BRN Discussion Ongoing
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Only 32 thousand turnover.Brchf up 11 percent overnight
Bravo
If ARM was an arm, BRN would be its biceps💪!
Wonder if we'll get an intro to these guys as some point. Co funded by the EU and have also participated in space programs with ESA and NASA.
Like to think someone at ESA may discuss us with them sometime?
Exploring the future of the Space sector
In this article we explore the challenges the space sector will face in the coming years, as well as the trends, direction and future of the space sector.www.arquimea.com
Spanish technology for the European XFEL, the world's most important scientific X-ray facility
Neuromorphic vision is a field that draws on the workings of the human visual system to develop electronic systems that process visual information efficiently and in real time.
What are the challenges of implementing neuromorphic vision in AI?
Trends
December 23, 2024
Neuromorphic vision is a field that draws on the workings of the human visual system to develop electronic systems that process visual information efficiently and in real time. This approach uses sensors and algorithms designed to mimic the biological properties of the eye and brain.
Instead of capturing data in fixed frames like traditional cameras, neuromorphic sensors record individual events (changes in light intensity) at each pixel. This makes them highly efficient in terms of energy consumption and processing speed.
Origins of Neuromorphic Vision
The term ‘neuromorphic’ was coined by Carver Mead in the 1980s. Mead, a pioneer in microelectronics, proposed to design electronic systems inspired by the structure and function of the human brain. Since then, research in neuromorphic sensors has evolved, with key milestones such as the development of event cameras (e.g. Dynamic Vision Sensor, DVS) that mimic the behaviour of the human eye.
Relationship with Artificial Intelligence (AI)
Neuromorphic vision is closely linked to AI, providing highly optimised and relevant data for the training and execution of deep learning and machine learning algorithms. Some of its main contributions are:
- Real-time processing: data obtained from neuromorphic sensors allows AI models to react immediately, useful in applications such as autonomous driving and robotics.
- Energy efficiency: neuromorphic vision significantly reduces energy consumption compared to traditional cameras, improving the sustainability of AI-based applications.
- Non-redundant data: event-specific detection allows AI systems to work with non-redundant data, improving accuracy in tasks such as object recognition or navigation.
Current and Future Impact
The implementation of neuromorphic vision is highly recommended in sectors where low latency and energy efficiency are essential and robust real-time event processing is required. Therefore, neuromorphic vision has promising applications in sectors such as:
– Robotics: enabling improved visual perception of robots for navigation and manipulation in complex environments.
– Autonomous driving: enables fast and efficient detection of both objects and obstacles.
– Medical devices: supports some technologies such as visual prostheses or biomedical analysis.
– Security and surveillance: provides highly accurate real-time detection of suspicious movements and critical events.
– Industry and automation: aiding quality inspection systems, tracking objects on assembly lines, and industrial IoT systems.
The combination of neuromorphic vision and AI will transform the way machines perceive and understand the environment, bringing them closer to human biological processing.
What are the challenges of implementing neuromorphic vision in AI?
Implementing neuromorphic vision in artificial intelligence presents several challenges, whether technical, economic or practical:
– Development of specialised hardware: neuromorphic sensors require advanced chips that mimic the neural activity of the brain, which are expensive and technically complex to manufacture.
– Unconventional data processing: instead of conventional images, neuromorphic sensors generate data in event format, which requires specific algorithms and new paradigms to interpret the data.
– Specialised learning algorithms: New algorithms, such as spiking neural networks (SNNs), are needed that are compatible with the asynchronous and event-driven nature of the data.
– Scalability: Algorithms and systems need to be scalable for large-scale applications, which has not yet been fully achieved.
– Lack of expertise and training: There are few experts in neuromorphic vision, and it takes time and resources to build technical teams.
In summary, neuromorphic vision has transformative potential in multiple industries. Its implementation is strategic for companies seeking technological advantage in artificial intelligence applications.
Neuromorphic Vision and Artificial Intelligence in ARQUIMEA
ARQUIMEA, from its research center located in the Canary Islands, has a research orbital dedicated to robotics and another to Artificial Intelligence that develops projects that explore the potential of neuromorphic vision.
In addition, all ARQUIMEA Research Center projects belong to the QCIRCLE project, co-funded by the European Union, which aims to create a center of scientific excellence in Spain
Hi FMF,
Looks like your suspicions were correct!
"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 superior efficiency and consistently high-quality results."
I wonder if this has anything to do with the recent hiring of Finn Ryder to Development Representative at BrainChip, since he was a Senior Lifeguard and First Responder for the City of Huntington Beach for 5 years prior to joining us?
Prophesee - LP
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
Last edited:
Pom down under
Top 20
Maybe the company haven’t had any luck with a person who is skilled in this selling the tech, so maybe they trying a different approach.
DingoBorat
Slim
Hey, this is Big News BravoHi FMF,
Looks like your suspicions were correct!
"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 superior efficiency and consistently high-quality results."
I wonder if this has anything to do with the recent hiring of Finn Ryder to Development Representative at BrainChip, since he was a Senior Lifeguard and First Responder for the City of Huntington Beach for 5 years prior to joining us?
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Prophesee - LP
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...
The first official teaming up of BrainChip and Prophesee!
I wonder how integrated the solution is?..
ndefries
Regular
once BRN is over there and it is easy for Americans to buy shares there will be many spikes like this and easy for a company to take a 5% stake quickly. Hoping that a 2B valuation is tested there. Just need to get more progress over the year so the launch on the market has good hype and is backed up by a solid future.
Fullmoonfever
Top 20
Awesome. Nice pick up and thanks posting it @BravoHi FMF,
Looks like your suspicions were correct!
"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 superior efficiency and consistently high-quality results."
I wonder if this has anything to do with the recent hiring of Finn Ryder to Development Representative at BrainChip, since he was a Senior Lifeguard and First Responder for the City of Huntington Beach for 5 years prior to joining us?
View attachment 79709
View attachment 79711 View attachment 79710
Prophesee - LP
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...
Fullmoonfever
Top 20
If you were to believe the shorters & downrampers then someone with first responder and ocean lifeguard skills could come in handy on a sinking shipIn the light of the above LinkedIn post by our CTO Tony Lewis, the recent hire of Finn Ryder is of course rather puzzling, to say the least…
I am sure he is a very nice guy, energetic, ambitious and all, but I do wonder what exactly made him stand out from the sea of applicants (provided there was one) and why our company didn’t pick someone with a more technical background and/or several years of experience in sales within the semiconductor industry, which is usually required as a minimum qualification for other open sales positions with BrainChip.
After all, our IP licenses are currently not exactly selling like hot cakes…
However, if our management were to list BRN at a US stock exchange without major good news preceding the move, we’d definitely benefit from Finn Ryder’s lifesaving and first responder skills to rescue us from drowning… 🛟
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-447178
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I noticed Finn Ryder has since changed the wording of his self-description under his profile picture and also his job title from “Sales Development Representative” to “Sales Operations Specialist”:
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It may not mean anything, but I also noticed he recently liked a couple of posts by a company called Surfline\Wavetrak that has a global network of surf cameras and is headquartered in Huntington Beach, CA, where he has been a lifeguard for almost six years.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
DingoBorat
Slim
Well done Wilzy
(much nicer than my original response)..Nothing at all showing up on the net with keywords..
This "news" is pretty well hidden..
Bravo
If ARM was an arm, BRN would be its biceps💪!
Well done Wilzy
Nothing at all showing up on the net with keywords..
This "news" is pretty well hidden..
It comes up if you look under the search term "prophesee".
DingoBorat
Slim
Yeah, but not on the Web..
I tried "Prophesee" "BrainChip" "Akida" and "Arquimea" combinations and nothing comes up recent, or otherwise..
Frangipani
Top 20
At least one former BRN employee appears to be of the opinion that Sean Hehir is not the ideal choice for the CEO job (and I strongly suspect he is not the only one):
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As I mentioned earlier this month, Anup Vanarse recently moved back to Australia and now works for BrainEye (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-452508). When I found out he had left BrainChip last year without having another job lined up, only six months after relocating from Perth to California, I suspected personal tensions to be the reason for his departure:
“The fact that he left what looks like a secure job without another one lined up (except for his ongoing side hustle as a remote AI/ML Advisor for NZ-based Scentian Bio, which presumably doesn’t pay the bills) suggests to me he was unhappy in his previous position, possibly due to personal tensions? (Or someone wasn’t happy with him and asked him to leave?)”
(https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-435564)
And in my eyes, a number of his LinkedIn comments/likes since then appear to confirm my suspicion. Of course there will be those who’ll just shrug their shoulders and say nah, it’s nothing, just the voice of a disgruntled ex-employee, but I believe we should listen up when someone who is evidently still highly respected by many BrainChip staff members past and present (look at all the people congratulating him on his new position with BrainEye) gives posts like these a thumbs-up:
"Finn Ryder" as surfer - there's a bit of vocational onomatopoeia.Hi FMF,
Looks like your suspicions were correct!
"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 superior efficiency and consistently high-quality results."
I wonder if this has anything to do with the recent hiring of Finn Ryder to Development Representative at BrainChip, since he was a Senior Lifeguard and First Responder for the City of Huntington Beach for 5 years prior to joining us?
View attachment 79709
View attachment 79711 View attachment 79710
Prophesee - LP
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...
7für7
Top 20
Not impressed.. anyway we will not be the only ones. But brain should speed up …just my opinion
... and shark detection.Hi FMF,
Looks like your suspicions were correct!
"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 superior efficiency and consistently high-quality results."
I wonder if this has anything to do with the recent hiring of Finn Ryder to Development Representative at BrainChip, since he was a Senior Lifeguard and First Responder for the City of Huntington Beach for 5 years prior to joining us?
View attachment 79709
View attachment 79711 View attachment 79710
Prophesee - LP
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...
rgupta
Regular
Frangipani
Top 20
So with the BrainChip - Prophesee - ARQUIMEA axis of vision confirmed, I guess there’s a good chance, then, that we might have gotten a mention in this November 2024 conference paper I shared on Friday, co-authored by Hélder Rodríguez from ARQUIMEA Research Center? 
After all, we now know that ARQUIMEA’s event-based vision drone solution serves “to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas”.
The link https://portalcientifico.upm.es/en/ipublic/item/10317217 still worked on Friday, but no longer does.
Here is another one:
https://ieeexplore.ieee.org/document/10797412 (abstract only)
After all, we now know that ARQUIMEA’s event-based vision drone solution serves “to detect distressed swimmers and surfers in the ocean helping lifeguards scale their services for large beach areas”.
The link https://portalcientifico.upm.es/en/ipublic/item/10317217 still worked on Friday, but no longer does.
Here is another one:
https://ieeexplore.ieee.org/document/10797412 (abstract only)
Frangipani
Top 20
I’ve always loved this project on the ARQUIMEA website: a real-time detection system of sperm whale blows using thermal imaging. 
Hopefully our technology can one day also help save more of these majestic ocean creatures…
www.arquimea.com
Hopefully our technology can one day also help save more of these majestic ocean creatures…
Artificial Intelligence, AI Orbital | ARQUIMEA
At ARQUIMEA Research Center we believe that Artificial Intelligence is one of the main drivers of transformation in contemporary society.
www.arquimea.com
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