BRN Discussion Ongoing

7für7

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Bravo, in her “deep dive search” frenzy, stumbles upon a clue about a user related to BrainChip that could potentially be seen as a game-changer but hasn’t been officially announced yet, believing it might be a good idea to post it in the TSE.

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HopalongPetrovski

I'm Spartacus!
Oh, ok, cheers
Yeah Wags.
Wouldn't be surprised if they hold off for as long as possible in the hope of a positive announcement becoming available to offset likely more lack- lustre financial results.
Lots of positive news filtering down but still not the announcements with wads of cash attached........yet.
 
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Wags

Regular
Yeah Wags.
Wouldn't be surprised if they hold off for as long as possible in the hope of a positive announcement becoming available to offset likely more lack- lustre financial results.
Lots of positive news filtering down but still not the announcements with wads of cash attached........yet.
Maybe yr right Hop. I don't know.
Again, not a critic of management, I just wish I understood it better.
To me it just seems the big end of town knows our company reports late, and can take advantage of the unknown.
Still, on a more positive note, we seem to be having a change in sentiment, with recent news flows, lots of public mentions of BRN and the maturing of our market. Certainly lots of recent liquidity, so hoping for a turning indicator in these coming financials.
 
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HopalongPetrovski

I'm Spartacus!
Maybe yr right Hop. I don't know.
Again, not a critic of management, I just wish I understood it better.
To me it just seems the big end of town knows our company reports late, and can take advantage of the unknown.
Still, on a more positive note, we seem to be having a change in sentiment, with recent news flows, lots of public mentions of BRN and the maturing of our market. Certainly lots of recent liquidity, so hoping for a turning indicator in these coming financials.
Here's hoping Mate.
It's a couple of years past my personal agenda's prime time and preference but I'm past complaining about it now.
Will ride this baby either to glory or down the toilet. 🤣
From what I can see there has never been more evidence of uptake and I think it's only a matter of time till multiple use cases are revealed and the money flow starts.
The world is catching up to PVDM's vision and energy efficiency, critical edge applications and the requirements of autonomous platforms are making our solutions more attractive every day.
We've just gotta make it through the night.
 
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7für7

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Here's hoping Mate.
It's a couple of years past my personal agenda's prime time and preference but I'm past complaining about it now.
Will ride this baby either to glory or down the toilet. 🤣
From what I can see there has never been more evidence of uptake and I think it's only a matter of time till multiple use cases are revealed and the money flow starts.
The world is catching up to PVDM's vision and energy efficiency, critical edge applications and the requirements of autonomous platforms are making our solutions more attractive every day.
We've just gotta make it through the night.
The darkest hour is before the sunrise
 
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Tothemoon24

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In terms of logistics, a camera on the roof makes it possible to identify the location of a package in an automated way using these markers, saving time and money. Until now, the system's weakness was lighting conditions, as classic machine vision techniques that accurately locate and decode markers fail under low-light situations.

To address this problem, researchers Rafael Berral, Rafael Muñoz, Rafael Medina and Manuel J. Marín, with the Machine Vision Applications research group at the University of Cordoba, have developed a system that is able, for the first time, to detect and decode fiducial markers under difficult lighting conditions, using neural networks. The paper is published in the journal Image and Vision Computing.

"The use of neural networks in the model allows us to detect this type of marker in a more flexible way, solving the problem of lighting for all phases of the detection and decoding process," explained researcher Berral. The entire process is comprised of three steps: marker detection, corner refinement, and marker decoding, each based on a different neural network.

This is the first time that a complete solution has been given to this problem, since, as Manuel J. Marín points out, "there have been many attempts to, under situations of optimal lighting, increase speeds, for example, but the problem of low lighting, or many shadows, had not been completely addressed to improve the process."

How to train your machine vision model​

When training this model, which presents an end-to-end solution, the team created a synthetic dataset that reliably reflects the type of lighting circumstances that can be encountered when working with a marker system without ideal conditions. Once trained, "the model was tested with real-world data, some produced here internally and others as references from other previous works," the researchers indicate.

Both the artificially generated data to train the model, and those of unfavorable lighting situations in the real world, are available on an open basis. Thus, the system could be applied today "since the code has been released and it has been made possible to test the code with any image in which fiducial markers appear," recalls Rafael Muñoz.

Thanks to this work, machine vision applications have overcome a new obstacle: moving in the dark.
 
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Tothemoon24

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The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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ndefries

Regular
View attachment 76816


The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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Good to see Mercedes talking about this again. Hopefully no one bothers them on linkedin.
 
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Cirat

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7für7

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View attachment 76816


The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

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So….”by mimicking the human brain with so-called “event-based processing“.”

Nothing to see here
 
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RobjHunt

Regular
View attachment 76816


The intelligent vehicle functionalities of the future call for pioneering new algorithms and hardware.

That’s why Mercedes-Benz is researching artificial neural networks that could radically increase the speed and energy efficiency of complex AI computations.

This could revolutionise future driving assistance and safety systems by overcoming the limits of today’s computing hardware.

For instance, conventional computing requires up to 3000 watts for advanced automated driving functions.

In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

View attachment 76817 View attachment 76818 View attachment 76819 View attachment 76820
In future, neuromorphic computing could do this with just 300 watts, by mimicking the human brain with so-called “event-based processing“.

There’s no “so called” about it Mr Merc!

Our little nipper does just that, reeeeealy well. Go get em tiger 🤭
 
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genyl

Member
AI stocks getting hammered today. Get ready for a red day 🫡
 

itsol4605

Regular
AI stocks getting hammered today. Get ready for a red day 🫡
NVIDIA is already having a deep red day.

I don't think it will be red for Brainchip - quite the opposite
 
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AI stocks getting hammered today. Get ready for a red day 🫡
Maybe so, but who is going to be the savior in the end? BrainChip and whoever uses our technology there sp price will only rise, proof is in the pudding after today.
 
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AI stocks getting hammered today. Get ready for a red day 🫡
Hoping to close out your short position today?
 
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cosors

👀
Off topic, but maybe from general interest:

"Infineon and the BSI pave the way for a quantum-resilient future: World's first Common Criteria Certification for post-quantum cryptography algorithm on a security controller
...
The world's first certification is a milestone on the way to a quantum-safe future in our daily lives."
 
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Tothemoon24

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