BRN Discussion Ongoing

7für7

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COME ON BRAINS ….. ALL TOGETHER !!!!!
 
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BigDonger101

Founding Member
So this thing is looking like its going below 20 cents again. Sigh.....
Can't wait until this year is over and hope 2025 is THE YEAR for us
Highly doubtful mate, markets look like they're going to get slam dunked in 2025. (especially semi conductors)

Sean is losing all credibility as a man.

He really wasn't the addition we needed. It's quite appalling at this stage lol. Same crap over and over and over again from the team. AGM looks to be exciting. Antonio said himself, if nothing by 2026, there's a fundamental issue with BRN.

Prove me wrong Sean.
 
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You know… i ignore this guy’s … so, no need to show me their crap… 🤷🏻‍♂️
It’s a good read with you and those over at the crapper 😂
 
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7für7

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It’s a good read with you and those over at the crapper 😂
What should I do… here in the TSE, most are objective even when they criticize… I also have some on ignore here … but overall, it’s balanced and objective… but in the other forum, sometimes some people need an intellectual slap because they think they own the forum.
 
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Don’t think it’s been posted before?

 
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cosors

👀
Valeo have a division working on intelligent lighting.
I heard about it for the first time yesterday via Osram. I think it would be good if several companies were to realise this ingenious technology for us all as soon as possible.
The light from Osram for cars, for example, can be controlled to multiple targets at a distance of 50 metres with centimetre precision.
Ingenious!
 
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Diogenese

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I heard about it for the first time yesterday via Osram. I think it would be good if several companies were to realise this ingenious technology for us all as soon as possible.
The light from Osram for cars, for example, can be controlled to multiple targets at a distance of 50 metres with centimetre precision.
Ingenious!
Yes. Valeo have been making a fair bit of noise about their intelligent lighting too.

https://www.valeo.com/en/lighting/
...
With its embedded intelligence, lighting can now provide new insights. It can guide, alert and assist. It can increase driver alertness, for example by over-illuminating cyclists on the roadside. It can draw the curves of the road on the pavement. It can warn the vehicle behind of potential danger using rear lights. Valeo already owns all these operational technologies. For example, our PictureBeam Monolithic technology is the first high-definition LED artificial intelligence (AI) lighting solution to significantly improve road safety at night.
 
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We need to take a page out of FG’s marketing team; RELENTLESS!

Frontgrade Gaisler Unveils GR716B, a New Standard in Space-Grade Microcontrollers​



 
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Rach2512

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Has there been any news from this event yet?

Unveiling the Key Technologies of Next-GenAI Computing Platforms and Memory Solutions November 20, 2024

This event will be held on Wednesday, November 20th, at the GIS Hsinchu Science Park Convention Center in Taiwan. Join BrainChip for a deep dive into the rapidly evolving landscape of generative AI, particularly its growing potential in edge applications. As IoT devices continue to proliferate, edge computing is becoming a key area for deploying generative AI, enabling real-time data processing, reduced latency, and less reliance on cloud resources. Whether in smart factories, cities, or homes, generative AI is enhancing adaptability and decision-making, driving more personalized and intelligent services.

Register here:

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23041 Avenida De La Carlota, Suite 250 Laguna Hills CA 92653

+1 949 784 0040 (United States)

sales@brainchip.com
 

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Diogenese

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Has there been any news from this event yet?

Unveiling the Key Technologies of Next-GenAI Computing Platforms and Memory Solutions November 20, 2024

This event will be held on Wednesday, November 20th, at the GIS Hsinchu Science Park Convention Center in Taiwan. Join BrainChip for a deep dive into the rapidly evolving landscape of generative AI, particularly its growing potential in edge applications. As IoT devices continue to proliferate, edge computing is becoming a key area for deploying generative AI, enabling real-time data processing, reduced latency, and less reliance on cloud resources. Whether in smart factories, cities, or homes, generative AI is enhancing adaptability and decision-making, driving more personalized and intelligent services.

Register here:

Related Posts

23041 Avenida De La Carlota, Suite 250 Laguna Hills CA 92653

+1 949 784 0040 (United States)

sales@brainchip.com

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Esq.111

Fascinatingly Intuitive.
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Diogenese

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Yes. Valeo have been making a fair bit of noise about their intelligent lighting too.

https://www.valeo.com/en/lighting/
...
With its embedded intelligence, lighting can now provide new insights. It can guide, alert and assist. It can increase driver alertness, for example by over-illuminating cyclists on the roadside. It can draw the curves of the road on the pavement. It can warn the vehicle behind of potential danger using rear lights. Valeo already owns all these operational technologies. For example, our PictureBeam Monolithic technology is the first high-definition LED artificial intelligence (AI) lighting solution to significantly improve road safety at night.
Valeo use a NN to determine areas of interest:

EP4456014A1 METHOD TO OPERATE AN ADAPTIVE HEADLIGHT DEVICE OF A VEHICLE 20230428

[0057] The artificial neural network 24 is preferably a convolutional neural network (CNN), in particular, a multi-branch CNN. Further sub-steps of step S4 are possible which are here indicated as steps S5 to S9. The artificial neural network 24 may comprise three separate input branches 16, 17, 18 for feature extraction. The provide outside information 10 is provided to a first input branch 16 of the three input branches 16, 17, 18 in step S5. The provided weather information 14 is provided to a second input branch 17 in step S6, and the lighting information 15 is provided to a third input branch 18 of the three input branches 16, 17, 18 in step S7. The second input branch 17 and/or the third input branch 18 are preferably fed with data determined by the further artificial neural networks 23. To determine the weather information 14 and/or the lighting information 15, the respective further artificial neural network 23 may be applied on the provided outside information 10 and/or on the further sensor information. The further sensor information may be provided by the rain sensor 5, the temperature sensor 6 and/or by the external device 9. There may be only one single artificial neural network 24 that determines the weather information 14, the lighting information 15 and the control command 20. Otherwise, the artificial neural network 24 and the two further artificial neural networks 23 differ from each other.

[0060] Applying the artificial neural network 24 may comprise determining at least one area of interest in the environment 3 of the vehicle 1. The area of interest may comprise at least partially an opposing vehicle 1, a traffic sign, an obstacle and/or a road infrastructure element. It is hence possible to define which area in the environment 3 should be more or less illuminated than at a current point in time.

Given the filing date is 2023, it is possible that they use Akida/TENNs software to determine the areas of interest.
 
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Diogenese

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Valeo use a NN to determine areas of interest:

EP4456014A1 METHOD TO OPERATE AN ADAPTIVE HEADLIGHT DEVICE OF A VEHICLE 20230428

[0057] The artificial neural network 24 is preferably a convolutional neural network (CNN), in particular, a multi-branch CNN. Further sub-steps of step S4 are possible which are here indicated as steps S5 to S9. The artificial neural network 24 may comprise three separate input branches 16, 17, 18 for feature extraction. The provide outside information 10 is provided to a first input branch 16 of the three input branches 16, 17, 18 in step S5. The provided weather information 14 is provided to a second input branch 17 in step S6, and the lighting information 15 is provided to a third input branch 18 of the three input branches 16, 17, 18 in step S7. The second input branch 17 and/or the third input branch 18 are preferably fed with data determined by the further artificial neural networks 23. To determine the weather information 14 and/or the lighting information 15, the respective further artificial neural network 23 may be applied on the provided outside information 10 and/or on the further sensor information. The further sensor information may be provided by the rain sensor 5, the temperature sensor 6 and/or by the external device 9. There may be only one single artificial neural network 24 that determines the weather information 14, the lighting information 15 and the control command 20. Otherwise, the artificial neural network 24 and the two further artificial neural networks 23 differ from each other.

[0060] Applying the artificial neural network 24 may comprise determining at least one area of interest in the environment 3 of the vehicle 1. The area of interest may comprise at least partially an opposing vehicle 1, a traffic sign, an obstacle and/or a road infrastructure element. It is hence possible to define which area in the environment 3 should be more or less illuminated than at a current point in time.

Given the filing date is 2023, it is possible that they use Akida/TENNs software to determine the areas of interest.
They even do gaze-tracking light control:


EP4456013A1 METHOD TO OPERATE AN ADAPTIVE HEADLIGHT DEVICE OF A VEHICLE 20230428

Gaze tracking

The invention relates to a method to operate a headlight device object (2) of a vehicle (1) comprising: providing an outside information (10) describing an environment (3) of the vehicle (1) and providing a gaze information (14) describing a gaze of a driver (9) of the vehicle (1). The method comprises determining (S3) a control command (19) for the headlight device (2) by applying a control command determining algorithm (22) on the provided outside information (10) and the provided gaze information (14), so that the determined control command (19) describes at least one setting (20, 21) for the headlight device (2) by which light emitted by the headlight device (2) is adjusted to the environment (3) and the gaze of the driver (9). It also comprises operating (S8) the headlight device (2) according to the determined control command (19).
 
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Quiltman

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Diogenese

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They even do gaze-tracking light control:


EP4456013A1 METHOD TO OPERATE AN ADAPTIVE HEADLIGHT DEVICE OF A VEHICLE 20230428

Gaze tracking

The invention relates to a method to operate a headlight device object (2) of a vehicle (1) comprising: providing an outside information (10) describing an environment (3) of the vehicle (1) and providing a gaze information (14) describing a gaze of a driver (9) of the vehicle (1). The method comprises determining (S3) a control command (19) for the headlight device (2) by applying a control command determining algorithm (22) on the provided outside information (10) and the provided gaze information (14), so that the determined control command (19) describes at least one setting (20, 21) for the headlight device (2) by which light emitted by the headlight device (2) is adjusted to the environment (3) and the gaze of the driver (9). It also comprises operating (S8) the headlight device (2) according to the determined control command (19).
This is an interesting, if diverting, rabbit hole:

Troxler fading:
https://en.wikipedia.org/wiki/Troxler's_fading

Troxler's fading, also called Troxler fading or the Troxler effect, is an optical illusion affecting visual perception. When one fixates on a particular point for even a short period of time, an unchanging stimulus away from the fixation point will fade away and disappear. Research suggests that at least some portion of the perceptual phenomena associated with Troxler's fading occurs in the brain.

It's a bit like DVS - only differentish?
 
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Tothemoon24

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Dallas

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