BRN Discussion Ongoing

Doz

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Or sure if posted, but are we there yet……. M85 ?

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Frangipani

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Its a great sign when a business like ARM say:
" BrainChip is the worldwide leader in edge AI on-chip processing and learning. "
My bold above.
When ARM say you are the worldwide leader then you absolutely are.

I’m pretty sure it is the partners themselves that are solely responsible for the content they submit to the Arm ecosystem partner webpages.

Which means it is not Arm saying this about BrainChip, but instead Arm ecosystem partner BrainChip claiming this about themselves.


Most likely similar in the way to what Arm say in their Terms of Use about links to third party sites and resources from the their own website:


Links from the Arm Website

Where the Arm Website contains links to other sites and resources provided by third parties, these links are provided for your information only. We are providing these links to you only as a convenience, and the inclusion of any link does not imply endorsement by us of the third party sites and resources. We have no control over the contents of those sites or resources and accept no responsibility for them or for any loss or damage that may arise from your use of them. If you decide to access any of the third party websites, you do so at your own risk.
 
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Frangipani

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Good evening from Perth...
It appears our old mates at Accenture Global Solutions Ltd have had a new Patent published just 3 weeks ago, naming us alongside Intel, but this time finally stating a true fact, Intel's Loihi is the research chip while we are the actual commercial chip, nice, finally 👍♥️

Maybe Dio or the crew have already posted this newish patent, but here is the link anyway.... when the f... will a company sign an IP contract...moan,
moan :ROFLMAO:


Hi @TECH,

sorry to disillusion you, but this is not a new Accenture patent!

@Fullmoonfever had already posted about it more than a year ago.
This patent titled “Self-learning Neuromorphic Gesture Recognition Models” was filed on 22 November 2022 and first published on 23 May 2024:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-432356

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I also recalled referring to it in a November 2024 post:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-442579

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The only novel thing about the patent is that it has now finally been granted, after initially getting rejected back in February (cf. the meaning of B2 after the patent number as well as below patent history):

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(…) naming us alongside Intel, but this time finally stating a true fact, Intel's Loihi is the research chip while we are the actual commercial chip, nice, finally 👍♥️

As far as I am aware, Accenture has referred to Intel’s Loihi as a “neuromorphic research chip” in all their relevant patents at some point. Please provide proof of the contrary, thank’s!
 
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Frangipani

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A bit surprising to find “BrainChip Akida” shortlisted in three categories for

The Cloud Awards​

These five awards programs celebrate excellence and innovation in the scope of cloud-based "solutions as a service". Organizations of any size, any vertical and any area of the world may apply for recognition as a Cloud Awards, SaaS Awards, Cloud Security Awards, A.I. Awards or FinTech Awards winner or nominee.

The Software-as-a-Service Awards program concludes before the end of May. The Cloud Awards program concludes before the end of October. The Cloud Security Awards program concludes before the end of February. Typically this will be on the penultimate (second-to-last) Friday of the month. Extensions, if given, will incur a late-entry fee.



I vaguely recall our company were primarily targeting the extreme Edge, on-device processing, highlighting privacy and security by being unconnected to the Cloud etc. 😂

So who nominated our company for an award celebrating ‘excellence and innovation in the scope of cloud-based "solutions as a service"’ in healthcare and cybersecurity? 🙄


At the same time I also wonder whether this might be an award program you actually need to pay for to be featured in? 🤔 I’ve come across a similar one before…



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Frangipani

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Not too sure what to make of this? 🤔

A “Portable AI Agent for Paraplegics. This is now being sold”, with an optional BrainChip AKD1000 on an M.2 form factor as an AI accelerator for CV/low-power tasks…




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STEVE LEONARDI

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IloveLamp

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Frangipani

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(…) As for neuromorphic research, we know that AFRL has been collaborating with both IBM and Intel for years.

While the AFRL Facilities Book FY25 doesn’t specify whether or not the “3UVPX heterogeneous computing” in their equipment list includes a 3U VPX board with a neuromorphic processor, it could theoretically even refer to IBM’s NorthPole in a 3U VPX form factor (aka NP-VPX):




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(…)

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The following October 2023 exchange on LinkedIn between IBM’s Dharmendra Modha and AFRL Principal Computer Scientist Mark Barnell (who is also named as the Embedded Edge Computing Lab’s Primary POC on page 66 of the AFRL Facilities Book FY25) on the release of NorthPole is evidence that the collaboration between AFRL and IBM did not end with the TrueNorth era.





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And yet, less than a week earlier, one of the co-authors, Tarek Taha, will be presenting a differently titled paper by the same group of University of Dayton researchers (plus Simon Khan from AFRL), in which they state that a comparative analysis of their “low-power anomaly detection system for Controller Area Network (CAN)” on Akida and Loihi showed that “Loihi consumes about 91 times less power than Akida”.

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-457988

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By the way, those University of Dayton researchers are long-time collaborators and co-authors of Steven Harbour from Parallax Advanced Research (headquartered in the same city, namely Dayton, OH), dating back to the time when he was still working at Southwest Research Institute.

Today’s post by Lauren Reinerman-Jones from SwRI (Southwest Research Institute) is further evidence that the US Air Force - while currently evaluating Akida - continues to be interested in Loihi:


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What ever happened to the Nitendo switch 2?
 
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itsol4605

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7für7

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Can I ask you something?
 
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Frangipani

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Yes, that statement actually comes from a paper presented at the IEEE ISVLSI conference in July 2023. The paper is titled "Comparative Analysis of Low-Power Anomaly Detection on Neuromorphic Chips for Controller Area Network (CAN) Data", and was co-authored by Tarek Taha (University of Dayton) and Simon Khan (AFRL), among others.
In the study, they implemented an anomaly detection model on both Loihi and Akida chips, using the same CAN dataset. The results showed that Loihi consumed around 91 times less power than Akida for this specific task.
However, it's important to note that this is not a general benchmark. The test was very specific to a certain use-case in vehicular networks, and the result depends heavily on the software setup, optimization level, and even how the power consumption was meassured. Also, Loihi is more of a research platform, while Akida targets edge applications with different design priorities.
So the result is interesting, but should'nt be overgeneralized.

Hi @Baneino,

could you please share with us where you found evidence of that July 2023 IEEE ISVLSI conference paper titled “Comparative Analysis of Low-Power Anomaly Detection on Neuromorphic Chips for Controller Area Network (CAN) Data”, which you referred to in your above post?

Neither is it included in Tarek Taha’s extensive list of publications (which, while not quite up to date, should be exhaustive with respect to those published in 2023) nor could I find any trace of it when googling the paper’s title as such (except for your 28 July TSE post, that is).

The only conference paper listed on Tarek Taha’s website, which appears to be relevant to the topic, happens to be the 2024 paper “Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi”:


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This is also the only paper on this topic I was able to find under Simon Khan’s Google Scholar profile, who - according to you - is one of the other co-authors.

Said 2024 conference paper was not a comparative analysis, though, plus the authors stated in their abstract that “To the best of our knowledge, this is the first low-power, unsupervised anomaly detection system using the Loihi or any other neuromorphic processor”, which obviously wouldn’t make sense if they had already published an earlier paper comparing Loihi and Akida.
(https://ieeexplore.ieee.org/document/10651224/)

Then there is also the 6 August 2025 conference paper titled “Anomaly Detection of CAN bus messages on neuromorphic hardware” that I referred to in April, which equally appears to contradict the existence of a prior comparative paper by the same authors (cf. section underlined in red):

It appears not everyone at AFRL resp. collaborating with AFRL would agree that Akida is always the superior choice:


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Is that mysteriously elusive 2023 conference paper you claimed existed by any chance a GenAI hallucination?
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
An XPU, or "X Processing Unit," is a broad term encompassing various specialized processors, including CPUs, GPUs, DPUs, and NPUs, designed for high-performance computing and AI/ML applications






EXTRACT ONLY


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FJ-215

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The share price is currently at 19.25c, but there are 5x 1 volume buy-orders sitting at 19c.

Why on Earth would you be willing to wait for 19c for 1 unit, doesn't make sense, haha!
My guess..

They be shorters..
 
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Diogenese

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An XPU, or "X Processing Unit," is a broad term encompassing various specialized processors, including CPUs, GPUs, DPUs, and NPUs, designed for high-performance computing and AI/ML applications






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White knights or pack of vultures?

https://www.globaltimes.cn/page/202508/1341346.shtml

US govt reportedly to take 10% stake in Intel
Move could erode trust in chip giant, change relationship between govt and businesses: experts
By GT staff reportersPublished: Aug 20, 2025 10:27 PM




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7für7

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Is it today the lowest volume I ever saw on brainchip ? Or is it the lowest volume I ever saw on Brainchip today?

Looking Where Are You GIF
 
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