BRN Discussion Ongoing

[Bennysmadness]

From Weebit nano post on LinkedIn, very interesting.

 

[Rach2512]

#wish2025 #womenintech #gsawli #brainchip #techleadership #semiconductors #stem #innovation | BrainChip

We’re proud to have Anusha Madan and Sushama Desai representing BrainChip at WISH 2025, GSA Women's Leadership Initiative premier technical conference celebrating innovation, leadership, and empowerment in tech 🎉 They’re especially looking forward to attending the panel featuring BrainChip...

www.linkedin.com

 

[Diogenese]

From Weebit nano post on LinkedIn, very interesting.
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Thanks Benny,

I did have Weebit in mind for storing models when I mentioned the auxilliary memory.

https://www.weebit-nano.com/news/pr...n-to-advance-intelligent-systems-at-the-edge/

As a Strategic Partner, Weebit brings its low-power, high-performance Resistive RAM (ReRAM or RRAM) technology to this dynamic community. For advanced edge AI chips, Weebit ReRAM provides the dense on-chip non-volatile memory (NVM) needed to store weights for artificial Neural Networks (NNs) with ultra-low power consumption that is critical for edge devices. It also scales to the smaller process geometries used in the fabrication of advanced AI SoCs.

Hi Hoppy,

3 months ago in the Roadmap, JT said that GenAI was available as FPGA and they expected silicon (ASIC) within 12 months. Either that was conservative, or GenAI has been prioritized.

To make GenAI semi-autonomous wrt the cloud, it may use RAG (Retrieval Augmented Generation) with a lot of auxiliary memory.

They talk about 1 billion parameters as a yardstick. Given that this could be up to FP32, that's quite a lot of memory for an edge device.

But, apart from that, the nodes will probably still be the TENNs 128 MAC arrays requiring (comparatively) very little adjustment to the tapeout. That said, I suppose that the MACs will need to be adjusted to handle FP32, and maybe that's where the ISA (Instruction Set Architecture) comes in. SO, ok, there will be a lot of tapeout work required*.


* I'm submitting this to Guinnes for the fastest self-contradiction ...

Has Marcus inadvertently spilled the beans?

 

[TECH]

Yes, this is off topic I know, BUT I have to comment on my AFL team the Brisbane Lions, congratulations guys and Chris Fagan
our coach, he reminds me of Peter, as in, a really caring individual who puts ego and self aside and considers others first, promotes
positivity and self-belief.

I've been a Brisbane supporter since around 1998, just before or around when Lee Matthews came on board as our coach, we were
around 15th or 16th on the ladder but went on to win the Premiership in 2001,2002 and 2003 and now under Fages we have secured
2024 and 2025, that's a brilliant achievement.

Over my years at the Joondalup Resort Golf Course in Perth I got to meet many Australian sporting heroes in Golf, Tennis, Cricket and
the AFL, including Alastair Lynch and Jason Akermanis of the Brisbane Lions, they love their golf, and I was quietly proud to meet them
on my own patch, so to speak.

So, I guess I have two loves currently, Brainchip and the Brisbane Lions ........ Tech.

 

[Frangipani]

ARQUIMEA Research Center’s neuromorphic vision solution for UAVs that deployed Akida with a Prophesee event-based sensor in a low power drone to detect distressed swimmers and surfers in the ocean and prevent drowning now officially has a name: MINERVA - Neuromorphic Vision for Safer Coasts!

“By 𝐫𝐞𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐧𝐞𝐮𝐫𝐚𝐥 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐢𝐧𝐠 𝐨𝐟 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐛𝐫𝐚𝐢𝐧 in silicon-based electronics, neuromorphic technology 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐯𝐢𝐬𝐮𝐚𝐥 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐡𝐢𝐠𝐡𝐞𝐫 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐥𝐨𝐰𝐞𝐫 𝐞𝐧𝐞𝐫𝐠𝐲 𝐜𝐨𝐧𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐥𝐚𝐭𝐞𝐧𝐜𝐲.
The system integrates multimodal sensing to perform classical computer vision tasks (localization, detection, classification) 𝐰𝐡𝐢𝐥𝐞 𝐨𝐯𝐞𝐫𝐜𝐨𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐨𝐟 𝐡𝐨𝐬𝐭𝐢𝐥𝐞 𝐜𝐨𝐚𝐬𝐭𝐚𝐥 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬. With this project, we 𝐚𝐝𝐯𝐚𝐧𝐜𝐞 𝐫𝐞𝐦𝐨𝐭𝐞 𝐜𝐨𝐚𝐬𝐭𝐚𝐥 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐨𝐟 𝐫𝐢𝐩 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐬.”

#robotics #arquimea #research #pulsarhri | Miguel L.

Hi Everyone! This is a short video showcasing some of our recent work in neuromorphic perception (thanks for bearing with me for a minute!). Our #robotics team is working on enabling more agile and efficient robots. That’s why we are pushing to disrupt robotic embodiment and...

www.linkedin.com

FYI: #PULSARHRI refers to an ARQUIMEA robotics project first presented at the Yokohama IEEE Conference on Robotics and Automation in May 2024 and not to Innatera’s Pulsar neuromorphic ultra-low power microcontroller revealed in May 2025…

ARQUIMEA presents its project "PULSAR HRI"

“PULSAR HRI” is a robotics project that ARQUIMEA has developed from its ARQUIMEA Research Center and presented for the first time. Keep reading!

www.arquimea.com

---

BrainChip’s previous press releases on this partnership:

cf. https://brainchip.com/brainchip-gives-the-edge-to-search-and-rescue-operations/

Brainchip x Prophesee

Enhancing Ocean Safety with 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...

brainchip.com

 

[Slymeat]

Thanks Benny,

I did have Weebit in mind for storing models when I mentioned the auxilliary memory.

https://www.weebit-nano.com/news/pr...n-to-advance-intelligent-systems-at-the-edge/

As a Strategic Partner, Weebit brings its low-power, high-performance Resistive RAM (ReRAM or RRAM) technology to this dynamic community. For advanced edge AI chips, Weebit ReRAM provides the dense on-chip non-volatile memory (NVM) needed to store weights for artificial Neural Networks (NNs) with ultra-low power consumption that is critical for edge devices. It also scales to the smaller process geometries used in the fabrication of advanced AI SoCs.


Has Marcus inadvertently spilled the beans?

Finally, hopefully!

I still believe that embedding Akida and ReRam in the same SoC is a marriage made in heaven. Maybe one day!