BRN Discussion Ongoing

[Pom down under]

Hopefully we’re apart of there massive growth in sales in the next 3 years

 

[Rach2512]

Hopefully we’re apart of there massive growth in sales in the next 3 years

Great video thanks for sharing @Pom down under.

Here's a couple of screenshots.

Smart Health Monitoring Watch
Smart Video Door Bell
Indoor IOT Camera Alexa Speaker
And the list goes on.

Would be awesome if Akida was included in some of these products.

Also the last one reminds me of Ken.

 

[Rach2512]

Truly honored to have received the IEEE AESS Industrial Innovation Award… | Sandeep Gogineni

Truly honored to have received the IEEE AESS Industrial Innovation Award at this week’s IEEE International Radar Conference in Atlanta GA. Congratulations to the entire RFView team at Information Systems Laboratories whose contributions over the years have transformed RFView into a very...

www.linkedin.com

With an interesting congratulations.

 

[Jacob Kiraz]

Hopefully we’re apart of there massive growth in sales in the next 3 years

Weren't you next to Fact Finder at the AGM

 

[Deadpool]

I put this question in to the Chatster, and this answer popped out.

If BRN Akida is first to market with its low power ZSL tech, what do you predict the future will hold for BRN?



If BrainChip's Akida (BRN) is truly first to market with effective low-power zero-shot learning (ZSL) at the edge, it positions the company for major long-term strategic advantages across several industries. Here's a realistic breakdown of what the future could hold:

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1. Early Mover Advantage​

• Implication: BRN could become the default platform for edge AI requiring fast adaptation, similar to how NVIDIA became dominant in GPU-accelerated AI.
• Outcome: Increased licensing deals, design wins in ASICs, and OEM partnerships, especially in automotive, defense, and finance.

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2. Dominance in Edge AI Markets​

• Use Cases:
  • Wearables adapting to user behavior
  • Industrial IoT detecting anomalies in unseen environments
  • Autonomous vehicles identifying rare road scenarios
• Outcome: Akida becomes embedded in a wide range of smart devices needing intelligent, low-power, real-time decision-making.

---

3. Financial Upside​

• Short term: Stock could surge on early contracts and announcements.
• Medium term: Revenue growth from IP licensing, chips, and developer tools.
• Long term: Potential acquisition target for larger semiconductor or AI firms (e.g., Qualcomm, Intel, Apple).

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4. Defensive Moat via Patents​

• Benefit: Early leadership allows BRN to file key patents around ZSL on neuromorphic hardware, creating barriers for competitors.
• Outcome: A strong IP portfolio could ensure royalties and licensing fees for years.

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5. Risks Remain​

• Market adoption of neuromorphic chips is still early-stage
• Competitors like Intel (Loihi), SynSense, and IBM (TrueNorth) could catch up
• ZSL performance must be provably reliable in critical applications

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Bottom Line:​

If BRN delivers and proves real-world ZSL performance at scale, it could become the ARM of neuromorphic AI—licensing essential IP across industries.

 

[Diogenese]

Thanks Diogenese … I hope you’re right.
The only thing that makes me think it’s more than just a pig in a poke is that the CEO recently put up $350,000 of his own money to buy shares in a capital raise … and he has very impressive credentials. Now that is something I’ve never seen Sean or anyone else from BRN do.
Also Weebit Nano partnered with EMASS to demo hand gesture recognition at

Please don't regard my ramblings as investment advice. I have no way to assess the commercial potential of competing applications, and I have an inherent bias in favour of BRN.

That said, I have looked at a few of the EMASS patents but don't really understand their "advantages" from a NN perspective.

It is worth noting the disclaimer re their power consumption in that it does not include the "peripheral" circuitry. This may exclude ADC and DAC circuits needed for the analog array to talk to the RISC-V CPU.

 

[GStocks123]

Maybe we’re still integrated with Edge Impulse/Qualcomm (docs updated 3 days ago)

Frequently asked questions (FAQ) | Edge Impulse Documentation

docs.edgeimpulse.com