BRN Discussion Ongoing

Tothemoon24

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IMG_1230.jpeg


Check out this job at BrainChip :
https://www.linkedin.com/jobs/view/4260751955
 
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Tothemoon24

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IMG_1231.jpeg




Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware.

This demo showcases low-latency, high-efficiency performance as a script performs live inference on a video stream. Sokolov also highlights the DeGirum AI Hub—a cloud-based platform that allows developers to evaluate models and test deployments.

 
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Diogenese

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View attachment 88304



Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware.

This demo showcases low-latency, high-efficiency performance as a script performs live inference on a video stream. Sokolov also highlights the DeGirum AI Hub—a cloud-based platform that allows developers to evaluate models and test deployments.





"We have integrated Akida into our PySDK and AI Hub." ... " running DeGirum’s PySDK application directly on BrainChip hardware"

So, on the PCIe board, the grey square below the asterisk is Akida

1752070538057.png


This is a nude Akida, without its flashy outer case. Bottom right is the characteristic chamfered corner. So is this from a new production run, or from the first engineering samples, or just an unboxed "commercial run" chip - or maybe 1500 (remembering that PCIe is not the mother board, so the CPU is on a different board)?

Here's a link to DeGirum's AI Hub:

https://www.prnewswire.com/news-rel...accelerate-edge-ai-development-302346154.html

SANTA CLARA, Calif., Jan. 13, 2025 /PRNewswire/ -- DeGirum®, a leader in edge AI software, announced the release of its AI Hub, an accessible evaluation platform designed to simplify AI prototyping and development at the edge. DeGirum's AI Hub enables developers to experiment with AI models for their applications. The platform supports a range of accelerators and application processors, including Hailo®, Intel®, MemryX®, BrainChip®, Rockchip®, and Google®.

"We are excited to launch our AI Hub which allows our customers to try many different industry leading AI processors and accelerators. 1000+ models are immediately available to try, with a wide range of algorithms and hardware solutions," said Bill Eichen, VP of Business Development at DeGirum.

DeGirum AI Hub
DeGirum's AI Hub enables rapid AI prototyping by providing access to hardware through an evaluation platform. The platform offers extensive model support, giving developers access to a diverse library of machine learning models to kickstart development. It features a model porting toolchain that converts training checkpoints into deployable models optimized for supported hardware targets. The AI Hub also hosts a model zoo, enabling edge devices to load and update models on demand, eliminating the need to bundle models within applications
.




https://degirum.us.auth0.com/login?state=hKFo2SAycm5ubGxCU25EdnRwWmVhc0ZmTUlQdlRqUzVNVDB3UKFupWxvZ2luo3RpZNkgckw0RllpSkExSXJVV3p5YllJdWNUNkttMmhlcWdFUFCjY2lk2SBBQWxoeUltNFpxWWVBbEhQdjlqSnp0b09yRkhWQTNLYg&client=AAlhyIm4ZqYeAlHPv9jJztoOrFHVA3Kb&protocol=oauth2&scope=openid profile email offline_access&redirect_uri=https://hub.degirum.com&audience=https://degirum.us.auth0.com/api/v2/&response_type=code&response_mode=query&nonce=WTNhdUFRekxuTWRkRmdCMThaQ25OazROa0g1M0J2X2ZOTUJYaTQwOWJzWQ==&code_challenge=ZR0xgT2SjDRFBkZyZajqQt95XXbu5let9B_I7JUZ7L8&code_challenge_method=S256&auth0Client=eyJuYW1lIjoiYXV0aDAtdnVlIiwidmVyc2lvbiI6IjIuMy4xIn0=

Supported Hardware​

Hailo DEEPX Intel MemryX Brainchip Google DeGirum Rockchip
 
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Frangipani

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


25A66BBB-7E7A-49CC-A7F4-C09B80CFA25D.jpeg
 
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Frangipani

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Akida gets a favourable mention alongside Loihi in a recent paper (“From Tiny Machine Learning to Tiny Deep Learning: A Survey”) by Texas State University researchers:

“[Neuromorphic] architectures promise efficient always-on inference on MCU-scale devices ideal for continuous monitoring applications-with hardware platforms like BrainChip’s Akida and Intel’s Loihi leading the way.”



C7782EC6-3DA5-4826-9A96-4B1A48BCA1FF.jpeg

(…)

A978198B-54CF-4D60-844D-3DD3D3F84157.jpeg
5D88DC54-1798-4BE7-A41D-594DF7D7EEB3.jpeg
 
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manny100

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Manny, I don't trust AI generated responses, and don't use any AI search engines.
Have you, or would you ask your AI, something negative along the lines of, "I don't think Brainchip will be a successful business, what do you think?"
Just interested in what then reply would be.

B
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.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Here's a new Analog Devices job ad (posted 7 days ago) for an AI Compute Architect being hired to lead architectural integration of µAI (micro AI) compute blocks, analog AI, in-memory computing and spiking neural networks / neuromorphic computing.

A pretty clear signal IMO that neuromorphic approaches are on ADI’s SoC roadmap.

As you can see, they’re looking for someone to help with early RTL and analog prototyping, interface definition and IP integration, which shows they’re not just researching but planning to potentially integrate third-party IPs (like BrainChip’s Akida or some other similar neuromorphic technology).

The job responsibilities include:

“Support early RTL and analog prototyping of both internal and third-party IP blocks.”

That's a pretty strong indicator they’re at least open to collaborating with companies like BrainChip. 🤞

Obviously, it's by no means confirmation of any sort of partnership, but it’s certainly a door that seems to be open.

No need to wait on the welcome mat, Sean. Cruise on through like you mean business!




Screenshot 2025-07-10 at 5.17.59 am.png




Screenshot 2025-07-10 at 5.18.30 am.png


Screenshot 2025-07-10 at 5.18.44 am.png



 
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Esq.111

Fascinatingly Intuitive.
Morning Chippers,


Nothing on us , .....yet .

Meta buying a little stake .... Smart Glasses.

Shares of Ray-Ban maker EssilorLuxottica jump on reported Meta stake https://share.google/3o9s29xk9X9uwZDJV

Regards,
Esq.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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7für7

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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

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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

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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
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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

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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
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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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