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We've built the most pervasive CPU architecture in history. Given the pivotal role of the CPU in all AI systems, it's safe to say that AI on Arm is…
BRN Discussion Ongoing
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DingoBorat
Slim
"Time for Brainchip "to surface" and get the screw turning"
Are you saying "BrainChip's" a submarine?
Because, you also said submarines were excepted?
..
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Speaking of efficiency and the CLA Class, here's a Reuters article dated 1 September 2023 citing CEO Mercedes-Benz, Ola Kaellenius, who talks about the additional "challenge of offsetting the power consumption of the high-powered Nvidia chips that will be used to control driver assistance, large infotainment screens and other systems in the CLA and future EVs, he said."
The articles goes on to state that Mercedes engineers have been testing ways to improve EV efficiency with the Vision EQXX.
If this doesn't resolve any doubts of our involvement, then I don't what will, especially when you think about it in light of the article posted by Daimler Media Centre 4 Jan 2022 and more recently Gerrit Ecke's Linkedin post (as above) .
In my opinion, the only two ways this can't involve us would be 1) if NVIDIAs chips were to magically stop being such massive power guzzlers or 2) if a neuromorphic solution other than ours had been incorporated, which is highly unlikely given we are the only one commercially available.
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EXTRACT ONLY Originally Posted by Daimler Media Center 4 Jan 2022
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And here's another 4 year old article which is worth reading as it also touches on the high energy consumption of NVIDIA's chips and how detrimental this is to the vehicles range. It also leads me to suspect that Mercedes and most likely NVIDIA were already well aware of us and what we could bring to the table at that point in time.
Mercedes-Benz & Nvidia Partner On Autonomous Driving — Numerous Thoughts & Questions
4 years agoAlex VoigtSign up for daily news updates from CleanTechnica on email. Or follow us on Google News!
The CEOs of Mercedes-Benz and Nvidia announced today at a press event that they were launching a partnership for a, quoting Ola Källenius, “groundbreaking, software-defined, high-performance computer architecture for driving assistance and autonomous drive. That’s the next generation that will go into the Mercedes fleet targeting a launch sometime towards the end of 2024.”
In a nutshell, Ola Källenius and Jensen Huang announced that they were together building a central vehicle operating architecture and its operating system to allow over-the-air updates for the often-mentioned S-Class, to enable a subscription-based business model. They explained that it will allow the vehicles to improve over time and that they will build on and offer with that architecture different services, including driving assist features and fully autonomous driving in about 5 years from now.
Everything that Mercedes-Benz and Nvidia presented today could have been words from Elon Musk, CEO of Tesla*, 7 years ago in 2013. That is not bad, just late. If all works out as announced, and that is a big if, Mercedes-Benz would launch first functionality for truck hub-to-hub transportation 10 years after Tesla, in late 2024. Today, in 2020, my Tesla in front of my house already delivers most if not all of what Källenius and Huang described, and although I welcome the partnership and approach, it is not only late — but maybe too late.
What Ola Källenius did not explain at the event today is why BMW, Bosch, and Audi, all companies that previously announced similar partnerships with Mercedes-Benz, decided not to be a part of the announcement today. What was also not explained is how Daimler intends to develop software functionality alone that just a few months ago it tried to build as a partner with VW as well as with BMW. And neither of those two competitors apparently knew about the talks Källenius was having with the other.
Finally, it was also not explained how Mercedes-Benz intends to develop autonomous driving software that needs data to train self-learning algorithms without having any real-life driving data yet or even a fleet of vehicles with a required set of cameras and sensors to collect such data. To be honest, the partnership announced today reveals that Mercedes-Benz is more than 10 years behind, and while their intentions may be good, I believe their timeline is not realistic and is missing critical components to attract the necessary talent to build a working solution — including building, as confirmed by Källenius, missing hardware components like sensors.
Just 4 days ago, Mercedes-Benz and BMW announced that they were stopping their planned cooperation and partnership to develop driving-assist systems up to autonomous driving Level 4. An explanation we hear quite often these days was given by both companies — that cost factors and the economic crisis caused by Covid-19 were the root cause why the cooperation was ending. If high costs are the driving factor, is Mercedes-Benz now better off developing everything alone (or just with Nvidia)?
Costs, but also lack of relevant technology and experienced resources, are without a doubt some of the many issues German automakers have when trying to promise new autonomous technology.
“It takes more and more money, more and more software resources, and more and more hardware know-how,” Waymo CEO John Krafcik has said.
It does not make it more convincing, though, that Audi in 2019 was a part of the partnership discussions too but faded out of it late last year. Audi announced in April 2020 that the new Audi A8 flagship vehicle would come without the promised Level 3 autonomous driving capabilities, despite marketing efforts that had hyped it. Hans-Joachim Rothenpieler, Head of R&D and Audi Board Member, announced that the functionality would not to be available and would be left out because of regulatory issues.
Rothenspieler explained that the lack of uniform international legal regulations, in particular the question of liability in the event of an accident often being unclear, was the problem. That sounds again like something that has nothing to do with a lack of functionality for Level 3 autonomy for the Audi A8. Obviously, other automakers are willing to deal with those regulatory challenges, like Mercedes-Benz. Why can’t Audi? Peter Mertens, former Head of R&D at Audi, said on that topic in an interview in June 2020 that his successors may have promised “a little bit too much.”
The CEO of Audi since April 2020, Markus Duesmann, announced 4 days ago that he is taking over the R&D role, and Rothenspieler announced in return that he will leave Audi after working 34 years for Volkswagen Group. Herbert Diess, Volkswagen Group’s CEO, wrote a friendly goodbye PR letter, but it’s known that he brought Duesmann into VW from BMW and promoted him to the R&D role. Draw your own conclusions about that sequence of events.
The original plan of the 3 German automakers — Audi, BMW, and Mercedes-Benz — was to announce the autonomous driving partnership in September 2019 at the IAA conference. Now, 9 months later, just Mercedes-Benz is left. Also, Källenius mentioned that the Bosch partnership to develop robotaxis is also on hold now.
The objective of the partnership last year was, “to jointly develop the next generation of technology for driver assistance systems and automated driving on motorways as well as automated parking functions (each up to Level 4).” The 2019 plan was to deliver the functionality for customers in 2024. Does that somehow sound similar to you about what has been announced today?
Even more interesting is that the talks that started under former Daimler CEO Dieter Zetsche and former BMW CEO Harald Krüger may have been negatively affected after it leaked out that Daimler was in secret talks with VW about software cooperation too. BMW and VW have a relationship that can be best described with the word hostile.
The irritation from BMW, to use a polite word, was severe. Therefore, it is not a surprise that Mercedes-Benz talking with two competitors about the same cooperation secretly in parallel did not create credibility or trust.
Regardless of how we judge what German automakers have done so far, one part is very clear: without functionality that allows more than just basic driving assist support, consumers have a strong reason to turn away from a German vehicle and choose one that offers a reliable solution, like Tesla is offering today.
Since I’ve used the available Full Self Driving capabilities of my Tesla Model 3 about 98% of the time I’ve been driving on the German Autobahn for a year, including automatic lane changes at a top speed of 150 km/h, I may be an exception but can confirm from experience that it works very well. The Tesla Autopilot system even saved me in many situations in which, if I would have been driving myself, I probably would have reacted too late.
For safety, as well as relaxed driving, I herewith testify that never in my life do I intend to buy a vehicle that does not have similar functionality. In other words, if the German automakers won’t be able to deliver on their promises, then I will rule them out even if they offer a nice electric vehicle.
Since Daimler announced the new S-Class will have Level 3 capabilities and BMW said it will have them in the iNext, there are at least two German automakers with announcements that I am looking forward to. In any case, the self-learning algorithms used in those systems need to learn, and they can’t do that in a virtual or simulated environment, only with vehicles driving on real roads.
Also, the known energy consumption of the best Nvidia automotive chips is very high and this will have a negative impact on the vehicle range. To achieve the required critical balance between hardware and software mandates tailor-made solutions that are hard to achieve with a supplier like Nvidia that develops systems and chips for many automotive companies with different hardware, not tailor-made for Mercedes-Benz.
Nvidia may have the best available chips for processing and computing data but this is a part that needs to play perfectly well with other parts in a complex system to achieve the goal defined by many requirements. In the gaming industry that Nvidia is coming from, the energy usage never played an important role, but it does with electric vehicles. If Mercedes-Benz intends to develop autonomous driving functionality for fossil fuel vehicles, though, like the new S-Class, it makes another strategic mistake
Caption from Daimler press release: “Mercedes-Benz and NVIDIA planto build a new software-defined computing architecture for ADAS that will enable state-of-the-art automated driving, to be deployed across Mercedes-Benz’ Future Fleet.” Image courtesy Daimler.
Vertical integration could change that supplier-related issue, but the German automakers didn’t even try up till now to become more vertically integrated and have lost critical time in their continuous ongoing negotiations in recent years that led nowhere.
Having driving data collected is critical as well, and although some test vehicles are seen from time to time in Germany, that does not scale up to the gradual approach from Tesla, which releases more functionality over time and step by step, like traffic light recognition and then going through a green light without confirmation. To have hundreds of thousands of vehicles driving and collecting data in all of the diverse situations of the world is another must-have component a Mercedes-Benz will need to build for many years, but as Källenius said today, they have not even decided on sensors yet. Without that decision, it is hard to imagine how they could line up a timeline to be feature complete by the end of 2024.
For me, as a German, what matters most is that I experienced Tesla Autopilot in the last 12 months and found it to be safer compared to me driving on my own, and I have done that for 35 years and never had an accident or incident — people call me a very safe driver.
In that respect, and it’s my subjective point of view but supported by hard facts and data that Tesla does release, Autopilot is so many years ahead that it may have achieved escape velocity already.
With regards to full autonomy, Källenius announced that truck hub-to-hub transport is their main use case they want to start with. One reason for that could be the latest announcement from Tesla that it is starting production of its Semi truck soon, which with its self-driving technology and lower TCO (total cost of ownership) per km/mile, may cut deep into the order book and demand for Mercedes-Benz commercial vehicles. Robotaxis in an urban environment he sees coming at a later point in time, which means a passenger car from Mercedes-Benz or Daimler with autonomous driving technology won’t be seen before 2024.
Caption from Daimler press release: “Mercedes-Benz, one of the largest manufacturers of premium passenger cars, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions. Working together, the companies plan to develop the most sophisticated and advanced computing architecture ever deployed in an automobile. The new software-defined architecture will be built on NVIDIA DRIVETM and will be standard in Mercedes-Benz’ next-generation fleet, enabling state-of-the-art automated driving functionalities.” Image courtesy Daimler.
What I heard today is another one of those announcements that German automakers make to keep word of mouth going, with many promises to develop solutions that often never see daylight.
I hope to be wrong, but what has been presented to me today did not fit together.
*Disclaimer: I am a Tesla Shareholder
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Fact Finder
Top 20
Hi BravoSpeaking of efficiency and the CLA Class, here's a Reuters article dated 1 September 2023 citing CEO Mercedes-Benz, Ola Kaellenius, who talks about the additional "challenge of offsetting the power consumption of the high-powered Nvidia chips that will be used to control driver assistance, large infotainment screens and other systems in the CLA and future EVs, he said."
The articles goes on to state that Mercedes engineers have been testing ways to improve EV efficiency with the Vision EQXX.
If this doesn't resolve any doubts of our involvement, then I don't what will, especially when you think about it in light of the article posted by Daimler Media Centre 4 Jan 2022 and more recently Gerrit Ecke's Linkedin post (as above) .
In my opinion, the only two ways this can't involve us would be 1) if NVIDIAs chips were to magically stop being such massive power guzzlers or 2) if a neuromorphic solution other than ours had been incorporated, which is highly unlikely given we are the only one commercially available.
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EXTRACT ONLY Originally Posted by Daimler Media Center 4 Jan 2022
View attachment 54738
Brilliant research.
“When deployed at scale” - Mercedes Benz
“Everywhere” - Edge Impulse
My opinion only DYOR
Fact Finder
HopalongPetrovski
I'm Spartacus!
Unseen images of code breaking computer that helped win WW2
Intelligence agency GCHQ say pictures of Colossus a reminder of the UK ingenuity that helped defeat Hitler.
"Unseen images of code breaking computer that helped win WW2.
GCHQ has released never before seen images of Colossus, the UK's secret code-breaking computer credited with helping the Allies win World War Two.The intelligence agency is publishing them to mark the 80th anniversary of the device's invention.
It says they "shed new light" on the "genesis and workings of Colossus", which is considered by many to be the first digital computer.
Its existence was kept largely secret until the early 2000s."
I wonder if the 'confidential' usage of our Akida tech by the security and military services will take as long to be revealed.
I don't mind if you're using it guys to keep ahead of the commies, but ffs, how about paying us!!! hmmmm???
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Colorado23
Regular
Im surprised to hear some speak negatively of Brainchips choice to follow in ARM's footsteps ie buisness model. I for one think that our affiliation with ARM will eventually be our largest revenue stream. Its hard to conduct research on the topic of chip manufacturers without hearing about ARM and how their competitors such as QUALCOMM and AMD are all employing ARM's designs.
www.arm.com
As TECH states, 2025 may be the year that sees our partnerships with ARM, Intel Labs etc come to fruition via mobile devices(phones/laptops).
Good luck to all
BrainChip
Ubiquitous, distributed AI.<br/>Close to the sensor.<br/>Inspired by the human brain. <br/>
www.arm.com
As TECH states, 2025 may be the year that sees our partnerships with ARM, Intel Labs etc come to fruition via mobile devices(phones/laptops).
Good luck to all
Colorado23
Regular
Video | Conferences On Demand
Okeydokey01
Regular
Its the quality of our partners and those companies known to be working with us that qualify the tech and its application in market beyond anything else for me. These companies know their clients needs and in choosing to work with Brainchip validate the fact for me that our tech is the future. These guys have engaged and seen far more than any poster or investor, they have done so and decided to progress the relationship further and incorporate our tech into their products.nice Arm post on LinkedIn a couple Hours ago
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Listen to 'This is Our Mission' podcast on edge AI | Arm posted on the topic | LinkedIn
How can we bring advanced AI capabilities to edge devices and meet the growing demand for on-device AI? 🚀 In the latest episode of the 'This is Our Mission'…www.linkedin.com
If we didn't have the goods or didn't solve their problem and allow them a competitive advantage in their market there would be no progression and engagements would be terminated, or not started at all. AI is an increasingly competitive space, Tier 1 companies are not going to engage with an AI technology or company that wasn't at the forefront of innovation and capability. These are important strategic partnerships from their perspective and are decisions not made lightly. The caliber of these known companies is what makes me excited about the potential of the unknown ones.
There has been frustration and noise re the SP, and I for one did not expect to see us back at these levels. However I will take the opinions of the tech minds at the companies we are engaged with over those of forum posters, down rampers and others ever day of the week. From where I sit there is so much happening, we are in a better position than ever and Its only a matter of time.
Happy weekend all, and all in my own opinion of course.
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The over-the-air bit is interesting, because that's where Qualcomm comes in. So that doubled the cost, and, as I mentioned the other day, getting model libraries is a big issue, let alone a CNN2SNN model library.
Trumpy?
Dynamic Vision Sensor (DVS) and the Dynamic Audio Sensor (DAS)nice Arm post on LinkedIn a couple Hours ago
View attachment 54731
Listen to 'This is Our Mission' podcast on edge AI | Arm posted on the topic | LinkedIn
How can we bring advanced AI capabilities to edge devices and meet the growing demand for on-device AI? 🚀 In the latest episode of the 'This is Our Mission'…
Dynamic Vision Sensor (DVS) and the Dynamic Audio Sensor (DAS)
Have you ever wondered how the human eye👁️ and ear👂 can process complex and dynamic scenes with such high speed and accuracy? Imagine if we could design artificial sensors that mimic the biological mechanisms of vision and hearing, and produce data that is more efficient and meaningful than conven
Schnitzel lover
Regular
There’s nothing unbiased and balanced about the chatter here.. It’s all positive and hopeful about BRN..
Anyone with a contrarian opinion gets attacked and cancelled.. That just makes people like you a low level human being and a bully..
The only joke here is that people still believe the hype and hope that’s posted by the types of you, “I think the lows in” “the share price is as stable as it’s been in years” “ what an incredible buying opportunity” types of comments are misleading.
Ask any real investors with great success to look at BRN and give a balanced opinion… And you will 100% find they don’t align with yours..
Fact Finder
Top 20
Hi SL
I just rang a real investor I know and he disagrees with you.
Can you provide some other names and telephone contacts of real investors so I can get a few more opinions.
Regards
Fact Finder
I just rang a real investor I know and he disagrees with you.
Can you provide some other names and telephone contacts of real investors so I can get a few more opinions.
Regards
Fact Finder
Fact Finder
Top 20
Worth a second read:
“We’re making AI ubiquitous.”
A short, sweet, and to-the-point M.O. from AIoT company, BrainChip.
A bit more specifically, BrainChip’s mission is to make every device with a sensor (i.e. a concept incredibly applicable to ongoing Internet of Things discussions) truly “AI-smart.” As the self-described “world’s first commercial producer of ultra-low power, fully digital neuromorphic IP,” BrainChip seeks to bring common sense to the processing of sensor data through its expertise in AI, semiconductor design, and software development.
As it continues proving that on-chip AI (close to the sensor) is sensational (even still in its infancy, in terms of raw potential), BrainChip recently released previews of its Akida Edge Box, which is based on neuromorphic technology built in collaboration with VVDN Technologies, a global provider of electronics, engineering, manufacturing and digital services and solutions.
BrainChip’s Akida Edge Box powers scalable AI applications in particularly challenging environments (i.e. where performance and efficiency are even more essential). Designed for vision-based AI workloads, the compact and cost-effective Akida Edge Box is intended for video analytics, facial recognition and object detection (to name a few) and can extend intelligent processing capabilities that integrate inputs from other sensors.
“BrainChip’s neuromorphic technology gives the Akida Edge Box the ‘edge’ in demanding markets such as industrial, manufacturing, warehouse, high-volume retail and even medical care,” said Sean Hehir, CEO of BrainChip. “We are excited to partner with an industry leader like VVDN technologies to bring groundbreaking technology to the market.”
“There is a strong demand for cost-effective, flexible edge AI computation across many industries,” said Puneet Agarwal, co-founder and CEO of VVDN Technologies. “VVDN is excited to offer OEMs its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market.”
The Akida Edge Box was demonstrated at this year’s CES in Las Vegas, and pre-sales are expected to begin this month. For more Akida-related information with impacts that may be felt throughout IoT spaces, read here.
BrainChip's Akida Edge Box, Built in Collaboration with VVDN Technologies, Boosts Vision-Based AI Workloads
By Alex Passett January 15, 2024
“We’re making AI ubiquitous.”
A short, sweet, and to-the-point M.O. from AIoT company, BrainChip.
A bit more specifically, BrainChip’s mission is to make every device with a sensor (i.e. a concept incredibly applicable to ongoing Internet of Things discussions) truly “AI-smart.” As the self-described “world’s first commercial producer of ultra-low power, fully digital neuromorphic IP,” BrainChip seeks to bring common sense to the processing of sensor data through its expertise in AI, semiconductor design, and software development.
As it continues proving that on-chip AI (close to the sensor) is sensational (even still in its infancy, in terms of raw potential), BrainChip recently released previews of its Akida Edge Box, which is based on neuromorphic technology built in collaboration with VVDN Technologies, a global provider of electronics, engineering, manufacturing and digital services and solutions.
BrainChip’s Akida Edge Box powers scalable AI applications in particularly challenging environments (i.e. where performance and efficiency are even more essential). Designed for vision-based AI workloads, the compact and cost-effective Akida Edge Box is intended for video analytics, facial recognition and object detection (to name a few) and can extend intelligent processing capabilities that integrate inputs from other sensors.
“BrainChip’s neuromorphic technology gives the Akida Edge Box the ‘edge’ in demanding markets such as industrial, manufacturing, warehouse, high-volume retail and even medical care,” said Sean Hehir, CEO of BrainChip. “We are excited to partner with an industry leader like VVDN technologies to bring groundbreaking technology to the market.”
“There is a strong demand for cost-effective, flexible edge AI computation across many industries,” said Puneet Agarwal, co-founder and CEO of VVDN Technologies. “VVDN is excited to offer OEMs its experience and expertise in bringing the advanced, transformative technology integrations that meet market needs and eventually help them with faster time to market.”
The Akida Edge Box was demonstrated at this year’s CES in Las Vegas, and pre-sales are expected to begin this month. For more Akida-related information with impacts that may be felt throughout IoT spaces, read here.
I have been contemplating a similar line of reasoning of late.
It seems to me that the nature of our partner relationships is becoming somewhat more blurred.
In particular, some of the great relationships that we have been showcasing of late would 18 months ago have been expected to sign an IP licence.
Microchips, Tata and Teksun are possible examples of this and appear on some dimensions to be not dis-similar arrangements to renesas and megachips (clearly though the details of these arrangements have understandably not been shared).
That is, they are all working on solutions that contain our IP which are available for purchase by third party businesses, particularly their customers.
I do think that there is also another category of partner, such as VVDN and Onsemi where it appears that we support the development of a particular specific solution without an upfront licence fee for presumably an increased share of the resultant revenue.
Is it possible if we have generally softened on requiring up front licence fees ( either permanently or temporarily) from partners that so called IP licence agreements would not need to be disclosed as price sensitive given that it would be impossible to determine the quantum of revenue that might flow from such an arrangement. Hence, the financials would be the only way to see results?
Just musings obviously and be well off the mark.
Fact Finder
Top 20
Hi SL
While I am waiting for your list I found another one you will like as she practises the dark art of charting like yourself and is said to be very successful.
Regards
FF
dolci
6,469 Posts.
3987
19/01/24
19:05
Post #: 71970603
Fact Finder
Top 20
Hi C
In the Q&A at either the last AGM or the one before a shareholder asked whether Brainchip had considered being more flexible with its pricing and demanding upfront licence fees to encourage customers and the Chair I think it was answered first saying they were in fact quite flexible or words to that effect and the CEO agreed.
It was in the Q&A so the actual question and answers should be available.
My opinion only DYOR
Fact Finder
AusEire
Founding Member.
What balanced opinion would that be then?
Townyj
Ermahgerd
Found a place you can go back to...
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