MDhere
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How many shares in your portfolio?
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
db1969oz
Regular
You can have mine. Hardly used. I only wore it if the share price was over $1. So, it's like brand new.
Pom down under
Top 20
Yes I start Monday
Pom down under
Top 20
Thank you shorters
Baron Von Ricta
Regular
Yes, money to be made if they produced a "BRAINCHIP DISGRUNTLED SHAREHOLDER" one
White Horse
Regular
Fuck Off.!!
smoothsailing18
Regular
That's top secretHow many shares in your portfolio?
HopalongPetrovski
I'm Spartacus!
What if she signs a NDA?
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?
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?
They may have asked the same question , but the responses are totally different . Has Kurt’s model been fine tuned specifically for retail purposes ?
Bravo
If ARM was an arm, BRN would be its biceps💪!
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.
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
Bravo
If ARM was an arm, BRN would be its biceps💪!
Sadly, at this point in time they're in the running for an ovation in reverse.
Like a seated protest with sound effects.
Last edited:
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.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.
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
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
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.
"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.
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
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
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!"
Last edited:
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.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.
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
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
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 for cybersecurity AKIDA would detect a threat in real time and isolate it.
Kingkong2015
Regular
Fullmoonfever
Top 20
Probs posted (apols if has) but haven't checked. Steve Brightfield having a short chat with Electronic Design uploaded 3 days ago.
FJ-215
Regular
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