BRN Discussion Ongoing

7für7

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PhuReports are surfacing all over the interwebs that Nintendo Switch 2 has some serious issues relating to overheating.

How good would it be if BrainChip comes to the rescue!!!!!!! 🤞🙏





View attachment 88049


And at the same time, happy…. No Akida inside!

Seth Meyers Omg GIF by Late Night with Seth Meyers
 
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MDhere

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db1969oz

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Thank you shorters

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White Horse

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Website: iforcehackers.wixsite.com View attachment 88043
Fuck Off.!!
 
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Bravo

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

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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

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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.
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

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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.
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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