in means that we cannot just rely on the cloud to continue processing AI workloads anymore. Use cases such as smart cities and industrial automation demand that AI applications live at the edge, and there’s an urgent need for them to process data locally to eliminate latency, but to do that we need to have the right infrastructure to run them, the company says.
That’s what it’s providing with the Armv9 Edge AI Platform, which combines the Cortex-A320 CPU with a new AI accelerator chip, the Arm Ethos-U85 neural processing unit, to run powerful AI models with up to 1 billion parameters locally on any device.
Arm said the edge platform is equipped to handle workloads such as autonomous vehicles that can navigate busy factory floors, smart cameras that must be able to process what they’re seeing, drones that carry out autonomous operations, and human-machine interfaces that drive natural, conversational interactions.
The Cortex-A320 is based on the company’s most advanced CPU architecture, Armv9, and delivers key features such as SVE2 for enhanced machine learning performance of up to 10 times its predecessor edge CPU, the Cortex-A35. It also benefits from improved security, with new capabilities such as Pointer Authentication, Branch Target Identification and Memory Tagging Extension, which enable edge devices to handle sensitive data in the most exposed locations, the company said. At the same time, Armv9 provides greater efficiency, meaning lower running costs for edge AI workloads.

Arm KleidiAI comes to the network edge​

It’s one thing to provide the infrastructure for edge AI applications, and another thing to build them, but Arm has this covered too. Alongside the Armv9 Edge AI Platform, it’s also extending its Arm KleidiAI software development platform to the edge. It provides a powerful set of compute libraries to support the development of AI frameworks that can optimize AI and machine learning workloads to run on the new Armv9 Edge AI Platform, the company said.
KleidiAI is a popular platform that has already been widely integrated into IoT AI software frameworks such as Llama.cpp and ExecuTorch to accelerate the performance of lightweight large language models such as Meta Platform’s Llama 3 and Microsoft Corp.’s Phi-3. According to Arm, KleidiAI can help to boost the performance of the new Cortex-A320 CPUs by up to 70% in some scenarios.
By using KleidiAI, developers can also accelerate the time-to-market for new edge AI applications, meaning they can quickly build new solutions that grow and adapt as their requirements evolve.
The launch of the Armv9 Edge AI Platform has been warmly welcomed by customers including Amazon Web Services Inc. and the edge server manufacturer Eurotech S.p.A. For instance, AWS has already integrated the hardware into the nucleus lite runtime environment within its AWS IoT Greengrass platform for edge devices.
“This seamless integration between the two technologies provides an optimized solution for developers to build modern edge AI applications, like anomaly detection in precision agriculture, smart manufacturing and autonomous vehicles,” said AWS Vice President of IoT Yasser Alsaied.
Meanwhile, Eurotech has been quick to install Arm’s new hardware at the foundation of its latest edge computing hardware.
“Arm’s new edge AI platform provides us with the foundation to build the next generation of rich IoT devices, with Armv9 giving us access to new levels of secure performance, energy-efficiency and software flexibility,” said Eurotech Chief Technology Officer Marco Carrer.

​

Introducing Cortex-A320: Ultra-efficient Armv9 CPU Optimized for IoT​

Unlock ultra-efficient performance, advanced AI processing, and robust security with the Cortex-A320—designed to power the future of IoT and edge AI innovation.

Introducing Cortex-A320: Ultra-efficient Armv9 CPU Optimized for IoT

Arm Cortex-A320, the first ultra-efficient Armv9 CPU, delivers advanced AI, security, and efficiency to power-constrained devices in the evolving IoT and edge AI landscape.

newsroom.arm.com

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.

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.

 

[HopalongPetrovski]

A hard day and week for us all.
Don't forget to hug your significant other tonight, tell your children you love them and give the dog and cat a pat.
Be grateful for what you have.
Many others have much less and can only dream of our troubles.
It's all relative in the end.
Next week is a whole new uncharted universe for us to explore.
Hang in there Chipper's.
Hoppy.

 

[Rach2512]

You are a real negative dude, aren't you?

Sell and move on, what's holding you back?

I sadly don't have any cash lying around right now, or I would have bought more shares.

Why should they buy shares out of own pocket when they already have lots of shares?

Are you surprised that retired people selling some shares? PFDM gave a lot to charity a few years back, which tells you a lot about him!

I am very positive about the possible move to Nasdaq and think it's the only way forward.

The management are clearly smart, forward-thinking people, the same can't be said about you!

Adding to that, has anyone considered that those at the top my be selling because they may want to purchase a house or travel the world in style and why not they've worked bloody hard for it so why not enjoy it, plus they know what's coming and which direction the share price is heading so maybe in the not too distant future their remaining shares will be worth so much they will struggle to spend it, so why not enjoy some along the way. Simple really after all you can't take it with you in the end.

I wish I had some spare cash, I would be buying more for sure. Looking forward to the move to the US, it can't come soon enough, it will be a YES from me.

 

[Bravo]

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 zI pprepared before:

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.

Are you sure you didn't mean to say "oggled"?

That's OK, I'll go sit in the naughty corner until the ogre-meter alarm tells me I can leave.

 

[TopCat]

Bugga. I hold all my shares in Aus Super. Fingers crossed there's a few juicy announcements before the end of the year or early 26.

I agree. I hold my majority in CBus super where I’ve been prepared to hold for a while. This is going to hurt.

 

[FabricatedLunacy]

I agree. I hold my majority in CBus super where I’ve been prepared to hold for a while. This is going to hurt.

Yep tell me again how they care . Over 130k shares in Aus Super and AVG 0.40. Sucks big balls…

 

[Diogenese]

Are you sure you didn't mean to say "oggled"?

That's OK, I'll go sit in the naughty corner until the ogre-meter alarm tells me I can leave.


View attachment 78346

Yes, but the key was in the keyhole.

 

[Fenris78]

It sucks doesn't it.
While I only hold a proportion of BRN in my retail super it just happens that they were bought at 3 times current value, so if I am forced to sell cheaper, won't even get the tax loss to offset.
Hopefully, as you say, we will get an opportunity to at least break even before our hands are forced.
It's just the market, I know, sorry to bitch and moan y'all.
Just thought I'd mention it so as other's in similar boat can start considering their options.

In my opinion, the big losses yesterday and today are primarily instinctive market reactivity to the poor 2024 $ results in the annual, turbocharged by the shakeup news of the proposed move.
The confusion whipped up about Anil's holdings over the past few days and the lack of a top 20 combined with the deteriorating NASDAQ and the general disruption coming from America has allowed manipulators and shorter's to engender the perfect storm.

I am hopeful that as people have time to digest all the news dropped last night, over the weekend, the greed motivator will start to overpower the fear monkey that has many of us by the ball's at the moment.
The company is slowly gaining traction and I still don't doubt that it can be successful over time.
I just know it's taken longer than I expected to date, and am starting to think it may all take a little longer than I personally can afford.
No advise intended. Again just some personal musings.
GLTAH

I am in a similiar position. Was never concerned about the day to day SP for my super.... but being forced to sell. Very frustrating as I've held at a loss for a few years... many other opportunities missed waiting for BRN to get into gear.

 

[Therealcookiemonster]

I am in a similiar position. Was never concerned about the day to day SP for my super.... but being forced to sell. Very frustrating as I've held at a loss for a few years... many other opportunities missed waiting for BRN to get into gear.

Why would people be forced to sell if they held it in super?

 

[Therealcookiemonster]

Why would people be forced to sell if they held it in super?

 

[equanimous]

Below are the successful companies that transferred or shifted their primary listing from the Australian Securities Exchange (ASX) to a United States stock exchange (Nasdaq or NYSE), along with how they benefited from the move.

1. Atlassian Corporation

• Original Listing: ASX (ticker: ATM, limited early listing in 2005).
• U.S. Listing: Nasdaq (ticker: TEAM, primary listing since December 2015).
• Details of Move: Atlassian, a Sydney-based software company, conducted a small IPO on the ASX in 2005 but later pursued a full Nasdaq listing in 2015, effectively shifting its primary market to the U.S. It redomiciled to the U.K. for tax purposes but chose Nasdaq over maintaining an active ASX primary listing.
• Benefits:
  • Access to Capital: The Nasdaq IPO raised $462 million at $21 per share, valuing the company at $4.4 billion—far exceeding what the ASX could likely support for a tech firm at that stage. By 2025, its market cap exceeds $40 billion, reflecting massive growth fueled by U.S. investment.
  • Investor Base: Listing on Nasdaq exposed Atlassian to U.S. institutional investors and tech-focused funds (e.g., Vanguard, BlackRock), which dominate the software sector and prefer U.S.-listed stocks.
  • Global Visibility: Nasdaq’s prominence in tech elevated Atlassian’s profile alongside giants like Microsoft and Adobe, aiding talent acquisition and partnerships (e.g., its Slack integration).
  • Valuation Boost: U.S. markets often assign higher multiples to SaaS companies (Atlassian’s core products include Jira and Confluence), driving its stock price from $21 at IPO to over $170 by late 2021, with sustained growth since.
• Outcome: The move transformed Atlassian from an Australian mid-tier player into a global tech leader, leveraging U.S. capital and prestige unavailable on the ASX alone.
• 

---

2. News Corporation (News Corp)

• Original Listing: ASX (ticker: NWS, primary listing until 2004).
• U.S. Listing: NYSE (ticker: NWS/NWSA, primary listing since November 2004).
• Details of Move: Founded by Rupert Murdoch in Australia, News Corp reincorporated in Delaware, USA, in 2004 and shifted its primary listing to the NYSE. The ASX retained a secondary listing via CDIs, but the U.S. became the dominant market. This preceded its 2013 split into News Corp and 21st Century Fox (later acquired by Disney).
• Benefits:
  • Market Scale: The NYSE offered access to the world’s largest equity market, enabling News Corp to raise billions for acquisitions (e.g., Dow Jones in 2007 for $5.6 billion), dwarfing ASX fundraising capacity.
  • U.S. Investor Appeal: The move attracted American institutional investors, crucial for a media conglomerate with growing U.S. assets (e.g., Fox, Wall Street Journal), increasing liquidity and share demand.
  • Strategic Alignment: Relocating to the U.S. aligned News Corp with its operational center—by 2004, most revenue came from North America—enhancing credibility with U.S. regulators, partners, and advertisers.
  • Valuation and Growth: Post-move, News Corp’s market cap soared, peaking above $60 billion pre-2008, and even after the 2013 split, the NYSE-listed entity maintained a multibillion-dollar valuation (e.g., ~$15 billion by 2025).
• Outcome: The NYSE listing fueled News Corp’s evolution into a global media titan, leveraging U.S. capital and proximity to its largest market, far beyond what an ASX-only presence could sustain.
• 

---

 

[Lastdip]

For anyone with an SMSF i copied this off an ATO community chat. FTC standing for foreign tax credit, which if i’m reading the ato site correctly you can claim up to $126000.

15 Sep 2022


SMSF tax will be the same, whether shares are listed in AUS or USA.



Dividends will be foreign income, so no franking credits - but you can claim FTC for any tax deducted in USA.

 

[HopalongPetrovski]

Why would people be forced to sell if they held it in super?

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.

 

[Frangipani]

In September , I speculated that Laurent Hili from ESA may have been hinting at the future Argonaut Lunar Lander, when he posted on LinkedIn that neuromorphic computing was being considered by ESA for several use cases, including a lunar lander.

Today I noticed Alf Kuchenbuch celebrating a 30 January LinkedIn post by ESA, in which they announced they had signed a contract with Thales Alenia Space in Italy to lead European aerospace companies in building the Argonaut Lunar Descent Element, ESA’s first lunar lander, to be delivered in 2030.

#argonaut | European Space Agency - ESA | 23 comments

#Argonaut: Europe's first lunar lander. ESA’s Argonaut will establish Europe's independent access to the Moon, with regular missions planned from the 2030s. Thales Alenia Space in Italy leads the European consortium to build this versatile lunar descent module.👉https://lnkd.in/e3dYDA7V | 23...

www.linkedin.com

View attachment 77146

Argonaut: a first European lunar lander

The European Space Agency (ESA) has signed a contract with Thales Alenia Space in Italy to lead European aerospace companies in building the Argonaut Lunar Descent Element, ESA’s first lunar lander.

www.esa.int

SCIENCE & EXPLORATION

Argonaut: a first European lunar lander​

30/01/20255734 VIEWS102 LIKES
ESA / Science & Exploration / Human and Robotic Exploration

The European Space Agency (ESA) has signed a contract with Thales Alenia Space in Italy to lead European aerospace companies in building the Argonaut Lunar Descent Element, ESA’s first lunar lander.

A Moon exploration scenario

ESA’s Argonaut represents Europe’s autonomous and versatile access to the Moon, supporting international exploration endeavours on the lunar surface. From the start of the next decade, the spacecraft will launch on regular missions to the Moon. These could deliver infrastructures, scientific instruments, rovers, technology demonstrators and vital resources for astronauts on the lunar surface such as food, water and air.

Argonaut will be able to survive the harsh lunar night and day for five years, providing a key capability for sustainable lunar exploration.

A mock-up of the Argonaut lunar descent element on show at the LUNA facility inauguration

Argonaut is a cornerstone of ESA’s lunar exploration strategy and is designed to work seamlessly with ESA’s Lunar Link on the Gateway and Moonlight communication and navigation systems.

Argonaut is one of Europe’s contributions to international lunar programmes, particularly NASA’s Artemis programme and commercial lunar lander services, contributing to establishing a permanent and sustainable human presence on the Moon.

The spacecraft for an Argonaut mission has three main components: the lunar descent module that takes care of flying to the Moon and landing on target, the payload, and the cargo platform that acts as the interface between the lander and payload.

Argonaut elements

Thales Alenia Space in Italy will be leading the European consortium to build the lunar descent module; the rest of the core team includes Thales Alenia Space in the United Kingdom and France, and OHB.

The team will deliver the Argonaut Lunar Descent Element in 2030 for the first operational mission, ArgoNET, expected in 2031.

By the end of 2026, the industrial consortium in charge of using the first Lunar Descent Element will be selected.

"The Argonaut contract signature is a pivotal moment for Europe’s lunar exploration ambitions," says Daniel Neuenschwander, ESA Director for Human and Robotic Exploration.
Argonaut mission patch

"This first-of-its-kind European lunar lander demonstrates ESA’s dedication to advancing our industrial capabilities in deep space exploration. Argonaut will enable Europe to contribute meaningfully to international partnerships, while paving the way for a sustainable human presence on the Moon. Europe is on its journey to the Moon and has broken the ground towards European autonomy in exploration," he adds.

View attachment 77147
View attachment 77148

#argonaut | European Space Agency - ESA | 23 comments

🆕Meet #Argonaut, Europe’s autonomous access to the Moon! Can you spot the hidden message in our mission patch? 👉https://lnkd.in/e3n3rA9J | 23 comments on LinkedIn

www.linkedin.com

Argonaut: a lunar ship – ESA – Exploration

blogs.esa.int

 

[DingoBorat]

I have no experience in this situation personally but to me it seems quite worrying. I would feel far more comfortable moving to the US with a business that is making decent revenue and a few tier one companies with products in the market, this is yet to be the case unfortunately. In my opinion not enough commercial traction had been made to support the move, well not that we have been made aware of…
I guess my biggest concern is being diluted to oblivion under the premise of raising enough capital boost our US exchange debut. The devil will be in the detail here, my question is we may not be made aware of ALL the details and the future direction by the board. They haven’t been forthcoming to this point with information so why would they now ?
The company has stated it’s concerns about the rules of the ASX but there is plenty of other ASX listed companies that manage to navigate this area with ease so why not BRN ?
Shorting is alive and well in the US also, there are numerous articles available about them devouring pre revenue companies and then the big dogs swooping in and buying what’s left for a pittance, this should be a real concern in my eyes for BRN.
I knew the move to the US would come at some point and agree it could prove prosperous, but at this point I feel we are being thrown to the wolves with either massive dilution or the crushing impact of shorters which would eventually lead to a buyout and near total loss of LTH capital.
Ever investor has a choice to buy or sell, I get that, but if deeply in the red, which many holders would be, it’s not an easy decision to make.
If multiple millions in deals are signed in the timeframe before the move is made my veiws would be considerably more supportive, However I have my doubts…
The market obviously isn’t thrilled either with 15% down on open…
Obviously just my opinion but I think there is genuine concerns to be had on what i believe to be a premature move to the US.

A well written post CWP
Saying it how it is.

I hope the Company wasn't banking on the intended move to the US, to be a share price catalyst, because that hasn't been the case, as of yet.

There would have been plenty of shorting pressure today though, so if some supporting news comes out in the next few days, that would definitely light a fire under their (the shorters) efforts.

 

[Dolci]

@Dolci so glad I listened to you and brought when I did, but I wonder how many are still waiting for 0.15c

View attachment 77685

I hope you still have some bus money as the bus is running late this year according to Anil........lol.... loaded & ready for the next journey...

 

[Dolci]

I dont see any bulls taking this to the next level as there is an LDA cloud hanging over this dilemma............if there is no news before the AGM we will be back at that 15c again in no time........

View attachment 77493

.........update on the saga that is taking place, so we hit that 20s I see ..........

 

[Diogenese]

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 zI pprepared before:

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.

'pologies Bravo,

I missed the bit about Pico.

Nevertheless, you're still ogred because it isn't Pico either.

 

[Lolci]

.........update on the saga that is taking place, so we hit that 20s I see ..........

See you tonight and don’t forget to

 

[Fenris78]

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.

I think that I will finally go fully self managed.... and use the funds from the fire sale to purchase the US stock for the longer term????