BRN Discussion Ongoing

[Tothemoon24]

PLEIADES: Building Temporal Kernels with Orthogonal Polynomials

We introduce a class of neural networks named PLEIADES (PoLynomial Expansion In Adaptive Distributed Event-based Systems), which contains temporal convolution kernels generated from orthogonal polynomial basis functions. We focus on interfacing these networks with event-based data to perform...

arxiv.org

 

[7für7]

who owns the patent? no mention of BrainChip in the post ?

I think you have to wait like all the others before judging or something… let’s wait and see… one thing for sure.. not prices sensitive

 

[Wags]

Hi all, happy Friday.
Can anyone enlighten me (or others) if we are in any of this prophese magic. It all sounds pretty good to me, especially if you download and have a look at the whitepaper, lots of mentions of SNN, few shot learning, ultra low power, etc etc.
I know Prophese is listed on the Brainchip website as an enablement partner, but within the whitepaper there are mentions of synsense. So very confusing for me.
Any clarity would be good, and if this is essentially us, I like it a lot.
Cheers

WHAT'S NEW AT PROPHESEE?

Stay updated with the latest from Prophesee, including product launches, research highlights, team updates, event participation, and media coverage in event-bas

www.linkedin.com

 

[Guzzi62]

Hi all, happy Friday.
Can anyone enlighten me (or others) if we are in any of this prophese magic. It all sounds pretty good to me, especially if you download and have a look at the whitepaper, lots of mentions of SNN, few shot learning, ultra low power, etc etc.
I know Prophese is listed on the Brainchip website as an enablement partner, but within the whitepaper there are mentions of synsense. So very confusing for me.
Any clarity would be good, and if this is essentially us, I like it a lot.
Cheers

WHAT'S NEW AT PROPHESEE?

Stay updated with the latest from Prophesee, including product launches, research highlights, team updates, event participation, and media coverage in event-bas

www.linkedin.com

Sadly not, according to my chat boot that answered as follows:


No — Akida (BrainChip’s neuromorphic hardware) is not mentioned or used in this project.


The SFERA system relies on:

• Two Prophesee EVK4 event cameras with Fujinon fisheye lenses.
• Standard CPU-based processing (real-time >50 Hz) for detection and tracking.
• Algorithms:
  • Event clustering (Prophesee SDK).
  • Bayesian state estimator with a von Mises–Fisher distribution for tracking.

The paper specifically notes that all processing runs on a standard CPU, with no mention of specialized neuromorphic accelerators like Akida, Loihi, or SpiNNaker.


That said, the event-based nature of SFERA means it could benefit from neuromorphic processors like Akida in future work — but this isn’t part of the current implementation.


Do you want me to check if there are any follow-up works where SFERA (or similar 360° event cameras) have been paired with Akida or other neuromorphic chips?

Yes!

Short answer: No evidence that Akida was used with SFERA specifically — but Akida has been integrated with Prophesee event cameras in other projects and there’s active research combining event cameras with neuromorphic processors. I searched the paper, the authors’ GitHub, vendor blogs and recent news to confirm. PROPHESEE+1


Details & supporting sources

• The SFERA paper / project description and the authors’ GitHub make no mention of Akida or BrainChip hardware — SFERA’s prototype uses Prophesee EVK4 cameras and CPU-based processing. PROPHESEE+1
• BrainChip (Akida) and Prophesee have an established partnership and demos showing Akida processing data from Prophesee event cameras (announced in 2022 and demonstrated at events in 2025). So pairing Prophesee sensors with Akida is feasible and has been publicly shown — but that is not the same as the SFERA authors having done it. PROPHESEE+1
• There are real-world deployments and press items describing Akida+Prophesee solutions for drone / search-and-rescue / detection tasks (examples reported by BrainChip / partners). These show the ecosystem moving toward such pairings. BrainChip+1
• Academic and preprint work also explores combining event cameras with neuromorphic processors or spiking/SNN approaches — i.e., the idea is actively researched and viable.

I know some here don't like the AI Boots, so feel free answering better yourself!

 

[Diogenese]

PLEIADES: Building Temporal Kernels with Orthogonal Polynomials

We introduce a class of neural networks named PLEIADES (PoLynomial Expansion In Adaptive Distributed Event-based Systems), which contains temporal convolution kernels generated from orthogonal polynomial basis functions. We focus on interfacing these networks with event-based data to perform...

arxiv.org

View attachment 91557

Hi TTM,

"... a concept invented 4+ years ago ..."

We knew the patents were filed in 2022, so they were developing the concept for some time before that, and the applications have continued to evolve to the stage where TENNs now replaces transformers in many applications.

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORKS 20220622

US2025209313A1 METHOD AND SYSTEM FOR IMPLEMENTING ENCODER PROJECTION IN NEURAL NETWORKS 20231222

Olivier is rightly proud of their invention, as I'm sure Rudy is also.

1 sleep to go for ... ?

 

[Esq.111]

Post on LinkedIn

Two weeks of 14–19-hour days and enough material for about three patent filings later — I’m thrilled to announce something big tomorrow. Looking forward to sharing more! In the meantime huge… | Olivier Coenen

Two weeks of 14–19-hour days and enough material for about three patent filings later — I’m thrilled to announce something big tomorrow. Looking forward to sharing more! In the meantime huge congrats to my coauthor Rudy Pei! Our PLEIADES paper was accepted to NeurIPS! 🎉 Getting into one of the...

www.linkedin.com

Evening 7fur7 ,

Getting excited .....

Booooooom , this Bull needs to get some pace...... after burner lit......3 ..2...1......

Regards,
Esq.

 

[Diogenese]

Hi all, happy Friday.
Can anyone enlighten me (or others) if we are in any of this prophese magic. It all sounds pretty good to me, especially if you download and have a look at the whitepaper, lots of mentions of SNN, few shot learning, ultra low power, etc etc.
I know Prophese is listed on the Brainchip website as an enablement partner, but within the whitepaper there are mentions of synsense. So very confusing for me.
Any clarity would be good, and if this is essentially us, I like it a lot.
Cheers

WHAT'S NEW AT PROPHESEE?

Stay updated with the latest from Prophesee, including product launches, research highlights, team updates, event participation, and media coverage in event-bas

www.linkedin.com

Hi Wags,

We'd all love certainty on this.

We've been friends with Prophesee for a while:
https://www.bing.com/videos/rivervi...tb=1&msockid=30da4b769aaa11f0a91049ce4a9d57b9

BrainChip Demonstrates Gesture Recognition with Prophesee EV4 Development Camera

There was a time when Prophesee did team up with Synsense (and Sony?), and I thought their el cheapo GenX320 was developed so Synsense could keep up.

But then Synsense merged with Inivation (Prophesee's nemesis).

So there is this:

https://brainchip.com/prophesee-lp/

Efficient AI-Powered Detection​

Arquimea has deployed Akida with a Prophesee camera on a drone to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas, opting for an event-based computing solution for its superior efficiency and consistently high-quality results.

 

[Wags]

Thanks @Guzzi62 and @Diogenese. Really appreciate your effort in reply. So much mixed feelings for me, I take note sadly, of Guzzi62 chatbot reply, yet optimistic of Diogenese. Hopefully the future holds promise for the partnership with Prophese, just wish it would chop chop hurry up.
Thanks again, enjoy the weekend.

 

[Frangipani]

I can’t find any serious sources for this socalled MIT study…

Seriously? Did you even use a proper search engine (if yes, which one?) or merely consult ChatGPT to help you source the original source?
(The LLM may obviously have had a “motive” to deflect from the MIT researchers’ findings and hence may have falsely claimed no such study existed… )

While the authors of the pre-print published in June 2025 wouldn’t fully agree with the (presumably) AI-generated and in part unfactual* “summary” of their study that @Brainshit’s screenshot shows, the study as such is very real. The paper is titled “Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task” and can easily be found online by googling “MIT study ChatGPT”:

*In the project website’s FAQ section, they distance themselves from sensationalist and too general interpretations of their study (which they freely admit has certain limitations) and from inaccurate terms such as “brain-scans”.
Also, the “83.3 %” refer to the following sentence: “Quoting accuracy was significantly different across experimental conditions (Figure 6). In the LLM‐assisted group, 83.3 % of participants (15/18) failed to provide a correct quotation, whereas only 11.1 % (2/18) in both the Search‐Engine and Brain‐Only groups encountered the same difficulty.”


Pre-print: https://arxiv.org/pdf/2506.08872

(…)

(…)

Project Overview ‹ Your Brain on ChatGPT – MIT Media Lab

Check project's website: https://www.brainonllm.comWith today's wide adoption of LLM products like ChatGPT from OpenAI, humans and businesses engage and u…

www.media.mit.edu

Project website: https://www.brainonllm.com/


LinkedIn post by first author Nataliya Kosmyna:

How ChatGPT affects your brain and writing | Nataliya Kosmyna, Ph.D posted on the topic | LinkedIn

𝐍𝐨, 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐟𝐭𝐞𝐫 𝐋𝐋𝐌 𝐨𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐋𝐋𝐌 𝐮𝐬𝐞. See our paper for more results: "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" (link in the comments). For 4 months, 54 students were divided into three groups...

www.linkedin.com

You can also find numerous video interviews with Nataliya Kosmyna online, in which she explains what the study was actually about and what it doesn’t show.

 

[7für7]

Go go goEvening 7fur7 ,

Getting excited .....

Booooooom , this Bull needs to get some pace...... after burner lit......3 ..2...1......

Regards,
Esq.

GO BRAINCHIP!!!!!

 

[Stable Genius]

Hi TTM,

"... a concept invented 4+ years ago ..."

We knew the patents were filed in 2022, so they were developing the concept for some time before that, and the applications have continued to evolve to the stage where TENNs now replaces transformers in many applications.

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORKS 20220622

US2025209313A1 METHOD AND SYSTEM FOR IMPLEMENTING ENCODER PROJECTION IN NEURAL NETWORKS 20231222

Olivier is rightly proud of their invention, as I'm sure Rudy is also.

1 sleep to go for ... ?

@Diogenese

If you don’t mind sharing your expertise Dio as the answers from Google leave me confused.

Who owns the rights to the Plaides patents?

The applicant or inventor?

Reads to me as though it’s the employer?

On further reading sounds like there might be employment conditions or contract establishing this issue so it depends on employment contract conditions?

Pretty important issue!

Edit: my concern is Qualcomm have now pinched Rudy so hoping Plaides is protected by the patent or if they get access to that too?

Cheers

 

[7für7]

@Diogenese

If you don’t mind sharing your expertise Dio as the answers from Google leave me confused.

Who owns the rights to the Plaides patents?

The applicant or inventor?

Reads to me as though it’s the employer?

Cheers

The applicant of course… if you’re employed, most contracts state that inventions related to the company’s tech belong to the employer. Independent stuff outside the company’s field/resources usually stays yours, but it depends on local law and the contract.

 

[Pom down under]

Yet another brilliant week being a BRN shareholder and with SP rising so much over the last 5 days we all could retire in another 22 years. Have a safe a wonderful weekend all

 

[Diogenese]

@Diogenese

If you don’t mind sharing your expertise Dio as the answers from Google leave me confused.

Who owns the rights to the Plaides patents?

The applicant or inventor?

Reads to me as though it’s the employer?

On further reading sounds like there might be employment conditions or contract establishing this issue so it depends on employment contract conditions?

Pretty important issue!

Edit: my concern is Qualcomm have now pinched Rudy so hoping Plaides is protected by the patent or if they get access to that too?

Cheers

There will be an assignment agreement in the employment contract to assign the invention to the employer.

As usual US law is a bit different from British-based systems. The Constitution requires the patent to be filed by the inventor and it can then be assigned to the employer, whereas, in our system the patent application is usually filed by the employer.

Key date is the priority date, when the application was first filed.

As Rudy and Olivier were both employees of BRN at the time the invention was made, BRN is the owner.

No doubt they got a lot of bonus shares.

An interesting case may arise if Rudy creates an improvement invention which requires the use of the original TENNs patents. In such a case the improvement invention is subject to the original patent and could not be used without some agreement (licence/cross-licence) with BRN.

 

[7für7]

Yet another brilliant week being a BRN shareholder and with SP rising so much over the last 5 days we all could retire in another 22 years. Have a safe a wonderful weekend all

The most bullshit sorry bullish statement from you till now… looking forward for more!

 

[Pom down under]

The most bullshit sorry bullish statement from you till now… looking forward for more!

Ok so reality. What another crap week being a BRN share holder with our share price dropping so much over the last 5 days we could all have retired weeks ago. Have a really crap weekend everyone

 

[7für7]

Ok so reality. What another crap week being a BRN share holder with our share price dropping so much over the last 5 days we could all have retired weeks ago. Have a really crap weekend everyone

Sounds pessimistic… but real! And… I can read some positive aspects between the lines…. Keep it up like this bro…

 

[Stable Genius]

There will be an assignment agreement in the employment contract to assign the invention to the employer.

As usual US law is a bit different from British-based systems. The Constitution requires the patent to be filed by the inventor and it can then be assigned to the employer, whereas, in our system the patent application is usually filed by the employer.

Key date is the priority date, when the application was first filed.

As Rudy and Olivier were both employees of BRN at the time the invention was made, BRN is the owner.

No doubt they got a lot of bonus shares.

An interesting case may arise if Rudy creates an improvement invention which requires the use of the original TENNs patents. In such a case the improvement invention is subject to the original patent and could not be used without some agreement (licence/cross-licence) with BRN.

Thanks @Diogenese for indulging me. You always add value to the subject…. and I knew you’d be all over it!


It’ll be handy to have Qualcomm provide a mass market revenue stream for us!

Cheers !

 

[7für7]

Thanks @Diogenese for indulging me. You always add value to the subject…. and I knew you’d be all over it!


It’ll be handy to have Qualcomm provide a mass market revenue stream for us!

Cheers !

You’re welcome

 

[manny100]

Interesting:

High conviction: What we’re backing for the long term

The Australian market might look expensive, but that doesn’t mean there aren’t opportunities say two of Australia’s leading fund managers.

www.livewiremarkets.com

"
In the case of Goodman Group, Wesfarmers and CBA, Mawhinney pointed out that, with a share price trading at around 27x next years earnings, these companies are valued similar to that of Nvidia (NASDAQ: NVDA), but with one core difference..

“And there's a company you may have heard called Nvidia that also trades at 27 times next year's earnings and it's vilified by the press as expensive, but it's grown its earnings also at 27% per annum, whereas those other three companies are growing at 6% per annum collectively.”"