BRN Discussion Ongoing

[Frangipani]

On a brighter note, BrainChip will be attending four large-scale events later this month:

View attachment 86433

We’d already found out about three of the four events prior to the newsletter release. Here is some more info about the fourth one, the Living Planet Symposium in Vienna, organised by ESA.

Douglas McLelland and Gilles Bézard will be representing BrainChip with a talk titled “Event-driven computation and sparse neural network activity deliver low power AI” as part of the session Orbital Intelligence for Earth Observation applications: The edge of AI In Space, chaired by Gabriele Meoni from ESA, who has first-hand experience of AKD1000 cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-462334

https://lps25.esa.int/

View attachment 86435

View attachment 86434 View attachment 86436 View attachment 86437 View attachment 86438 View attachment 86439 View attachment 86440

We’d already found out that Douglas McLelland and Gilles Bézard will be representing BrainChip at the upcoming Living Planet Symposium in Vienna (organised by ESA) thanks to a reference to that conference in the latest BRN newsletter (see my 8 June post for more details ).

That event in Austria’s capital now also shows up on our website under “What’s New”:

Whats New

What's New Discover the Lastest BrainChipTM News Edge AI in the Spotlight Fresh from the Newsfeed

brainchip.com

Living Planet Symposium

Living Planet Symposium Join BrainChip for Living Planet Symposium June 23-27, 2025 in Vienna, Austria. LP25 is the world's premier event on Earth observation, providing a forum to review the contribution that data can make in addressing environmental and societal challenges.

brainchip.com

 

[DK6161]

You were lead to believe in the company?

By who?(Be specific)

When you invest in a company generally you do some kind of research on the company before you invest in it.

Did YOU do this? Then when YOU decided to throw money at it. Did YOU continue to do research and keep updated on whats going on?

You say you No Longer believe that the company is going to succeed. So obviously YOU have seen something that has brought YOU to that conclusion.

Notice how I emphasised the word YOU there. That implies that it is YOU who made the decision to firstly research what the company does, then YOU decided to invest, then YOU continued to research and follow the progress of the company and now YOU find yourself no longer believing in what the company is trying to achieve for reasons XYZ.

To be honest with you if I were in your shoes I know exactly what I would do next. I'm not going to tell you what that is because that is a decision that ONLY YOU can make.

For the record we all make bad decisions and anyone that says otherwise is flat out lying. I've sold shares in 2 companies this year. 1 because I bought hype and got my ass handed to me and the other funnily enough I should have held on to as it has now done a x3 from my original buy price. I sold it at 150% profit.

I'm still invested in Brainchip because I still firmly believe that they will be successful. That is MY BELIEF. Taking a bit longer than I expected but hey I can't control tWe all know who the number 1 fan boy that made the company look like a "no brainer" to invest in.

1. We all know the no 1 fan boy that made the company looked like it was about to go to the moon.
2. Look at previous AGMs where the CEO said there was going to be an explosion of revenue.

But yes, I made the decision to invest based on the hype.
Thanks for pointing that out.

 

[DK6161]

I'm out if there's another cap raise

Like @AusEire said.
Don't blame the company mate. It is your fault for throwing money at it.

 

[Bravo]

Back in January, after listening to a podcast featuring Steven Brightfield, I mentioned that I had the impression he may have been hinting at Meta as one of the companies involved in discussions around smart glasses (as above).

So, it’s with great interest that I’ve seen reports today about a new collaboration between Meta and Oakley on a sports-focused line of smart glasses, with an official announcement reportedly scheduled for Friday, 20 June.

The partnership builds on the existing relationship between Oakley and Ray-Ban under their parent company, EssilorLuxottica, which already works closely with Meta on the Ray-Ban Meta smart glasses.

I’ll definitely be tuning into this announcement to learn more. Early reports suggest the glasses are being optimised for sports and athletic use, with a focus on hands-free video recording capabilities. The announcement will also likely reveal specific features, pricing, and availability for the glasses.

Over the past few days, I’ve noticed a recurring theme across industry commentary - battery life continues to be a major challenge for smart glasses, particularly when video capture is involved, which significantly increases power consumption.

Thanks to our collaboration with Onsor, we know BrainChip’s Akida technology can support all-day battery life without the need for external battery packs or cloud connectivity. That’s a capability that most players in this space are still chasing.

If Meta plans to push harder into high-performance, video-centric smart glasses, it seems likey they would need a low-power solution like ours to get them across the line. Edit: As pointed out to me by @Diogenese, monitoring for early signs of a seizure, as in the Onsor glasses, is largely a passive function, similar to wake-word detection. In contrast, continuous video processing and classification is a significantly more active workload for any processor. So, while Akida with TENNs could theoretically help extend battery life, we’d need to wait for real-world performance data before drawing conclusions about its impact in such demanding use cases.

And - whether it’s meaningful or not - we’ve seen a few likes from Meta employees on LinkedIn.

Oh, and then there's also the small fact that Sean recently confirmed that the company that is manufacturing the glasses for Onsor is the same one doing them for Meta, EssilorLuxottica.

So, I welcome you to draw your own conclusions.



Video Start Time : 14.26 when Sean mentions the Onsor frames are made by EssilorLuxottica ,who also make the Meta frames.

channelnews : Meta and Oakley Announce Smart Glasses Reveal for June 20

Meta and Oakley have offically teased the launch of their collaborative smart glasses, scheduled for announcement on Friday, June 20, through a new Instagram account and coordinated social media campaign. The announcement comes via the newly created @oakleymeta Instagram account, which posted a...

www.channelnews.com.au

View attachment 87214

An EXTRACT from this evenings press release.

Launch of BrainChip Developer Hub Accelerates Event-Based AI Innovation on Akida™ Platform with Release of MetaTF 2.13

BrainChip announces new Developer Hub and MetaTF toolkit, enabling seamless development and deployment of machine learning models on its Akida™ platform.

www.einpresswire.com

Hopefully...

 

[manny100]

Its interesting how AKIDA and TENNs co exist. Bravo's post above concerning Onsor's epilepsy detectors is a good example. AKIDA the hardware provides the signals and TENNs (with perhaps software designed by Onsor?) does the thinking, tells AKIDA who provides the response, eg seizure within an hour.
They are complementary. TENNs are the brains, and Akida is the body.
Another example, Eg, if i am hiking in bush i have never been to before i could use a drone for forward navigation purposes.
If for some reason i wanted to communicate with the drone via hand signals, eg raised arm means return etc. A camera or other suitable device would pick up my arm motions.
AKIDA provides the cloud free, event based, low power, on chip learning platform.
TENNs do the 'thinking'.
Akida collects and pre-processes that event data in real time—say, my arm moves upward.
It then runs the TENNs model internally to interpret what that movement means—maybe it’s my gesture for “come back and hover.”
Then, Akida enables the appropriate response: the drone returns and hovers.
It's all in real time on low power. Traditional Edge AI would run out of power in no time.
The above is very basically how AKIDA and TENNs run together.
The key is that AKIDA is the hardware and it needs software, eg TENNs to do the 'thinking'.
Easy to see why tiny PICO and TENNs are a good pair.

 

[FiveBucks]

I'm out if there's another cap raise

It is inevitable.

They said at the AGM they are aiming for $9 mill revenue this year. Our cash burn is significantly higher.

 

[Fullmoonfever]

New GitHub update 20hrs ago on Akida/CNN2SNN and including TENNs release, modules and models etc by the looks.

@Diogenese will probs know more of anything unusual or new tucked in there.

Releases · Brainchip-Inc/akida_examples

Brainchip Akida Neuromorphic System-on-Chip examples and documentation. - Brainchip-Inc/akida_examples

github.com

20 hours ago

ktsiknos-brainchip
2.13.0-doc-1
d8435c2
Compare
Upgrade to Quantizeml 0.16.0, Akida/CNN2SNN 2.13.0 and Akida models 1.7.0
Latest

Update QuantizeML to version 0.16.0​

New features​

• Added a bunch of sanitizing steps targetting native hardware compatibility:
  • Handle first convolution that cannot be a split layer
  • Added support for "Add > ReLU > GAP" pattern
  • Added identity layers when no merge layers are present after skip connections
  • BatchNormalisation layers are now properly folded in ConvTranspose nodes
  • Added identity layers to enforce layers to have 2 outbounds only
  • Handled Concatenate node with a duplicated input
• Added support for TENNs ONNX models, which include sanitizing, converting to inference mode and quantizing
• Set explicit ONNXScript requirement to 0.2.5 to prevent later versions that use numpy 2.x

Bug fixes​

• Fixed an issue where calling sanitize twice (or sanitize then quantize) would lead to invalid ONNX graphs
• Fixed an issue where sanitizing could lead to invalid shapes for ONNX Matmul/GEMM quantization

Update Akida and CNN2SNN to version 2.13.0​

Aligned with FPGA-1679(2-nodes)/1678(6-nodes)​

New features​

• [cnn2snn] Updated requirement to QuantizeML 0.16.0
• [cnn2snn] Added support for ONNX QuantizedBufferTempConv and QuantizedDepthwiseBufferTempConv conversion to Akida
• [akida] Full support for TNP-B in hardware, including partial reconfiguration with a constraint that TNP-B cannot be the first layer of a pass
• [akida] Full support of Concatenate layers in hardware, feature set aligned on Add layers
• [akida] Prevented the mapping of models with both TNP-B and skip connections
• [akida] Renamed akida.NP.Mapping to akida.NP.Component
• [akida] Improved model summary for skip connections and TNP-B layers. The summary now shows the number of required SkipDMA channels and the number of components by type.
• [akida] Updated mapping details retrieval: model summary now contains information on external memory used. For that purpose, some C++/Python binding was updated and cleaned. The NP objects in the API have external members for memory.
• [akida] Renamed existing virtual devices and added SixNodesIPv2 and TwoNodesIPv2 devices
• [akida] Introduced create_device helper to build custom virtual devices
• [akida] Mesh now needs an IP version to be built
• [akida] Simplified model statistics API and enriched with inference and program clocks when available
• [akida] Dropped the deprecated evaluate_sparsity tool

Update Akida models to 1.7.0​

• Updated QuantizeML dependency to 0.16.0 and CNN2SNN to 2.13.0
• Sparsity tool name updated. Now returns python objects instead of simply displaying data and support models with skip connections
• Introduced tenn_spatiotemporal submodule that contains model definition and training pipelines for DVS128, EyeTracking and Jester TENNs models
• Added creation and training/evaluation CLI entry points for TENNs

Introducing TENNs modules 0.1.0​

• First release of the package that aims at providing modules for Branchip TENNs
• Contains blocks of layers for model definition: SpatialBlock, TemporalBlock, SpatioTemporalBlock that come with compatibility checks and custom padding for Akida
• The TemporalBlock can optionally be defined as a PleiadesLayer following https://arxiv.org/abs/2405.12179
• An export_to_onnx helper is provided for convenience

Documentation update​

• Added documentation for TENNs APIs, including tenns_modules package
• Introduced two spatiotemporal TENNs tutorials
• Updated model zoo page with mAP50, removed 'example' column and added TENNs
• Added automatic checks for broken external links and fixed a few
• Cosmetic changes: updated main logo and copyright to 2025

 

[Diogenese]

Hmmmm...

Intel’s is overhauling its engineering leadership team in an effort to help with its AI comeback. New hires include executives such as Jean-Didier Allegrucci (AI SoC) and Shailendra Desai (AI architecture) signals a pivot toward AI-first development, with neuromorphic computing potentially in the spotlight.



EXTRACT 1
View attachment 87300


EXTRACT 2
View attachment 87301

Intel Starts Re-Engineering Its Executive Ranks

It has been two and a half months since new chief executive officer Lip-Bu Tan gave the keynote at Intel’s Vision 2025 event, and the company has been

www.nextplatform.com

Intel Revamps Leadership with Tech Giants to Boost AI Chip Strategy

Intel Revamps Leadership with Tech Giants to Boost AI Chip Strategy

www.ainvest.com

Intel Appoints Sales and Engineering Leaders

New appointments align with focus on delivering for customers and becoming an engineering-focused company.

newsroom.intel.com

EXTRACT

View attachment 87302
In the news today,

Apparently Altman does not believe in the once bitten, twice shy adage.

When he first pledged $50M to Rain AI, their proposed product, confusing complexity with chaos, was a spaghetti bowl of "self-organizing" nanowires which were supposed to autonomously establish analog neuronal connexions.

A couple of years down the track, they abandoned this and switched to digital neurons. Now they appear to be workiing on hybrid digital/analog with ADC/DAC

Still, as they say, another $150M is neither here nor there.

https://finance.yahoo.com/news/sam-...TPcs9cWc0tQ7adDpJ0Knav5r36EtB13T-ts0zmG9uIl0Z

20250524​

Sam Altman's $150M AI Chip Bet Crashes: Rain AI Faces Sale As OpenAI, Nvidia, And Microsoft Circle The Wreckage​

 

[Diogenese]

An EXTRACT from this evenings press release.


View attachment 87322

Launch of BrainChip Developer Hub Accelerates Event-Based AI Innovation on Akida™ Platform with Release of MetaTF 2.13

BrainChip announces new Developer Hub and MetaTF toolkit, enabling seamless development and deployment of machine learning models on its Akida™ platform.

www.einpresswire.com

Hopefully...

View attachment 87323
View attachment 87324

It will be interesting to see some power usage figures for the glasses.

 

[Frangipani]

The 40th Space Symposium in Colorado Springs is in full swing.

Josef Aschbacher, the European Space Agency’s Director General, reminisces about a warm summer night in his childhood that kindled the flame of curiosity in him and laid the foundation for his life-long fascination with space.

In his post, he also shares a link to ESA’s Strategy 2040, of which you’ll find a summary below:

We all have our own memories deep in our subconscious that can catch us off-guard when suddenly evoked by a distinct smell, a familiar voice, the mention of an old friend we haven’t thought of in… | Josef Aschbacher

We all have our own memories deep in our subconscious that can catch us off-guard when suddenly evoked by a distinct smell, a familiar voice, the mention of an old friend we haven’t thought of in years. Where we can remember exactly what we were doing, wearing, thinking, feeling. Viscerally, we...

www.linkedin.com

View attachment 81805

https://esamultimedia.esa.int/docs/corporate/ESA_Strategy_2040_InBrief.pdf

(For the Strategy 2040 In Focus and Strategy 2040 In Depth versions, click here)

View attachment 81800 View attachment 81801 View attachment 81802 View attachment 81803 View attachment 81804

On Day 2 of the Paris Air Show 2025 at Le Bourget, ESA released Technology 2040, their vision for the next 15 years and beyond, which “fully supports and enhances” ESA’s Strategy 2040, published earlier this year .

Laurent Hili is named as one of the contact persons for the subtopic “AI-DRIVEN INNOVATIONS IN SPACE TECHNOLOGIES”.

ESA Technology 2040 is not just a roadmap – it is a call to action. | Josef Aschbacher

ESA Technology 2040 is not just a roadmap – it is a call to action. The document defines an integrated tech stack that keeps supply‑chains sovereign, scales through serialisation and modularity, and locks in European leadership from LEO to deep space. By 2040, we envision a resilient European...

www.linkedin.com

https://esamultimedia.esa.int/docs/technology/Technology_2040.pdf

Some excerpts:

 

[Pom down under]

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@zeeb0t

 

[Rach2512]

@zeeb0t

That went straight on ignore.

 

[7für7]

Smells like a big announcement is right on the corner!!
It smells nice… like a fresh warm wind after a long and hard winter…
It’s still March, but there’s something in the air… something whispering softly:
“Hey… don’t worry… the climate change will bring me back earlier than usual…
Just relax… don’t worry… you don’t have to wait much longer…”
…with a calm female voice… clean, mysterious… a bit seductive, too.
Not too pushy.. just enough to make you feel like she knows something.
And maybe… just maybe… she’s already here. But she wants us to feel it before we see it.

Ahhh… the announcement… I can feel it… like a new season coming, even before the calendar allows it.
Yes… it’s coming. Right? …Right??
Or maybe…
…it’s just my radiator kicking in again.
Hard to tell these days.

 

[Gazzafish]

https://www.dqindia.com/esdm/brainchip-collaborates-with-chelpis-mirle-on-security-solution-9370377

Extract-“

BrainChip collaborates with Chelpis-Mirle on security solution​

M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment.​

17 Jun 2025 13:10 IST

DQI Bureau
Follow Us

Listen to this article
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security.

Chelpis, a chip company leading the Quantum Safe Migration ecosystem in Taiwan, is developing an M.2 card using the AKD1000 that can be inserted into targeted products to support their cryptographic security solutions. The M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment. Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000.
This agreement is the first step in a collaboration that is exploring the development of an AI-PQC robotic chip designed to fulfill both next-generation security and AI computing requirements. This project is a joint development effort with Chelpis partner company Mirle (2464.TW) and has been formally submitted for consideration under Taiwan’s chip innovation program. The funding aims to promote a new system-on-chip (SoC) integrating RISC-V, PQC, and NPU technologies.
This SoC will specifically support manufacturing markets that emphasize a Made-in-USA strategy. Mirle plans to build autonomous quadruped robotics that mimic the movement of four-legged animals for industrial/factory environments. To enable this vision, Chelpis is exploring BrainChip’s advanced Akida™ IP to incorporate advanced visual GenAI capabilities in the proposed SoC design.

“The ability to add Edge AI security capabilities to our industrial robotics project that provides the low power data processing required is paramount to successfully achieving market validation in the robotics sector,” said Ming Chih, CEO of Chelpis. “We believe that BrainChip’s Akida is just the solution that we further need to bring our SoC to fruition. Their event-based processing and advanced models serve as a strong foundation for developing a platform for manufacturing customers looking to leverage advanced robotics in their facilities.”
“Akida’s ability to efficiently provide cyber-security acceleration with energy efficiency can help secure autonomous robotic devices,” said Sean Hehir, CEO of BrainChip.
“Akida’s innovative approach to supporting LLMs and GenAI algorithms could serve as a key contributor to Chelpis as they pursue government funding to develop their SoC and advance their industrial robotic initiatives.”

 

[7für7]

https://www.dqindia.com/esdm/brainchip-collaborates-with-chelpis-mirle-on-security-solution-9370377

Extract-“

BrainChip collaborates with Chelpis-Mirle on security solution​

M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment.​

17 Jun 2025 13:10 IST

DQI Bureau
Follow Us

Listen to this article
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security.

Chelpis, a chip company leading the Quantum Safe Migration ecosystem in Taiwan, is developing an M.2 card using the AKD1000 that can be inserted into targeted products to support their cryptographic security solutions. The M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment. Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000.
This agreement is the first step in a collaboration that is exploring the development of an AI-PQC robotic chip designed to fulfill both next-generation security and AI computing requirements. This project is a joint development effort with Chelpis partner company Mirle (2464.TW) and has been formally submitted for consideration under Taiwan’s chip innovation program. The funding aims to promote a new system-on-chip (SoC) integrating RISC-V, PQC, and NPU technologies.
This SoC will specifically support manufacturing markets that emphasize a Made-in-USA strategy. Mirle plans to build autonomous quadruped robotics that mimic the movement of four-legged animals for industrial/factory environments. To enable this vision, Chelpis is exploring BrainChip’s advanced Akida™ IP to incorporate advanced visual GenAI capabilities in the proposed SoC design.

“The ability to add Edge AI security capabilities to our industrial robotics project that provides the low power data processing required is paramount to successfully achieving market validation in the robotics sector,” said Ming Chih, CEO of Chelpis. “We believe that BrainChip’s Akida is just the solution that we further need to bring our SoC to fruition. Their event-based processing and advanced models serve as a strong foundation for developing a platform for manufacturing customers looking to leverage advanced robotics in their facilities.”
“Akida’s ability to efficiently provide cyber-security acceleration with energy efficiency can help secure autonomous robotic devices,” said Sean Hehir, CEO of BrainChip.
“Akida’s innovative approach to supporting LLMs and GenAI algorithms could serve as a key contributor to Chelpis as they pursue government funding to develop their SoC and advance their industrial robotic initiatives.”

Actually it’s old news wrapped in new paper… it’s from April or mai …. or did i miss something on this „announcement“

 

[smoothsailing18]

World's first ?.

 

[7für7]

World's first ?.

It’s getting day by day better GO BRAINCHIP!!

 

[Pom down under]

That went straight on ignore.

Thought you meant me for a second, then I realized I wouldn’t be able to read this

 

[AusEire]

1. We all know the no 1 fan boy that made the company looked like it was about to go to the moon.
2. Look at previous AGMs where the CEO said there was going to be an explosion of revenue.

But yes, I made the decision to invest based on the hype.
Thanks for pointing that out.

Wait! So You've just admitted to the world that you invested in a company because essentially one person or in your words "fan boy" hyped it up online

And to your second point. Eh no. The CEO (LDN, Peter or Sean) at no stage DURING ANY AGM in the time I've been invested said that "there was going to be an explosion of revenue". Obviously they want revenue to increase but they never said that.

Given the conservative approach on announcing shit this simply never happened at an AGM. The only time that I can remember a statement being made with regards to sales in an AGM was by Antonio when he said that one contract could make Brainchip profitable over night and that was said at the 2024 AGM.

What you are referring to is an interview PVDM did with Commsec where he stated that he was expecting an explosion of sales to happen in time. That quote might not be exact but it's roughly what was said.

 

[Diogenese]

New GitHub update 20hrs ago on Akida/CNN2SNN and including TENNs release, modules and models etc by the looks.

@Diogenese will probs know more of anything unusual or new tucked in there.

Releases · Brainchip-Inc/akida_examples

Brainchip Akida Neuromorphic System-on-Chip examples and documentation. - Brainchip-Inc/akida_examples

github.com

20 hours ago

ktsiknos-brainchip
2.13.0-doc-1
d8435c2
Compare
Upgrade to Quantizeml 0.16.0, Akida/CNN2SNN 2.13.0 and Akida models 1.7.0
Latest

Update QuantizeML to version 0.16.0​

New features​

• Added a bunch of sanitizing steps targetting native hardware compatibility:
  • Handle first convolution that cannot be a split layer
  • Added support for "Add > ReLU > GAP" pattern
  • Added identity layers when no merge layers are present after skip connections
  • BatchNormalisation layers are now properly folded in ConvTranspose nodes
  • Added identity layers to enforce layers to have 2 outbounds only
  • Handled Concatenate node with a duplicated input
• Added support for TENNs ONNX models, which include sanitizing, converting to inference mode and quantizing
• Set explicit ONNXScript requirement to 0.2.5 to prevent later versions that use numpy 2.x

Bug fixes​

• Fixed an issue where calling sanitize twice (or sanitize then quantize) would lead to invalid ONNX graphs
• Fixed an issue where sanitizing could lead to invalid shapes for ONNX Matmul/GEMM quantization

Update Akida and CNN2SNN to version 2.13.0​

Aligned with FPGA-1679(2-nodes)/1678(6-nodes)​

New features​

• [cnn2snn] Updated requirement to QuantizeML 0.16.0
• [cnn2snn] Added support for ONNX QuantizedBufferTempConv and QuantizedDepthwiseBufferTempConv conversion to Akida
• [akida] Full support for TNP-B in hardware, including partial reconfiguration with a constraint that TNP-B cannot be the first layer of a pass
• [akida] Full support of Concatenate layers in hardware, feature set aligned on Add layers
• [akida] Prevented the mapping of models with both TNP-B and skip connections
• [akida] Renamed akida.NP.Mapping to akida.NP.Component
• [akida] Improved model summary for skip connections and TNP-B layers. The summary now shows the number of required SkipDMA channels and the number of components by type.
• [akida] Updated mapping details retrieval: model summary now contains information on external memory used. For that purpose, some C++/Python binding was updated and cleaned. The NP objects in the API have external members for memory.
• [akida] Renamed existing virtual devices and added SixNodesIPv2 and TwoNodesIPv2 devices
• [akida] Introduced create_device helper to build custom virtual devices
• [akida] Mesh now needs an IP version to be built
• [akida] Simplified model statistics API and enriched with inference and program clocks when available
• [akida] Dropped the deprecated evaluate_sparsity tool

Update Akida models to 1.7.0​

• Updated QuantizeML dependency to 0.16.0 and CNN2SNN to 2.13.0
• Sparsity tool name updated. Now returns python objects instead of simply displaying data and support models with skip connections
• Introduced tenn_spatiotemporal submodule that contains model definition and training pipelines for DVS128, EyeTracking and Jester TENNs models
• Added creation and training/evaluation CLI entry points for TENNs

Introducing TENNs modules 0.1.0​

• First release of the package that aims at providing modules for Branchip TENNs
• Contains blocks of layers for model definition: SpatialBlock, TemporalBlock, SpatioTemporalBlock that come with compatibility checks and custom padding for Akida
• The TemporalBlock can optionally be defined as a PleiadesLayer following https://arxiv.org/abs/2405.12179
• An export_to_onnx helper is provided for convenience

Documentation update​

• Added documentation for TENNs APIs, including tenns_modules package
• Introduced two spatiotemporal TENNs tutorials
• Updated model zoo page with mAP50, removed 'example' column and added TENNs
• Added automatic checks for broken external links and fixed a few
• Cosmetic changes: updated main logo and copyright to 2025

The reference to reLU is interesting:

"

• Added support for "Add > ReLU > GAP" pattern

"

There was a recent BRN talk (AL/JT ? maybe the Roadmap*?) which I understood to mean that ReLUs were replaced by LookUp Tables (LUTs) because ReLUs were very power hungry.


* Roadmap @ 7:30: https://brainchip.com/brainchip-technology-roadmap/ "activation function" in Akida 2
https://en.wikipedia.org/wiki/Activation_function