BRN Discussion Ongoing

[Fullmoonfever]

Nice win and look fwd to many more.

This is appears a D2P2...direct to Phase II award by the looks which is even better.

When you go to the page, at the bottom it lists awardees who have won similar contracts and Bascom Hunter is one of them...I wonder

The below states 6 mths - 1 year although I just found an April 24 DoD document that states it can be to a max 24 mths as further below.

Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips​

ID: AF242-D015 • Type: SBIR / STTR Topic
DescriptionOverviewContactsDocsQ&ALifecycleAwardsIDVsContractsProtestsIncumbentsBidders 8SimilarAdditional
This opportunity is a topic area under the Small Business Innovation Research / Small Business Technology Transfer (SBIR/STTR). Please see the source for documents.

Description​

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Trusted AI and Autonomy; Advanced Computing and Software; Microelectronics; Emerging Threat Reduction The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: Develop an efficient workflow and approach for mapping complex RF and radar signal processing algorithms onto neuromorphic hardware. The neuromorphic hardware can be a limited research prototype or a commercial product. The signal processing algorithms encompass processing of RF signals to decode communication waveforms, Multiple-Input Multiple-Output (MIMO) adaptive beamforming, Space-Time Adaptive Processing (STAP), Ground Moving Target Indicator radar, and generating Synthetic Aperture Radar (SAR) images from raw in-phase and quadrature data. The goal is to outline a versatile approach that can translate algorithms as specified in the Matlab or Python software environment into a neuromorphic model implemented in physical hardware. DESCRIPTION: The ubiquity of embedded RF devices and the Internet of Things (IoT) has motivated approaches to process data with less latency and power consumption [1]. Neuromorphic integrated circuit (IC) hardware has enabled new ultra-low power embedded RF and radar signal processing applications implemented through deep learning neural network (DLNN) models [2-4]. Neuromorphic hardware provides an advantage of a factor of 100 in power consumption per inference relative to emulation using a traditional Graphics Processing Unit (GPU) [5]. PHASE I: As this is a Direct-to-Phase-II (D2P2) topic, no Phase I awards will be made as a result of this topic. To qualify for this D2P2 topic, the Government expects the applicant(s) to demonstrate feasibility by means of a prior Phase I-type effort that does not constitute work undertaken as part of a prior or ongoing SBIR/STTR funding agreement. The required feasibility demonstration must include successfully developing advanced AI-based radio frequency (RF) algorithms and successfully porting them to a neuromorphic chip, with the final chip performing very well. PHASE II: Using a HWIL approach, awardee(s) will measure the response of the neuromorphic hardware to RF and radar signals in real time. Awardee(s) will validate the performance of the neuromorphic hardware in terms of power consumption and timing latency. Awardee(s) will confirm that the outputs are deterministic and compare favorably to the expected values from the M&S environment. PHASE III DUAL USE APPLICATIONS: The awardee(s) will identify potential commercial and dual use neuromorphic applications for the IoT such as MIMO adaptive beamforming. REFERENCES: C. Xiao, J. Chen, and L. Wang, "Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI," Sensors, vol. 22, no. 19, p. 7248, 2022. A. Baietto, J. Boubin, P. Farr, T. J. Bihl, A. M. Jones, and C. Stewart, "Lean neural networks for autonomous radar waveform design," Sensors, vol. 22, no. 4, p. 1317, 2022. P. Farr, A. M. Jones, T. Bihl, J. Boubin, and A. DeMange, "Waveform design implemented on neuromorphic hardware," in 2020 IEEE International Radar Conference (RADAR), 2020, pp. 934-939: IEEE. M. Barnell, C. Raymond, M. Wilson, D. Isereau, and C. Cicotta, "Target classification in synthetic aperture radar and optical imagery using loihi neuromorphic hardware," in 2020 IEEE High Performance Extreme Computing Conference (HPEC), 2020, pp. 1-6: IEEE. C. D. Schuman, S. R. Kulkarni, M. Parsa, J. P. Mitchell, P. Date, and B. Kay, "Opportunities for neuromorphic computing algorithms and applications," Nature Computational Science, vol. 2, no. 1, pp. 10-19, 2022. (2023). RFView Family of Digital Engineering Tools. Available: https://www.islinc.com/products/rfview; KEYWORDS: AI; Neuromorphic computing; Low C-SWAP; Embedded processing
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Overview​

Agency

Department of the Air Force (USAF) [DoD]
Response Deadline
June 12, 2024 Past Due
Posted
April 17, 2024
Open
May 15, 2024
Set Aside
Small Business (SBA)
NAICS
541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
PSC
AC32 - National Defense R&D Services; Defense-Related Activities; Applied Research
Place of Performance
Not Provided
Source
SBIR
Alt Source
SBIR Agency Source

---

Program
SBIR Phase I / II
Structure
Contract
Phase Detail
Phase I: Establish the technical merit, feasibility, and commercial potential of the proposed R/R&D efforts and determine the quality of performance of the small business awardee organization.
Phase II: Continue the R/R&D efforts initiated in Phase I. Funding is based on the results achieved in Phase I and the scientific and technical merit and commercial potential of the project proposed in Phase II. Typically, only Phase I awardees are eligible for a Phase II award
Duration
6 Months - 1 Year
Size Limit
500 Employees

DoD Doc

 

[DingoBorat]

TENNS has arrived. Better late than never I suppose. Hopefully the first of many to come.
Of course the airforce collaborates with the defense force and navy too. Much potential to be had even in this little niche.

The Airforce, is often considered as the Top Tier of the military.
So you're probably right..


"They ask the army guy. What would you do if you woke up and found a spider in your tent? The army guy replies “I would take off my boot and smash it to death”.

They ask the navy guy the same question. What would you do if you woke up and there was a spider in your tent? He replied. “I would take out my bayonet and stab it to death”.

Finally they get to the airforce guy. What would you do if you woke up and there was a spider in your tent? The airforce guy paused for a second with a confused look on his face and replied “ well first I would call the front desk and ask why there is a fucking tent in my hotel room”

 

[Diogenese]

Th

So this deal is worth just over 4 million Aussie dollars, yeah?

US 1.8 million
+
US 800K


View attachment 74005

My reading is that we, as the contractor to AFRL, pay the sub-contractor $800k.

I don't think the actual amount we get is as important as the recognition which this provides in validating our tech, especially TENNs.

 

[Quatrojos]

Th


My reading is that we, as the contractor to AFRL, pay the sub-contractor $800k.

I don't think the actual amount we get is as important as the recognition which this provides in validating our tech, especially TENNs.

It’d be nice to know who the subcontractor is. Do we know? Haven’t read the Ann yet…

 

[DingoBorat]

Th


My reading is that we, as the contractor to AFRL, pay the sub-contractor $800k.

I don't think the actual amount we get is as important as the recognition which this provides in validating our tech, especially TENNs.

I think you're right Diogenese, because it says the 800k is a "fixed fee" whereas the 1.8m is the paid to BrainChip contract amount.

I think it's worth clarification by the Company though..

 

[Space Cadet]

Beep beep! Get outta my way !




View attachment 73996


View attachment 74001

You've upgraded your boots! Nice!

SC

 

[FiveBucks]

Contract!!! Well done Sean. Now can you lock in about 20 more please!!

 

[Fullmoonfever]

This provides some further details and I do like the potential of Ph III

 

[Calsco]

I wonder how the American market will respond to this announcement

 

[yogi]

Hi Baisyet,

I think that Jason has/had a narrow view of what constitutes neuromorphic, being analog neurons.

It is true that analog neurons more closely resemble biological neurons by adding actual voltages and firing when a threshold voltage value is reached. A leaky-integrate-and-fire (LIF) neuron can be represented by a capacitor in parallel with a resistor. As the capacitor is charged by input current spikes from other neurons, it begins to discharge (leak) through the resistor, so the rate of incoming spikes is important. If the rate is too low, the capacitor voltage will drop faster than it is built up by the spikes and the neuron will not reach the threshold.

Akida is designed to produce a digital imitation of the function of biological neurons. Akida's neurons "count" digital bits and fire when the count reaches a numerical threshold. The digital output of Akida is equivalent to the result of passing the output of an analog neuron through an analog-to-digital converter, which is a necessary step with an analog neuron if its output is to be useful in a CPU/GPU. Akida uses a time window to replicate the leak by only counting the most recent block of N spikes.

Akida is suitable for edge devices because of its speed of response (low latency) and its low power requirements which make it ideal for battery operated devices.

Thank you very much @Diogenese

 

[toasty]

"Neuromorphic hardware provides an advantage of a factor of 100 in power consumption per inference relative to emulation using a traditional Graphics Processing Unit". That statement, made by persons independent of Brainchip and referenced in a USAFR document, must send shivers down the spine of management and product planners at Nvidia, Qualcomm and ARM...........I hope!!

 

[Bravo]

Th


My reading is that we, as the contractor to AFRL, pay the sub-contractor $800k.

I don't think the actual amount we get is as important as the recognition which this provides in validating our tech, especially TENNs.

Thanks. I have deleted my post so as not to confuse anyone over the figures.

 

[Wags]

Thanks. I have deleted my post so as not to confuse anyone over the figures.

Im not so sure..

Small Caps

@SmallCapsASX
·
9m
BrainChip (#ASX: $BRN) secures $2.7m US Air Force contract for radar signal technology https://smallcaps.com.au/brainchip-us-air-force-contract-radar-signal-technology/ @BrainChip_inc

 

[SiDEvans]

Whilst I agree that the amount we receive is less important than the exposure (as someone previously posted), it would be nice if BRN could make a market announcement that didn't need some form of follow up to make it understandable & / or correct ..... or maybe that's too much to ask.
Whatever, its a bloody great milestone.

 

[Bravo]

This provides some further details and I do like the potential of Ph III

View attachment 74007

Hi @Fullmoonfever,

It's interesting what they're saying here is that the power consumption "provides an advantage on factor of 100 in power consumption" relative to using a traditional GPU.

Mercedes report very similar results in their use of neuromorphic computing.

 

[7für7]

Thanks. I have deleted my post so as not to confuse anyone over the figures.

Too late… I was adding just 6 million on top of your 4 to make it round and smooth… thank you for that bravo…… NOW GO AND RUN!!!

 

[Esq.111]

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

Regards,
Esq.

 

[7für7]

Now that I’ve tasted blood… give me another big announcement as dessert! Come on, Braini!

 

[manny100]

This deal is just the start.
Tony V at the AGM said the 1st deal or 2 will give confidence to client engagees.

 

[manny100]

Did I mention that both Sean and Tony V have been accumulating shares madly.
Both now in top 50.
I am tipping Sean for top 25 this time next year.
That gives me confidence.