BRN Discussion Ongoing
- Thread starter TechGirl
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You should include Electric Vehicles - though they’ve been around since the 1800s, it only took Elon Musk to revive the industry... I mean, yes, it was accompanied by the tech advancements, but without Elon pushing the limits, petrol cars would probably still dominate...I guess if as expected Neuromorphic AI at the Edge experiences exponential growth and that BRN is currently a leader in the field then our patent value should be considerable.
It's likely that any new inventions that can perform the same tasks as Gen2/TENNs plus cover our roadmap could take years to prove out before being commercial.
See the table below showing the time it takes from invention to mass adoption. Timeframes are shortening but it looks like anything under 10 years for mass adoption would be seen as 'a rush'. Of course, there is some money to be made in the mid to later stages on the road to mass adoption.
The patent for AKIDA 1000 was granted in the US in October 2021 so mass adoption will not likely arrive until at the very least the 2030's.
Sean did say that the 'AI' revolution would eventually make the prior revolutions look like nothing.
Unfortunately it's just the way it is.
See the table below for estimates.
It took radio and TV at least three decades to go from invention to mainstream use. And once they proliferated, an entirely new sector—mass media—evolved, a key driver of globalization.
Year Invention Mass Adoption # of Years 1890s* Radio
1920 30 1920s* TV
1950 30 1970 Internet
1994 24 1971 1997 26 1973 Mobile Phones
2000 27 1994 Smartphones
2010 16 1996 USB
2005 9 2008 Blockchain
??? N/A 2017 Generative AI
??? N/A
EmailIMO ONLY DYOR
Liked by a brainchip employee, smells like akida.....
www.kneron.com
www.kneron.com
www.linkedin.com
Kneron – Full Stack Edge AI
Kneron, a leading provider of edge AI solutions, was founded in 2015 at San Diego, US. It is dedicated to design and development of integrated software and hardware edge AI solutions.
Edge AI | Kneron – Full Stack Edge AI
On-device edge AI is when AI computing and inferencing happens on-device rather than in cloud servers. Since edge devices have power and storage limitations, on-device AI inferencing requires striking a difficult, but vital balance of performance, power, and size. We are obsessed with innovating ...
Three Core Innovations Behind KNEO Pi 1. Native AI Power: Unleashing… | Jeffrey.yc Chen
Three Core Innovations Behind KNEO Pi 1. Native AI Power: Unleashing the “Brain” of Edge Devices KNEO Pi is powered by Kneron’s proprietary KDP-series Neural Processing Unit (NPU), offering up to 4 eTOPS of INT8 performance. Compared to CPU/GPU-based boards like Raspberry Pi, Kneron’s NPU...
smoothsailing18
Regular
Available in June $30,000
Fullmoonfever
Top 20
I see the Nomura Research Institute released a presso recently. If you can read Japanese or wish to translate you can find the doc HERE
I google translated the intro page and also another slide where we get mentioned further below.
Obviously across neuromorphic as well but not sure if any use of Akida itself yet as not deep dived.
390th NRI Media Forum
"IT Roadmap 2025 Edition"
March 25, 2025
Nomura Research Institute, Ltd.
DX Platform Business Division
IT Platform Technology Strategy Office
On a slide translated as below, we get a mention with other other neuromorphic players and example of us and the EQXX.
Beyond AI ASICs. The ultimate goal is neuromorphic computing
Neuromorphics mimic the neural circuits of the human brain. IBM and Intel are leading the research
Prototypes have appeared, but it is still in the basic research stage. In the future, it will be possible to expand the application of edge AI by taking advantage of its low power consumption feature
The human brain operates on approximately 20W. This is 1/10,000th of the power currently used for digital AI calculations.
NRI are part of the wider Nomura Group who also own Instinet Australia (Broker) who I posted about earlier this year as they popped up on a Broker scan buying some 1.2m shares. Not saying buy was for Nomura, could be any client, but never know I guess.
thestockexchange.com.au
Pevious post with links about a couple of our partners related to NEDO a Japanese Govt organisation which NRI is also linked with.
thestockexchange.com.au
Nomura Group
www.nomuraholdings.com
I google translated the intro page and also another slide where we get mentioned further below.
Obviously across neuromorphic as well but not sure if any use of Akida itself yet as not deep dived.
390th NRI Media Forum
"IT Roadmap 2025 Edition"
March 25, 2025
Nomura Research Institute, Ltd.
DX Platform Business Division
IT Platform Technology Strategy Office
On a slide translated as below, we get a mention with other other neuromorphic players and example of us and the EQXX.
Beyond AI ASICs. The ultimate goal is neuromorphic computing
Neuromorphics mimic the neural circuits of the human brain. IBM and Intel are leading the research
Prototypes have appeared, but it is still in the basic research stage. In the future, it will be possible to expand the application of edge AI by taking advantage of its low power consumption feature
The human brain operates on approximately 20W. This is 1/10,000th of the power currently used for digital AI calculations.
NRI are part of the wider Nomura Group who also own Instinet Australia (Broker) who I posted about earlier this year as they popped up on a Broker scan buying some 1.2m shares. Not saying buy was for Nomura, could be any client, but never know I guess.
BRN Discussion Ongoing
https://github.com/Brainchip-Inc/akida_examples/releases/tag/2.11.0-doc-1 Latest version of Akida docs states "Aligned with FPGA 1562(2-node)/1563(6-node)/1532(ViT)" Indicates three upcoming FPGAs: FPGA 1562(2-node) 1563(6-node) 1532(ViT)
thestockexchange.com.au
Pevious post with links about a couple of our partners related to NEDO a Japanese Govt organisation which NRI is also linked with.
BRN Discussion Ongoing
As far as AI goes, Helium is very light weight compared to Akida. Arm has previously built some test chips with partners including Samsung and Taiwan Semiconductor Manufacturing Co, largely aimed at enabling software developers to gain familiarity with new products. However, multiple industry...
thestockexchange.com.au
Nomura Group
Group Companies | NOMURA
Nomura Group companies, awards and latest achievements.
Pom down under
Top 20
Knock knock
smoothsailing18
Regular
Interesting new company supplying sensors/ device for IOT working with Verizon telecommunications in USA.
Encrypted for cybersecurity against even quantum computers.
Production in a few years times.
Talking to the inventor on the bus today in il of man on the way to TT race
Encrypted for cybersecurity against even quantum computers.
Production in a few years times.
Talking to the inventor on the bus today in il of man on the way to TT race
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Afternoon Chippers ,
This may give Boston Dynamics a run for their money .
techxplore.com
Regards,
Esq.
This may give Boston Dynamics a run for their money .
Robot navigates high-speed parkour with autonomous movement planning
A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group...
Regards,
Esq.
Rskiff
Regular
Remember when Lou said that the company was working with a major Tel co company. Many moons ago now
CHIPS
Regular
Cera - securing temperature sensing
C E RA is the world's first truly secure temperature sensor. Temperature readings are secure from the moment of measurement to remote readout.
www.cera.io
The videos on the page are at least 3 years old.
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MDhere
Top 20
As of March 25, 2025, there was a total of 891 confirmed moons in our solar system. Of those, 421 moons are orbiting planets (including Pluto). More than 470 moons are orbiting other dwarf planets, asteroids and trans-Neptunian objects.
That's a lot of many moons. Pretty sure that Akida is charting these 891 moons and will report back to us soon....
Bravo
If ARM was an arm, BRN would be its biceps💪!
Who's there?
#eventbasedvision #eyetracking #xr #neuromorphicimaging #augmentedreality… | James Wormald
👓 PROPHESEE and Tobii are merging event-based vision sensors with high-speed eye-tracking to enable ultra-low power XR headsets with real-time gaze-based interaction... By combining neuromorphic imaging with Tobii’s attention computing, the platform promises faster response times and reduced...
Neuromorphic Computing: Bridging the Gap Between AI and Human Intelligence | Nirvana Fanaelahi
Neuromorphic Computing: Revolutionizing Technology with Brain-Inspired Systems Neuromorphic computing is a cutting-edge field that designs computer systems inspired by the architecture and functionality of the human brain. Unlike traditional computing, which relies on the von Neumann...
Can SNNs be the future of AI? | Sabit Ahamed Preanto posted on the topic | LinkedIn
Can Spiking Neural Networks (SNNs) be the future of AI? Traditional artificial neural networks (ANNs) have driven incredible AI advancements, but Spiking Neural Networks (SNNs) take inspiration directly from biology to unlock new possibilities. Unlike ANNs, which rely on continuous activations...
Pom down under
Top 20
Bravo
If ARM was an arm, BRN would be its biceps💪!
Bugger! 
Embedded Computing Design
June 02, 2025
News
Image Credit: Innatera
According to Innatera, its Spiking Neural Processor (SNP) Pulsar is the world’s first mass-market neuromorphic microcontroller purpose-built to deliver intelligence directly to the sensor edge. Applying Spiking Neural Networks (SNNs), Pulsar allows real-time, ultra-low-power AI processing within compact form factors, nullifying the need for cloud connectivity.
It combines neuromorphic processing, a RISC-V core, and accelerators for CNN and signal processing ideal for wearables, smart sensors, and edge systems.
“Pulsar from Innatera impressed our board of judges with its focus on bringing intelligence to the edge, reducing latency, improving power efficiency, and enabling real field applications,” says Ken Briodagh, Editor in Chief of Embedded Computing Design. “The Best in Show awards look for innovation and forward-thinking technical engineering, and Pulsar certainly fits the bill with this neuromorphic step forward.”
embeddedcomputing.com
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025
By Chad Cox
Production EditorEmbedded Computing Design
June 02, 2025
News
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs) to enable real-time, ultra-efficient edge AI.
“We’re thrilled to receive this award,” says Sumeet Kumar, CEO, Innatera. “It’s a powerful validation, not just of the years of work our team has put into neuromorphic computing, but of the immense potential this technology holds. Pulsar is about making intelligence accessible at the edge, and this recognition highlights a broader shift across the industry toward smarter, more sustainable AI.”According to Innatera, its Spiking Neural Processor (SNP) Pulsar is the world’s first mass-market neuromorphic microcontroller purpose-built to deliver intelligence directly to the sensor edge. Applying Spiking Neural Networks (SNNs), Pulsar allows real-time, ultra-low-power AI processing within compact form factors, nullifying the need for cloud connectivity.
It combines neuromorphic processing, a RISC-V core, and accelerators for CNN and signal processing ideal for wearables, smart sensors, and edge systems.
“Pulsar from Innatera impressed our board of judges with its focus on bringing intelligence to the edge, reducing latency, improving power efficiency, and enabling real field applications,” says Ken Briodagh, Editor in Chief of Embedded Computing Design. “The Best in Show awards look for innovation and forward-thinking technical engineering, and Pulsar certainly fits the bill with this neuromorphic step forward.”
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025 - Embedded Computing Design
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs)...
Yoda
Regular
Bugger!
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025
By Chad Cox
Production Editor
Embedded Computing Design
June 02, 2025
News
Image Credit: Innatera
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs) to enable real-time, ultra-efficient edge AI.
“We’re thrilled to receive this award,” says Sumeet Kumar, CEO, Innatera. “It’s a powerful validation, not just of the years of work our team has put into neuromorphic computing, but of the immense potential this technology holds. Pulsar is about making intelligence accessible at the edge, and this recognition highlights a broader shift across the industry toward smarter, more sustainable AI.”
According to Innatera, its Spiking Neural Processor (SNP) Pulsar is the world’s first mass-market neuromorphic microcontroller purpose-built to deliver intelligence directly to the sensor edge. Applying Spiking Neural Networks (SNNs), Pulsar allows real-time, ultra-low-power AI processing within compact form factors, nullifying the need for cloud connectivity.
It combines neuromorphic processing, a RISC-V core, and accelerators for CNN and signal processing ideal for wearables, smart sensors, and edge systems.
“Pulsar from Innatera impressed our board of judges with its focus on bringing intelligence to the edge, reducing latency, improving power efficiency, and enabling real field applications,” says Ken Briodagh, Editor in Chief of Embedded Computing Design. “The Best in Show awards look for innovation and forward-thinking technical engineering, and Pulsar certainly fits the bill with this neuromorphic step forward.”
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025 - Embedded Computing Design
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs)...
Yoda
Regular
Bugger!
So, does this mean our '3 year lead' is now gone?
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025
By Chad Cox
Production Editor
Embedded Computing Design
June 02, 2025
News
Image Credit: Innatera
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs) to enable real-time, ultra-efficient edge AI.
“We’re thrilled to receive this award,” says Sumeet Kumar, CEO, Innatera. “It’s a powerful validation, not just of the years of work our team has put into neuromorphic computing, but of the immense potential this technology holds. Pulsar is about making intelligence accessible at the edge, and this recognition highlights a broader shift across the industry toward smarter, more sustainable AI.”
According to Innatera, its Spiking Neural Processor (SNP) Pulsar is the world’s first mass-market neuromorphic microcontroller purpose-built to deliver intelligence directly to the sensor edge. Applying Spiking Neural Networks (SNNs), Pulsar allows real-time, ultra-low-power AI processing within compact form factors, nullifying the need for cloud connectivity.
It combines neuromorphic processing, a RISC-V core, and accelerators for CNN and signal processing ideal for wearables, smart sensors, and edge systems.
“Pulsar from Innatera impressed our board of judges with its focus on bringing intelligence to the edge, reducing latency, improving power efficiency, and enabling real field applications,” says Ken Briodagh, Editor in Chief of Embedded Computing Design. “The Best in Show awards look for innovation and forward-thinking technical engineering, and Pulsar certainly fits the bill with this neuromorphic step forward.”
Innatera’s Neuromorphic Pulsar Microcontroller Takes Center Stage at COMPUTEX 2025 - Embedded Computing Design
In a company press release, Innatera announced its Pulsar neuromorphic microcontroller earned Best-in-Show in the Microcontrollers, Microprocessors & IP category at COMPUTEX 2025 by Embedded Computing Design. The honor identifies Pulsar’s innovative utilization of Spiking Neural Networks (SNNs)...
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