I guess everything that Renesas post may not be relevant to brainchip and this group, no?ONSEMI is a supplier to APPLE amongst others
View attachment 48074
onsemi Collaborates with Renesas to Power Best-in-Class System Performance for Enhanced Safety in Semi-Automated Driving
Integration of the Hyperlux™ Image Sensor family onto Renesas’ R-Car V4x Platform provides cutting-edge automotive vision systems to OEMs and Tier1swww.onsemi.com
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
buena suerte :-)
BOB Bank of Brainchip
Yep interesting! Buy & Sell ratios are also looking better
430 buyers for 21,409,589 units
231 sellers for 9,075,271 units
SharesForBrekky
Regular
Yeah, looks like a lot of activity happening here. With these big orders on the sidelines, I'm guessing it could be instos getting quite active as well.Yep interesting! Buy & Sell ratios are also looking better
430 buyers for 21,409,589 units
231 sellers for 9,075,271 units
toasty
Regular
Well for one thing they could stop giving themselves and management bonuses and cheap (free) shares until some commercial progress is achieved...........
buena suerte :-)
BOB Bank of Brainchip
Will we get taken down to 15c to fill their orders!!???(Hope not) but it's great to see the 'Buy' side filling up!
Oh how we so need a 'Solid announcement' NOW!!!!
A better look this morning
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Schnitzel lover
Regular
Confusing as it was assumed this was the tape-out connected with MCU 85.. But obviously what you’re saying is there’s a suite of them with variances that mean Akida is only in AI accelerator MCU 85 use cases..
Schnitzel lover
Regular
$300k for CEO bonus for 2022 raised my eyebrows. Assume that was for an expanding ecosystem proliferation for BRN.. Time to consolidate those into actionable outcomes..
raybot
Member
At what point were you voted as shareholder spokesperson ? I am extremely pleased with company progress, you do not speak for me.
buena suerte :-)
BOB Bank of Brainchip
We get a bit of exposure and a positive mention from ..TS2 (Global satellite Services).. 
Who are the leaders in neuromorphic computing?
- by Iwona Majkowska
- in Artificial intelligence, Artificial intelligence, Healthcare, News
- on 23 October 2023
Exploring the Pioneers of Neuromorphic Computing
Neuromorphic computing, a cutting-edge field that aims to replicate the functionality of the human brain through advanced computer systems, has gained significant attention in recent years. As this technology continues to evolve, it is crucial to identify the key players who are leading the way in this exciting domain. Let’s delve into the world of neuromorphic computing and explore the pioneers who are shaping its future.Firstly, it is essential to understand what neuromorphic computing entails. In simple terms, it refers to the development of computer systems that mimic the structure and functionality of the human brain. These systems are designed to process information in a parallel and distributed manner, enabling them to perform complex tasks with remarkable efficiency. By emulating the brain’s neural networks, neuromorphic computers have the potential to revolutionize various industries, including artificial intelligence, robotics, and even healthcare.
One of the frontrunners in the field of neuromorphic computing is IBM. The company’s research division has been actively involved in developing neuromorphic hardware and software platforms. IBM’s TrueNorth chip, for instance, is a notable breakthrough in this domain. It consists of a network of one million neurons and 256 million synapses, enabling it to process information in a highly efficient and brain-like manner. IBM’s dedication to advancing neuromorphic computing has positioned them as a leader in this emerging field.
Another prominent player in the realm of neuromorphic computing is Intel. The company’s Loihi chip, inspired by the human brain’s architecture, has garnered significant attention. Loihi’s unique design allows it to learn and adapt in real-time, making it ideal for applications such as autonomous vehicles and robotics. Intel’s commitment to neuromorphic computing research has propelled them to the forefront of this rapidly evolving field.
Additionally, BrainChip Holdings, an innovative technology company, has made noteworthy contributions to neuromorphic computing. Their Akida™ Neuromorphic System-on-Chip (NSoC) is specifically designed to process data in a manner similar to the human brain. With its low power consumption and high-speed processing capabilities, BrainChip’s Akida™ NSoC is well-suited for edge computing applications, including surveillance, cybersecurity, and more. BrainChip’s dedication to developing efficient and powerful neuromorphic computing solutions has solidified their position as a key leader in this domain.
Furthermore, academic institutions have also played a vital role in advancing neuromorphic computing. The University of Manchester, for instance, is renowned for its SpiNNaker project. SpiNNaker, short for Spiking Neural Network Architecture, is a supercomputer that simulates the human brain’s neural networks. With its million-core architecture, SpiNNaker has paved the way for groundbreaking research in neuromorphic computing. The University of Heidelberg, Stanford University, and the University of Zurich are among other academic institutions actively contributing to this field.
In conclusion, the field of neuromorphic computing is rapidly evolving, and several leaders are driving its progress. IBM, Intel, BrainChip Holdings, and academic institutions like the University of Manchester are at the forefront of this revolutionary technology. As neuromorphic computing continues to mature, it holds immense potential to transform various industries and shape the future of computing as we know it.
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Sure. Let's vote now if you like.
Marcus Ostberg (Mercedes Benz) posted about their AI partners Nvidia, Google, Open Ai, Microsoft and the fact that the partnerships "enhanced" their MBUX "Hey Mercedes" function.
(24) Applications and Opportunities for AI @ Mercedes-Benz | LinkedIn
www.linkedin.com
Applications and Opportunities for AI @ Mercedes-Benz
Magnus Östberg Chief Software Officer at Mercedes-Benz AG
November 1, 2023
...
While we define and control our own hardware and software architecture, the integration of industry-leading technology provides our customers access to best-in-class services, content and features. Our key partners include NVIDIA which contributes with AI and automated driving systems expertise; Google for our next-generation navigation experience and cloud services, plus Microsoft and OpenAI, as featured in our recent ChatGPT beta programme, which enhanced our "Hey Mercedes" MBUX voice assistant.
…
We also launched a ChatGPT beta programme in the U.S. for more than 900,000 vehicles. That complements the existing Hey Mercedes voice control by leveraging a large-language model to massively improve natural language understanding, enhancing our validated data with the more natural dialogue format of ChatGPT.
It is reassuring to see Marcus talk about these partnerships as "enhancing" and "complementing" the existing "Hey Mercedes" functionality, ie, not replacing but expanding and broadening the existing "Hey Mercedes" functionality.
(24) Applications and Opportunities for AI @ Mercedes-Benz | LinkedIn
Applications and Opportunities for AI @ Mercedes-Benz
You can hardly read an article about technology these days without the mention of artificial intelligence (AI). Mercedes-Benz AG early adopted guiding principles for AI, including responsible use, privacy, security and reliability. We have been integrating various AI solutions throughout the...
Applications and Opportunities for AI @ Mercedes-Benz
Magnus Östberg Chief Software Officer at Mercedes-Benz AG
November 1, 2023
...
While we define and control our own hardware and software architecture, the integration of industry-leading technology provides our customers access to best-in-class services, content and features. Our key partners include NVIDIA which contributes with AI and automated driving systems expertise; Google for our next-generation navigation experience and cloud services, plus Microsoft and OpenAI, as featured in our recent ChatGPT beta programme, which enhanced our "Hey Mercedes" MBUX voice assistant.
…
We also launched a ChatGPT beta programme in the U.S. for more than 900,000 vehicles. That complements the existing Hey Mercedes voice control by leveraging a large-language model to massively improve natural language understanding, enhancing our validated data with the more natural dialogue format of ChatGPT.
It is reassuring to see Marcus talk about these partnerships as "enhancing" and "complementing" the existing "Hey Mercedes" functionality, ie, not replacing but expanding and broadening the existing "Hey Mercedes" functionality.
Marcus Ostberg (Mercedes Benz) posted about their AI partners Nvidia, Google, Open Ai, Microsoft and the fact that the partnerships "enhanced" their MBUX "Hey Mercedes" function.
(24) Applications and Opportunities for AI @ Mercedes-Benz | LinkedIn
Applications and Opportunities for AI @ Mercedes-Benz
You can hardly read an article about technology these days without the mention of artificial intelligence (AI). Mercedes-Benz AG early adopted guiding principles for AI, including responsible use, privacy, security and reliability. We have been integrating various AI solutions throughout the...
Applications and Opportunities for AI @ Mercedes-Benz
Magnus Östberg Chief Software Officer at Mercedes-Benz AG
November 1, 2023
...
While we define and control our own hardware and software architecture, the integration of industry-leading technology provides our customers access to best-in-class services, content and features. Our key partners include NVIDIA which contributes with AI and automated driving systems expertise; Google for our next-generation navigation experience and cloud services, plus Microsoft and OpenAI, as featured in our recent ChatGPT beta programme, which enhanced our "Hey Mercedes" MBUX voice assistant.
…
We also launched a ChatGPT beta programme in the U.S. for more than 900,000 vehicles. That complements the existing Hey Mercedes voice control by leveraging a large-language model to massively improve natural language understanding, enhancing our validated data with the more natural dialogue format of ChatGPT.
It is reassuring to see Marcus talk about these partnerships as "enhancing" and "complementing" the existing "Hey Mercedes" functionality, ie, not replacing but expanding and broadening the existing "Hey Mercedes" functionality.
Hey,
I think I heard that Mercedes hasn't implemented Akida for now. Or did I miss something there? I also find it a pity to narrow down the chip's scope to just Mercedes. Akida has so many potential applications, so it wouldn't bother me much if Mercedes is not part of it. If other companies start demonstrating their success with Akida, they'll likely come on board automatically! Just my opinion.
GDJR69
Regular
But their existing MBUX doesn't use Akida and it is not clear to me that Akida is in the beta programme so I'm not sure what your point is but happy to be corrected (someone please correct me!).Marcus Ostberg (Mercedes Benz) posted about their AI partners Nvidia, Google, Open Ai, Microsoft and the fact that the partnerships "enhanced" their MBUX "Hey Mercedes" function.
(24) Applications and Opportunities for AI @ Mercedes-Benz | LinkedIn
Applications and Opportunities for AI @ Mercedes-Benz
You can hardly read an article about technology these days without the mention of artificial intelligence (AI). Mercedes-Benz AG early adopted guiding principles for AI, including responsible use, privacy, security and reliability. We have been integrating various AI solutions throughout the...
Applications and Opportunities for AI @ Mercedes-Benz
Magnus Östberg Chief Software Officer at Mercedes-Benz AG
November 1, 2023
...
While we define and control our own hardware and software architecture, the integration of industry-leading technology provides our customers access to best-in-class services, content and features. Our key partners include NVIDIA which contributes with AI and automated driving systems expertise; Google for our next-generation navigation experience and cloud services, plus Microsoft and OpenAI, as featured in our recent ChatGPT beta programme, which enhanced our "Hey Mercedes" MBUX voice assistant.
…
We also launched a ChatGPT beta programme in the U.S. for more than 900,000 vehicles. That complements the existing Hey Mercedes voice control by leveraging a large-language model to massively improve natural language understanding, enhancing our validated data with the more natural dialogue format of ChatGPT.
It is reassuring to see Marcus talk about these partnerships as "enhancing" and "complementing" the existing "Hey Mercedes" functionality, ie, not replacing but expanding and broadening the existing "Hey Mercedes" functionality.
GDJR69
Regular
This article really irritates me because it makes it sound like IBM and Intel are the leaders in the field and we are trailing along in third trying to keep up with them. We know nothing could be further from the truth. It amazes me that someone who believes they know enough to write an article about neuromorphic computing doesn't even know the basics of what the market looks like at the moment. Not happy.
Who are the leaders in neuromorphic computing?
- by Iwona Majkowska
- in Artificial intelligence, Artificial intelligence, Healthcare, News
- on 23 October 2023
Exploring the Pioneers of Neuromorphic Computing
Neuromorphic computing, a cutting-edge field that aims to replicate the functionality of the human brain through advanced computer systems, has gained significant attention in recent years. As this technology continues to evolve, it is crucial to identify the key players who are leading the way in this exciting domain. Let’s delve into the world of neuromorphic computing and explore the pioneers who are shaping its future.
Firstly, it is essential to understand what neuromorphic computing entails. In simple terms, it refers to the development of computer systems that mimic the structure and functionality of the human brain. These systems are designed to process information in a parallel and distributed manner, enabling them to perform complex tasks with remarkable efficiency. By emulating the brain’s neural networks, neuromorphic computers have the potential to revolutionize various industries, including artificial intelligence, robotics, and even healthcare.
One of the frontrunners in the field of neuromorphic computing is IBM. The company’s research division has been actively involved in developing neuromorphic hardware and software platforms. IBM’s TrueNorth chip, for instance, is a notable breakthrough in this domain. It consists of a network of one million neurons and 256 million synapses, enabling it to process information in a highly efficient and brain-like manner. IBM’s dedication to advancing neuromorphic computing has positioned them as a leader in this emerging field.
Another prominent player in the realm of neuromorphic computing is Intel. The company’s Loihi chip, inspired by the human brain’s architecture, has garnered significant attention. Loihi’s unique design allows it to learn and adapt in real-time, making it ideal for applications such as autonomous vehicles and robotics. Intel’s commitment to neuromorphic computing research has propelled them to the forefront of this rapidly evolving field.
Additionally, BrainChip Holdings, an innovative technology company, has made noteworthy contributions to neuromorphic computing. Their Akida™ Neuromorphic System-on-Chip (NSoC) is specifically designed to process data in a manner similar to the human brain. With its low power consumption and high-speed processing capabilities, BrainChip’s Akida™ NSoC is well-suited for edge computing applications, including surveillance, cybersecurity, and more. BrainChip’s dedication to developing efficient and powerful neuromorphic computing solutions has solidified their position as a key leader in this domain.
Furthermore, academic institutions have also played a vital role in advancing neuromorphic computing. The University of Manchester, for instance, is renowned for its SpiNNaker project. SpiNNaker, short for Spiking Neural Network Architecture, is a supercomputer that simulates the human brain’s neural networks. With its million-core architecture, SpiNNaker has paved the way for groundbreaking research in neuromorphic computing. The University of Heidelberg, Stanford University, and the University of Zurich are among other academic institutions actively contributing to this field.
In conclusion, the field of neuromorphic computing is rapidly evolving, and several leaders are driving its progress. IBM, Intel, BrainChip Holdings, and academic institutions like the University of Manchester are at the forefront of this revolutionary technology. As neuromorphic computing continues to mature, it holds immense potential to transform various industries and shape the future of computing as we know it.
Join me for A.I. Perth Briefing | Carl Cockerham, GAICD posted on the topic | LinkedIn
Are you keen to understand more about A.I. and how Directors and Boards are embracing innovation? Later this month I will be hosting our final Australian…
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buena suerte :-)
BOB Bank of Brainchip
Yep ... I agree we are way ahead of these guys!! But I suppose 'The big guys' get the first look everytime! :-( ( our day will come when we are dominating the headlines and they are still playing catch up ....!)This article really irritates me because it makes it sound like IBM and Intel are the leaders in the field and we are trailing along in third trying to keep up with them. We know nothing could be further from the truth. It amazes me that someone who believes they know enough to write an article about neuromorphic computing doesn't even know the basics of what the market looks like at the moment. Not happy.
We do get coverage all the same! and does say ....has solidified their position as a 'key leader' in this domain.
Onwards and upwards
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buena suerte :-)
BOB Bank of Brainchip
I missed the announcement that Akida will not be in the 2024 Mercedes, but here's a thought.
I always thought that 5 to 10 times improvement in energy efficiency for "Hey Mercedes" was well on the low side, so I went back to the announcement. or at least to SW-F's EETimes report for the EQXX:
“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.
As has previously been discussed, the emphasized section indicates that more than one system incorporating BrainChip hardware or software has been developed. As I said, 5 to ten times improvement seems low for Akida SoC. But how about if they used the Akida simulation software (now rolled up in MetaTF). That way, they could just load it into some other processor, eg, Nvidia, and see how it went without having to get their soldering iron out. (The pinouts on these SoCs is a nightmare). It would still be better than other systems they'd tried, just not as good as Akida SoC. (A PCIe board or Raspberry Pi could have been provided to demonstrate the real capabilities of Akida). It would have been a lot of extraneous work to incorporate the Akida SoC into the hardware of the EQXX for a one-off demonstration.
After all, BrainChip was in the software business with BrainChip Studio 8 years or so ago.
The MetaTF Akida simulator is free for potential customers to try out Akida's functionality, albeit on a limited scale, but for a commercial use, BrainChip would be entitled to a licence fee.
Of course the BrainChip "software" could have included a key-word model library and all the configuration instructions in MetaTF, but Mercedes would have used the Akida simulation software in preliminary testing of the EQXX Hey Mercedes and the other "systems".
With the Akida simulation software, you can have your spikes and eat them too.
The foregoing would probably not apply to lidar detection and other data-heavy, real-time applications.
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