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7For7

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🤭 Application for quotation of securities


07/0/12025 😣

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JDelekto

Regular
Rudy Pei, whom many of us will remember from his time at BrainChip and who now works at NVIDIA, made the following comment on Kevin Johnson’s latest LinkedIn post about 40 minutes ago:

"I feel like there's a potential for an event-driven Claw bot here if the edge-sensing pipeline and the text-query inference pipeline both read and write against the same Foundry operational memory.'

I asked ChatGPT what it makes of this comment and found the response quite interesting. It suggests the idea Rudy is hinting at is actually very sophisticated - potentially pointing toward sensor-driven AI agents, where event-driven sensing and higher-level inference share a common operational memory layer.

It also notes that the fact Rudy is publicly engaging with Akida-related work implies he still considers the architecture technically relevant.

ChatGPT content below - so all the usual warnings apply.
<----- snip ----->

The Clawbot to which he is referring to is an autonomous agent, specifically OpenClaw, an open source project that can act as an agent on your behalf, which can connect to one of the many LLM providers (or even work locally using Ollama).


We use Claude Code at work (Anthropic's product), and I've been using some open source alternatives, like Open Code and Pi Agent (which is OpenClaw's core engine) with Ollama at home.

These are some very cool AI tools and can be used to automate a lot of manual tasks. Unlike regular "chat" bots, these tools use LLM, but have coding behind them to make them a lot more powerful and functional.
 
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Bravo

Meow Meow 🐾
EDGEAI lists MDS Intelligence as a client on its website!


1.
View attachment 96721


On its own website, MDS Intelligence lists RapidMetering as one of its core digital-transformation products.

The product is described as a remote water-metering solution designed to improve environments where analog meters are still in use, ntended to reduce or eliminate manual meter reading.

Technically, the system works by:
  • capturing images of analog meter dials using a camera
  • transmitting those images to a server
  • using AI / deep-learning analysis to convert the images into digital meter readings.
The system reportedly achieves over 99.5% recognition accuracy when interpreting meter readings.

An important detail is that RapidMetering today does not appear to rely on a custom AI chip. The AI processing seems to occur off the device, as the article describes the sequence as:
  • camera → transmit image → AI analysis → digital reading
If the architecture were edge AI, the sequence would normally look more like:
  • camera → local AI inference → send meter reading

I suppose moving the AI inference to the edge would offer several advantages inlcuding lower bandwidth, faster response times and reduced cloud compute costs.

For that reason, I think it is quite plausible that EDGEAI could be developing a chip intended to move this type of AI inference from the cloud to the edge.

The name “RapidMetering” used by MDS and the phrase “Rapid Meter” in the BrainChip announcement may therefore not be a coincidence.
Nor might the reference to an 8-year battery life, which appears consistent with the durability mentioned for the RapidMetering system.







2. Extract from MDS article dated 10 Jan 2025 (full article linked below)


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3.
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4.




EDGEAI Website


MDS Intelligence article dated 10 Jan 2025



In relation to the above post…

I just discovered that in October 2023, MDS Intelligence signed an MOU with SoftBank to expand AIoT and remote-metering solutions globally.

Under that agreement MDS planned to expand its AIoT technologies (including remote metering) to SoftBank’s customers in Japan and other international markets. The goal was to combine MDS’s AIoT solutions and remote-metering technologies with SoftBank’s IoT communications infrastructure.

I can't find any other recent public announcements confirming new joint projects beyond that 2023 MOU, however, the agreement itself was designed to enable the global expansion of MDS metering solutions, particularly in Japan, and leverage SoftBank’s IoT connectivity ecosystem.

Partnership agreements like this typically run for several years, so the collaboration likely still exists, even if there haven’t been any recent press releases.

What makes this interesting IMO is SoftBank’s broader IoT strategy in Japan, which could help explain why the BrainChip / EDGEAI announcement specifically referenced targeting the Japanese market.

Japan is an attractive first market because utilities and municipalities invest heavily in infrastructure, IoT networks are already widely deployed, and long-life devices (8–10 years/ thinking of the reference long-life battery devices of around eight years) are common in infrastructure deployments. SoftBank’s IoT ecosystem is particularly strong in this area.



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buena suerte :-)

BOB Bank of Brainchip
In relation to the above post…

I just discovered that in October 2023, MDS Intelligence signed an MOU with SoftBank to expand AIoT and remote-metering solutions globally.

Under that agreement MDS planned to expand its AIoT technologies (including remote metering) to SoftBank’s customers in Japan and other international markets. The goal was to combine MDS’s AIoT solutions and remote-metering technologies with SoftBank’s IoT communications infrastructure.

I can't find any other recent public announcements confirming new joint projects beyond that 2023 MOU, however, the agreement itself was designed to enable the global expansion of MDS metering solutions, particularly in Japan, and leverage SoftBank’s IoT connectivity ecosystem.

Partnership agreements like this typically run for several years, so the collaboration likely still exists, even if there haven’t been any recent press releases.

What makes this interesting IMO is SoftBank’s broader IoT strategy in Japan, which could help explain why the BrainChip / EDGEAI announcement specifically referenced targeting the Japanese market.

Japan is an attractive first market because utilities and municipalities invest heavily in infrastructure, IoT networks are already widely deployed, and long-life devices (8–10 years/ thinking of the reference long-life battery devices of around eight years) are common in infrastructure deployments. SoftBank’s IoT ecosystem is particularly strong in this area.



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Another great post Bravo....🙏

Feeling it!!

Bought more at 15c today :)

Cheers and Good Luck all

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7For7

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Doz

Regular
In relation to the above post…

I just discovered that in October 2023, MDS Intelligence signed an MOU with SoftBank to expand AIoT and remote-metering solutions globally.

Under that agreement MDS planned to expand its AIoT technologies (including remote metering) to SoftBank’s customers in Japan and other international markets. The goal was to combine MDS’s AIoT solutions and remote-metering technologies with SoftBank’s IoT communications infrastructure.

I can't find any other recent public announcements confirming new joint projects beyond that 2023 MOU, however, the agreement itself was designed to enable the global expansion of MDS metering solutions, particularly in Japan, and leverage SoftBank’s IoT connectivity ecosystem.

Partnership agreements like this typically run for several years, so the collaboration likely still exists, even if there haven’t been any recent press releases.

What makes this interesting IMO is SoftBank’s broader IoT strategy in Japan, which could help explain why the BrainChip / EDGEAI announcement specifically referenced targeting the Japanese market.

Japan is an attractive first market because utilities and municipalities invest heavily in infrastructure, IoT networks are already widely deployed, and long-life devices (8–10 years/ thinking of the reference long-life battery devices of around eight years) are common in infrastructure deployments. SoftBank’s IoT ecosystem is particularly strong in this area.



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View attachment 96735

1NCE ,

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sb182

Member
Hi SC,

I care, I care alot!!!

Because I have alot of $$$ invested. I want clarity from the people I employ, to provide me with the information I require to judge on their performance going forward.

Not Asking much?????

Edit.........................


Or given the toads on this site......

Am I asking too much??????????
Sorry to say, but we the shareholders do not employ people, we are just the investors or
gamblers, it is up to the Company to employ.
 
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Bravo

Meow Meow 🐾
If you had told me years ago that I would be happy to see our share price reach 15.5 cents, I would have thought you were cray-cray!



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7For7

Regular
If you had told me years ago that I would be happy to see our share price reach 15.5 cents, I would have thought you were cray-cray!



View attachment 96748

Same here 😂 Imagine we close at 16 cents today. I would probably call my Lambo dealer and tell him not to cancel the order… unless it becomes an oldtimer before I can finally pay for it 😂
 
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7For7

Regular
Hmmm interesting



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Diogenese

Top 20
Hmmm interesting



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Playing 50 games simultaneously (after having learned the rules from watching game play) shows how powerful the combination of Akida 1 and Symphony is. What will Akida 2 and Symphony do (any day now)?

Surely the company is in contact with Kevin? He's gotta be first cab off the rank with Akida 2500 ASIC.
 
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jtardif999

Regular
Hi Hop,

I was also on the live feed, enjoyed listening to Coby then switched off until Sean appeared, I felt he was a little rushed, though nobody
was insisting he speed through his presentation, he came across solid and assertive, has reconfirmed the company's view of increased
revenue slowly increasing 2026 through 2028, which really ties in with how things are currently tracking...AKD 3.0 by years end, further
extending our runway into the 2030's in my opinion.

I remain positive, pity my holding has been reduced through financial pressures, but intend hanging on as long as possible.

Kind regards......Tech (Chris) (y);)
Same boat as you, but figure if BRNs trajectory plays out from here the way it looks it will then having even half the number of shares as now will be more than enough by 2030.
 
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manny100

Top 20
Hmmm interesting



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Thanks, its interesting that Megachips use both Quadric and AKIDA in their demonstration robots. Quadric for its strong infererence capabilities ( Vision, sensors, heavy compute tasks) and AKIDA for on chip learning, event based, lightening reflexes and anomaly detection, low‑latency.
Keven will enjoy combining Quadric, AKIDA and Symphony and others.
 
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