BRN Discussion Ongoing

[chapman89]

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[chapman89]

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[chapman89]

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[chapman89]

 

[thelittleshort]

Thanks for posting @chapman89

 

[RobjHunt]

Is that the (expletive deleted) machine that puts those labels on the fruit?

They're soooo annoying.

 

[thelittleshort]

Not sure if this has been posted previously

I cannot wait to read similar triumphant validation from PVDM

 

[Okeydokey01]

SG,

I have no doubt Akida is the secret sauce but I'm a little confused with what. Are you suggesting Akida will be used in Valeo's sensors for lidar which Merc are incorporating in their vehicles in 2022? Will those same sensors be used by Merc when they incorporate whatever Nvidia/BRN are working on to be implemented in 2024? If so we should expect some revenue later this year.

I share SG's sentiment when it comes to Valeo. And personally feel the possibility that Valeo are just about to, if not already, begin incorporating Akida in some of their production sensors or Lidar/ ADAS componentry highly possible. These items would not be destined for Mercedes alone but would be made available to many of Valeos customers within the automotive space.

And this, is an example in the larger sense of the strength of the Akida technology. We could be working directly with Mercedes on specific proprietary software or systems and have them as a customer directly (as has already been disclosed). But we could then also be working with Valeo who are supplying sensors or Nvidia who are themselves then also working with Mercedes to develop and deliver their part of the puzzle. We could potentially in a single production model have several licensing agreements all providing their own income streams.

Multiply this by the number of possibilities and possible use cases within each industry that could potentially benefit from our technology and you have to start reaching for the calculator to assist in estimating where we may be in years to come.

 

[Proga]

I share SG's sentiment when it comes to Valeo. And personally feel the possibility that Valeo are just about to, if not already, begin incorporating Akida in some of their production sensors or Lidar/ ADAS componentry highly possible. These items would not be destined for Mercedes alone but would be made available to many of Valeos customers within the automotive space.

And this, is an example in the larger sense of the strength of the Akida technology. We could be working directly with Mercedes on specific proprietary software or systems and have them as a customer directly (as has already been disclosed). But we could then also be working with Valeo who are supplying sensors or Nvidia who are themselves then also working with Mercedes to develop and deliver their part of the puzzle. We could potentially in a single production model have several licensing agreements all providing their own income streams.

Multiply this by the number of possibilities and possible use cases within each industry that could potentially benefit from our technology and you have to start reaching for the calculator to assist in estimating where we may be in years to come.

Okeydokey,

I know all that. I was wondering if SG had something solid on Akida being used in Valeo sensors to be put in Mercedes vehicles in 2022.

 

[Stable Genius]

Okeydokey,

I know all that. I was wondering if SG had something solid on Akida being used in Valeo sensors to be put in Mercedes vehicles in 2022.

Hi Proga,

I’m just voicing my opinon as an anonymous poster with no more information other than what I’ve been reading since I first invested in Brainchip in Feb 2021. (I haven’t been invested as long as some!)

As stated previously Valeo are intending to be making 3 billion sensors over the next 5 years. They have an agreement with Brainchip which is protected with an NDA.

We are the only commercially available neuromorphic AI chip.

If Brainchip makes sensors smart why wouldn’t they be included in Valeo’s Lidars?

 

[H.E. Pennypacker]

Hey Pennypacker, who’s looking after the Saab factory?

It got bought out by Vandelay industries

 

[RobjHunt]

View attachment 4883

It's so awesome that you have shared all of this. Thank you.

 

[Andy38]

Accumulated more earlier this week and more today... was strangely hoping sp would drop down into the 93c mark. Why? Because, as many have repeated, we most likely won't see these prices again. Insto's definitely driving prices down, so why not use that to our advantage also? It's a long game. Revenue will increase this year but I fear we are investing too much emotion on these short term figures... 2025 is where the action will take place.
I also can't help but feel a little nervous about all the Mercedes-Benz hype. I think this will slowly pan out but I'm investing on the expected returns from the renesas and megachips deal... our IP will be in so many products, this is where the saturation will take place.
Every dollar (or 93 cents) invested today in BRN is 5 dollars in 2025 or slap me in the face.... If u prefer keep your cash under the mattress or take a holiday but I can wait for my vacation in 2025.

AKIDA BALLISTA!!!!

Could not agree more with this… well said

 

[Proga]

Hi Proga,

I’m just voicing my opinon as an anonymous poster with no more information other than what I’ve been reading since I first invested in Brainchip in Feb 2021.

As stated previously Valeo are intending to be making 3 billion sensors over the next 5 years. They have an agreement with Brainchip which is protected with an NDA.

We are the only commercially available neuromorphic AI chip.

If Brainchip makes sensors smart why wouldn’t they be included in Valeo’s Lidars?

SG,

Thanks mate. I do it myself. I was just hoping you did.


If Brainchip makes sensors smart why wouldn’t they be included in Valeo’s Lidars? - I'm sure they're are. Just trying to ascertain how far advanced they were. Rolling out infrastructure was my speciality and you had my antenna twitching

 

[Slade]

View attachment 4879

Chapman comes up with the goods again. Kicking goals on his holidays. I like it a lot!

 

[M_C]

Haven't watched it yet

New Tools for a New Era of Neuromorphic Computing - About the INRC - Confluence

intel-ncl.atlassian.net

 

[Bravo]

View attachment 4883

Hey Chapman,

Well done and thanks for sharing!

Lets hope this is building to a crescendo like an Intel/BrainChip/SiFive collaboration #8,873

 

[Slade]

Haven't watched it yet

New Tools for a New Era of Neuromorphic Computing - About the INRC - Confluence

intel-ncl.atlassian.net

Thanks for sharing. I will watch it soon. Something tells me that their research project continues to drag on.

 

[Fact Finder]

​

​

Research on Fault Diagnosis Based on Spiking Neural Networks in Deep Space Environment​

• Authors:
• Ruowei Li
  ,
• Jiabin Yuan

Authors Info & Claims
ASSE' 22: 2022 3rd Asia Service Sciences and Software Engineering ConferenceFebruary 2022 Pages 165–170https://doi.org/10.1145/3523181.3523205
Online:18 April 2022Publication History

• 0citation
• Downloads

• Get Access

ABSTRACT
Deep space detection technology is one of the development directions in the aerospace field today. The long-distance, high cost, high uncertainty, and severe resource limitations of deep space detection missions determine that deep space detectors need autonomous fault diagnosis capabilities. Analyze the shortcomings of the current fault diagnosis technology, and conduct a research on the fault diagnosis technology based on the spiking neural network. Its characteristics of low energy consumption, fast decision-making speed, working in discrete time and training without relying on large amounts of data meet the requirements for autonomous fault diagnosis of the detector in the deep space environment. After selecting multiple data sets and comparing them with the fault diagnosis method based on the second-generation neural network, the feasibility of the application of the autonomous fault diagnosis technology based on the spiking neural network in the deep space environment is demonstrated.

References​

1. Mass W. Networks of spiking neurons: The third generation of neural network models [J]. Neural Networks,1997, 19 (9) : 1659-1671.
2. Xing Yan, Wu Hongxin, Wang Xiaolei, Li Zhibin. Overview of Spacecraft Fault Diagnosis and Fault Tolerant Control Technology [J]. Journal of Astronautics,2003 (03) : 221 - 226.
3. Baldi P, Castaldi P, Mimmo N, A new aerodynamic decoupled frequent FDIR methodology for satellite actuator faults [J]. International Journal of Adaptive Control and Signal Processing,2014,28 (9) : 812-832.

 

[Bravo]

​

​

Research on Fault Diagnosis Based on Spiking Neural Networks in Deep Space Environment​

• Authors:
• 
  
• Ruowei Li
  ,
• 
  
• Jiabin Yuan

Authors Info & Claims
ASSE' 22: 2022 3rd Asia Service Sciences and Software Engineering ConferenceFebruary 2022 Pages 165–170https://doi.org/10.1145/3523181.3523205
Online:18 April 2022Publication History

• 0citation
• Downloads

• Get Access

ABSTRACT
Deep space detection technology is one of the development directions in the aerospace field today. The long-distance, high cost, high uncertainty, and severe resource limitations of deep space detection missions determine that deep space detectors need autonomous fault diagnosis capabilities. Analyze the shortcomings of the current fault diagnosis technology, and conduct a research on the fault diagnosis technology based on the spiking neural network. Its characteristics of low energy consumption, fast decision-making speed, working in discrete time and training without relying on large amounts of data meet the requirements for autonomous fault diagnosis of the detector in the deep space environment. After selecting multiple data sets and comparing them with the fault diagnosis method based on the second-generation neural network, the feasibility of the application of the autonomous fault diagnosis technology based on the spiking neural network in the deep space environment is demonstrated.

References​

1. Mass W. Networks of spiking neurons: The third generation of neural network models [J]. Neural Networks,1997, 19 (9) : 1659-1671.
2. Xing Yan, Wu Hongxin, Wang Xiaolei, Li Zhibin. Overview of Spacecraft Fault Diagnosis and Fault Tolerant Control Technology [J]. Journal of Astronautics,2003 (03) : 221 - 226.
3. Baldi P, Castaldi P, Mimmo N, A new aerodynamic decoupled frequent FDIR methodology for satellite actuator faults [J]. International Journal of Adaptive Control and Signal Processing,2014,28 (9) : 812-832.

And it'll probs need to be radiation-hardened too. Just saying...

He-he-he!