BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
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Ummm..I don't know if you're aware but the only kind of "recovery" going on here is from emotional trauma and a 90% share price drop.

We are all way too broke-ass to be buying any Bitcoin, much less something to eat for dinner tonight.

Can you lend me a fiver?
 
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Diogenese

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Is there a time line to market for these cybersecurity BRN devices ?.
QV are showing an Akida 1 PCIe board.

I don't know if there will be a new production run of Akida 1 or when there will be a production run of Akida 2. Without production runs, there is limited scope for manufacture of devices containing Akida.
 
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QV are showing an Akida 1 PCIe board.

I don't know if there will be a new production run of Akida 1 or when there will be a production run of Akida 2. Without production runs, there is limited scope for manufacture of devices containing Akida.
For the layman please, Is it possible they may use our IP only and don’t require boards at all for the wifi routers we are discussing , or do they need to place an order with BRN for one of the options of Akida boards ?. Ether way how will the shareholders be informed, financials only ?.
 
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Nice to see even non partner tertiary educators recognising the value of including Akida in their topics as an intro for students and professionals.

Maybe BRN should approach them to also offer hardware / simulator / algo assistance?

Snipped our topic within the SNN workshop.




UCSC Silicon Valley Extension
Abstract illustration of network.

AI Technology Workshop Series: Spiking Neural Networks | AISV.817_W14​

Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications.
Learning Outcomes
At the conclusion of the workshop, you should be able to
  • Describe and discuss the fundamental principles of Spiking Neural Networks (SNNs), including spike-based data representation, key neuron models (e.g., Leaky Integrate-and-Fire), synaptic operations, the current state-of-the-art in neuromorphic hardware, and the realistic short-term and long-term potential of SNNs in the broader AI landscape.
  • Explain the differences between Spiking Neural Networks (SNNs) and traditional Artificial Neural Networks (ANNs), articulating the motivational factors for SNN adoption such as energy efficiency and event-driven computation.
  • Demonstrate an ability to properly and effectively implement simple SNN applications (e.g., the XOR problem and a more complex use case) using tools like Nengo, understanding how information is encoded and processed through spike trains, and applying different training approaches for SNNs while contrasting them with traditional backpropagation and evaluating the challenges and opportunities in SNN learning.

Topics Include

  • The Neuromorphic Landscape: Introduction to key neuromorphic hardware (e.g., Intel Loihi, BrainChip Akida), their architectures, and real-world case studies.


UCSC Silicon Valley Professional Education, the leading workforce educator in Silicon Valley, is the only accredited institution in the area to offer University of California-quality courses designed by experienced instructors who are actually working in their field.​


Our Students

  • New college graduates needing practical skills
  • Professionals looking to update skills
  • Specialists changing direction
  • People seeking accreditation, permits, continuing education units, exam preparation, curriculum for licensure
  • International students seeking a Silicon Valley experience
  • Lifelong learners interested in studying with industry experts in the heart of Silicon Valley
 
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Diogenese

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For the layman please, Is it possible they may use our IP only and don’t require boards at all for the wifi routers we are discussing , or do they need to place an order with BRN for one of the options of Akida boards ?. Ether way how will the shareholders be informed, financials only ?.
Our main business plan is to licence the IP. BRN does not plan to be a chip supplier, so anyone planning to use Akida would need to either licence the IP themselvbes or to obtain chips from a licencee. At the moment, we are drawing down our stock of already manufactured chips. Someone suggested that there were about 75,000 chips.

Licencees may either make the Akida chips as individual ICs, or they may integrate the Akida IP with other hardware including CPUs, GPUs, or sensors.

The Akida IP does need a 3rd party CPU/GPU/MCU for configuration (number of layers/NPUs per layer/layer interconnexions/weights/...).

Akida 3 will have additional flexibility because of its programmable architecture.
 
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Slade

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As a BrainChip investor, I really don’t think I should have to pay extra just to get more information 😂 thanks.….

WHERE IS MY MONEEEY!!??!! 😂😂😂
Yes, show us the money 😂
I’m running out of VB
 
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Schwale

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I think we have a very good chance of eating the pie once we move from the ASX as Sean states he wants to be the leader in neuromorphic , as Nivida is with the following % of their market.
Sean should put some runs on the ASX board first before moving to the US market then he can chase any dream or goal and "be the leader in neuromorphic"
 
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manny100

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$2.7USD if we stay on ASX.
$40USD if we successfully redomicile to the “sky is the limit” US.
😉
Another way of looking at it:
NVIDIA has around 24.4 billion shares on issue and a market cap of $US3.52 trillion. Current share price of $US143.85
BRN has around 2.03 billion shares on issue and market cap of $A415.277 mill.
Obviously no comparison.
But if NVIDIA only had 2.03 billion shares on issue (as per BRN) it would trade at $1729. At say 64 cents exchange rate = circa $A2,701 per share.
The moral to this story is if the market grows exponentially and we remain the leader don't sweat to much over dilution.
Even if we double or more our SOI and we see huge future growth we should do ok even as a tiddler compared to NVIDIA.
 
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manny100

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"The AFRL contract award, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips”. The Small Business Innovation Research (SBIR) contract is a development effort expansion after a successful demonstration of radar processing algorithms running on BrainChip’s Akida™ commercial off-the-shelf (COTS) neuromorphic hardware"
Link: BrainChip Awarded Air Force Research Laboratory Radar Development Contract - BrainChip
Topic | SBIR
The above link provides details from SBIR regarding the contract.
Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips
The above link contains more detail. It describes the secrecy involved, Its skipped phase 1 and straight to phase 2.
From this article its easy to see that this is the start (along with Bascom Hunter and the Navy) of the Defence transition to Neuromorphic Edge AI.
Well worth a read - actually a compulsory read.
 
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It is a specialist product so it needs such a hub otherwise developers would walk away.
I wonder how long this has been under development prior to the recent release. 🤔
I hope it was one of Sean’s first task when he took the CEO position. Ether way great to see and looking forward to the future overall.
Seems like a knee-jerk reaction to Qualcomm's acquisition and subsequent strangling of Edge Impulse's AKIDA development environment?..
 
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