BRN Discussion Ongoing
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7für7
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Found this.. not Brainchip related but interesting
jp.ubuntu.com
Arm and intel partner
canonical.com
Ubuntu
Ubuntuは、デスクトップPCやクラウド、インターネットに接続されたあらゆる機器まで、すべての環境において動作可能なオープンソースのソフトウェアオペレーティングシステムです。
jp.ubuntu.com
Arm and intel partner
Silicon Programme | Partners | Canonical
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Quiltman
Regular
Follow up on my last post Frangipani, I notice that Tata referred to our news releases in 2019. It is possible that Tata were playing with AKIDA a couple of years before the 14/12/22 patent application date. Maybe 4 or 5 years this year?
Very interesting. Well i guess Tata are huge so a deal could be huge?
Frangipani
Top 20
You beat me to it.
Hélder Rodríguez has in fact liked two BrainChip posts over the past couple of days and may even have visited our booth in person, given he had posted about intending to attend Embedded World 2025 earlier.
Then again, he has also liked several posts by other companies in the neuromorphic space (Innatera, Prophesee and Femtosense).
I’ve had ARQUIMEA on my watch list for quite some time, given they’ve been doing neuromorphic research for years, even though the following passage on their website (https://www.arquimea.com/) always made me wonder if there was a chance at all of getting our foot in the door:
“We are a tech company that operates in high-demanding sectors to contribute to the development and progress of society. At ARQUIMEA we provide innovative solutions based on proprietary technologies.”
Anyway, Hélder Rodríguez recently co-authored an interesting conference paper involving a potentially life-saving use case that I wanted to share: real-time beach monitoring with UAVs and computer vision, assisting human lifeguards (even though the thought of UAVs constantly hovering above beachgoers is a rather eerie one, to be honest…)
Fair enough
Bravo
If ARM was an arm, BRN would be its biceps💪!
Hey All,
I was just looking back at Pitt Street's Research from August 2021.
I thought it might be useful to see what they reported back then to see if we think we're tracking in the right direction.
I noticed it states "BRN has a distinct competitive advantage over its peers as learning is autonomous in Akida chips. Various other neural networks developed by peers, such as Intel and IBM, still require either software code or human interaction to learn". And "Loihi lacks convolution so running CNN’s on Loihi is very inefficient. Adding to the inefficiency is Loihi’s learning method, SLAYER, a slow, modified version of error back-propagation."
I don't know the technicalities well enough to judge if the above statement still holds true, so thought it would be a good question for the wider community to comment on.
All genuinely insightful thoughts are welcome.
I was just looking back at Pitt Street's Research from August 2021.
I thought it might be useful to see what they reported back then to see if we think we're tracking in the right direction.
I noticed it states "BRN has a distinct competitive advantage over its peers as learning is autonomous in Akida chips. Various other neural networks developed by peers, such as Intel and IBM, still require either software code or human interaction to learn". And "Loihi lacks convolution so running CNN’s on Loihi is very inefficient. Adding to the inefficiency is Loihi’s learning method, SLAYER, a slow, modified version of error back-propagation."
I don't know the technicalities well enough to judge if the above statement still holds true, so thought it would be a good question for the wider community to comment on.
All genuinely insightful thoughts are welcome.
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Say it again
Bravo
If ARM was an arm, BRN would be its biceps💪!
Seeing as there is a rare lunar event occurring this evening in Australia, where the moon will be flooded with a red light, I thought it might be fun to randomly select a post and see what it might turn up.
Here's where my randomness took me, which weirdly enough was and FMF post (FullMoonForever).
I must admit I was quite surprised to find that Sunny Bains actually asks the question about how much consolidation will occur in the next few years and then goes on to talk about Prophesee, Qualcomm and BrainChip.
.
Here's where my randomness took me, which weirdly enough was and FMF post (FullMoonForever).
I must admit I was quite surprised to find that Sunny Bains actually asks the question about how much consolidation will occur in the next few years and then goes on to talk about Prophesee, Qualcomm and BrainChip.
.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Speaking of smart glasses, what have we here?
Fortiss is actively developing smart glasses prototypes incorporating neuromorphic technology through their EMMANÜELA project, which focuses on energy-efficient human-machine interaction in augmented and virtual reality (AR/VR) settings. This initiative leverages neuromorphic sensor technology and computing to enhance immersive digital experiences.
Can't find anything to suggest a direct collaboration between Fortiss and BrainChip at this time, so will keep it on the watch list.
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Neuromorphic computing creates an immersive digital experience
In the EMMANÜELA project, fortiss is researching the use of neuromorphic sensor technology and neuromorphic computing in AR/VR. The aim is to investigate the potential of these technology-inspired approaches for augmented digital worlds and to open up new application possibilities.www.fortiss.org
Let's hope we'll be "seeing" some AR glasses soon from Fortiss, as above?
Frangipani
Top 20
Guess what - I just found out that Axel von Arnim and Jules Lecomte merely pretend to be neuromorphic researchers at fortiss and that our gullible BrainChip staff fell for this scam when partnering with them!
In reality, the two of them are robots, as this photo proves…
𝗳𝗼𝗿𝘁𝗶𝘀𝘀 𝗮𝘁 𝘁𝗵𝗲 𝟭𝘀𝘁 𝗚𝗲𝗿𝗺𝗮𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀… | fortiss
𝗳𝗼𝗿𝘁𝗶𝘀𝘀 𝗮𝘁 𝘁𝗵𝗲 𝟭𝘀𝘁 𝗚𝗲𝗿𝗺𝗮𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲! 🤖 From Wednesday to Saturday this week, the 1st German Robotics…
Are you aware, by the way, that the Fraunhofer-Gesellschaft is also recognised as a non-profit research organisation in Germany?
Fraunhofer-Gesellschaft: Innovating German Research
Explore Fraunhofer-Gesellschaft's pioneering research in Germany. Discover its projects and global impact today.
BrainShit
Regular
FPGAs are favored for their flexibility, low power consumption, and ability to adapt to evolving system needs.
They used for a wide range of applications due to their reprogrammability and parallel processing capabilities. Key uses include:
- Hardware Acceleration: Boosting computational performance in areas like AI, machine learning, cryptography, and scientific computing.
- Digital Signal Processing (DSP): High-speed tasks like signal modulation, filtering, and real-time image processing in radar and communication systems.
- Embedded Systems: Customizing systems-on-a-chip for applications in automotive, aerospace, and consumer electronics.
- Prototyping: Rapid development and testing of application-specific integrated circuits (ASICs).
- Medical Imaging: Supporting complex tasks such as MRI segmentation and tomographic reconstruction.
- Telecom and 5G: Handling dynamic requirements in communication systems.
- Edge Computing & Robotics: Enabling AI inferencing and secure system control in industrial automation.
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CHIPS
Regular
If you are not representing your company at trade fairs, you are almost dead or do not exist! It is a MUST to be there because that is the place where people and potential customers browse and stop by.
Frangipani
Top 20
#riscv #spacecomputing | RISC-V in Space
Visit our Gold Sponsor BrainChip in their booth where they will be ready to discuss their latest technologies! BrainChip is the worldwide leader in edge AI…www.linkedin.com
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www.risc-v.space
Workshop schedule on 2 April:
Bravo
If ARM was an arm, BRN would be its biceps💪!
Not sure if this is new. A brief promo video on the Qauntum Ventura website.
www.quantumventura.com
What do we do
www.quantumventura.com
Good point I think.
Newk R
Regular
Not sure if this is new. A brief promo video on the Qauntum Ventura website.
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What do we do
Continuing the theme:
https://www.quantumventura.com/cyberneuro-rt
CyberNeuro-RT
An IoT, AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool with CPU, GPU or low-power neuromorphic chip deployment
...
I'd like to see Akida in a USB stick.
Smoothsailing
Regular
I sent them an email asking can my company purchase neuromorphic usb sticks but no response yet
White Horse
Regular
Nice article.
https://www.linkedin.com/pulse/lets-stop-messing-around-big-shots-join-edge-ai-community-iotstars-nwv6f/?trackingId=E7mxd9GDVk+rAelQrVQmZg==
The State of Edge AI – panel at IoT Stars
2,528 followers
March 14, 2025
It’s no secret that Edge AI is a hot topic, arguably the main theme of last week's embedded world Exhibition&Conference in Nuremberg, Germany.
The biggest buzz on the conference floor? Edge Impulse's acquisition by Qualcomm! Would this mean that the technology is moving beyond its infancy and into industry adoption?
“This year’s insane!” cried Zach Shelby, reacting to the sheer number of real Edge AI projects on display. While Edge Impulse may be ahead of the curve, it’s clear that the Edge AI space is moving fast. A year ago, a conversation about “the state of Edge AI” might have felt like an echo chamber where people could only talk about a handful of Edge AI applications which barely moved beyond its POC stage. This year is different. It seemed like every exhibitor at Embedded World had a real Edge AI story to share, primarily focused on computer vision, built without powerful, energy-draining and expensive GPUs. Instead, exhibitors showcased low-resolution cameras connected to inexpensive, battery-powered microcontrollers, running ultra-fast models with minimal latency and energy consumption
The Edge AI community is flourishing, with more developers than ever gaining access to free AI models. But the real bottleneck to adoption isn’t the models, it’s the quality of the data.
Companies have been collecting data for decades, yet much of it can be completely thrown away. Many data sets are sampled, aggregated or lack clear context on what happened when that data was collected, making them useless for training AI models. “We need good data from real sensor as close to the real deployments as possible.” Shelby underscores the need for best practices to enable people to collect high quality data and more collaboration centered around data; we need to find better ways to crowdsource, collect and share data.
The threshold to getting started might seem low, but we’re mostly talking to the same group of embedded developers who’re actually putting Edge AI to use. “It’s an engineering party, hosted in an ivory tower” as Fabio Violante, CEO of Arduino put it. We need to open up, bringing in more creativity.
“What’s the hello world of AI?” asked Brandon Satrom from Blues. “It’s chatbots!” And if there’s anything we don’t need more of, it’s chatbots, which won’t work on MCU-based devices anyway. Put that Raspberry Pi away and stop running Ollama. Look beyond chatbots and start implementing sensor-driven applications which solve real problems. As Violante nicely put it “Edge AI is there to solve problems, not the other way around”
The industry is at a turning point with big shots investing heavily. Now is the time to define best practices, share experiences and crowdsource high quality data. Could this be the moment for the EDGE AI FOUNDATION to take the lead?
Let’s stop messing around and start solving real problems using a technology that has proven itself.
Laurens Slats from IoT Stars
Based on the conversation with Pete Bernard, Zach Shelby , Brandon Satrom , and Fabio Violante.
https://www.linkedin.com/pulse/lets-stop-messing-around-big-shots-join-edge-ai-community-iotstars-nwv6f/?trackingId=E7mxd9GDVk+rAelQrVQmZg==
The State of Edge AI – panel at IoT Stars
Let’s stop messing around, big shots join the Edge AI community
IoT Stars
2,528 followers
March 14, 2025
It’s no secret that Edge AI is a hot topic, arguably the main theme of last week's embedded world Exhibition&Conference in Nuremberg, Germany.
The biggest buzz on the conference floor? Edge Impulse's acquisition by Qualcomm! Would this mean that the technology is moving beyond its infancy and into industry adoption?
The Edge AI space is moving fast
“This year’s insane!” cried Zach Shelby, reacting to the sheer number of real Edge AI projects on display. While Edge Impulse may be ahead of the curve, it’s clear that the Edge AI space is moving fast. A year ago, a conversation about “the state of Edge AI” might have felt like an echo chamber where people could only talk about a handful of Edge AI applications which barely moved beyond its POC stage. This year is different. It seemed like every exhibitor at Embedded World had a real Edge AI story to share, primarily focused on computer vision, built without powerful, energy-draining and expensive GPUs. Instead, exhibitors showcased low-resolution cameras connected to inexpensive, battery-powered microcontrollers, running ultra-fast models with minimal latency and energy consumption
Real data, real sensors
The Edge AI community is flourishing, with more developers than ever gaining access to free AI models. But the real bottleneck to adoption isn’t the models, it’s the quality of the data.
Companies have been collecting data for decades, yet much of it can be completely thrown away. Many data sets are sampled, aggregated or lack clear context on what happened when that data was collected, making them useless for training AI models. “We need good data from real sensor as close to the real deployments as possible.” Shelby underscores the need for best practices to enable people to collect high quality data and more collaboration centered around data; we need to find better ways to crowdsource, collect and share data.
We don’t need more chatbots!
The threshold to getting started might seem low, but we’re mostly talking to the same group of embedded developers who’re actually putting Edge AI to use. “It’s an engineering party, hosted in an ivory tower” as Fabio Violante, CEO of Arduino put it. We need to open up, bringing in more creativity.
“What’s the hello world of AI?” asked Brandon Satrom from Blues. “It’s chatbots!” And if there’s anything we don’t need more of, it’s chatbots, which won’t work on MCU-based devices anyway. Put that Raspberry Pi away and stop running Ollama. Look beyond chatbots and start implementing sensor-driven applications which solve real problems. As Violante nicely put it “Edge AI is there to solve problems, not the other way around”
Community, unite!
The industry is at a turning point with big shots investing heavily. Now is the time to define best practices, share experiences and crowdsource high quality data. Could this be the moment for the EDGE AI FOUNDATION to take the lead?
Let’s stop messing around and start solving real problems using a technology that has proven itself.
Laurens Slats from IoT Stars
Based on the conversation with Pete Bernard, Zach Shelby , Brandon Satrom , and Fabio Violante.
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