BRN Discussion Ongoing

manny100

Regular
While talking about Bascom Hunter:
SEA-AIR-SPACE 2024 - NavySTP
FirmTopicTitleTech Talk

Advanced Electronics

Bascom Hunter TechnologiesN202-099Implementing Neural Network Algorithms on Neuromorphic ProcessorsTBA
Chiral Photonics, Inc.N182-102Multicore Fiber Optic Connector for Wideband Digital and Analog Photonic LinksOn Demand
Critical Frequency Design, LLCN202-135Model Based Systems Engineering for Tactical Data Link SystemsOn Demand
Intellisense Systems, Inc.N192-079Unmanned Airborne Reconfigurable Naval Communications Network
Bascom Hunter Technologies project titled "Implementing Neural Network Algorithms on Neuromorphic Processors," which is associated with the U.S. Navy's SBIR (Small Business Innovation Research) program. This initiative focuses on developing neuromorphic processors that mimic the human brain's architecture to perform complex machine learning computations with significantly lower power consumption compared to traditional GPUs.
The project has progressed through various phases, including the development of a Neuromorphic Toolbox and hardware prototypes. These processors are designed for applications like Signals Intelligence (SIGINT) and Electronic Intelligence (ELINT), and they align with standards like SOSA (Sensor Open Systems Architecture) and HOST (Hybrid Open Systems Technology). The ultimate goal is to create deployable, efficient, and scalable neuromorphic hardware for military and intelligence use.
3U-VPX-SNAP-Card-Brochure-11252024.pdf
Bascom-ngc23.pdf
Award | SBIR
Navy STP Workspace 2.0
 
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manny100

Regular
While talking about Bascom Hunter:
SEA-AIR-SPACE 2024 - NavySTP
FirmTopicTitleTech Talk

Advanced Electronics

Bascom Hunter TechnologiesN202-099Implementing Neural Network Algorithms on Neuromorphic ProcessorsTBA
Chiral Photonics, Inc.N182-102Multicore Fiber Optic Connector for Wideband Digital and Analog Photonic LinksOn Demand
Critical Frequency Design, LLCN202-135Model Based Systems Engineering for Tactical Data Link SystemsOn Demand
Intellisense Systems, Inc.N192-079Unmanned Airborne Reconfigurable Naval Communications Network
Bascom Hunter Technologies project titled "Implementing Neural Network Algorithms on Neuromorphic Processors," which is associated with the U.S. Navy's SBIR (Small Business Innovation Research) program. This initiative focuses on developing neuromorphic processors that mimic the human brain's architecture to perform complex machine learning computations with significantly lower power consumption compared to traditional GPUs.
The project has progressed through various phases, including the development of a Neuromorphic Toolbox and hardware prototypes. These processors are designed for applications like Signals Intelligence (SIGINT) and Electronic Intelligence (ELINT), and they align with standards like SOSA (Sensor Open Systems Architecture) and HOST (Hybrid Open Systems Technology). The ultimate goal is to create deployable, efficient, and scalable neuromorphic hardware for military and intelligence use.
3U-VPX-SNAP-Card-Brochure-11252024.pdf
Bascom-ngc23.pdf
Award | SBIR
Navy STP Workspace 2.0
A quick glance at the table above shows that we are involved with 2 of the 4 companies listed under 'Advanced Electronics'. Intellisense Systens integrated AKIDA ac ordinary to the BRN March'23 News release.
Together with Bascom Hunter that is 2 out of the 4 companies listed in the table.
That tells us that we are likely to have a decent slice of the future.
 
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7für7

Top 20
-what’s your dream?

-Oh… getting rich with BRN shares and buy a Benz…


Currently my dreams

 
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manny100

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-what’s your dream?

-Oh… getting rich with BRN shares and buy a Benz…


Currently my dreams


A 5 year profitable overnight licence deal as alluded to by Tony V at the last AGM would turn nightmares into pleasant dreams.
 
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JB49

Regular
I wonder if management can give us an update on this at the AGM. Or at least when they expect royalties to start. They surely must have some feedback from customers with some timelines that they can relay on to us.

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Schwale

Regular
Anil Mankar liking this post on linked In. Could this be another clue. Could this be the mob that Brainchip is working with for their smart cities program?

1000060718.jpg
 
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Diogenese

Top 20
A 5 year profitable overnight licence deal as alluded to by Tony V at the last AGM would turn nightmares into pleasant dreams.
My understanding is that TENNs puts Akida in the shade for ultra-high speed, ultra low power. I'm not sure of the metrics for accuracy of inference. As for ML, TENNs uses "old school" back propagation, and it also uses MACs, although much smaller (ie, less power hungry) than conventional 16/32/64 bit MACs.

TENNs major claim to fame is it's ability to handle temporal information in silicon rather than software, which is a massive advance. On top of that TENNs can be advantageously implemented in software as part of the BRN software product line if silicon is not an immediate option.

I would expect that a TENNs licence would come at a significant cost premium over Akia1 because of its functional advantages, and since Akida 2 includes TENNs, that would cost more again. Akida 2 also adds long-skip which is important for example in NLP, and video processing. I don't know it there are any synergies between long skip and temporal processing, but they seem to me to be two sides of the same coin, and may be able to be combined advantageously.

We have also seen Akida 2 implemented in FPGE, albeit with inferior performance to what is expected of the Akida 2 ASIC. It had already been foreshadowed that the Akida 2 FPGA would be implemented as an on-line demonstrator.

Thinking about ML, Akida's feed forward (FF) ML would provide an enhancement to TENNs, and this may also apply to inference.

So the customer has a choice to trade off cost against performance. Where temporal analysis is crucial, TENNs would be the first choice. Akida 2 could add premium features such as advanced ML and object identification.

There is still the "stock-standard" Akida 1 in a variety of strengths which has many potential implementations, and I presume that it is available at a lower licence fee/royalty.

Then there is Pico, the Planck NPU, ideal for ultra low power applications. Interestingly, the original concept for Akida 1 was as a 1-bit NPU, but Pico could be implemented in up to 8 bits, giving much greater ability (*256) to discriminate between different input activations.

We don't know what future developments will produce, but BRN already has a broad spectrum of market-ready solutions. The company has not been sitting on its hands waiting for the market to catch up. It has laid a series of stepping stones for the customers to follow.
 
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7für7

Top 20
A 5 year profitable overnight licence deal as alluded to by Tony V at the last AGM would turn nightmares into pleasant dreams.


As I said, I’m not worried about the fact that Brainchip might or might not close a big deal. And it’s clear that with a licensing agreement from a big player, a company can become profitable overnight. This is generally true for any company or startup. Such a statement could either be made to calm down investors, hoping for such a deal over the next 10 years, or just because he was frustrated and wanted to use it as an example after all this negative response in te AGM. Right now, given the way the stock is behaving, I can’t assume that something big and positive is coming our way. We haven’t been dropping just since Trump made his statements recently. We’ve been steadily declining (with a few exceptions due to speculation before quarterly earnings). This is just my objective perception as an investor who wants to see some returns… Many here aren’t young anymore, and I genuinely wish they would finally be rewarded. And as I said, it would be best before the move to the US. All the speculation, study results, and constantly pointing out how great the products are don’t make full, like when you press your nose against a restaurant’s window, hoping to enjoy that meal in the near future – but without any dollars in your pocket.
 
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Just looked at the SP

1744178932147.gif



But happy for it to go lower as waiting for some cash come Friday 😂
 
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manny100

Regular
:)My understanding is that TENNs puts Akida in the shade for ultra-high speed, ultra low power. I'm not sure of the metrics for accuracy of inference. As for ML, TENNs uses "old school" back propagation, and it also uses MACs, although much smaller (ie, less power hungry) than conventional 16/32/64 bit MACs.

TENNs major claim to fame is it's ability to handle temporal information in silicon rather than software, which is a massive advance. On top of that TENNs can be advantageously implemented in software as part of the BRN software product line if silicon is not an immediate option.

I would expect that a TENNs licence would come at a significant cost premium over Akia1 because of its functional advantages, and since Akida 2 includes TENNs, that would cost more again. Akida 2 also adds long-skip which is important for example in NLP, and video processing. I don't know it there are any synergies between long skip and temporal processing, but they seem to me to be two sides of the same coin, and may be able to be combined advantageously.

We have also seen Akida 2 implemented in FPGE, albeit with inferior performance to what is expected of the Akida 2 ASIC. It had already been foreshadowed that the Akida 2 FPGA would be implemented as an on-line demonstrator.

Thinking about ML, Akida's feed forward (FF) ML would provide an enhancement to TENNs, and this may also apply to inference.

So the customer has a choice to trade off cost against performance. Where temporal analysis is crucial, TENNs would be the first choice. Akida 2 could add premium features such as advanced ML and object identification.

There is still the "stock-standard" Akida 1 in a variety of strengths which has many potential implementations, and I presume that it is available at a lower licence fee/royalty.

Then there is Pico, the Planck NPU, ideal for ultra low power applications. Interestingly, the original concept for Akida 1 was as a 1-bit NPU, but Pico could be implemented in up to 8 bits, giving much greater ability (*256) to discriminate between different input activations.

We don't know what future developments will produce, but BRN already has a broad spectrum of market-ready solutions. The company has not been sitting on its hands waiting for the market to catch up. It has laid a series of stepping stones for the customers to follow.
Great summary Dio,😀, cheers,
Manny
 
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Just booked my flight to Sydney if you are wondering who I am I’ll be wearing my West Ham shirt 😂

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CHIPS

Regular
From Simply WS.
Raytheon and Lockheed-Martin will be looking for new ways to make money - oh wait!!!!! it looks like they have already found the solution to their problems - BRN.
Looks like the US will go for quality over quantity to save money - BRN.
"️ U.S. Defense Under Trump's Second Term
Jumping forward now to 2025, we seem to be entering yet another era of change within a global security context. Trump's administration has paused additional military aid to Ukraine pending peace negotiations.
With Washington reconsidering its stance on overseas involvements, major U.S.contractors, like Lockheed Martin and RTX, are now faced with some uncertainty. These companies which had benefitted from huge orders that would see them replenishing US arsenals that had been sent over to Ukraine now face the reality of this demand source drying up."
Also from SWS:
" Many European nations had long underinvested in defense, benefiting from a post-Cold War “peace dividend.” That status quo abruptly changed in February 2022, when Russia invaded Ukraine, marking Europe’s biggest security crisis in decades."
The EU nations will obviously look at BRN in their military ramp up. They have seen 1st hand what unmanned can do in Ukraine - step in AIKDA/

Where are the links to this?
 
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DK6161

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HopalongPetrovski

I'm Spartacus!
 
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rgupta

Regular
It's surprising that you do not believe with the US AF and Navy transitioning to the Edge - see US AFRL, Bascom Hunter - Navy and Lockheed - Martin cybersecurity the EU with its $EU800 Bill defence spend will not look at BRN's AKIDA??
BRN already has a 'foot in the door' with Airbus and the EU has a front row seat to the war in Ukraine where the future of warfare is the emergence of unmanned craft.
If the EU want 'bang for buck' in new weaponry AKIDA is a very obvious 'look at' - just ask Bascom Hunter.
Also RTX have their foot in the 'BRN' door.
Come on Manny even if can be done it can not be 1 2 3 as you are saying. It will take atleast as much time as the present management cannot sustain.
Think about merc they said 3 years ago they are using akida in their concept car and after 3 years they are saying atleast 5-10 years if there will be any revenue.
The current management brings us upto the doors of resolution. If you donot believe it then keep on pumping. I donot know if you are buying as well.
Dyor
 

rgupta

Regular
A 5 year profitable overnight licence deal as alluded to by Tony V at the last AGM would turn nightmares into pleasant dreams.
Did not someone told you that story was to save Mr Vienna and his team last year and not to save the holders.
Be mindful stories are story and cannot be truth. Truth is something which is proven.
Dyor
 
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Did not someone told you that story was to save Mr Vienna and his team last year and not to save the holders.
Be mindful stories are story and cannot be truth. Truth is something which is proven.
Dyor
Working over time
 
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JB49

Regular
From the Cycliq Financial Report issued Feb 2025. Will we go 50/50 with BeEmotion on the 7.5%?
1744190518163.png
 
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FiveBucks

Regular
My understanding is that TENNs puts Akida in the shade for ultra-high speed, ultra low power. I'm not sure of the metrics for accuracy of inference. As for ML, TENNs uses "old school" back propagation, and it also uses MACs, although much smaller (ie, less power hungry) than conventional 16/32/64 bit MACs.

TENNs major claim to fame is it's ability to handle temporal information in silicon rather than software, which is a massive advance. On top of that TENNs can be advantageously implemented in software as part of the BRN software product line if silicon is not an immediate option.

I would expect that a TENNs licence would come at a significant cost premium over Akia1 because of its functional advantages, and since Akida 2 includes TENNs, that would cost more again. Akida 2 also adds long-skip which is important for example in NLP, and video processing. I don't know it there are any synergies between long skip and temporal processing, but they seem to me to be two sides of the same coin, and may be able to be combined advantageously.

We have also seen Akida 2 implemented in FPGE, albeit with inferior performance to what is expected of the Akida 2 ASIC. It had already been foreshadowed that the Akida 2 FPGA would be implemented as an on-line demonstrator.

Thinking about ML, Akida's feed forward (FF) ML would provide an enhancement to TENNs, and this may also apply to inference.

So the customer has a choice to trade off cost against performance. Where temporal analysis is crucial, TENNs would be the first choice. Akida 2 could add premium features such as advanced ML and object identification.

There is still the "stock-standard" Akida 1 in a variety of strengths which has many potential implementations, and I presume that it is available at a lower licence fee/royalty.

Then there is Pico, the Planck NPU, ideal for ultra low power applications. Interestingly, the original concept for Akida 1 was as a 1-bit NPU, but Pico could be implemented in up to 8 bits, giving much greater ability (*256) to discriminate between different input activations.

We don't know what future developments will produce, but BRN already has a broad spectrum of market-ready solutions. The company has not been sitting on its hands waiting for the market to catch up. It has laid a series of stepping stones for the customers to follow.
The only TENNS I'm seeing is that our share price is about to hit TENNS cents! 🫠
 
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