BRN Discussion Ongoing

[Pom down under]

With the SP not doing the normal pump before the quarterly

 

[Pom down under]

Is BRN the only AI company that is missing the AI bubble?

Missing or missed it

 

[HopalongPetrovski]

Shorter's taking a punt on another crap 4C hoping to drive down the price for a quick trade.
Que Sera sera.

 

[Diogenese]

Shorter's taking a punt on another crap 4C hoping to drive down the price for a quick trade.
Que Sera sera.

Shouldn't they do a pump first?

 

[Bravo]

---

Shouldn't they do a pump first?

It used to get pumped, then ceremoniously thumped
Now it’s getting dumped… and royally humped

 

[CHIPS]

Here are five high-revenue, Fortune 500-aligned examples where the Akida neuromorphic chip can provide or secure an innovative competitive advantage through integration into core product offerings or internal infrastructure. Each case includes the company's strategic needs, how Akida helps, and the competitive edge it introduces:

1. Apple Inc. – Next-Gen Smart Hearing & Spatial Audio Devices​

Use Case: On-device adaptive hearing personalization in AirPods or future wearable audio devices
Akida’s Role: Ultra-low power neural processing for real-time noise filtering, hearing profile adaptation, and spatial sound tracking using spiking audio data
Strategic Need: Apple seeks tighter integration of personalized, health-linked audio and real-time spatial computing (e.g. Vision Pro ecosystem)
Competitive Edge:

• Differentiates AirPods with on-device auditory intelligence
• Enhances privacy (no audio sent to cloud)
• Adds value to Apple's broader Health & Accessibility offerings
  Revenue Potential: >$20B segment (Wearables/Home/Accessories)

2. Amazon – Intelligent Edge for Echo & Warehouse Robotics​

Use Case: Decentralized AI for Echo devices and Kiva robotics, enabling faster and more private local decisions
Akida’s Role: Integrate into Echo speakers and warehouse robots to reduce cloud inference latency and power draw
Strategic Need: Amazon wants to improve energy efficiency and reduce server-side compute costs for Alexa and fulfillment operations
Competitive Edge:

• Faster local response = better UX
• Lower cost of compute per user interaction
• Scalable privacy-respecting smart home ecosystem
  Revenue Potential:
• 
  
• ~$200B+ logistics operations savings at scale

3. Tesla – Ultra-Efficient Perception for Autonomous Driving Edge Cases​

Use Case: Low-power, always-on perception for vision-based driver monitoring systems (DMS) or secondary sensors
Akida’s Role: Run SNN models on driver behavior, in-cabin motion, and fatigue without taxing the main FSD chip
Strategic Need: Tesla’s Dojo and FSD stack are high-powered; offloading low-level, safety-critical perception to an Akida co-processor improves energy and redundancy
Competitive Edge:

• Compliance with EU/US driver monitoring regs
• Reduced thermal/power burden in vehicles
• Can use temporal learning to personalize driver responses
  Revenue Potential: FSD & Hardware upgrades = $12B+ annually

4. Johnson & Johnson – Neuromorphic Edge in Smart Medical Devices​

Use Case: Smart surgical instruments, diagnostics, or wearables for post-op monitoring that adapt to patient-specific signals
Akida’s Role: Embedded SNN chip for ultra-low power real-time bio-signal classification (e.g., tremor, ECG, EMG)
Strategic Need: J&J is investing in digital surgery (e.g., OTTAVA) and patient-connected devices
Competitive Edge:

• Enables battery-efficient, real-time closed-loop systems
• Devices learn from patient baselines and adjust responses (e.g., haptic feedback)
• Minimizes cloud dependency = faster FDA path
  Revenue Potential: Surgical & Interventional segment >$25B

5. Walmart – Edge AI for Loss Prevention and Shelf Management​

Use Case: Store-edge Akida-enabled cameras for shoplifting detection, shelf stock prediction, and employee activity classification
Akida’s Role: Low-cost edge deployment of computer vision at scale; Akida’s SNN excels at temporal events (e.g., repeated suspicious behavior)
Strategic Need: Walmart needs low-cost, privacy-compliant smart retail systems across thousands of stores
Competitive Edge:

• Real-time shrinkage detection without adding cloud expense
• Improve restocking response with adaptive shelf analysis
• Supports high-scale IoT rollout at marginal cost
  Revenue Potential: Loss prevention impact >$3B annually; Inventory efficiency could save >$5B

Summary Table​

Company	Use Case	Akida Function	Revenue Domain	Competitive Advantage
Apple	Personalized hearing + spatial audio	Adaptive SNNs for audio	$20B+ wearables	Health+privacy differentiation
Amazon	Smart devices + robots	Edge inference, energy saving	$200B infra	Latency + cost reduction
Tesla	Driver monitoring + sensor fusion	In-cabin perception, low power	$12B+ FSD	Redundancy + compliance
J&J	Smart medical systems	Bio-signal adaptation	$25B medtech	FDA-aligned, personalized AI
Walmart	Theft & stock control	On-device CV at scale	$8B+ operations	Retail AI at low TCO

Where does this come from??? AI or some article? Then post the link or mark it as AI-generated.

 

[HopalongPetrovski]

Shouldn't they do a pump first?

Didn't you get the memo?
This qtr they are just making do with that bot at .1975.

 

[MDhere]

Didn't you get the memo?
This qtr they are just making do with that bot at .1975.

well i have a spare measly grand in the bank to splash on something,what shall it be??

 

[TheDrooben]

well i have a spare measly grand in the bank to splash on something,what shall it be??

I'm with you MD......

HAPPY AS LARRY

 

[Derby1990]

Bought into BRN 5 years ago, thinking it might fast track my retirement.
Luckily, I didn't need it, since I did everything (else) right, and I'm retiring in December anyway.
Maybe my nibblings (my sole beneficiaries) will get something out of it in 30 years time

 

[Baron Von Ricta]

Maybe if we start wishing for BRN to fail the Irony of the Universe will kick in and it will skyrocket!

That will only happen if you sell all your shares.
I reckon most of us here will either be rich or poor
I'm with TechMan, wait until June 2026.
Then I'll reassess and wait for Sept 2027. Then I'll..............
**This post has not been AI generated.

 

[CHIPS]

That will only happen if you sell all your shares.
I reckon most of us here will either be rich or poor
I'm with TechMan, wait until June 2026.
Then I'll reassess and wait for Sept 2027. Then I'll..............
**This post has not been AI generated.

Maybe we all should sell a few shares? If it helps, I am ready to give it a try.

 

[Mt09]

That will only happen if you sell all your shares.
I reckon most of us here will either be rich or poor
I'm with TechMan, wait until June 2026.
Then I'll reassess and wait for Sept 2027. Then I'll..............
**This post has not been AI generated.

I’ll reassess June 2053.. I’m running out of optimism to be honest.

 

[DK6161]

Hello all. Have not been here in a while. How's everyone going? Any news of revenue yet? The wife wants to know before we sign the divorce papers. Thanks in advance

 

[Earlyrelease]

Not expecting anything unfortunately. But still happy with the small bits of hope that some fantastic researchers keep finding and posting. Whilst frustrating as …. I can say in my mind the sentiment for product adoption has definitely improved and we just need some of the use cases and product development cycles to align. Like Derby 1990 I bought these to end work early (early release) but that hasn’t happened but too many friends and work colleagues have passed and so my retirement won’t be as flamboyant as first thought but will pretend I am 19 yrs old and moved out of home and live on noodles until I can touch my super in 2 yrs time.

 

[Baron Von Ricta]

Just hang in there. I learnt my lesson years ago with CUV. Share price hung around the $2 mark for ages so I sold out and bought something else. Few years later it went to $40.
So now if I like my research I hang on and wait...wait... =(sometimes)
Remember, you can't build a skyscraper if you haven't got a strong foundation. 'Pantene'.

 

[Bravo]

Hello all. Have not been here in a while. How's everyone going? Any news of revenue yet? The wife wants to know before we sign the divorce papers. Thanks in advance

Maybe we should turn the BRN thread into a dating site since so many of us are getting ex-communicated by our significant others.

I‘ll start the ball rolling.

I‘m a fun-loving lass with a quirky sense of humour and an even quirkier sense of fashion. I like to practice taekwondo in my spare time and to watch documentaries about true crime and evil psychopaths on Netflix, as well as eating tubs of Connoisseur ice-cream. I’m currently learning how to play the maracas and the bugle . I have 10 cats and a blue-tongued lizard called Gertrude.

I don’t like chewing sounds, so if you’re one of those people who can eat with your mouth closed, then please feel free to call me.

 

[DingoBorat]

Maybe we should turn the BRN thread into a dating site since so many of us are getting ex-communicated by our significant others.

I‘ll start the ball rolling.

I‘m a fun-loving lass with a quirky sense of humour and an even quirkier sense of fashion. I like to practice taekwondo in my spare time and to watch documentaries about true crime and evil psychopaths on Netflix, as well as eating tubs of Connoisseur ice-cream. I’m currently learning how to play the maracas and the bugle . I have 10 cats and a blue-tongued lizard called Gertrude.

I don’t like chewing sounds, so if you’re one of those people who can eat with your mouth closed, then please feel free to call me.

Crazy cat lady.. Great ...

 

[Fullmoonfever]

Crazy cat lady.. Great ...

 

[Fullmoonfever]

Awareness of the Arquimea partnership.

https://www.forwardpathway.us/brain-inspired-ai-predictive-coding-networks-revolutionize-drone-energy-efficiency#

Neuromorphic Computing: Mimicking the Brain for Enhanced Drone Capabilities​

Okay folks, your friendly editor here, ready to dive deeper into this fascinating world of brain-inspired AI. We’ve touched on how traditional AI can be a bit power-hungry for drones, and now we’re going to explore the exciting field of neuromorphic computing, which is all about making AI work more like our own incredible brains.

Think about it: our brains are incredibly efficient. They can process vast amounts of information without needing a massive power source. Neuromorphic computing aims to replicate that structure and function. Instead of just using standard computer chips, researchers are building hardware that mimics the way biological neurons work – they’re like tiny, interconnected processing units that activate only when there’s something important to do. This “activate-only-when-necessary” approach is a huge deal for energy efficiency. Imagine a drone that doesn’t have to constantly power up every single processing unit; it can just focus its energy where and when it’s needed, just like you might focus your attention on a specific conversation in a noisy room. This could mean dramatically increased flying times and a whole host of enhanced operational capabilities, allowing drones to do more complex tasks for longer periods.

The U.S. Air Force is really leaning into this, recognizing the potential. They’re investing in developing these super tiny, almost rice-sized AI chips that are designed to mimic biological neurons. The idea is to create AI that’s not only powerful but also incredibly compact and energy-sipping. One of the materials being explored for this is conducting polymer thin films. These can act like the artificial neurons we were just talking about, firing only when they receive the right kind of input.

This isn’t just theoretical, either. Companies and research institutions are already pushing the boundaries. Intel, for instance, has unveiled its Hala Point neuromorphic computer, which boasts over 1,000 AI chips and offers a significant performance leap over traditional computing. On the government side, the Joint Artificial Intelligence Center is also actively involved in developing both AI software and neuromorphic hardware. Their focus is on systems that can really help with sharing sensor information among networked units, giving drones and other autonomous systems a much better handle on what’s going on around them – improving that all-important situational awareness.

We’re already starting to see some really cool real-world applications popping up. Take water rescues, for example. Companies like BrainChip are integrating their Akida processor, which is designed with neuromorphic principles, onto low-power drones. When paired with event-based cameras from companies like Prophesee, these drones can quickly detect people in distress in aquatic environments. The Akida processor can process visual data directly, cutting down on latency and power usage. This means lifeguards can get alerts faster and potentially save more lives. It’s a fantastic illustration of how these brain-inspired AI systems, when implemented on the edge – meaning right there on the drone itself – can deliver incredibly fast and efficient performance, even in critical, life-or-death situations. It really makes you think about how much further drones can go with this kind of advanced, yet energy-conscious, AI.

ABOUT FORWARD PATHWAY​

Forward Pathway LLC is an educational consultant company established in US and dedicated to international students’ application and transfer to US high schools and colleges. Founded in Pennsylvania, the state rich in educational resources, Forward Pathway takes advantage of nearby renowned universities as University of Pennsylvania, Carnegie Mellon University, University of Pittsburgh, Pennsylvania State University and plenty of top US colleges in neighboring states. Now its headquarter has moved to Los Angeles. Based in LA to serve the entire nation, relying on strong partnerships with local US universities, Forward Pathway is aimed at being students’ personal education specialist, at the first time to update the latest news of studying abroad.