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Frangipani

Regular

Lakshmi Varshika Mirtinti is currently a PhD student at Drexel University (graduating in 2025) who - as we find out from her comment underneath our CTO’s post - was working with Akida for her PhD thesis and is now keen on applying for a job with our company. Nice!

But there is something else about their little dialogue that caught my eye:

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Why was she expressing her interest in joining BrainChip’s Santa Clara team? Does that signify there is one? 🤔

Tony Lewis responded somewhat cryptically by saying “I am afraid the R&D team is located down south.”
He could have said “We don’t have a team in Santa Clara”, but he didn’t.

Not sure whether I am reading too much into his reply, but given that one of our former Perth Research Institute staff members - Vi Nguyen Thanh Le - has been based in Santa Clara for months now without ever updating her LinkedIn profile with regards to a new employer, could BrainChip either have placed a number of staff there with another company on a contract basis or possibly even have opened a small office in Silicon Valley?

Nothing but a wild idea so far - in case there is more to it regarding the latter, it will surely be featured in the upcoming podcast (even though I personally would expect them to announce such news through their social media channels at the time they eventuate.)

I just find the concrete reference to a BrainChip Santa Clara team odd, and our CTO’s reply struck me as somewhat ambiguous… Time will tell.

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Boab

I wish I could paint like Vincent
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Lakshmi Varshika Mirtinti is currently a PhD student at Drexel University (graduating in 2025) who - as we find out from her comment underneath our CTO’s post - was working with Akida for her PhD thesis and is now keen on applying for a job with our company. Nice!

But there is something else about their little dialogue that caught my eye:

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Why was she expressing her interest in joining BrainChip’s Santa Clara team? Does that signify there is one? 🤔

Tony Lewis responded somewhat cryptically by saying “I am afraid the R&D team is located down south.”
He could have said “We don’t have a team in Santa Clara”, but he didn’t.

Not sure whether I am reading too much into his reply, but given that one of our former Perth Research Institute staff members - Vi Nguyen Thanh Le - has been based in Santa Clara for months now without ever updating her LinkedIn profile with regards to a new employer, could BrainChip either have placed a number of staff there with another company on a contract basis or possibly even have opened a small office in Silicon Valley?

Nothing but a wild idea so far - in case there is more to it regarding the latter, it will surely be featured in the upcoming podcast (even though I personally would expect them to announce such news through their social media channels at the time they eventuate.)

I just find the concrete reference to a BrainChip Santa Clara team odd, and our CTO’s reply struck me as somewhat ambiguous… Time will tell.

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Nice find and Info thanks.

Have we got our very own Skunkworks :LOL:
 
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Guzzi62

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I see your Blackbird and raise you a Darkstar :LOL:


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Last 4 paragraphs pretty much sums it up for mine.



BrainChip Lands $1.8 Million Radar Signaling Contract with Air Force Research Lab​

BRAINCHIP HOLDINGS LTD (BRN) Share Update December 2024 Monday 9th​

December 2024 Monday 9th by Michael

BrainChip Secures $1.8M Contract with Air Force Research Lab
News Image

BrainChip Holdings Ltd, a leader in neuromorphic AI technology, has announced a significant contract win with the Air Force Research Laboratory, marking a pivotal step in radar signaling processing.

Instant Summary:​

  • BrainChip awarded a $1.8 million contract by AFRL.
  • Contract focuses on neuromorphic radar signaling processing.
  • Partnership includes developing algorithms with a subcontractor.
  • Utilizes BrainChip's Akida 2.0 hardware and TENNs framework.
  • Project aims to enhance micro-Doppler signature analysis.

Contract Details​

BrainChip Holdings Ltd has secured a $1.8 million contract with the Air Force Research Laboratory (AFRL) under the Small Business Innovation Research (SBIR) program. This contract aims to advance radar signaling processing using BrainChip's neuromorphic technology.

The project will involve developing and optimizing a comprehensive set of algorithms and neural networks. These will be specifically tailored for BrainChip's Akida 2.0 hardware, leveraging the company's proprietary Temporal Event Neural Network (TENNs) framework.

Technological Advancements​

The focus of the project is on micro-Doppler signature analysis, a radar processing technique that offers advanced activity discrimination capabilities. BrainChip's technology promises enhanced cognitive communication capabilities, particularly for size, weight, power, and cost-constrained platforms such as military and aerospace applications.

The contract will be executed over a 12-month period, with milestone payments starting in January 2025 and concluding in February 2026. BrainChip will collaborate with a subcontractor, providing R&D services for a fixed fee of $800,000.

Strategic Importance​

This contract represents a significant endorsement from the AFRL, highlighting BrainChip's leadership in neuromorphic computing. CEO Sean Hehir emphasized the critical role of low-power, high-performance compute in mission-critical applications, underscoring the strategic value of this partnership.

Impact Analysis

This contract win is a positive development for BrainChip, potentially boosting its stock value as it reinforces the company's position as a leader in neuromorphic AI technology. The collaboration with AFRL could open doors to further government contracts and partnerships, enhancing BrainChip's market presence.

Investor Reaction:​


Analysts are likely to view this contract as a strong validation of BrainChip's technology and business strategy. The partnership with a major government entity like AFRL may increase investor confidence in the company's future growth prospects.

Conclusion:​


Investors should watch for further developments from BrainChip as this project progresses. The successful execution of this contract could lead to additional opportunities in the defense and aerospace sectors, potentially driving long-term growth and value.
 
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cosors

👀
Afternoon Chippers ,

Great to see a ASX contract , Hopefully the start of something VASTLY larger.

She's gaining pace....be thinking the American market should fully light the fuse on this tonight when their market comes on line.

RELEASE THE HANDBREAK

Parrot On Bicycle Photos, Images & Pictures | Shutterstock


Regards,
Esq.
We are currently at just under 2 million shares. However, trading will continue for another 5.5 hours.
The US has just opened, so only 100k yet.
 
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Frangipani

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Looks as if RTX (formerly Raytheon Technologies Corporation) could be the mystery multinational aerospace and defence customer?

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Sosimple

Regular
ISL say that they were the other awardee
 

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Baisyet

Regular
He specifically mentions "CNN models".

CNN models are used in Software NNs and in competing NN accelerator hardware.

CNN models are usually associated with MAC (multiply/accumulate) processing in full digital, 16 bit or 32 bit per byte processors, although the pressure to reduce energy and latency has seen 8 bits adopted as standard recently. While some zero multiplication can be skipped to reduce the number of multipliction operations, basically all the input bytes are processed.

MAC operations are carried out in a matrix array (rows and columns) where all the multiplication results are added column by column.

Akida on the other hand, only processes bytes (1, 2, or 4 bit events or spikes) which change.

In addition, Akida uses N-of-M coding, processing only the largest N of M input bytes as these N bytes carry the most relevant information, meaning that M-N events are dropped from the calculation.

Further more, data in Akida models is 1, 2, or 4 bit bytes and can also use N-of-M coding, greatly reducing the size of each model, so, in fact, you get a double-whammy of compression.

Thus Akida 1 is much more power efficient as it performs far fewer operations in less time to process the same input information as conventional CNNs.

Now TENNs beings additional efficiencies, which I haven't got to the bottom of yet (It took me a long time to get some sort of grasp of N-of-M coding). This makes TENNs more power efficient and further reduces latency.

So I think Tony is saying that CNNs are yesterdays tech, so make way for tomorrow.
Thank you very much for explaining and making us investor who are not so tech savvy but want to be in the league :p
 
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TECH

Regular
ISL say that they were the other awardee

Well done @Sosimple....looks like you hit the nail on the head !

Once this project gets legs, I am convinced other aerospace giants worldwide won't want to be left behind as our technology
proves invisible, no company would want to know that their best has already been outsmarted before any sort of military operation
commenced on land, sea, air or in our case, space !

Just my opinion...regards Tech.
 
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Mt09

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Looks as if RTX (formerly Raytheon Technologies Corporation) could be the mystery multinational aerospace and defence customer?

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Don’t know how IRAD are but Tony definitely works for RTX?

 

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charmander

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Don’t know how IRAD are but Tony definitely works for RTX?

Courtesy of Chat GPT (I just asked what company IRAD would refer to, no prompting as it relates to defense):
IRAD stands for Independent Research and Development. It refers to the funding and activities that a company undertakes, often in the defense or aerospace sectors, to pursue innovative research and development projects without direct customer funding. The goal is to develop new technologies, products, or capabilities that may later be offered to customers, such as governments or private-sector clients.

Key aspects of IRAD include:

1. Self-Initiated: Unlike contract R&D, IRAD projects are chosen and managed internally by the company.

2. Cost Recovery: In industries like defense, companies may be able to recover some of the IRAD costs through overhead rates on contracts with government agencies (e.g., in the U.S., through agreements with the Department of Defense).

3. Innovation Driver: IRAD encourages companies to explore emerging technologies or improve existing systems, which can give them a competitive edge.

4. Strategic Importance: Projects often align with future market opportunities or anticipated needs in areas like national security, space exploration, or advanced manufacturing.

For example, a defense contractor might use IRAD to develop a prototype for a new missile system in anticipation of future military procurement programs.
 
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Finally someone with a working 🔮
Any other suggestions? Your success rate seems reliable.
Yes me, my Mrs and my children are going to be really rich come the end of 2025. Especially after I win the lottery

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ISL say that they were the other awardee
I'm not so sure that is confirmation of anything other than they were the first to use Akida in this space through the SBIR grant a couof years ago when they used Akida. If it was ISL Phase 3 would have finished that, although TENNs wasn't available then
The real kicker from all this is we have the contract and select the sub contractor
Great recognition. Usually it's another company showing their expertise using us. Now we get the grant. Big step in a huge area. Just need to turn that big step into giant strides.

SC
 
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Nice find and Info thanks.

Have we got our very own Skunkworks :LOL:
That was my thoughts, considering there have been a few job ads over the years needing DOD clearance
 
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schuey

Regular
Expecting a 22%+ day......yes?
 
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Off the RTX site on advanced sensors.
  • Our RF systems use higher-power microelectronics, increased processing power and software-defined apertures to achieve next-generation capabilities for radar, electronic warfare, communications and multifunction radio frequency applications.
  • We’re advancing electro-optical/infrared and other systems such as space-based multispectral sensors and electro-optical distributed aperture systems variants.
  • We are providing increased capability against advanced threats and countermeasures by enhancing high-bandwidth digital waveform generation, AI-enabled intelligent signal processing and advanced neuromorphic processing.
  • Our acoustic systems enable advanced mine-hunting and undersea networking capabilities through high sensitivity, directionality, multiple access and multi-mod active and passive capabilities for sonar, communications and navigation.
  • Our missile seekers counter a wide range of advanced threats through advanced processing and algorithms, all while achieving low size, weight, power and cost.
https://www.rtx.com/who-we-are/we-are-rtx/transformative-technologies

SC
 
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