BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
ARTICLE 1 - Extract only - Date published 1 Sept 2023
Screen Shot 2023-09-03 at 10.53.07 am.png


ARTICLE 2 - Extract only - Date published 1 Sept 2023
Screen Shot 2023-09-03 at 11.11.33 am.png





ARTICLE 3 - Extract only - Date published 18 Jan 2022


Touting Vision EQXX as “a car that thinks like you,” Mercedes promises range of more than 1,000 km (about 620 miles) on a single charge.

“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip’s Akida hardware and software,” Mercedes noted in a statement describing the Vision EQXX. “The example in the Vision EQXX is the “Hey Mercedes” hot-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control,” the carmaker claimed.

Mercedes Vision EQXX uses neuromorphic computing to save power

The Mercedes Vision EQXX uses neuromorphic computing to save power. (Source: Mercedes)

That represents validation of BrainChip’s technology by one of its early-access customers. BrainChip’s Akida chip accelerates spiking neural networks (SNNs) and convolutional neural networks (via conversion to SNNs). It is not limited to a particular application, and also run person detection, voice or face recognition SNNs, for example, that Mercedes could also explore.

“Although neuromorphic computing is still in its infancy, systems like these will be available on the market in just a few years,” Mercedes said. “When applied at scale throughout a vehicle, they have the potential to radically reduce the energy needed to run the latest AI technologies.”



Article 1 - Article 2 - https://www.energyportal.eu/news/me...-currency-in-the-ev-market-by-reuters/227273/
Article 3 - https://www.eetimes.com/mercedes-applies-neuromorphic-computing-in-ev-concept-car/#
 
Last edited:
  • Like
  • Love
  • Fire
Reactions: 41 users
  • Like
Reactions: 4 users

Dhm

Regular
ARTICLE 1 - Extract only - Date published 1 Sept 2023
View attachment 43684

ARTICLE 2 - Extract only - Date published 1 Sept 2023
View attachment 43686




ARTICLE 3 - Extract only - Date published 18 Jan 2022


Touting Vision EQXX as “a car that thinks like you,” Mercedes promises range of more than 1,000 km (about 620 miles) on a single charge.

“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip’s Akida hardware and software,” Mercedes noted in a statement describing the Vision EQXX. “The example in the Vision EQXX is the “Hey Mercedes” hot-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control,” the carmaker claimed.

Mercedes Vision EQXX uses neuromorphic computing to save power

The Mercedes Vision EQXX uses neuromorphic computing to save power. (Source: Mercedes)

That represents validation of BrainChip’s technology by one of its early-access customers. BrainChip’s Akida chip accelerates spiking neural networks (SNNs) and convolutional neural networks (via conversion to SNNs). It is not limited to a particular application, and also run person detection, voice or face recognition SNNs, for example, that Mercedes could also explore.

“Although neuromorphic computing is still in its infancy, systems like these will be available on the market in just a few years,” Mercedes said. “When applied at scale throughout a vehicle, they have the potential to radically reduce the energy needed to run the latest AI technologies.”



Article 1 - Article 2 - https://www.energyportal.eu/news/me...-currency-in-the-ev-market-by-reuters/227273/
Article 3 - https://www.eetimes.com/mercedes-applies-neuromorphic-computing-in-ev-concept-car/#
As worthwhile as your posts are @Bravo it is your cute faces that continually make my day!

Screenshot 2023-09-03 at 11.34.14 am.png
 
  • Haha
  • Like
  • Love
Reactions: 12 users

Esq.111

Fascinatingly Intuitive.
Afternoon Foxdog ,

You forgot to add ..

Global foundries have relatively recently been granted FULL GREEN LIGHT clearance to produce not only garden variety chips , but the USA's most technologically advanced chips for ALL MILLITARY APPLICATIONS.

Oh , and by the way thay just happen to of bought BrainChips latest chip to life , AKIDA 1500 in physical silicone..... refer to my last picture of physical silicone.

😃.

Not be long now.

Regards,
Esq.
 
  • Like
  • Fire
  • Love
Reactions: 34 users
Afternoon Foxdog ,

You forgot to add ..

Global foundries have relatively recently been granted FULL GREEN LIGHT clearance to produce not only garden variety chips , but the USA's most technologically advanced chips for ALL MILLITARY APPLICATIONS.

Oh , and by the way thay just happen to of bought BrainChips latest chip to life , AKIDA 1500 in physical silicone..... refer to my last picture of physical silicone.

😃.

Not be long now.

Regards,
Esq.
From one of our SBIR 'S
Screenshot_20230903-120034-199.png

MDA= MISSILE DEFENSE AGENCY
DARPA= Defense Advanced Research Projects Agency
USAF = UNITED STATES AIR FORCE
WAR WAR WHAT IS GOOD FOR
Get down and get brown.
 
  • Like
  • Fire
Reactions: 3 users

Terroni2105

Founding Member
@Diogenese or anyone else that knows - Can Akida be used as a chiplet?
 
  • Like
Reactions: 3 users
  • Like
  • Fire
  • Love
Reactions: 15 users

Diogenese

Top 20
@Diogenese or anyone else that knows - Can Akida be used as a chiplet?
It can but I remember PvdM being somewhat unenthusiastic or dismissive of the idea. One thing is that there needs to be communication between chiplets = mini-von Neumann bottlenecks?

That is why "at-the-sensor" (as a single SoC) would be preferred.
 
  • Like
  • Love
  • Fire
Reactions: 17 users

Foxdog

Regular
Afternoon Foxdog ,

You forgot to add ..

Global foundries have relatively recently been granted FULL GREEN LIGHT clearance to produce not only garden variety chips , but the USA's most technologically advanced chips for ALL MILLITARY APPLICATIONS.

Oh , and by the way thay just happen to of bought BrainChips latest chip to life , AKIDA 1500 in physical silicone..... refer to my last picture of physical silicone.

😃.

Not be long now.

Regards,
Esq.
Legend m8, well said 👌
 
  • Fire
  • Like
Reactions: 2 users

Terroni2105

Founding Member
It can but I remember PvdM being somewhat unenthusiastic or dismissive of the idea. One thing is that there needs to be communication between chiplets = mini-von Neumann bottlenecks?

That is why "at-the-sensor" (as a single SoC) would be preferred.
Thanks Dio and thanks Rise too.
 
  • Like
Reactions: 4 users

ndefries

Regular
Always good to re-read these especially when people like PVDM said the market doesn't understand the importance / value of this. MegaChip would not have incurred this cost if they did not have a plan and needed akida. They also can go and write seriously large business and we will only know through the financials if the customer keeps Akida secret. This hasn't happened yet but the day it does will be a massive bonfire of shorts.

I am so hopeful that they saw this going straight into a future Nintendo and the rest is history.
 
  • Like
  • Love
  • Fire
Reactions: 19 users

Jefwilto

Regular
Happy Fathers Day to our Tsx family,and if you dont have any children of your own we are all fathers/mothers of our babies “Akida” good things will come soon 😊
 
  • Like
  • Love
  • Fire
Reactions: 28 users
Happy Fathers Day to our Tsx family,and if you dont have any children of your own we are all fathers/mothers of our babies “Akida” good things will come soon 😊
Cheers mate, no kids here, use prophylactics but if it happens soon I'll name him Harry Houdini.
 
  • Haha
  • Like
Reactions: 7 users

Getupthere

Regular

 
  • Like
Reactions: 3 users

Foxdog

Regular
Cheers mate, no kids here, use prophylactics but if it happens soon I'll name him Harry Houdini.
Fur baby. You're a Dad m8 😀
 
  • Haha
  • Love
Reactions: 2 users
Nothing is guaranteed.

Much like Tata Consultancy Services, Mercedes has been working on neuromorphic compute for over 5 years. BrainChip was invited to help implement the advantages of neuromorphic compute in their vehicles, not to understand it. Mercedes Benz would have been through an internal assessment process, and moved towards SNN architecture , then evaluated options on how to implement ( internal development, available commercial partners). My point being that they have been at it for a while.

I then reflect on this article from 6th Jan, 2022 .

Software-defined vehicles, software-based simulation and neural processors in EVs and connected cars, with a look at developments from General Motors, Mercedes-Benz and Blackberry.


The gist of the article is around how development times have improved enormously by using software simulation rather than building physical models. The VISION EQXX went from a white paper to a completed vehicle in only 18 months.

This means new, innovative concepts ( like neuromorphic compute ) that may have taken 5+ years to end up on the market in a vehicle should now only take 2 to 3 years.

This article, as we all know, went on to talk about Akida technology in the EQXX

.....

Neuromorphic computing for infotainment

This efficiency is not just being applied to enhancing range though. Mercedes-Benz also points out that its infotainment system uses neuromorphic computing to enable the car to take to “take its cue from the way nature thinks”.

View attachment 43674

Neuromorphic computing systems have the potential to radically reduce the energy needed to run the latest AI technologies in vehicles. (Image: Mercedes-Benz)

The hardware runs spiking neural networks, in which data is coded in discrete spikes and energy only consumed when a spike occurs, reducing energy consumption by orders of magnitude. In order to deliver this, the carmaker worked with BrainChip, developing the systems based on its Akida processor. In the VISION EQXX, this technology enables the “Hey Mercedes” hot-word detection five to ten times more efficiently than conventional voice control. Mercedes-Benz said although neuromorphic computing is still in its infancy, systems like these will be available on the market in just a few years. When applied on scale throughout a vehicle, they have the potential to radically reduce the energy needed to run the latest AI technologies.

......

So, in Jan 2022 Mercedes was stating " just a few years ".
Does market release of the new Concept CLS class in say, June 2024 ( don't know release dates ), 2.5 years from this statement, fit with all of the evidence above and constitute " a few years ". I'm guessing it does.
Still no guarantees of course, but the timelines seem to fit.

I also like the fact that Merc continue to add to it's Team AI Research group.
With a focus on, you guessed it, spiking neural networks.
So I hope, and expect, that the footprint of Akida within MB vehicles will continue to evolve and grow over later releases.

This job was advertised on 7th August.

View attachment 43675

As an employee of the Team AI Research , you are researching current trends in artificial intelligence such as GenAI, quantum AI or neuromorphic computing. We are intensively examining new artificial intelligence methods and working on them further in order to make them usable for our company together with our colleagues from the specialist departments. We strive to expand the limits of artificial intelligence and create customized innovative solutions for our customers. In our team, you can actively shape the future of technology.


These challenges await you:

  • Applied research in the field of neuromorphic computing and spiking neural networks
  • Development of innovative algorithms for automotive applications
  • Implementation of neuromorphic algorithms for automotive applications
  • Researching and transferring current neuromorphic computing trends for automotive applications with a special focus on ADAS
I assume brainchip have been working with MB for nearly 6 years.
 

Attachments

  • Screenshot_20230903-153155_Chrome.jpg
    Screenshot_20230903-153155_Chrome.jpg
    579.4 KB · Views: 182
  • Like
  • Fire
  • Love
Reactions: 48 users

Rach2512

Regular



First off this is 5 days old, lots of comments re reduction in code...

Could someone more technical than me maybe post a comment to highlight the capabilities of Akida. Stephen (the presenter) himself comments that neural networks are beyond him. He has a lot of followers, perhaps he might do a dive into Brainchip? Also the Bull on the news interview says tech is on a new run, worth a watch. Could we be a fit with Tesla?
 
  • Like
  • Fire
  • Love
Reactions: 15 users

Rach2512

Regular



First off this is 5 days old, lots of comments re reduction in code...

Could someone more technical than me maybe post a comment to highlight the capabilities of Akida. Stephen (the presenter) himself comments that neural networks are beyond him. He has a lot of followers, perhaps he might do a dive into Brainchip? Also the Bull on the news interview says tech is on a new run, worth a watch. Could we be a fit with Tesla?


Also just to note Steven states that the video posted by Elon had 11 million views, that could be 11 million more people now aware of neural networks for the first time, maybe not all but a good percentage of them.
 
  • Like
  • Fire
  • Love
Reactions: 15 users

Rach2512

Regular
Unrelated, when I write a post, if I want to go back and edit it, it won't let me, is anyone else having the same problem.
 
  • Haha
Reactions: 1 users
Unrelated, when I write a post, if I want to go back and edit it, it won't let me, is anyone else having the same problem.
Refresh the page and try again and yes to your question. That fixes it for me
 
  • Like
Reactions: 3 users
Top Bottom