BRN Discussion Ongoing

IloveLamp

Top 20
It seems from
Solicitation: SBIR_21_P1

Topic Number: H6.22

that the Boeing High performance Spaceflight Computer (HSPC), due for delivery in December 2022, was conceived before NASA tumbled to the benefits of neuromorphics:

https://legacy.www.sbir.gov/node/1836297

The current state of the art (SOA) for in-space processing is the High Performance Spaceflight Computing (HPSC) processor being developed by Boeing for NASA Goddard Space Flight Center (GSFC). The HPSC, called the Chiplet, contains 8 general purpose processing cores in a dual quad-core configuration. Delivery is expected by December 2022. In a submission to the Space Technology Mission Directorate (STMD) Game Changing Development (GCD) program, the highest computational capability required by a typical space mission is 35 to 70 GFLOPS (billion fast logical operations per second).

The current SOA does not address the capabilities required for artificial intelligence and machine learning applications in the space environment. These applications require significant amounts of multiply and accumulate operations, in addition to a substantial amount of memory to store data and retain intermediate states in a neural network computation. Terrestrially, these operations require general-purpose graphics processing units (GP-GPUs), which are capable of teraflops (TFLOPS) each—approximately 3 orders of magnitude above the anticipated capabilities of the HPSC.

Neuromorphic processing offers the potential to bridge this gap through a novel hardware approach. Existing research in the area shows neuromorphic processors to be up to 1,000 times more energy efficient than GP-GPUs in artificial intelligence applications. Obviously, the true performance depends on the application, but nevertheless the architecture has demonstrated characteristics that make it well-adapted to the space environment
.

Phase 1 of the project had extraordinarily short deadlines over a holiday period:

Release Date: November 09, 2020

Open Date: November 09, 2020

Application Due Date: January 08, 2021


Close Date: January 08, 2021

... not that we could draw any inferences from that. After all, doesn't everybody have "concept of operations of the research topic, simulations, and preliminary results. Early development and delivery of prototype hardware/software is encouraged" for a SWaP compliant neuromorphic processor in their back pocket, eady to be produced at a moment's notice?

Phase II will emphasize hardware and/or software development with delivery of specific hardware and/or software products for NASA, targeting demonstration operations on a low-SWaP platform. Phase II deliverables include a working prototype of the proposed product and/or software, along with documentation and tools necessary for NASA to use the product and/or modify and use the software. In order to enable mission deployment, proposed prototypes should include a path, preferably demonstrated, for fault and mission tolerances. Phase II deliverables should include hardware/software necessary to show how the advances made in the development can be applied to a CubeSat, SmallSat, and rover flight demonstration..

I don't know if Phase 2 of any NASA SBIR has ever gone under the radar, but, in retrospect, ANT61 does spring to mind as a cubesat implementation, and one which offered little prospect of near-term commercial viability while absorbing valuable BRN engineering time. Not that that's a dot, but it is a coincidence that the Akida engineering samples and the feature enhanced 4-bit Akida 1000 and a Cubesat implementation did occur during a fairly compressed time period.

Contra-indication is NASA's referenes to the inherent rad-hardness of memristors, which point to a leaning to an analog implementation.

Still, we know that NASA has been playing with Akida for some time. The short submission period suggests that there had been significant pre-match discussions between NASA and their prospective SBIR applicants. One factor to take into consideration is that the "S" in SBIR would exclude the big boys.

So now we come to the recent and not so recent announcements linking Akida to NASA or space applications. Some which spring to mind:

The MOU with EdgX with links to ESA.

There's Frontgrade which links to ESA.

There's Intellisense Neuromorphic Enhanced Cognitive Radio (NERC) which links to a NASA Phase 2 SBIR.

We dabbled in rad-hard processes with Vorago in 2020 for a Phase 1 NASA project.

RTX/Raytheon as the putative sub-contractor for the recent Phase 2 NASA project.

We know some of the big boys, such as IBM, have been dabbling with analog NNs/memristors for some years, so it is an open question as to whether this is at the behest of NASA, but it is very clear that a great deal of the SBIR requirements fit Akida like a glove.
ANT61 Signs First Japanese Commercial Agreement with SOMPO


1000021165.jpg
 
  • Like
  • Love
  • Fire
Reactions: 36 users
ANT61 Signs First Japanese Commercial Agreement with SOMPO


View attachment 75957
I don't think AKIDA is in Beacon but?..
 
  • Like
  • Thinking
Reactions: 3 users

Terroni2105

Founding Member
  • Like
Reactions: 6 users

Mt09

Regular
Yes it is
Akida is in the Ant61 Brain, not the beacon as far as we know.

 
  • Like
Reactions: 6 users

IloveLamp

Top 20
  • Like
  • Fire
  • Love
Reactions: 50 users

IloveLamp

Top 20
  • Like
  • Fire
  • Love
Reactions: 13 users

IloveLamp

Top 20

1000021177.jpg
1000021175.jpg
 
  • Like
  • Fire
  • Love
Reactions: 36 users

Terroni2105

Founding Member
Akida is in the Ant61 Brain, not the beacon as far as we know.

I have written down that Ant61 confirmed it is in Beacon but I haven’t kept a link (from memory it was on a LinkedIn comment they responded to), perhaps someone else here has it (however I do know I wouldn't have written it down for myself if I didn't see it with my own eyes)
 
  • Like
Reactions: 9 users

IMG_3569.jpeg
 
  • Like
  • Fire
  • Love
Reactions: 15 users

Frangipani

Regular
Interesting like of a BrainChip post on LinkedIn by a Fraunhofer ITWM (Institut für Techno*- und Wirtschaftsmathematik / Institute for Industrial Mathematics) research scientist, given this Fraunhofer Institute’s High Performance Computing division is co-coordinating a project called STANCE (Strategic Alliance For Neuromorphic Computing and Engineering) alongside Fraunhofer IIS (Institut für Integrierte Schaltungen / Institute for Integrated Circuits), which aims to push for the adoption of spiking and neuromorphic technologies in industrial production by bringing together users and solution providers. The STANCE project got underway five months ago.

*Ich musste echt zweimal hinschauen, aber die forschen wohl doch nicht über Raves… 🤣
@cosors, ohne Bindestrich wäre das ansonsten doch echt der perfekte Arbeitsplatz für dich gewesen, oder?! 😉


View attachment 69152


View attachment 69147

View attachment 69148

View attachment 69149

In September, I posted about a Fraunhofer Society-backed project in Germany called STANCE (Strategic Alliance For Neuromorphic Computing and Engineering), which kicked off in April and is co-coordinated by two Fraunhofer Institutes: Fraunhofer ITWM (Institut für Techno-und Wirtschaftsmathematik / Institute for Industrial Mathematics) and Fraunhofer IIS (Institut für Integrierte Schaltungen / Institute for Integrated Circuits).

Eleven other Fraunhofer Institutes are also part of the project (although surprisingly not the Berlin-based Fraunhofer HHI, whose researchers from the Wireless Communications and Networks Department utilised Akida for their PoC implementation of neuromorphic wireless cognition) that aims to build a Neuromorphic Knowledge Hub in Europe and also seeks “to establish a long term industrial and academic alliance to push for the adoption of spiking and neuromorphic technologies by the broader industry.”



B56DF85E-9BFE-4B10-A6C4-6489E31DC03F.jpeg



Earlier this month, the two co-coordinating Fraunhofer Institutes published a whitepaper that I found a worthwhile read:



FAEC6F9B-2CFD-4DC0-A09E-A3ECEDEDD237.jpeg

2B7BE59F-357A-45CE-9496-9BF9EF2596F1.jpeg

999B8083-2EE2-4DF3-B5B3-DAD0DC0BE2EA.jpeg

08149CEE-DB36-425F-ABD1-DACAE33A912C.jpeg

869715EF-AB62-4F83-A589-69EBD9A7FE12.jpeg

2135C70B-8664-4805-8A9F-D9FA885E03B4.jpeg

8C2611A4-56FD-420C-83D9-14725059E024.jpeg
 
  • Like
  • Love
  • Fire
Reactions: 25 users
  • Like
  • Love
  • Sad
Reactions: 51 users

ndefries

Regular
I have written down that Ant61 confirmed it is in Beacon but I haven’t kept a link (from memory it was on a LinkedIn comment they responded to), perhaps someone else here has it (however I do know I wouldn't have written it down for myself if I didn't see it with my own eyes)
Given they are a partner, they speak so fondly of Akida. Have relied on it, know how to apply it and how critical efficient AI processing in space is I can't reasonably think Brainchip will not benefit from this deal. My significant lack of surprise when impending licence deal arrives once they have scoped out the delivery of this major contract
 
  • Like
  • Fire
Reactions: 10 users

Boab

I wish I could paint like Vincent
  • Like
  • Fire
  • Love
Reactions: 12 users

manny100

Regular
  • Like
  • Thinking
Reactions: 3 users

Tothemoon24

Top 20

Reflecting on a Year of Breakthroughs​

552cc60f-7cf4-b9e1-19d7-7ee4bb51ed37.png
2025: Looking forward to a year of innovation and success at BrainChip.
As we begin 2025, we cannot help but reflect on 2024 as a year focusing on breakthrough algorithms across key use cases that led to business success. The opportunity for BrainChip in 2025 following the successes in 2024 are well summarized in an article released by Tech Investor called “BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic Computing Amid Global AI Boom
It has been a journey of achievements, partnerships, and milestones for BrainChip as we continue to redefine the limits of AI technology. BrainChip pioneered the application of our proprietary state-spaced neural network models called TENNs (Temporal Enabled Neural Networks) to achieve state-of-the-art performance for key use cases while reducing computational and memory requirements. Where most companies focused on the implementation of ever more optimized legacy neural network architectures to apply them to the edge, BrainChip defined a whole new class of neural network models that transforms the ability of edge AI devices to operate in ever smaller form factors, power, and cost.
2a7c86d1-b329-dbe2-5725-3a23a9ee5e20.png
Innovation: Akida Pico and More

Our Akida Pico product launch was a key product launch of the year. As an ultra-low power AI acceleration co-processor, Akida Pico enables energy-efficient, use case-specific AI for applications like voice wake detection, wearables, and IoT devices.
Edge LLMs – Leading an industry transition to state-spaced models for efficiently computing Large Language Models, propelling this technology to the edge with efficient compute and significantly reduced memory bandwidth.

aTENNuate – A groundbreaking, TENNS based algorithm for raw audio denoising, and enhancement optimized for the edge.

Eye Tracking– State-of the Art (SOTA) results using industry standard benchmarks for eye tracking while reducing compute and memory requirements.
1969989b-bb52-9db1-62b5-127c84eb1809.png
Looking Ahead to 2025
“The advancements we achieved in 2024 are the foundation for even greater innovation in 2025,” said BrainChip CEO Sean Hehir. “We are on the cusp of amazing opportunities to expand Brainchip’s market footprint and advance the Akida technologies in the semiconductor industry. This addresses the upcoming demand for neural processing semiconductor intellectual property and introduces State Space model based TENNs algorithms to the edge.”
CES 2025 is an exciting year for Brainchip and the adoption of Edge
We continue to see strong interest on our latest offerings and demonstrations from many key tier 1 consumer, cloud services and automotive companies in our private Suite at CES. We will be providing updated podcasts with key partners, industry analysts and customers on the state of edge AI and how we see the market moving forward in 2025. Key Akida demonstrations provided to our visitors include:
LLMs + RAG Demo
See how we are advancing large language models (LLMs) with Retrieval-Augmented Generation (RAG) for smarter, real-time AI applications. This demonstration shows how edge based LLM models can execute on the edge without cloud connectivity to provide security, low latency, and low cost of ownership without a cloud service.
Building ML Models with Edge Impulse for our Akida Edge AI Box:
The Akida Edge AI box was launched in 2024 for developers to create new edge AI use cases for environments where power efficiency and reliability take center stage, now this developer device has attracted an eco-system of partners to port and deploy their AI software on the Edge AI Box. Explore firsthand demos with Edge Impulse, demonstrating how easy it is to build and deploy custom machine learning models directly on the Akida platform.
Anomaly Detection Demo:
Explore our latest anomaly detection solution running on Raspberry Pi 5. This versatile demo targets multiple verticals, including Industrial IoT, manufacturing, healthcare (wearable devices), cybersecurity, fraud detection, and more featuring our newly released Akida M.2 card. This economical M.2 design utilized by OEMs can provide turn-key design integration for the AI acceleration provided by Akida.
d1105dfa-e056-3909-9772-7ec94bd67bf7.png
Thank You for Being Part of Our Journey
To our partners, customers, and the broader BrainChip community: thank you for your continued trust and support. Together, we will continue to shape the future of AI.
 
  • Like
  • Love
  • Fire
Reactions: 40 users

Frangipani

Regular
I have written down that Ant61 confirmed it is in Beacon but I haven’t kept a link (from memory it was on a LinkedIn comment they responded to), perhaps someone else here has it (however I do know I wouldn't have written it down for myself if I didn't see it with my own eyes)

Here you go - at least I assume this is what you were looking for, @Terroni2105 ?


F056AC2E-27FE-4741-92F1-1FBA710C3258.jpeg

5FAB1067-12DD-425E-90CF-C1D1CB085A0B.jpeg




When I saw this post last month, these 👍🏻👍🏻 by both the ANT61 company account and founder Mikhail Asavkin under @Baisyet’s comment “hoping Akida is one of them 😎😎” really had me confused, because just like @DingoBorat and @Mt09, I had equally been under the impression that only the ANT61 Brain neuromorphic computer contained Akida, not the Beacon. 🤔

But this LinkedIn post indeed suggests otherwise, as the article above these comments refers to the Beacon only, not the ANT61 Brain.
And nowhere is there any mention of a Beacon 2.0 model…

But if it is true that both of ANT61’s current products utilise Akida, why have we never found out through an announcement (or at least a social media post referencing it) from either of the companies directly? 🤔
 
  • Like
Reactions: 14 users
Here you go - at least I assume this is what you were looking for, @Terroni2105 ?


View attachment 75974
View attachment 75975



When I saw this post last month, these 👍🏻👍🏻 by both the ANT61 company account and founder Mikhail Asavkin under @Baisyet’s comment “hoping Akida is one of them 😎😎” really had me confused, because just like @DingoBorat and @Mt09, I had equally been under the impression that only the ANT61 Brain neuromorphic computer contained Akida, not the Beacon. 🤔

But this LinkedIn post indeed suggests otherwise, as the article above these comments refers to the Beacon only, not the ANT61 Brain.
And nowhere is there any mention of a Beacon 2.0 model…

But if it is true that both of ANT61’s current products utilise Akida, why have we never found out through an announcement (or at least a social media post referencing it) from either of the companies directly? 🤔
I didn't recall AKIDA being 100% confirmed as being in Beacon..
Which it looks like it hasn't..

But it makes complete sense, that if they thought it was good enough for the ANT61 Brain (and they "are" a much smaller player, than other Space agencies, that have advocated using AKIDA)..

Why "wouldn't" they use it in their Beacon product, which would certainly benefit from its capabilities?..

This would be a profit sharing arrangement and not an IP deal, because of their size.
 
  • Like
  • Fire
Reactions: 7 users

Bravo

If ARM was an arm, BRN would be its biceps💪!
Podcast is out 1hour ago



Thanks for posting @7für7!

If there were any doubts about the strength of the partnership between BrainChip and Edge Impulse, I think they can now be put to rest. This is a recurring theme throughout the podcast, with Spencer Huang also repeatedly emphasizing how BrainChip enables innovations that were previously impossible—"making science fiction a reality," as he states toward the end.

I like how Spencer talked about smartwatches predicting health conditions before they happen without the necessity to re-charge the watch for months! Achieving highly efficient, ultra-low power, edge AI models running on devices was expressed as the shared goal.

I also loved the analogy that the collaboration between BrainChip and Edge Impulse is like being in a kitchen where Edge Impulse is the cutlery or the tools and BrainChip is the ingredients or the truffles!

Can't wait to find out more about the use cases Spencer describes when discussing how Akida is pushing the boundaries of what is possible in edge AI, which included smartwatches (as previously described), traffic lights that are auto-aware and able to regulate traffic autonomously and anomaly prediction in industrial use cases. Spencer highlights a key challenge, stating, “There are limitations in today’s non-neuromorphic architectures.” I understood this to mean that traditional architectures lack the capability to effectively support these types of advanced functionalities.

Towards the end of the podcast Spencer mentions that in 2025 Edge Impulse are going to be leveraging a lot more foundational models and focussing on vision, language, LLM's. He talked about BrainChip's demo running LLM's in the suite and said that he wants to make sure that Edge Impulse has the proper tool sets ready for developers because he knows these use cases are coming!
 
  • Like
  • Love
  • Fire
Reactions: 26 users
Top Bottom