BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
I think you are right to a certain degree, M.B. are apparently using Lohei2 (Intel) in the radar system on yet another concept car,
Nvidia are also being used by M.B.. But Akida could be used in other areas of the car design we don't know about? I think a typical modern car contain thousands of chips, depending on type.
When Mercedes is doing a presentation everybody knows who they are talking about regarding above 2 brands but BrainChip? Who? Most wouldn't know about us. We had that crazy SP spike when we were mentioned at the previous concept car launch, and it wasn't good for BRN SP but for a very short time, downhill ever since.
I can't really see how a company like Nvidia/Intel could work direct against us, but they have the advantage of being well-known companies, and some vendors might prefer a well established brand when they choose hardware.
With the BrainChip Technology Roadmap, the company is much more mature IMO and Sean said, that's what the big companies want to see when they look for usable technology and have to make a choice on hardware to test for future products, they don't want to work with "hobbyist" companies, but prefer established brands.
Yes, it's fantastic BRN are getting into space and defense, because they typical want the products that use less power and the best because it makes their products "smarter" in a smaller footprint.
I think and hope that we are getting really close to penetrate the market on a bigger scale, time is both for and against BRN, Sean must secure something soon and he knows it.
It can also not be ruled out that Nvidia or another big player will buy us out one day, if you can't beat them, buy them and use the technology to their own advantage.
Quiltman
Regular
What an interview.
Time well invested to have a listen.
I thought Space Technology was the segment for AKIDA to shine.
Turns out, listening to this, it is very much military applications first, & then space technology.
And the sense of urgency was palpable ... it IS the future ... and we MUST beat China in implementing neuromorphic solutions into our military ( as in - US Military ). And Brainchip is mentioned throughout.
To me, it is reasonably obvious to understand what has been going on in BrainChip for the last couple of years.
Explains much of the silence from management ( not all ), the whole de-listing & moving to the US fiasco, and HIGHLY confidential nature of what we are doing - our lead segment is the US "War" cabinet - and BrainChip is in the middle of it. Don't expect much to be said ... too much on the line .
For investors, it's a tough place to be. Guess you either believe in the technology and trust management ( & hold ), or think it is all smoke & mirrors ( & sell ).
I continue to hold, and buy when I can.
Interesting
www.linkedin.com
#artdeco #automateddriving #brainchip #electricshowcar #futurride #iconicdesign #mercedesbenz #mercedesbenzvisioniconic #neuromorphiccomputing #photovoltaicpaint #shanghaifashionweek #solarpaint… | Futurride
Mercedes-Benz wows Shanghai Fashion Week with Vision Iconic Revealed alongside a fashion collection and design book, the electric show car is inspired by the brand’s heritage but designed for its future with a stunning shape, a lit grille and hood ornament, and Art Deco-inspired interior...
Hammertime
Member
Yeah what an arsehole no tax on overtime no tax on tips no tax on pensions, cleaning up crime and trying to stop wars, you must be another one with TDS. Pretty clear to see you lefties are nuts
Just watch his speech to the UN, or any of his speeches for that matter in front of your friends and family then stand up and yell out, that’s my guy!! When a clown moves into a palace he doesn’t become king, the palace becomes a circus. You and your Trump supporter mates are supporting pedos, disgusting. RELEASE THE FILES!!Yeah what an arsehole no tax on overtime no tax on tips no tax on pensions, cleaning up crime and trying to stop wars, you must be another one with TDS. Pretty clear to see you lefties are nuts
“The company recently announced a research collaboration with the University of Waterloo in the field of neuromorphic computing. It also announced a partnership with California-based artificial intelligence company BrainChip to develop systems based on that company’s Akida hardware and software.”Interesting
#artdeco #automateddriving #brainchip #electricshowcar #futurride #iconicdesign #mercedesbenz #mercedesbenzvisioniconic #neuromorphiccomputing #photovoltaicpaint #shanghaifashionweek #solarpaint… | Futurride
Mercedes-Benz wows Shanghai Fashion Week with Vision Iconic Revealed alongside a fashion collection and design book, the electric show car is inspired by the brand’s heritage but designed for its future with a stunning shape, a lit grille and hood ornament, and Art Deco-inspired interior...
View attachment 92068
Frangipani
Top 20
For years, the prevailing narrative among BRN retail shareholders has been that Mercedes-Benz engineers had trialled Intel Loihi for a number of years before switching to Akida for their VISION EQXX concept car. Which could only mean one thing, right?
“Fact” Finder, for example, has repeatedly brought this up and claimed the following on HC as recently as last month:
[Sorry, @CHIPS, TSE will not allow direct links to that other website, but you can search for the post under the author’s name and the 7 September date…
]
[…]
Where is the evidence for this? Can anyone provide links to verifiable sources in order to substantiate the above claim? If yes, please share them here with us. I’m especially curious to find out how MB would have managed to work with Loihi long before it was even announced (which was in September 2017) and officially launched (in January 2018).
Here are the facts and timelines that I have so far established for myself.
While I cannot rule out that I may have overlooked something, this whole Mercedes-found-a-new-love-narrative has always seemed pretty fishy to me, and I now happened to stumble across additional evidence to the contrary.
This post is not meant to turn into a discussion about which neuromorphic processor is superior or that only one of them is commercially available as I write - it is about the veracity of the narrative we have been fed for so long by fellow forum members.
In 2018, Intel established the Intel Neuromorphic Research Community (INRC), which includes academic, government and industry research groups. The INRC’s first corporate members were announced in November 2019: Accenture, Airbus, GE and Hitachi. Mercedes-Benz, however, didn’t join the INRC until late 2020.
eecs.utk.edu
www.hpcwire.com
At Intel Labs Day on 3 December 2020, which was held as a virtual event, Intel announced “the addition of Lenovo, Logitech, Mercedes-Benz and Prophesee to explore the value of neuromorphic computing for business use cases”.
The following quote by Jasmin Eichler, then Director of Future Technologies at MB, gives no indication whatsoever that Mercedes-Benz had already been evaluating Loihi prior to joining INRC. Unsurprisingly, I should add, since becoming an INRC Research Member (for which a sufficiently detailed project proposal must first be submitted) has always been a prerequisite for being granted access to Loihi.
And no, the mere fact that Accenture Labs - as an early INRC member - had been working with “an undisclosed automotive client” on voice command recognition for interaction with smart vehicles using Loihi in 2020, before Mercedes-Benz joined the INRC, does not prove that this automotive client was Mercedes-Benz (cf @SERA2g ’s post kicking off the BRN - Mercedes subthread:
https://thestockexchange.com.au/threads/brn-mercedes.150/).
www.wsj.com
Besides, MB have their own team of future technology researchers and thus wouldn’t have needed to rely on Accenture to explore Loihi on their behalf.
I also doubt Intel would have worded their Intel Labs Day 2020 announcement the way they did if the undisclosed carmaker on behalf of which Accenture was evaluating Loihi had been the same carmaker who had just joined them. The same goes for the author of the WSJ article - if the promising results of the Accenture evaluation had been the reason for the “undisclosed automotive client” to eventually join the INRC themselves, why still keep it a secret in retrospect now they have become a research member? That doesn’t make sense to me.
Anyway, it is definitely not conclusive evidence to support the above claim that Mercedes-Benz had been working with Intel “for years” before they had a change of heart, after falling head over heels in love with Akida.
Oh, and before anyone suggests it: I already DID scroll through all 11 pages of the BRN - Mercedes subthread, but couldn’t find any proof whatsoever of MB’s collaboration with Intel on neuromorphic computing predating the one with BrainChip...
One thing was clear to me from the outset: We know from the horse’s mouth that the VISION EQXX concept car (unveiled during CES in early January 2022) went from idea to prototype in only 18 months, so unless they added in the idea of implementing the voice control function on a neuromorphic chip at a later stage or changed their mind midway about which neuromorphic chip to work with (both highly unlikely, though), the relevant MB engineers must have been familiar with Akida by no later than mid-2020.
Months before Mercedes-Benz even joined the INRC, that is.
Remember the original Mercedes-Benz press release that mentioned systems (in the plural!) based on Akida developed by their engineers? I’d always wondered what else they had explored…
media.mbusa.com
“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software.”
… and now I know - at least in part!
Voilà, here is proof that Mercedes-Benz were already evaluating Akida for in-car gesture recognition in combination with event-based cameras between October 2019 and June 2020!
I discovered this intriguing piece of information in the LinkedIn work experience section of Gunjan Gupta, now a Senior Software Developer with SAP, who was placed with Mercedes-Benz as a working student during her time when she was enrolled for an IT Master’s programme at Uni Stuttgart - just like other Master students after her, eg Sreelakshmi Rameshan from February to September 2024 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443909 as well as
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443910)
and Krishnaprasad Thoombayil Satheesh from August 2024 to February 2025 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-468997).
While the two of them also wrote their Master’s theses during their industrial placement (both of them doing comparisons involving Akida, Loihi 2 and SynSense Speck), Gunjan Gupta wrote her Master’s thesis on an unrelated topic and only after her part-time job as a working student with MB (1 year 5 months in total) had ended. Why she did not pick a topic relating to what she had worked on with the BrainChip ADE (Akida Development Environment), we can only speculate.
So to sum it up: If we are to believe Gunjan Gupta’s LinkedIn profile (and I don’t have any reason to doubt the information provided), Mercedes-Benz researchers were already working with Akida as early as October 2019 - more than a year before they joined the Intel Neuromorphic Research Community!
This timeline also explains, by the way, why there was never any announcement about Mercedes-Benz having joined the EAP (Early Access Program) - just like Ford, they had already become a BrainChip customer months before the EAP was officially launched in June 2020. As I noted before, MB were, however, referred to as one of BrainChip’s “Marquee EAP customers” from at least as early as September 2023 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-464731).
So unless someone can come up with compelling evidence for the claim that Mercedes-Benz had indeed worked with Loihi “for years”, before picking Akida as their neuromorphic processor of choice for their VISION EQXX concept car, let’s banish this widely held belief to where I strongly suspect it belongs: to the realm of myths and fairy tales.
“Fact” Finder, for example, has repeatedly brought this up and claimed the following on HC as recently as last month:
[Sorry, @CHIPS, TSE will not allow direct links to that other website, but you can search for the post under the author’s name and the 7 September date…
][…]
Where is the evidence for this? Can anyone provide links to verifiable sources in order to substantiate the above claim? If yes, please share them here with us. I’m especially curious to find out how MB would have managed to work with Loihi long before it was even announced (which was in September 2017) and officially launched (in January 2018).
Here are the facts and timelines that I have so far established for myself.
While I cannot rule out that I may have overlooked something, this whole Mercedes-found-a-new-love-narrative has always seemed pretty fishy to me, and I now happened to stumble across additional evidence to the contrary.
This post is not meant to turn into a discussion about which neuromorphic processor is superior or that only one of them is commercially available as I write - it is about the veracity of the narrative we have been fed for so long by fellow forum members.
In 2018, Intel established the Intel Neuromorphic Research Community (INRC), which includes academic, government and industry research groups. The INRC’s first corporate members were announced in November 2019: Accenture, Airbus, GE and Hitachi. Mercedes-Benz, however, didn’t join the INRC until late 2020.
Intel Announces Neuromorphic Computing Research Collaborators | Min H. Kao Department of Electrical Engineering and Computer Science
Intel announced the Neuromorphic Computing Research Collaborators which include faculty members Jim Plank and Garett Rose as well as alumnus Catherine Schuman.
eecs.utk.edu
Accenture, Airbus, GE and Hitachi Join Intel Neuromorphic Research Community
Nov. 19, 2019 — Today, Intel announced the first corporate members – Accenture, Airbus, GE and Hitachi – to join the fast-growing Intel Neuromorphic Research Community (INRC). The INRC has […]
www.hpcwire.com
At Intel Labs Day on 3 December 2020, which was held as a virtual event, Intel announced “the addition of Lenovo, Logitech, Mercedes-Benz and Prophesee to explore the value of neuromorphic computing for business use cases”.
The following quote by Jasmin Eichler, then Director of Future Technologies at MB, gives no indication whatsoever that Mercedes-Benz had already been evaluating Loihi prior to joining INRC. Unsurprisingly, I should add, since becoming an INRC Research Member (for which a sufficiently detailed project proposal must first be submitted) has always been a prerequisite for being granted access to Loihi.
And no, the mere fact that Accenture Labs - as an early INRC member - had been working with “an undisclosed automotive client” on voice command recognition for interaction with smart vehicles using Loihi in 2020, before Mercedes-Benz joined the INRC, does not prove that this automotive client was Mercedes-Benz (cf @SERA2g ’s post kicking off the BRN - Mercedes subthread:
https://thestockexchange.com.au/threads/brn-mercedes.150/).
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in cars, researchers say.
www.wsj.com
Besides, MB have their own team of future technology researchers and thus wouldn’t have needed to rely on Accenture to explore Loihi on their behalf.
I also doubt Intel would have worded their Intel Labs Day 2020 announcement the way they did if the undisclosed carmaker on behalf of which Accenture was evaluating Loihi had been the same carmaker who had just joined them. The same goes for the author of the WSJ article - if the promising results of the Accenture evaluation had been the reason for the “undisclosed automotive client” to eventually join the INRC themselves, why still keep it a secret in retrospect now they have become a research member? That doesn’t make sense to me.
Anyway, it is definitely not conclusive evidence to support the above claim that Mercedes-Benz had been working with Intel “for years” before they had a change of heart, after falling head over heels in love with Akida.
Oh, and before anyone suggests it: I already DID scroll through all 11 pages of the BRN - Mercedes subthread, but couldn’t find any proof whatsoever of MB’s collaboration with Intel on neuromorphic computing predating the one with BrainChip...
One thing was clear to me from the outset: We know from the horse’s mouth that the VISION EQXX concept car (unveiled during CES in early January 2022) went from idea to prototype in only 18 months, so unless they added in the idea of implementing the voice control function on a neuromorphic chip at a later stage or changed their mind midway about which neuromorphic chip to work with (both highly unlikely, though), the relevant MB engineers must have been familiar with Akida by no later than mid-2020.
Months before Mercedes-Benz even joined the INRC, that is.
Remember the original Mercedes-Benz press release that mentioned systems (in the plural!) based on Akida developed by their engineers? I’d always wondered what else they had explored…
VISION EQXX – taking electric range and efficiency to an entirely new level
Range and efficiency are set to define the electric era. Exceptional range will make electric cars suitable for every journey and help to increase overall adoption.
“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software.”
… and now I know - at least in part!
Voilà, here is proof that Mercedes-Benz were already evaluating Akida for in-car gesture recognition in combination with event-based cameras between October 2019 and June 2020!
I discovered this intriguing piece of information in the LinkedIn work experience section of Gunjan Gupta, now a Senior Software Developer with SAP, who was placed with Mercedes-Benz as a working student during her time when she was enrolled for an IT Master’s programme at Uni Stuttgart - just like other Master students after her, eg Sreelakshmi Rameshan from February to September 2024 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443909 as well as
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-443910)
and Krishnaprasad Thoombayil Satheesh from August 2024 to February 2025 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-468997).
While the two of them also wrote their Master’s theses during their industrial placement (both of them doing comparisons involving Akida, Loihi 2 and SynSense Speck), Gunjan Gupta wrote her Master’s thesis on an unrelated topic and only after her part-time job as a working student with MB (1 year 5 months in total) had ended. Why she did not pick a topic relating to what she had worked on with the BrainChip ADE (Akida Development Environment), we can only speculate.
So to sum it up: If we are to believe Gunjan Gupta’s LinkedIn profile (and I don’t have any reason to doubt the information provided), Mercedes-Benz researchers were already working with Akida as early as October 2019 - more than a year before they joined the Intel Neuromorphic Research Community!
This timeline also explains, by the way, why there was never any announcement about Mercedes-Benz having joined the EAP (Early Access Program) - just like Ford, they had already become a BrainChip customer months before the EAP was officially launched in June 2020. As I noted before, MB were, however, referred to as one of BrainChip’s “Marquee EAP customers” from at least as early as September 2023 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-464731).
So unless someone can come up with compelling evidence for the claim that Mercedes-Benz had indeed worked with Loihi “for years”, before picking Akida as their neuromorphic processor of choice for their VISION EQXX concept car, let’s banish this widely held belief to where I strongly suspect it belongs: to the realm of myths and fairy tales.
Interesting
#artdeco #automateddriving #brainchip #electricshowcar #futurride #iconicdesign #mercedesbenz #mercedesbenzvisioniconic #neuromorphiccomputing #photovoltaicpaint #shanghaifashionweek #solarpaint… | Futurride
Mercedes-Benz wows Shanghai Fashion Week with Vision Iconic Revealed alongside a fashion collection and design book, the electric show car is inspired by the brand’s heritage but designed for its future with a stunning shape, a lit grille and hood ornament, and Art Deco-inspired interior...
View attachment 92068
A / Dr Tony Lewis
B / Neuromorphic
C / State Space Models
D / Legendre
However , Tony Lewis considers ABR a competitor .
Boab
I wish I could paint like Vincent
From the 30min on time frame Dr Harbor talks about the start up of Neuromorphic computing and he goes on to say
"At the end of the day after the long haul we are going to see the analog neuromorphic like processor is going to win out."
We are digital but we use Spikes instead of 1's and 0's is my understanding.
Now I'm confused. Any further explanation would be gratefully accepted.
Frangipani
Top 20
By the way: The 10 December 2020 WSJ article I referred to in my previous post shows that you should take all those predictions that constantly get posted on LinkedIn with shovels of salt:
www.wsj.com
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in cars, researchers say.
www.wsj.com
CHIPS
Regular
Can you please all stop this Trump-discussion?! This forum is about BrainChip! Find your own forum for Trump!
Thank you.
#edhpc2025 #edgeai #esa #onboardprocessing #aiinspace #kubernetes #mlops #satelliteasaservice | OHB Hellas
🌌 Today at EDHPC 2025, Evgenios Tsigkanos presented our approach to Satellite-as-a-Service, orchestrating ML workloads across various edge hardware platforms like a cloud cluster. 🚀 Our demo highlighted applications such as vessel, cloud, flood, and fire detection. We harnessed the power of...
Sorry if already posted.
Hi Boab , as you know Dodgy has posted many times about the issues with analog and we know that the human brain does not compute using 1s and 0s , this is why some in the industry don’t consider the Akida SOC to be truely neuromorphic .
Also important to note , that we are not alone .
All in my opinion ……
Last edited:
Also interesting I’m sure already posted… not sorry…
www.linkedin.com
Neuromorphic Computing: How Spiking Neural Networks Work | The AI Cowboys posted on the topic | LinkedIn
What is Neuromorphic Computing? (The Brain in Silicon) What are Spiking Neural Networks? ⬇️ Think of traditional computer chips as incredibly fast calculators that never rest, constantly consuming power even when idle. Neuromorphic chips, by contrast, work like your brain: individual neurons...
ChipMan
Founding Member
What a load of rubbish. Look at you calling Trump a pedo with no proof whatsoever.. your mate Joe Biden was letting the kiddy fiddlers in with the rapists and murders and god knows what else.. that’s the thing with you lefties you have no common sense
As Srini Pagidyala says, the World model efforts are being done in reverse.. I really wonder if only a few real AI researchers and entrepreneurs work on first principles. | Raam Venkatesan
As Srini Pagidyala says, the World model efforts are being done in reverse.. I really wonder if only a few real AI researchers and entrepreneurs work on first principles.
This is not a video game. With lethal connectivity, EagleEye enables Warfighters to command and control unmanned systems and call for fires through a heads-up, hands-free display. | Anduril Industries | 64 comments
This is not a video game. With lethal connectivity, EagleEye enables Warfighters to command and control unmanned systems and call for fires through a heads-up, hands-free display. | 64 comments on LinkedIn
Anduril?
Hi Doz,
The basic difference between analog and digital is that analog is a representation of a physical value as a voltage or current. A physical value (light intensity, sound volume, ...) is detected by a sensor (camera pixel, microphone, ...), and the sensor produces an analog signal as a voltage proportional to the strength of the signal. The voltage is a direct analog of the sensor output signal.
In digital, usually continuous signals (sound) are sampled at at least twice the highest frequency it is desired to capture.
Digital is a mathematical representation of a value. The same sensor produces the same analog signal, which is converted to digital format in an analog-to-digital converter (ADC).
Digital signals are usually "ones" and "zeros":
4-bit binary-to-decimal conversion:
0000 = 0
0001 = 1
0010 = 2
0011 = 3
0100 = 4
0101 = 5
0110 =6
0111 = 7
1000 = 8
1001 =9
...
1111 = 15
The number of binary bits determines how many distinct values of the ADC input signal can be representer in digital. The more bits, the greater the accuracy, but the more bits, the more power to do a calculation.
Last edited:
Similar threads
