Fullmoonfever
Top 20
Not true....we could try reach out to Ben Kenobi
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Nah, But BRN will have a version that will run on Xilinx or Frontgrades FPGA chip.
I wonder what IP EDGE-AI will use for the other CPU chip. SiFive? Arm? Hopefully RISC-V.
On a good note Korea's well funded start-up Rebellions looks like it's targeting NVIDIA, no?
Bravo
Meow Meow 🐾
EDGEAI lists MDS Intelligence as a client on its website!
1.
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:
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:
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)
3.
4.
EDGEAI Website
MDS Intelligence article dated 10 Jan 2025
www.venturesquare.net
1.
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.
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
- 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)
3.
4.
EDGEAI Website
MDS Intelligence article dated 10 Jan 2025
MDS인텔리전스, CES 2025서 수도 원격 검침 기술 선보여
MDS인텔리전스가 CES 2025에서 AIoT 기술을 활용한 수도 원격 검침 솔루션 ‘래피드미터링’을 공개하며 스마트 관망관리 기술의 우수성을 세계에 알렸다.
www.venturesquare.net
Last edited:
jtardif999
Regular
Nothing to do with AKD2500 (the chip BrainChip is fabricating); this is an IP deal regarding the Akida2.0 RTL being laid down as IP in EDGEAI chips
.Do you always refer to yourself in the third person, or just for manipulation purposes?
Tothemoon24
Top 20
Beyond the Frame: How Neuromorphic Vision is Rewiring Motorsport
Picture the Mulsanne Straight at 3:00 AM. A prototype hurtles through the darkness at 330 kilometers per hour.
More to this in the link
Furthermore, in series like the World GT Challenge, the dynamic between professional and amateur driver lineups demands highly robust, intuitive traffic management. The low-power, high-speed nature of neuromorphic vision provides a distinct advantage. Teams can deploy highly accurate spatial awareness and collision warning systems that do not require the massive, heat-generating processing units usually required to run complex machine vision models.
The transition from frame-based cameras to event-based sensors represents the death of visual latency in automotive engineering. We are moving away from race cars that merely record their environment, toward machines that possess genuine, biological reflexes. For constructors competing at the bleeding edge, embracing this approach to silicon is no longer just about building a smarter vehicle. It is about building a machine whose perception finally matches its velocity.
Schwale
Regular
To answer your questionWhy was below information about EDGEAI’s plans to integrate Akida 2 IP into their next generation of smart metering solutions not included in today’s earlier ASX price-sensitive announcement about EDGEAI licensing Akida 2 IP??
Looks like yet another unnecessary slip-up…
“This license focuses on the integration of BrainChip’s Akida™ 2 IP into EDGEAI’s forthcoming SoC product line, with a primary initial application in the next generation of "Rapid Metering" solutions.
Revolutionizing Utility Infrastructure with Akida 2under the agreement, BrainChip will provide EDGEAI with access to its Akida™ 2 neuromorphic IP. This technology will serve as the core intelligence for EDGEAI’s ultra-low-power ICs, designed to meet the rigorous energy constraints of industrial and consumer endpoint devices. The collaboration enables a significant leap from existing automated meter reading (AMR) technologies to truly intelligent, edge-native systems.
Key Use Case: "Rapid Metering" The primary commercial target for this collaboration is the "Rapid Metering" business. Currently, standard metering solutions in production operate without AI capabilities. The license with BrainChip and EDGEAI provides the efficiency required for full-scale commercialization.
The upcoming commercialized version will utilize the Akida-powered EDGEAI chip to provide advanced AI metering functions for water, gas, and electricity meters. This modular design features a universal communication box paired with specific camera modules tailored to each utility type.
(…) “The ‘Rapid Metering’ project represents a significant market opportunity that demands extreme energy efficiency,” said JW Yang, CEO of EDGEAI. “By integrating BrainChip’s Akida 2 technology, we are able to move beyond previous limitations to deliver a commercially viable solution that drastically reduces battery requirements.”
EDGEAI to Revolutionize Smart Metering with BrainChip Akida 2 License
NEWS PROVIDED BY
Brainchip
March 30, 2026, 13:00 GMT
SHARE THIS ARTICLE
[T]he collaboration enables a significant leap from existing automated meter reading (AMR) technologies to truly intelligent, edge-native systems.
Brainchip Limited Holding Co (ASX:BRN)
We are excited to license Akida 2 to EDGEAI as they bring their next generation AI solutions with neuromorphic computing and the unique advantages delivered by our Akida technology.”
— Sean Hehir, CEO of BrainChip
LAGUNA HILLS, CA, UNITED STATES, March 30, 2026 /EINPresswire.com/ -- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of neuromorphic artificial intelligence technology, announces it has entered into a technology licensing agreement with EDGEAI, a Korea-based semiconductor company specializing in high-efficiency AI processors. This license focuses on the integration of BrainChip’s Akida™ 2 IP into EDGEAI’s forthcoming SoC product line, with a primary initial application in the next generation of "Rapid Metering" solutions.
Revolutionizing Utility Infrastructure with Akida 2under the agreement, BrainChip will provide EDGEAI with access to its Akida™ 2 neuromorphic IP. This technology will serve as the core intelligence for EDGEAI’s ultra-low-power ICs, designed to meet the rigorous energy constraints of industrial and consumer endpoint devices. The collaboration enables a significant leap from existing automated meter reading (AMR) technologies to truly intelligent, edge-native systems.
Key Use Case: "Rapid Metering" The primary commercial target for this collaboration is the "Rapid Metering" business. Currently, standard metering solutions in production operate without AI capabilities. The license with BrainChip and EDGEAI provides the efficiency required for full-scale commercialization.
The upcoming commercialized version will utilize the Akida-powered EDGEAI chip to provide advanced AI metering functions for water, gas, and electricity meters. This modular design features a universal communication box paired with specific camera modules tailored to each utility type.
Significant Benefits and Market Focus The integration of neuromorphic technology offers transformative benefits for utility providers:
• Extreme Battery Optimization: The ultra-low-power consumption of the Akida architecture allows for a massive reduction in battery requirements. This enables manufacturers to either eliminate one of the two batteries currently used in design or significantly reduce the overall battery size, leading to smaller, more cost-effective devices while providing 8 years of operating life.
• Target Market Expansion: Production is specifically targeted at the Japanese market, where the demand for efficient, long-life automated utility infrastructure is accelerating.
• Real-Time Intelligence: By processing data at the point of acquisition via camera modules, the solution provides accurate, real-time data without the latency or energy costs associated with cloud processing.
“The ‘Rapid Metering’ project represents a significant market opportunity that demands extreme energy efficiency,” said JW Yang, CEO of EDGEAI. “By integrating BrainChip’s Akida 2 technology, we are able to move beyond previous limitations to deliver a commercially viable solution that drastically reduces battery requirements.
This collaboration ensures that our silicon remains at the forefront of the global transition toward intelligent, sustainable edge infrastructure.”
“We are excited to license Akida 2 to EDGEAI as they bring their next generation AI solutions to market. This agreement reflects the growing global demand for neuromorphic computing and the unique advantages delivered by our Akida technology.” said Sean Hehir, CEO of BrainChip. “Together, we are enabling smarter, more efficient edge devices that can operate with exceptionally low power while supporting sophisticated on device intelligence.”
The commercial terms of the agreement include access to Akida IP, integration documentation, development tools, and engineering assistance to support EDGEAI through the design and integration phases. Compensation to BrainChip includes an upfront license fee and subsequent royalties based on the production volume of EDGEAI’s SoC products.
About EDGEAI: EDGEAI is a Korea-based semiconductor company at the forefront of the AI revolution, providing high-efficiency AI processors for a variety of edge and endpoint applications, including industrial IoT, consumer electronics, and intelligent mobility systems.
Explore more at (www.edge-ai.kr)
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables.
Explore more at www.brainchip.com.
Follow BrainChip: Twitter: https://www.twitter.com/BrainChip_inc LinkedIn: https://www.linkedin.com/company/7792006
Investor Contact IR@brainchip.com
Madeline Coe
BoSpar Communications
9497840040 ext.
email us here
Visit us on social media:
Bluesky
YouTube
X
Legal Disclaimer:
EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
"
Why was below information about EDGEAI’s plans to integrate Akida 2 IP into their next generation of smart metering solutions not included in today’s earlier ASX price-sensitive announcement about EDGEAI licensing Akida 2 IP??
Looks like yet another unnecessary slip-up…"
Just a thought but could it be that this information was omitted because they don't want the share price to run before another LDA capital call notice is finalised....
for some reason it looks like share price is being suppressed and held around the 14cent mark.
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:
The system reportedly achieves over 99.5% recognition accuracy when interpreting meter readings.
- 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.
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:
If the architecture were edge AI, the sequence would normally look more like:
- camera → transmit image → AI analysis → digital reading
- 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)
View attachment 96723
3.
View attachment 96724
4.
EDGEAI Website
MDS Intelligence article dated 10 Jan 2025
MDS인텔리전스, CES 2025서 수도 원격 검침 기술 선보여
MDS인텔리전스가 CES 2025에서 AIoT 기술을 활용한 수도 원격 검침 솔루션 ‘래피드미터링’을 공개하며 스마트 관망관리 기술의 우수성을 세계에 알렸다.
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:
The system reportedly achieves over 99.5% recognition accuracy when interpreting meter readings.
- 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.
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:
If the architecture were edge AI, the sequence would normally look more like:
- camera → transmit image → AI analysis → digital reading
- 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)
View attachment 96723
3.
View attachment 96724
4.
EDGEAI Website
MDS Intelligence article dated 10 Jan 2025
MDS인텔리전스, CES 2025서 수도 원격 검침 기술 선보여
MDS인텔리전스가 CES 2025에서 AIoT 기술을 활용한 수도 원격 검침 솔루션 ‘래피드미터링’을 공개하며 스마트 관망관리 기술의 우수성을 세계에 알렸다.
You nailed it Bravo, love ur work !
1+1=2
I wonder if we (Brainchip) chose to leave certain comment/s out of the ASX announcement yesterday, that magically appear in other print and social media formats, that's a question I would like presented at the AGM, I don't believe it was a mistake, but rather a premeditated move, which leaves a number of questions for shareholders to ponder.
"We aren't looking at moving to the US market, we could have been referring to the UK or Europe or the Canadian market"
Trust is the most valuable commodity when
looking to get re-elected, shareholders don't like being taken for fools..1 strike from me.
More signings coming, in my opinion, yes.
Tech
Marvell acquires Celestial AI for $5.5 billion to scale up optical interconnects - Optical Connections News
While Celestial and Brainchip do not compete they both have unique tech.
Celestial eases and in some cases solves issues with Traditional AI bandwidth, latency, distance, and power limits of electrical interconnects in modern AI hardware.
Brainchip is solving the compute per watt bottleneck, latency issues and provides adaptable on chip learning which has been missing.
It shows that companies are paying big overs for tech that will give it leadership and a way to grow.
There is no doubt that Neuromorphic Edge AI is growing exponentially and that Brainchip is the current leader.
Kevin Johnson, IBM is giving us a glimpse of how huge our market could be. We think in terms of individual assets, eg wearables, Drones, Autos, robots etc ( collectively huge) but Kevin shows how we can improve large systems materially.
We are getting closer day by day.
A potential Brainchip buyer is bidding for tech leadership, sustainable industry growth and sustainable long term growth returns.
AKD1500 silicon shows a move towards commercialization - pre IP.
AKD 2500 demo chips available from Q3'26.
AKIDA Cloud allowing a move to prototype in quick time. See Episode 40 Arquimea interview with Brainchip. They were early AKIDA Could/FGPA testers and are looking forward to the AKD2500 demo chips for their robotics.
Chips sold to Parsons with a contract for volumes. Bascom Hunter has a prototype.
Onsor launching Nexa this year.
Raytheon tests for radar with USAFRL.
Licenses with Frontgade and EDGEAI.MetaGuard now commercial.
Megachips demonstrating robots since Sept'25.
BrainChip Partners with Chelpis Mirle on AI Security SoC
" Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000. "
There is more, plenty more.
While Celestial and Brainchip do not compete they both have unique tech.
Celestial eases and in some cases solves issues with Traditional AI bandwidth, latency, distance, and power limits of electrical interconnects in modern AI hardware.
Brainchip is solving the compute per watt bottleneck, latency issues and provides adaptable on chip learning which has been missing.
It shows that companies are paying big overs for tech that will give it leadership and a way to grow.
There is no doubt that Neuromorphic Edge AI is growing exponentially and that Brainchip is the current leader.
Kevin Johnson, IBM is giving us a glimpse of how huge our market could be. We think in terms of individual assets, eg wearables, Drones, Autos, robots etc ( collectively huge) but Kevin shows how we can improve large systems materially.
We are getting closer day by day.
A potential Brainchip buyer is bidding for tech leadership, sustainable industry growth and sustainable long term growth returns.
AKD1500 silicon shows a move towards commercialization - pre IP.
AKD 2500 demo chips available from Q3'26.
AKIDA Cloud allowing a move to prototype in quick time. See Episode 40 Arquimea interview with Brainchip. They were early AKIDA Could/FGPA testers and are looking forward to the AKD2500 demo chips for their robotics.
Chips sold to Parsons with a contract for volumes. Bascom Hunter has a prototype.
Onsor launching Nexa this year.
Raytheon tests for radar with USAFRL.
Licenses with Frontgade and EDGEAI.MetaGuard now commercial.
Megachips demonstrating robots since Sept'25.
BrainChip Partners with Chelpis Mirle on AI Security SoC
" Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000. "
There is more, plenty more.
#artificialintelligence #edgeai #neuromorphiccomputing #computervision #spacetech #defensetech #aerospace #satellitetechnology #uav #dronetechnology #surveillancesystems #eventdetection… | Ila Patel
In mission-critical environments, delays aren’t acceptable. Traditional cloud-based AI creates latency, bandwidth challenges, and operational risks especially in defense and space systems where real-time response is crucial. We help organizations build edge-first event detection systems powered...
What’s this about? Posted by Steve B.
www.linkedin.com
Seeing FrontGrade Gaisler's space-bound GR801 chip (Great one!) RISC-V + Brainchip's neuromorphic AI taking shape and imagining what this can lead to is exciting! | Steve Brightfield
Seeing FrontGrade Gaisler's space-bound GR801 chip (Great one!) RISC-V + Brainchip's neuromorphic AI taking shape and imagining what this can lead to is exciting!
I think I may have just fallen for an April fool’s jokeWhat’s this about? Posted by Steve B.
View attachment 96730Seeing FrontGrade Gaisler's space-bound GR801 chip (Great one!) RISC-V + Brainchip's neuromorphic AI taking shape and imagining what this can lead to is exciting! | Steve Brightfield
Seeing FrontGrade Gaisler's space-bound GR801 chip (Great one!) RISC-V + Brainchip's neuromorphic AI taking shape and imagining what this can lead to is exciting!
View attachment 96729
Similar threads
