BRN Discussion Ongoing

The key to using AI Chat boxes eg Gemini, co pilot etc is understanding that they have great long term memory but very poor short term memory.
It is hugely expensive to build short term memory in LLMs. So it's limited.
If you extend your conversation it will forget important details from early on in the conversation. Hence errors.
Questions need to be precise, explicit and provide context.
If the conversation goes on details from earlier may need to be resupplied in case it's forgotten.
If you want more detail on this ask your chat box and it will fill you in on the best way to use it.
Ask your chatbox. Are you always reliable with the infornation you supply.
It will tell you as it is.
It will even tell you when to be cautious etc.
Ask it. Are you smart.
Manny, thanks for your insight. Sounds a bit like me - limited short term memory!
 
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Pmel

Regular
Just 1 extra show to make it look like it will open at 20c
 

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7für7

Top 20
CrJust 1 extra show to make it look like it will open at 20c
Wow so this is how a working modern crystal ball looks like… impressive! I’m still old school man… still manual…

Crystal Ball GIF by Fall Out Boy
 
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Cardpro

Regular
Shareholders,
Do you believe that our technology has advanced over the last 3 years or not ?
I think yes, you think what ?
Shareholders,
Do you think our website has improved, as in, overall information sharing ?
I think yes, you think what ?
Shareholders,
Do you believe that Antonio lied during the AGM ?
I think yes, you think what ?
Shareholders,
Do you believe that Antonio's comments at the AGM were addressed by fellow Board members after the conclusion of the AGM ?
I think yes, you think what ?
Shareholders,
Do you believe that Sean, who is 3 years 9 months into his tenure will deliver before his 5 year (agreement) is due to expire ?
I think yes, you think what ?
Shareholders,
Do you believe that the Board will suggest that we re-domicle to the US in early 2026 ?
I think not, you think what ?
Shareholders,
Are you happy with how our share price is being manipulated by an automated robotic algorithm, to the point of artificial control ?
I think not, you think what ?
Shareholders,
Do you believe that Tony is the right man to be leading our technology team ?
I think yes, you think what ?

Just some honest, genuine questions that may confirm why you are still invested in our company.

♥️ The Akida family, we are growing, please don't loose sight of that FACT !

Tech x
Share price being manipulated because there is no revenue nor material news on ASX. It occurs everywhere, and unfortunately, we have a strong track record of no material news for ages :(
 
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we have a strong track record of no material news for ages :(strong, more like
Strong don’t you mean

1752124198511.gif
 
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Tothemoon24

Top 20

GlobalFoundries buys MIPS for edge AI network dominion​

The chip maker banks on the promise of RISC-V
July 09, 2025 By Giacomo "Jack" Lee Comment
FacebookTwitterLinkedInRedditEmailShare

GlobalFoundries sdx crop
Sundry Photography/Getty Images
GlobalFoundries announced a definitive agreement to acquire chip design company MIPS, in a move focused around AI-enabled network infrastructure.
In its announcement from Tuesday, the New York-headquartered foundry firm shared that MIPS will continue to operate as a standalone business within the new setup. That business revolves around developing processor architectures, now complementing GlobalFoundries’ (GF) semiconductor manufacturing capabilities.
What makes MIPS particularly attractive to GF is its relevance in AI chip design. Recent years have seen the Sunnyvale, California business focus on RISC-V, poaching execs from the likes of AMD and RISC-V rival SiFive to bolster its mission.
Pronounced risk-five, RISC-V is an open standard instruction set (ISA) architecture based on established reduced instruction set computing (RISC) principles. Based on this, the firm’s Atlas portfolio offers compute cores designed for real-time, low-latency processing and, perhaps most pertinently, edge AI processing cores.
With the acquisition, GF is in a strong position to offer custom chip solutions for smart routers, switches, and edge-network devices that incorporate AI and machine learning functions closer to the network’s edge.
With in-house processor IP and fabrication, its custom chips are likely to attract the likes of network equipment vendors such as Cisco, and OEMs like Nokia for SoCs in 5G small cells and base stations.

AI on the edge​

The low-latency and high bandwidth efficiency of AI directly embedded in edge devices is driving more interest in the market.
As reported by SDxCentral, most initial investment in edge AI is targeted at equipment that enterprises use to support on-prem use cases.
Companies like Verizon have already signed deals with the likes of Nvidia to power enterprise AI services. While ROI remains low and IoT persists as the main edge use case driver, IDC predicts the edge compute market is set for an AI-fueled boost pushing overall segment spend to $380 billion by 2028.
With MIPS on board, GF finds itself in a good position for all this loot. That said, how big of a deal the acquisition is has not been disclosed. The last public record of a MIPS sale was for $60 million, when Tallwood Venture Capital bought the company from Imagination Technologies in 2017.
Since then, the company has changed hands a few times, being bought out by Wave Computing in 2018 for an undisclosed amount.
According to Reuters, Shanghai’s CIP United acquired full licensing rights to MIPS architecture for mainland China and its territories in 2019 for $60 million. Those rights for China will remain in CIP's hands in spite of GF’s global operations of MIPS.
GF’s acquisition of MIPS is expected to close in the second half of 2025.
 
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7für7

Top 20

GlobalFoundries buys MIPS for edge AI network dominion​

The chip maker banks on the promise of RISC-V
July 09, 2025 By Giacomo "Jack" Lee Comment
FacebookTwitterLinkedInRedditEmailShare

GlobalFoundries sdx crop
Sundry Photography/Getty Images
GlobalFoundries announced a definitive agreement to acquire chip design company MIPS, in a move focused around AI-enabled network infrastructure.
In its announcement from Tuesday, the New York-headquartered foundry firm shared that MIPS will continue to operate as a standalone business within the new setup. That business revolves around developing processor architectures, now complementing GlobalFoundries’ (GF) semiconductor manufacturing capabilities.
What makes MIPS particularly attractive to GF is its relevance in AI chip design. Recent years have seen the Sunnyvale, California business focus on RISC-V, poaching execs from the likes of AMD and RISC-V rival SiFive to bolster its mission.
Pronounced risk-five, RISC-V is an open standard instruction set (ISA) architecture based on established reduced instruction set computing (RISC) principles. Based on this, the firm’s Atlas portfolio offers compute cores designed for real-time, low-latency processing and, perhaps most pertinently, edge AI processing cores.
With the acquisition, GF is in a strong position to offer custom chip solutions for smart routers, switches, and edge-network devices that incorporate AI and machine learning functions closer to the network’s edge.
With in-house processor IP and fabrication, its custom chips are likely to attract the likes of network equipment vendors such as Cisco, and OEMs like Nokia for SoCs in 5G small cells and base stations.

AI on the edge​

The low-latency and high bandwidth efficiency of AI directly embedded in edge devices is driving more interest in the market.
As reported by SDxCentral, most initial investment in edge AI is targeted at equipment that enterprises use to support on-prem use cases.
Companies like Verizon have already signed deals with the likes of Nvidia to power enterprise AI services. While ROI remains low and IoT persists as the main edge use case driver, IDC predicts the edge compute market is set for an AI-fueled boost pushing overall segment spend to $380 billion by 2028.
With MIPS on board, GF finds itself in a good position for all this loot. That said, how big of a deal the acquisition is has not been disclosed. The last public record of a MIPS sale was for $60 million, when Tallwood Venture Capital bought the company from Imagination Technologies in 2017.
Since then, the company has changed hands a few times, being bought out by Wave Computing in 2018 for an undisclosed amount.
According to Reuters, Shanghai’s CIP United acquired full licensing rights to MIPS architecture for mainland China and its territories in 2019 for $60 million. Those rights for China will remain in CIP's hands in spite of GF’s global operations of MIPS.
GF’s acquisition of MIPS is expected to close in the second half of 2025.


Yeah but you know….
“We are pushing the boundaries to enable AI on the edge.”


Come On What GIF by MOODMAN
 
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Diogenese

Top 20
Global Foundries are the makers of the Akida 1500 22nm FD-SoI chips.

https://brainchip.com/brainchip-rec...icon-from-technology-partner-globalfoundries/

It looks like the wisdom of our early engagement with RISC-V company SiFive is beginning to shine through.

Chelpis, Andes, Frontgrade all use RISC-V.

MIPS have a suite of patents relating to a switching fabric array for interconnecting NNs. It's possible that this is used in Akida to select the NPU arrangement for the layers of a NN.

US2020034262A1 PROCESSOR ARRAY REDUNDANCY 20180727

1752129811316.png
1752129836788.png



processor synchronization within a reconfigurable computing environment for processor array redundancy. Processing elements are configured within a reconfigurable fabric to implement two or more redundant processors, where the two or more redundant processors are enabled for coincident operation. An agent is loaded on each of the two or more redundant processors, where the agent performs a function requiring data validation. The agent is fired on each of the two or more redundant processors to commence coincident operation. The coincident operation can include a lockstep operation. An output data result from each of the two or more redundant processors is compared to enable a data validation result. The data validation result is propagated. The propagating the data validation result can be based on comparing valid output data or can be based on comparing invalid output data.


So maybe BRN was the marriage broker?
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Global Foundries are the makers of the Akida 1500 22nm FD-SoI chips.

https://brainchip.com/brainchip-rec...icon-from-technology-partner-globalfoundries/

It looks like the wisdom of our early engagement with RISC-V company SiFive is beginning to shine through.

Chelpis, Andes, Frontgrade all use RISC-V.

MIPS have a suite of patents relating to a switching fabric array for interconnecting NNs. It's possible that this is used in Akida to select the NPU arrangement for the layers of a NN.

US2020034262A1 PROCESSOR ARRAY REDUNDANCY 20180727

View attachment 88334 View attachment 88335


processor synchronization within a reconfigurable computing environment for processor array redundancy. Processing elements are configured within a reconfigurable fabric to implement two or more redundant processors, where the two or more redundant processors are enabled for coincident operation. An agent is loaded on each of the two or more redundant processors, where the agent performs a function requiring data validation. The agent is fired on each of the two or more redundant processors to commence coincident operation. The coincident operation can include a lockstep operation. An output data result from each of the two or more redundant processors is compared to enable a data validation result. The data validation result is propagated. The propagating the data validation result can be based on comparing valid output data or can be based on comparing invalid output data.


So maybe BRN was the marriage broker?


Sounds very promising @Diogense!

It says in the article that @Toothemoon posted:

"With the acquisition, GF is in a strong position to offer custom chip solutions for smart routers, switches, and edge-network devices that incorporate AI and machine learning functions closer to the network’s edge."

Talk about being right down our alley! Surely BrainChip would be a great fit as a complementary IP block into MIPS-designed RISC-V SoCs for reducing power and latency in edge ML workloads, enabling local learning, offloading inference, etc.

Prior fab partner for BrainChip - tick
Synergy with RISC-V (i.e. Si-Five, etc. ) - tick
Edge AI focus - tick
GF is pushing into custom SoC development with vertical stacks - tick

If BrainChip wanted to tape out Akida 2 or Akida 3 in silicon, GF would be a natural foundry candidate.


i-like-it-a-lot.gif
 
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TheDrooben

Pretty Pretty Pretty Pretty Good

GlobalFoundries buys MIPS for edge AI network dominion​

The chip maker banks on the promise of RISC-V
July 09, 2025 By Giacomo "Jack" Lee Comment
FacebookTwitterLinkedInRedditEmailShare

GlobalFoundries sdx crop
Sundry Photography/Getty Images
GlobalFoundries announced a definitive agreement to acquire chip design company MIPS, in a move focused around AI-enabled network infrastructure.
In its announcement from Tuesday, the New York-headquartered foundry firm shared that MIPS will continue to operate as a standalone business within the new setup. That business revolves around developing processor architectures, now complementing GlobalFoundries’ (GF) semiconductor manufacturing capabilities.
What makes MIPS particularly attractive to GF is its relevance in AI chip design. Recent years have seen the Sunnyvale, California business focus on RISC-V, poaching execs from the likes of AMD and RISC-V rival SiFive to bolster its mission.
Pronounced risk-five, RISC-V is an open standard instruction set (ISA) architecture based on established reduced instruction set computing (RISC) principles. Based on this, the firm’s Atlas portfolio offers compute cores designed for real-time, low-latency processing and, perhaps most pertinently, edge AI processing cores.
With the acquisition, GF is in a strong position to offer custom chip solutions for smart routers, switches, and edge-network devices that incorporate AI and machine learning functions closer to the network’s edge.
With in-house processor IP and fabrication, its custom chips are likely to attract the likes of network equipment vendors such as Cisco, and OEMs like Nokia for SoCs in 5G small cells and base stations.

AI on the edge​

The low-latency and high bandwidth efficiency of AI directly embedded in edge devices is driving more interest in the market.
As reported by SDxCentral, most initial investment in edge AI is targeted at equipment that enterprises use to support on-prem use cases.
Companies like Verizon have already signed deals with the likes of Nvidia to power enterprise AI services. While ROI remains low and IoT persists as the main edge use case driver, IDC predicts the edge compute market is set for an AI-fueled boost pushing overall segment spend to $380 billion by 2028.
With MIPS on board, GF finds itself in a good position for all this loot. That said, how big of a deal the acquisition is has not been disclosed. The last public record of a MIPS sale was for $60 million, when Tallwood Venture Capital bought the company from Imagination Technologies in 2017.
Since then, the company has changed hands a few times, being bought out by Wave Computing in 2018 for an undisclosed amount.
According to Reuters, Shanghai’s CIP United acquired full licensing rights to MIPS architecture for mainland China and its territories in 2019 for $60 million. Those rights for China will remain in CIP's hands in spite of GF’s global operations of MIPS.
GF’s acquisition of MIPS is expected to close in the second half of 2025.

"IDC predicts the edge compute market is set for an AI-fueled boost pushing overall segment spend to $380 billion by 2028."

giphy (25).gif
 
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Esq.111

Fascinatingly Intuitive.
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Felix

Member
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Email fixerwalletretrieval@fixer.co.site

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@zeeb0t, you know you hate free advertising
 

RobjHunt

Regular
Bigger business with work from home staff, staff on the road or travelling and sub office staff all carry devices including lap tops, phones, printers, etc that access the mainframe network. These devices provide openings for hackers.
Government departments have a lot of work from home staff which increase the vulnerability for cyberattack. We have seen plenty of cyberattacks in Australia where private data has been stolen.
Not sure what the C and a couple of Y's is:rolleyes:
I was referring Dodgyknees references to Cybersecurity.
 
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Tothemoon24

Top 20
IMG_1236.jpeg




The Missing Piece of Smart Things Manufacturing 🧠⚡

Remember our vision of 3D printing smart shipping boxes and supply chain sensors at any corner store earlier this week? One underlying technology that can make it possible are new chips that think like the human brain.

Neuromorphic edge chips are now so small and efficient they can be embedded anywhere. We're talking tiny 1-milliwatt processors that work like our brains do—100x faster processing and 500x lower energy consumption. 🚀

Companies like BrainChip and SynSense are developing these today. While not ready for any old box yet, they're rapidly approaching the point where intelligence becomes as standard as plastic in manufacturing.

What becomes possible when 1-milliwatt intelligence gets embedded anywhere? 💡
📦 Smart packaging on pallets that knows when something's wrong
🔐 Product-level monitoring with chips smart enough to detect issues
📊 Equipment sensors that understand their environment and alert you instantly
⚡ Connected intelligence in boxes, products, even intelligent documents

Here's the breakthrough: 🎯
These chips literally work like our brains do—they only activate when something happens. Smart enough to understand when something's wrong, connected enough to let you know instantly.

🧠 Brain-inspired processing that mimics human neurons
🔋 1-milliwatt power - operates for months on minimal energy
💾 Microscopic size - getting small enough for embedding anywhere
💰 Incredible economics - intelligence approaching the cost of a sticker

Imagine designing things by specifying not just shape and material, but exactly where to place micro-intelligence during printing. Every object emerges already smart, already connected.

What becomes possible when intelligence is built into the manufacturing process? 🤔 The answer is reshaping entire industries—and we're just getting started. 🌍
#Innovation #3DPrinting #SmartObjects #SupplyChain #Logistics #Manufacturing #EdgeComputing #Neuromorphi


The Missing Piece of Smart Things Manufacturing 🧠⚡

Remember our vision of 3D printing smart shipping boxes and supply chain sensors at any corner store earlier this week? One underlying technology that can make it possible are new chips that think like the human brain.

Neuromorphic edge chips are now so small and efficient they can be embedded anywhere. We're talking tiny 1-milliwatt processors that work like our brains do—100x faster processing and 500x lower energy consumption. 🚀

Companies like BrainChip and SynSense are developing these today. While not ready for any old box yet, they're rapidly approaching the point where intelligence becomes as standard as plastic in manufacturing.

What becomes possible when 1-milliwatt intelligence gets embedded anywhere? 💡
📦 Smart packaging on pallets that knows when something's wrong
🔐 Product-level monitoring with chips smart enough to detect issues
📊 Equipment sensors that understand their environment and alert you instantly
⚡ Connected intelligence in boxes, products, even intelligent documents

Here's the breakthrough: 🎯
These chips literally work like our brains do—they only activate when something happens. Smart enough to understand when something's wrong, connected enough to let you know instantly.

🧠 Brain-inspired processing that mimics human neurons
🔋 1-milliwatt power - operates for months on minimal energy
💾 Microscopic size - getting small enough for embedding anywhere
💰 Incredible economics - intelligence approaching the cost of a sticker

Imagine designing things by specifying not just shape and material, but exactly where to place micro-intelligence during printing. Every object emerges already smart, already connected.

What becomes possible when intelligence is built into the manufacturing process? 🤔 The answer is reshaping entire industries—and we're just getting started. 🌍
#Innovation #3DPrinting #SmartObjects #SupplyChain #Logistics #Manufacturing #EdgeComputing #Neuromorphi



IMG_1238.jpeg
 
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A possible company to keep an eye on:


"Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in powerenergy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance."

One of the jobs desired qualifications:

"Background in AI/ML applications for edge deployment, including model optimization techniques (e.g., pruning, quantization, or neuromorphic computing)"

A link if you're interested to know a bit more about Integer Technologies:

 
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Frangipani

Top 20
Speaking of Silicon Valley: The position of “Sales Director US/Bay Area” is still open after more than five months of advertising it:
(Cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-445809).

I am somewhat surprised our company still hasn’t found anyone deemed suitable to fill this position (which will be reporting directly to the VP of Global Sales), given our KMP clearly saw a need by creating this new job.

Or is the problem possibly a lack of applicants due to the high requirements listed under “Essential job duties and responsibilities” and “Qualifications” that may come across as overwhelming to some?

Do qualified and interested candidates possibly shy away from applying when reading things like “Expectation to complete at least one contract/deal within your first year of employment” against the backdrop of our company’s woeful financials and minimalist IP sales track record so far, wondering whether they will risk being given the boot within a year of starting their new job or even worse fear the company may not survive financially?

Note that potential applicants with a business, marketing or engineering degree, although experienced in the semiconductor or technology industry, may not necessarily be familiar with neuromorphic technology and its future prospects, yet. At the end of the day, they might prefer to go with an established big player or a smaller, but already meaningful revenue-generating company.
After all, the Bay Area is teeming with companies in the semiconductor business, from giant global players to promising startups.


View attachment 86768


One month later…

Another attempt at finding a suitable candidate for the advertised position as “Sales Director, US/ Bay Area” - and it doesn’t seem to be a “lack of applicants” matter in general…


ADA22BB1-E9C1-4207-BF2D-3E397ED8B9F0.jpeg



34DAE96D-1985-4030-B7EA-BD63E5F8D0B3.jpeg
D1C2BEDF-87B9-4EE9-B957-D30FA23207E7.jpeg
 
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Diogenese

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Frangipani

Top 20
Laurent Hili on the ESA-supported BrainChip -Frontgrade Gaisler partnership:


View attachment 88310



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