BRN Discussion Ongoing

Slade

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Shout out to Sean and Antonio. Thanks for all that you have done for Australian investors.
 
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Doz

Regular
And here is a third one showing Kurt Manninen with the LLM demo:

I wish they would not use the exact same question every single time (“What is a point of sale system?”).

View attachment 88047





They may have asked the same question , but the responses are totally different . Has Kurt’s model been fine tuned specifically for retail purposes ?

1751595793479.png



1751595868984.png
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Screenshot 2025-07-04 at 12.25.16 pm.png







My Question: What would be the most logical areas of contribution be, if BrainChip were to be involved in this contract/program?


ChatGPT Response: If BrainChip were to be involved in Lockheed Martin’s Aegis Ballistic Missile Defense (BMD) upgrade program under this new $2.97 billion contract, the most logical area of contribution would be in advanced radar signal processing and sensor fusion — areas where their Akida neuromorphic processor and TENNs (Temporal Event-Based Neural Networks) can offer unique advantages.




🎯 Specific Components Where BrainChip Could Contribute:


1. Radar Signal Processing (e.g., SPY-1, SPY-6 radars)


  • Aegis relies heavily on radar (active electronically scanned arrays) for missile detection, tracking, and intercept guidance.
  • Akida could be used to pre-process radar data at the sensor edge with:
    • Low latency and low power
    • Micro-Doppler signature recognition (detecting, classifying, and predicting incoming missile threats)
    • Improved discrimination between clutter and real targets
  • This would reduce the processing burden on main mission computers and improve real-time threat responsiveness.

2. Sensor Fusion / Multi-modal Data Integration


  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
  • Akida's event-based processing could help:
    • Fuse diverse sensor inputs more efficiently
    • Extract high-confidence signals from noisy, complex environments
    • Maintain performance even in GPS-denied or jammed conditions

3. Missile Interceptor Guidance Systems (e.g., Glide Phase Interceptor - GPI)


  • Neuromorphic processors like Akida are well-suited for embedded use in small, SWaP-constrained platforms like interceptors or kill vehicles.
  • They could help with:
    • Terminal phase threat discrimination
    • Real-time object tracking and targeting adjustments

4. Electronic Warfare (EW) and Threat Classification


  • As Raytheon and Lockheed both expand into cognitive EW, BrainChip could support:
    • Autonomous jamming detection and classification
    • Edge decision-making in dynamic threat environments



🧠 Why Neuromorphic vs Traditional AI?​


Traditional AI (e.g., CNNs running on GPUs) is:


  • Power-hungry
  • Latency-prone
  • Often not suitable for real-time edge decision-making in missiles, drones, or battlefield systems

BrainChip's Akida and TENNs offer:


  • Real-time response
  • Ultra-low power use (critical for embedded platforms)
  • On-device learning and classification without needing cloud uplinks



🔄 Summary:​


BrainChip would most likely contribute in areas such as:


  • Edge radar signal processing
  • Micro-Doppler threat discrimination
  • Real-time, low-latency decision support for missile intercept systems
  • Sensor fusion and cognitive electronic warfare

Their role would likely be as a hardware-level enabler, accelerating and enhancing AI inference and classification functions on the edge, particularly in areas where every millisecond and milliwatt counts.
 
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7für7

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PAll this talk about T-shirts has got me spiralling back to that moment when Rob Telson declared that Ken the robot needed a companion - a robotic dog named Higgins, of all things.

Did he consult a psychic who secretly foreshadowed the Chelpis quadruped dog-bot project?
Why the name Higgins?
What does it mean?
What is the meaning of life?
Is there only one universe or is this a simulation?
If there's a multiverse, can we collect licensing revenue from alternate dimensions too?

I often find myself waking up at about 4am trying to answer this conundrum.

Should I consult the new IR team about it?

I know….this might sound amusing to some. But from the perspective of a (not-yet-officially-launched) research project in the field of brand mythology and cult-value dynamics, a rather interesting pattern emerges:

Companies that evolve…intentionally or not…into so-called “meme brands” often generate a self-sustaining momentum that transcends their actual products or services. In many cases, this leads to branded merchandise gaining not just symbolic status, but actual collector’s value over time.

The working hypothesis (still unproven, but mentally backed by preliminary observational data) is as follows:

The greater the gap between a company’s realworld fundamentals and its cultural elevation, the greater the potential for merchandise to become speculative value artifacts.

Unfortunately, I can’t name any specific examples at this time…partly due to confidentiality, partly because I haven’t actually started my literature review yet. But I think you see where this is going.

Just imagine me sitting in a tailored suit, surrounded by an impressive wall of books, smoking a pipe, and staring into the camera while saying things that sound profound… but don’t actually answer anyone’s questions.

Bottom line:
Whether BrainChip proves itself fundamentally or not…if it becomes a cult-like symbol within an investor subculture, some of its merch (caps, shirts, pins) could one day hold more value than certain warrants. As long as they’re scarce and not mass-produced, that is.

So I say, with academic gravitas and meme-fueled optimism

GO BRAINCHIP

Teacher Yes GIF by Vadoo TV
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Shout out to Sean and Antonio. Thanks for all that you have done for Australian investors.

Sadly, at this point in time they're in the running for an ovation in reverse.

Like a seated protest with sound effects.


gif.gif
gif-gif.88057
 
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manny100

Top 20

View attachment 88056






My Question: What would be the most logical areas of contribution be, if BrainChip were to be involved in this contract/program?


ChatGPT Response: If BrainChip were to be involved in Lockheed Martin’s Aegis Ballistic Missile Defense (BMD) upgrade program under this new $2.97 billion contract, the most logical area of contribution would be in advanced radar signal processing and sensor fusion — areas where their Akida neuromorphic processor and TENNs (Temporal Event-Based Neural Networks) can offer unique advantages.




🎯 Specific Components Where BrainChip Could Contribute:


1. Radar Signal Processing (e.g., SPY-1, SPY-6 radars)


  • Aegis relies heavily on radar (active electronically scanned arrays) for missile detection, tracking, and intercept guidance.
  • Akida could be used to pre-process radar dataat the sensor edge with:
    • Low latency and low power
    • Micro-Doppler signature recognition (detecting, classifying, and predicting incoming missile threats)
    • Improved discrimination between clutter and real targets
  • This would reduce the processing burden on main mission computers and improve real-time threat responsiveness.

2. Sensor Fusion / Multi-modal Data Integration


  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
  • Akida's event-based processing could help:
    • Fuse diverse sensor inputs more efficiently
    • Extract high-confidence signals from noisy, complex environments
    • Maintain performance even in GPS-denied or jammed conditions

3. Missile Interceptor Guidance Systems (e.g., Glide Phase Interceptor - GPI)


  • Neuromorphic processors like Akida are well-suited for embedded use in small, SWaP-constrained platforms like interceptors or kill vehicles.
  • They could help with:
    • Terminal phase threat discrimination
    • Real-time object tracking and targeting adjustments

4. Electronic Warfare (EW) and Threat Classification


  • As Raytheon and Lockheed both expand into cognitive EW, BrainChip could support:
    • Autonomous jamming detection and classification
    • Edge decision-making in dynamic threat environments



🧠 Why Neuromorphic vs Traditional AI?​


Traditional AI (e.g., CNNs running on GPUs) is:


  • Power-hungry
  • Latency-prone
  • Often not suitable for real-time edge decision-making in missiles, drones, or battlefield systems

BrainChip's Akida and TENNs offer:


  • Real-time response
  • Ultra-low power use (critical for embedded platforms)
  • On-device learning and classification without needing cloud uplinks



🔄 Summary:​


BrainChip would most likely contribute in areas such as:


  • Edge radar signal processing
  • Micro-Doppler threat discrimination
  • Real-time, low-latency decision support for missile intercept systems
  • Sensor fusion and cognitive electronic warfare

Their role would likely be as a hardware-level enabler, accelerating and enhancing AI inference and classification functions on the edge, particularly in areas where every millisecond and milliwatt counts.
Apart from radar as an obvious choice for AKIDA I think Lockheed-Martin would also look at cybersecurity to protect radar and missile systems from interference.
 
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Diogenese

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View attachment 88056






My Question: What would be the most logical areas of contribution be, if BrainChip were to be involved in this contract/program?


ChatGPT Response: If BrainChip were to be involved in Lockheed Martin’s Aegis Ballistic Missile Defense (BMD) upgrade program under this new $2.97 billion contract, the most logical area of contribution would be in advanced radar signal processing and sensor fusion — areas where their Akida neuromorphic processor and TENNs (Temporal Event-Based Neural Networks) can offer unique advantages.




🎯 Specific Components Where BrainChip Could Contribute:


1. Radar Signal Processing (e.g., SPY-1, SPY-6 radars)


  • Aegis relies heavily on radar (active electronically scanned arrays) for missile detection, tracking, and intercept guidance.
  • Akida could be used to pre-process radar dataat the sensor edge with:
    • Low latency and low power
    • Micro-Doppler signature recognition (detecting, classifying, and predicting incoming missile threats)
    • Improved discrimination between clutter and real targets
  • This would reduce the processing burden on main mission computers and improve real-time threat responsiveness.

2. Sensor Fusion / Multi-modal Data Integration


  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
  • Akida's event-based processing could help:
    • Fuse diverse sensor inputs more efficiently
    • Extract high-confidence signals from noisy, complex environments
    • Maintain performance even in GPS-denied or jammed conditions

3. Missile Interceptor Guidance Systems (e.g., Glide Phase Interceptor - GPI)


  • Neuromorphic processors like Akida are well-suited for embedded use in small, SWaP-constrained platforms like interceptors or kill vehicles.
  • They could help with:
    • Terminal phase threat discrimination
    • Real-time object tracking and targeting adjustments

4. Electronic Warfare (EW) and Threat Classification


  • As Raytheon and Lockheed both expand into cognitive EW, BrainChip could support:
    • Autonomous jamming detection and classification
    • Edge decision-making in dynamic threat environments



🧠 Why Neuromorphic vs Traditional AI?​


Traditional AI (e.g., CNNs running on GPUs) is:


  • Power-hungry
  • Latency-prone
  • Often not suitable for real-time edge decision-making in missiles, drones, or battlefield systems

BrainChip's Akida and TENNs offer:


  • Real-time response
  • Ultra-low power use (critical for embedded platforms)
  • On-device learning and classification without needing cloud uplinks



🔄 Summary:​


BrainChip would most likely contribute in areas such as:


  • Edge radar signal processing
  • Micro-Doppler threat discrimination
  • Real-time, low-latency decision support for missile intercept systems
  • Sensor fusion and cognitive electronic warfare

Their role would likely be as a hardware-level enabler, accelerating and enhancing AI inference and classification functions on the edge, particularly in areas where every millisecond and milliwatt counts.
"
  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
"
- sonar for hypersonics - it's not "here it comes!", it's "what was that?" ... and then "Duck!"
 
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manny100

Top 20
View attachment 88056






My Question: What would be the most logical areas of contribution be, if BrainChip were to be involved in this contract/program?


ChatGPT Response: If BrainChip were to be involved in Lockheed Martin’s Aegis Ballistic Missile Defense (BMD) upgrade program under this new $2.97 billion contract, the most logical area of contribution would be in advanced radar signal processing and sensor fusion — areas where their Akida neuromorphic processor and TENNs (Temporal Event-Based Neural Networks) can offer unique advantages.




🎯 Specific Components Where BrainChip Could Contribute:


1. Radar Signal Processing (e.g., SPY-1, SPY-6 radars)


  • Aegis relies heavily on radar (active electronically scanned arrays) for missile detection, tracking, and intercept guidance.
  • Akida could be used to pre-process radar dataat the sensor edge with:
    • Low latency and low power
    • Micro-Doppler signature recognition (detecting, classifying, and predicting incoming missile threats)
    • Improved discrimination between clutter and real targets
  • This would reduce the processing burden on main mission computers and improve real-time threat responsiveness.

2. Sensor Fusion / Multi-modal Data Integration


  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
  • Akida's event-based processing could help:
    • Fuse diverse sensor inputs more efficiently
    • Extract high-confidence signals from noisy, complex environments
    • Maintain performance even in GPS-denied or jammed conditions

3. Missile Interceptor Guidance Systems (e.g., Glide Phase Interceptor - GPI)


  • Neuromorphic processors like Akida are well-suited for embedded use in small, SWaP-constrained platforms like interceptors or kill vehicles.
  • They could help with:
    • Terminal phase threat discrimination
    • Real-time object tracking and targeting adjustments

4. Electronic Warfare (EW) and Threat Classification


  • As Raytheon and Lockheed both expand into cognitive EW, BrainChip could support:
    • Autonomous jamming detection and classification
    • Edge decision-making in dynamic threat environments



🧠 Why Neuromorphic vs Traditional AI?​


Traditional AI (e.g., CNNs running on GPUs) is:


  • Power-hungry
  • Latency-prone
  • Often not suitable for real-time edge decision-making in missiles, drones, or battlefield systems

BrainChip's Akida and TENNs offer:


  • Real-time response
  • Ultra-low power use (critical for embedded platforms)
  • On-device learning and classification without needing cloud uplinks



🔄 Summary:​


BrainChip would most likely contribute in areas such as:


  • Edge radar signal processing
  • Micro-Doppler threat discrimination
  • Real-time, low-latency decision support for missile intercept systems
  • Sensor fusion and cognitive electronic warfare

Their role would likely be as a hardware-level enabler, accelerating and enhancing AI inference and classification functions on the edge, particularly in areas where every millisecond and milliwatt counts.
Also AKIDA's chip dynamic learning is a huge step up from pre programmed static existing systems. AKIDA will adjust to changes in threats in real time which is critical for defence systems.
Also for cybersecurity AKIDA would detect a threat in real time and isolate it.
 
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They may have asked the same question , but the responses are totally different . Has Kurt’s model been fine tuned specifically for retail purposes ?

View attachment 88054


View attachment 88055
there is temperature in ai models settings. when you set to 0 it will always give you the same answer. when you set to bigger number it will always give you different answers
 
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Probs posted (apols if has) but haven't checked. Steve Brightfield having a short chat with Electronic Design uploaded 3 days ago.


 
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FJ-215

Regular
"
  • Aegis systems integrate data from radars, sonar, EO/IR sensors, and satellite feeds.
"
- sonar for hypersonics - it's not "here it comes!", it's "what was that?" ... and then "Duck!"
Oh no!!!

Not Aegis again ... :sick::sick::sick:
 
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jrp173

Regular
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itsol4605

Regular
What is funny about this?? :unsure:
It escalates somewhat to huge data centers that operate under extreme laboratory conditions and on a tiny scale.

Completely ignored is how it can even be used in future data centers.

Furthermore, the impression is created that it could save energy.

The proposed process requires large amounts of energy!!
 
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Hi everyone, including StockHound81 over on HC, whom I trust will be reading this,

the image @Humble Genius posted with the added line “Existing members of Tsex or HC forums an advantage” is not a screenshot of the original LinkedIn job ad by BrainChip. I assume it was his idea of a joke, given the real LinkedIn ad does say “Monitor and listen to industry social account and groups for key topics”.

I know for sure it wasn’t the original, as I happened to be the poster who had posted the original (without the added TSE/HC line!) shortly before @Humble Genius posted the altered version, which he should have marked as parody to avoid all the confusion, although as @jrp173 correctly noted, it is in a different font from LinkedIn posts and was thus discernible as a joke to me personally (who had also just posted a screenshot of the real ad and was thus doubly aware of the inauthenticity of the added line). And I also agree that it is highly unlikely that BrainChip would include those forum abbreviations in a job ad for a US-based social media intern unlikely to have ever heard of them.

Saying that, there has indeed been a bit of editing/deleting going on with BrainChip LinkedIn posts in recent months, and in addition, the AGM webcast never got uploaded to YouTube (and we all know why…), so it should not come as a surprise when some people’s suspicion gets aroused.

Here is the proof (I needed to take two screenshots, as the ad was too long for one - the second screenshot starts below the lines I had marked in green):

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-465055

View attachment 88008

View attachment 88009


Meanwhile, the contested post by @Humble Genius has apparently been deleted. It was between mine and that of @smoothsailing18 (to whom it was addressed), and @smoothsailing18’s reaction is still visible.

View attachment 88012


Let me make this clear: While the image @Humble Genius posted was not a screenshot of the original LinkedIn job ad, StockHound81 did not alter or forge that screenshot in any way, if it is the same as the one shown in @jrp173 ’s post (since I don’t have an HC account, I can read the texts, but images/screenshots posted are mostly blurry). It was definitely posted here on TSE on 7 June 2025 and was not marked as a parody post. I can vouch for that.

So yes, StockHound81 may in this case be “guilty” of gullibleness, but those posters who have accused him of forgery or criminal behaviour, apparently claiming the user were a paid downramper that wanted to harm the company owe him an apology, if you ask me…

Anyway, it would be best if @Humble Genius could clear up the confusion himself.


Wow.... to stockhound81, yes it was a bit of humour/sarcasm that was mostly understood by the tse crew who know my sense of humor based on the number of haha emojis the post received.

Hope that clears up everything for you......no conspiracies, no boogeyman ..... just love always buddy.

1751615278016.png
 
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MDhere

Top 20
All this talk about T-shirts has got me spiralling back to that moment when Rob Telson declared that Ken the robot needed a companion - a robotic dog named Higgins, of all things.

Did he consult a psychic who secretly foreshadowed the Chelpis quadruped dog-bot project?
Why the name Higgins?
What does it mean?
What is the meaning of life?
Is there only one universe or is this a simulation?
If there's a multiverse, can we collect licensing revenue from alternate dimensions too?

I often find myself waking up at about 4am trying to answer this conundrum.

Should I consult the new IR team about it?
I agree Bravo, I've always been intrigued on Rob's random words within his deliveries. I had thought of Benji character which was Higgins in real life and often thought that Rob would want to bring "Higgins" (Benji) back to life via robot form. To me that makes sense and how better to do it with naming it Higgins. Well that was my thoughts on it at the time.
 
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itsol4605

Regular
Wow.... to stockhound81, yes it was a bit of humour/sarcasm that was mostly understood by the tse crew who know my sense of humor based on the number of haha emojis the post received.

Hope that clears up everything for you......no conspiracies, no boogeyman ..... just love always buddy.

View attachment 88068
StockHound fights like a tiger, repeatedly embarrassing BrainChip.

Unfortunately, he's extremely gullible and perhaps even naive.
 
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HopalongPetrovski

I'm Spartacus!
StockHound fights like a tiger, repeatedly embarrassing BrainChip.

Unfortunately, he's extremely gullible and perhaps even naive.
Nah, just pushing an agenda.
Damning with faint praise.
Twisting and perverting everything to impart a negative spin and happily implying white is black and vice versa, all cloaked in the arguments provided by genuine holder's over the years.
Similar to t&j, dolci and a veritable host of others who dominate the whole stinking cesspit.
 
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itsol4605

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Neuromorphic Computing: The Brain Behind the Wheel!

 
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