BRN Discussion Ongoing
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The “now and next” of enterprise AI — what you need to know - Satalia
AIs that market to other AIs. Brain-like AIs 100x faster than ChatGPT. And the end of work as we know it. Click to discover how AI is reshaping business.www.satalia.com
Here is a snippet from a podcast published online on the 7 August 2024, where Satalia's CEO & WPP Chief AI Officer, Daniel Hulme, talks about neuromorphic computing and Spiking Neural Networks.
Hi Bravo...some nice posts over the last few days, great work...after your very convincing post/s highlighting a possible solid connection to Veritone with it's aiWARE product/s.
I went back through my Linkedin conversations with Chad Steelberg, who at the time was the CEO and Chair of the Board of Directors, before handing off both titles during 2023 and 2024 to his brother Ryan.
My few conversations with Chad were in 2019/2020 and in September 2020 when I asked about our potential of being embedded within Veritone aiWare product/s he said at the time......
Chad Steelberg 11:12 PM
"Thanks for the note. Not much engagement at this time, but congrats on the progress"
We had issues with Studio and I'm reasonably comfortable in saying that, I think we aren't involved with Veritone in anyway.
BUT I HOPE I'M 100% WRONG, AS HAPPENS OFF AND ON
Another interesting point is that with our 2024 Annual Report due out any day now, I just wonder if the Top 20 maybe coupled
with the report....hopefully there is nothing to rock the boat, we need surprises on the revenue front.
Tech (I know nothing)
Looks like MB.OS is a rebranding of QNX out of Waterloo uni.
QNX is already in use in all the major car makers vehicles - BMW, Bosch, Continental, Dongfeng Motor, Geely, Ford, Honda, Subaru, Toyota, Volkswagen, Volvo, and more.
So, it looks to me that we've been used by MB in a slimy sort of way.
In fact QNX is an Unix-like, real-time operating system that is embedded in not only cars, but medical devices, machinery, and other devices.So I wonder if BRN will produce drivers for QNX as well as linux?
www.blackberry.com
QNX is already in use in all the major car makers vehicles - BMW, Bosch, Continental, Dongfeng Motor, Geely, Ford, Honda, Subaru, Toyota, Volkswagen, Volvo, and more.
So, it looks to me that we've been used by MB in a slimy sort of way.
In fact QNX is an Unix-like, real-time operating system that is embedded in not only cars, but medical devices, machinery, and other devices.So I wonder if BRN will produce drivers for QNX as well as linux?
BlackBerry Unveils Strategic Relaunch of QNX Brand to Reinforce Leadership in Automotive and General Embedded Industries
WATERLOO, CANADA – January 2, 2025 – BlackBerry Limited (NYSE: BB; TSX: BB) today announced a divisional name change and the relaunch of its QNX brand to boost recognition and reinforce its leadership within the automotive and general embedded industries.
Food4 thought
Regular
I believe that NVIDIA report is out on Thursday USA time according to comm bank report
uiux
Regular
Looks like MB.OS is a rebranding of QNX out of Waterloo uni.
QNX is already in use in all the major car makers vehicles - BMW, Bosch, Continental, Dongfeng Motor, Geely, Ford, Honda, Subaru, Toyota, Volkswagen, Volvo, and more.
So, it looks to me that we've been used by MB in a slimy sort of way.
In fact QNX is an Unix-like, real-time operating system that is embedded in not only cars, but medical devices, machinery, and other devices.So I wonder if BRN will produce drivers for QNX as well as linux?
BlackBerry Unveils Strategic Relaunch of QNX Brand to Reinforce Leadership in Automotive and General Embedded Industries
WATERLOO, CANADA – January 2, 2025 – BlackBerry Limited (NYSE: BB; TSX: BB) today announced a divisional name change and the relaunch of its QNX brand to boost recognition and reinforce its leadership within the automotive and general embedded industries.
"Looks like MB.OS is a rebranding of QNX out of Waterloo uni."
Where is this info from
uiux
Regular
Looks like MB.OS is a rebranding of QNX out of Waterloo uni.
QNX is already in use in all the major car makers vehicles - BMW, Bosch, Continental, Dongfeng Motor, Geely, Ford, Honda, Subaru, Toyota, Volkswagen, Volvo, and more.
So, it looks to me that we've been used by MB in a slimy sort of way.
In fact QNX is an Unix-like, real-time operating system that is embedded in not only cars, but medical devices, machinery, and other devices.So I wonder if BRN will produce drivers for QNX as well as linux?
BlackBerry Unveils Strategic Relaunch of QNX Brand to Reinforce Leadership in Automotive and General Embedded Industries
WATERLOO, CANADA – January 2, 2025 – BlackBerry Limited (NYSE: BB; TSX: BB) today announced a divisional name change and the relaunch of its QNX brand to boost recognition and reinforce its leadership within the automotive and general embedded industries.
Found something all good
Here’s how Mercedes hopes its new OS will give it an advantage
Quicker in-car updates and longer vehicle lifecycles are coming, Mercedes says.
arstechnica.com
I think it is a valid question to ask: is MB really writing their own OS or is it a re-branding of an existing OS.
I haven't seen MB answer the question, but I do know that back in the day QNX was the OS for realtime data routing. It's from Waterloo Uni, and a quick google will show that it's already in about 300million vehicles plus medical devices, and lo and behold, the owners of QNX, Blackberry, are suddenly (last month) pushing its public awareness.
I don't have any proof other than the above, which seems to be logical, and if true, might mean that we should understand what it means.
There are people here on this forum who are currently writing AKD1000 drivers for Windows.
What do you think?
Yes, well. As you are probably aware much of the performance saving may be the simple fact that they are running a form of QNX, a micro-kernel OS.Found something all good
Here’s how Mercedes hopes its new OS will give it an advantage
Quicker in-car updates and longer vehicle lifecycles are coming, Mercedes says.
On the one hand MB.OS is just a rebranding of QNX, and so we shouldn't expect too much from them.
On the other hand if MB are smart enough to select QNX, they might be smart enough to select Akida.
Either way the question remains: Why no Akida driver for QNX?
uiux
Regular
If they have based MB.OS off QNX they would just write their own proprietary driver.
Mercedes are designing MSOCs. They don't need drivers for pcie cards, they will likely be working with chips on their own interfaces
Humble Genius
Regular
We have several open positions. | M Anthony Lewis
We have several open positions. Yes, we receive many applications, and yes, many candidates are extremely well qualified from top companies and universities. But we’re searching for that “needle in a haystack.” If you’re a recruiter, before reaching out, know this: we’re specifically looking for...
supersonic001
Regular
We have several open positions. | M Anthony Lewis
We have several open positions. Yes, we receive many applications, and yes, many candidates are extremely well qualified from top companies and universities. But we’re searching for that “needle in a haystack.” If you’re a recruiter, before reaching out, know this: we’re specifically looking for...
Team refinement ……
DingoBorat
Slim
I know someone perfect for the job, but I hear he just started a new position at some GPU mob..
We have several open positions. | M Anthony Lewis
We have several open positions. Yes, we receive many applications, and yes, many candidates are extremely well qualified from top companies and universities. But we’re searching for that “needle in a haystack.” If you’re a recruiter, before reaching out, know this: we’re specifically looking for...www.linkedin.com
Team refinement ……
View attachment 77998
overpup
Regular
They don't mention 'loyalty' in the must-haves, so he might be able to get back in...
Yep, Those MSOC's 'll transform your plebean vehicle from thirsty gas guzzler to thrifty gaslighter. Good luck to them! My skyline had a minicomputer, and all MB's had was automatic fuel openers that opened when the level got low. Those feckers use to open all the time.
walderamaa
Emerged
BrainChip Holdings Umsatz 2025 | AU000000BRN8 | BRN.AX
Der Umsatz von BrainChip Holdings 2025 ist 398.000,00 USD. Im Jahr 2025 erreichte BrainChip Holdings einen Umsatz von 398.000,00 USD, eine 71,55% Differenz im Vergleich zu dem Umsatz 232.000,00 USD im Vorjahr.
If anyone's curious about what francois Piednoel has been working on at Mercedes:
WO2024230948A1 AUTONOMOUS VEHICLE SYSTEM ON CHIP 20230510
Applicants: MERCEDES BENZ GROUP AG [DE]; Inventors: PIEDNOEL FRANCOIS [US]
[0047] In various examples, the system on chip 300 can further include a machine-learning (ML) accelerator chiplet 350 that is specialized for accelerating Al workloads, such as image inferences or other sensor inferences using machine learning, in order to achieve high performance and low power consumption for these workloads. The ML accelerator chiplet 350 can include an engine designed to efficiently process graph-based data structures, which are commonly used in Al workloads, and a highly parallel processor, allowing for efficient processing of large volumes of data. The ML accelerator chiplet 350 can also include specialized hardware accelerators for common Al operations such as matrix multiplication and convolution as well as a memory hierarchy designed to optimize memory access for Al workloads, which often have complex memory access patterns.
Now I'm sure Francois knows at least one ML accelerator which does not use matrix multiplication (MM), but TENNs does use MM.
This one is interseting in that it shows the use of redundant SoCs:
WO2024230971A1 MULTIPLE SYSTEM-ON-CHIP ARRANGEMENT FOR VEHICLE COMPUTING SYSTEM 20230510
An interesting unrelated development, not yet shown to be suitable for automotive, is replacable clip-in chiplets (a bit like a SIM card), as this would enable the upgrading of the physical chiplet. However, the technology would need to be proven in the hostile vibrational environment of a car.
Multi-Chiplet Implementation of a Replaceable Integrated Chiplet (PINCH) Assembly
With the continuous growth of disaggregated systems, a need for new modular platforms to facilitate integration arises. A rePlaceable INegrated CHiplet (PINCH) assembly technology with the capability for reassembly, upgradeability, testing, and prototyping systems of multiple chiplets at once is presented. PINCH consists of a socket platform, positive self-alignment structures (PSAS), compressible micro interconnects (CMIs), and an interposer for die-to-die connectivity. The substrate-agnostic PSAS-to-PSAS self-alignment technology allows us to achieve sub-micrometer alignment accuracy without the need for advanced alignment equipment. CMIs are nonpermanent compliant OFF-chip electrical interconnects with the capability of compensating for height differences and nonuniform assembly force. 2-D arrays of 33×33 150 μm pitch CMIs are tested using the PINCH assembly platform and four-wire resistance measurements are reported. The total I/O count comes to 1089 per die. Single-chiplet and multi-chiplet implementations of PINCH are discussed. The total average resistance between chiplets was 113.8 mΩ for the single-chiplet assembly and 127.7 mΩ for the multi-chiplet assembly.
In the vibratiing environment, the featherweight mass of a clip-in chiplet would be an advantage, as it would have low momentum and thus be less likely to be displaced. (See DToE)*.
* Diogenese Theory of Everything.
WO2024230948A1 AUTONOMOUS VEHICLE SYSTEM ON CHIP 20230510
Applicants: MERCEDES BENZ GROUP AG [DE]; Inventors: PIEDNOEL FRANCOIS [US]
[0047] In various examples, the system on chip 300 can further include a machine-learning (ML) accelerator chiplet 350 that is specialized for accelerating Al workloads, such as image inferences or other sensor inferences using machine learning, in order to achieve high performance and low power consumption for these workloads. The ML accelerator chiplet 350 can include an engine designed to efficiently process graph-based data structures, which are commonly used in Al workloads, and a highly parallel processor, allowing for efficient processing of large volumes of data. The ML accelerator chiplet 350 can also include specialized hardware accelerators for common Al operations such as matrix multiplication and convolution as well as a memory hierarchy designed to optimize memory access for Al workloads, which often have complex memory access patterns.
Now I'm sure Francois knows at least one ML accelerator which does not use matrix multiplication (MM), but TENNs does use MM.
This one is interseting in that it shows the use of redundant SoCs:
WO2024230971A1 MULTIPLE SYSTEM-ON-CHIP ARRANGEMENT FOR VEHICLE COMPUTING SYSTEM 20230510
An interesting unrelated development, not yet shown to be suitable for automotive, is replacable clip-in chiplets (a bit like a SIM card), as this would enable the upgrading of the physical chiplet. However, the technology would need to be proven in the hostile vibrational environment of a car.
Multi-Chiplet Implementation of a Replaceable Integrated Chiplet (PINCH) Assembly
With the continuous growth of disaggregated systems, a need for new modular platforms to facilitate integration arises. A rePlaceable INegrated CHiplet (PINCH) assembly technology with the capability for reassembly, upgradeability, testing, and prototyping systems of multiple chiplets at once is presented. PINCH consists of a socket platform, positive self-alignment structures (PSAS), compressible micro interconnects (CMIs), and an interposer for die-to-die connectivity. The substrate-agnostic PSAS-to-PSAS self-alignment technology allows us to achieve sub-micrometer alignment accuracy without the need for advanced alignment equipment. CMIs are nonpermanent compliant OFF-chip electrical interconnects with the capability of compensating for height differences and nonuniform assembly force. 2-D arrays of 33×33 150 μm pitch CMIs are tested using the PINCH assembly platform and four-wire resistance measurements are reported. The total I/O count comes to 1089 per die. Single-chiplet and multi-chiplet implementations of PINCH are discussed. The total average resistance between chiplets was 113.8 mΩ for the single-chiplet assembly and 127.7 mΩ for the multi-chiplet assembly.
In the vibratiing environment, the featherweight mass of a clip-in chiplet would be an advantage, as it would have low momentum and thus be less likely to be displaced. (See DToE)*.
* Diogenese Theory of Everything.
Frangipani
Top 20
Check out this wonderful new use case: 
A collaboration with Omani start-up Onsor on real-time epilepsy seizure prediction in innovative smart glasses, incorporating both EEG sensors and neuromorphic processing capabilities thanks to AKD1500!
“At Onsor, we believe technology should empower people, not just assist them. That’s why we set out to create something truly life changing. A device that predicts seizures before they happen using AI. By integrating BrainChip’s Akida technology, we’re giving people real-time alerts, the power to take control, and the freedom to live with confidence. Great partnerships create breakthroughs. By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,” said Maadh Al Hinaai, CEO of Onsor Technologies.
The Onsor solution consists of a pair of wearable glasses incorporating EEG sensors, neuromorphic processing capabilities, paired with a user-friendly alert system on a mobile device. The key innovation is a seizure prediction neural network running on BrainChip’s Akida architecture, trained using Onsor data sets to achieve more than 95% accuracy out of the box with incremental learning and personalization algorithms to continuously increase accuracy for the user.
“Wearable devices such as these are only possible due to the innovation of Akida’s neuromorphic approach to produce ultra-low power processing and its ability to optimize the development and deployment of AI applications for the Edge. We look forward to continuing to collaborate with Onsor to advance the capabilities of this revolutionary product throughout its development and introduction into the market.” said Sean Hehir, BrainChip CEO.
www.linkedin.com
www.linkedin.com
onsor.om
LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced a collaboration with Onsor Technologies to enable an innovative approach using neuromorphic computing to predict epileptic seizures utilizing the Akida™ Platform in a wearable design.
“At Onsor, we believe technology should empower people, not just assist them. That’s why we set out to create something truly life changing. A device that predicts seizures before they happen using AI. By integrating BrainChip’s Akida technology, we’re giving people real-time alerts, the power to take control, and the freedom to live with confidence. Great partnerships create breakthroughs. By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,” said Maadh Al Hinaai, CEO of Onsor Technologies.
The Onsor solution consists of a pair of wearable glasses incorporating EEG sensors, neuromorphic processing capabilities, paired with a user-friendly alert system on a mobile device. The key innovation is a seizure prediction neural network running on BrainChip’s Akida architecture, trained using Onsor data sets to achieve more than 95% accuracy out of the box with incremental learning and personalization algorithms to continuously increase accuracy for the user.
“Wearable devices such as these are only possible due to the innovation of Akida’s neuromorphic approach to produce ultra-low power processing and its ability to optimize the development and deployment of AI applications for the Edge. We look forward to continuing to collaborate with Onsor to advance the capabilities of this revolutionary product throughout its development and introduction into the market.” said Sean Hehir, BrainChip CEO.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning on the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, when integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
About Onsor
At Onsor, we take pride in being a prominent technological entity, deeply rooted in Omani culture and national pride, committed to placing the Sultanate at the forefront of the global technology arena with unparalleled expertise. Our core drivers of ideas, innovation, and inspiration empower us to deliver cutting edge technological solutions that elevate the lives of our users.
Go Beyond at Onsor.om.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
A collaboration with Omani start-up Onsor on real-time epilepsy seizure prediction in innovative smart glasses, incorporating both EEG sensors and neuromorphic processing capabilities thanks to AKD1500!
“At Onsor, we believe technology should empower people, not just assist them. That’s why we set out to create something truly life changing. A device that predicts seizures before they happen using AI. By integrating BrainChip’s Akida technology, we’re giving people real-time alerts, the power to take control, and the freedom to live with confidence. Great partnerships create breakthroughs. By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,” said Maadh Al Hinaai, CEO of Onsor Technologies.
The Onsor solution consists of a pair of wearable glasses incorporating EEG sensors, neuromorphic processing capabilities, paired with a user-friendly alert system on a mobile device. The key innovation is a seizure prediction neural network running on BrainChip’s Akida architecture, trained using Onsor data sets to achieve more than 95% accuracy out of the box with incremental learning and personalization algorithms to continuously increase accuracy for the user.
“Wearable devices such as these are only possible due to the innovation of Akida’s neuromorphic approach to produce ultra-low power processing and its ability to optimize the development and deployment of AI applications for the Edge. We look forward to continuing to collaborate with Onsor to advance the capabilities of this revolutionary product throughout its development and introduction into the market.” said Sean Hehir, BrainChip CEO.
BrainChip and Onsor: Advancing Epilepsy Prediction with Neuromorphic AI | BrainChip
BrainChip and Onsor: Advancing Epilepsy Prediction with Neuromorphic AI Powered by BrainChip’s Akida IP Platform, Onsor’s innovative smart glasses are designed to predict epileptic seizures in real-time, providing a non-invasive, user-friendly solution to improve quality of life for individuals...
LinkedIn Login, Sign in | LinkedIn
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Onsor
BrainChip Collaborates with Onsor Technologies To Power Epileptic Seizure-Detecting Glasses
BrainChip Collaborates with Onsor Technologies To Power Epileptic Seizure-Detecting Glasses
www.businesswire.com
BrainChip Collaborates with Onsor Technologies To Power Epileptic Seizure-Detecting Glasses
February 24, 2025 11:00 AM Eastern Standard TimeLAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced a collaboration with Onsor Technologies to enable an innovative approach using neuromorphic computing to predict epileptic seizures utilizing the Akida™ Platform in a wearable design.
“At Onsor, we believe technology should empower people, not just assist them. That’s why we set out to create something truly life changing. A device that predicts seizures before they happen using AI. By integrating BrainChip’s Akida technology, we’re giving people real-time alerts, the power to take control, and the freedom to live with confidence. Great partnerships create breakthroughs. By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,” said Maadh Al Hinaai, CEO of Onsor Technologies.
The Onsor solution consists of a pair of wearable glasses incorporating EEG sensors, neuromorphic processing capabilities, paired with a user-friendly alert system on a mobile device. The key innovation is a seizure prediction neural network running on BrainChip’s Akida architecture, trained using Onsor data sets to achieve more than 95% accuracy out of the box with incremental learning and personalization algorithms to continuously increase accuracy for the user.
“Wearable devices such as these are only possible due to the innovation of Akida’s neuromorphic approach to produce ultra-low power processing and its ability to optimize the development and deployment of AI applications for the Edge. We look forward to continuing to collaborate with Onsor to advance the capabilities of this revolutionary product throughout its development and introduction into the market.” said Sean Hehir, BrainChip CEO.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning on the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, when integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
About Onsor
At Onsor, we take pride in being a prominent technological entity, deeply rooted in Omani culture and national pride, committed to placing the Sultanate at the forefront of the global technology arena with unparalleled expertise. Our core drivers of ideas, innovation, and inspiration empower us to deliver cutting edge technological solutions that elevate the lives of our users.
Go Beyond at Onsor.om.
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
Last edited:
Frangipani
Top 20
We get a couple of mentions in this article by AI Consultant and Venture Capitalist Seth Dobrin (IBM’s former Global Chief AI Officer) - here are some excerpts:
siliconsandstudio.substack.com
www.linkedin.com
Beyond GPUs: Quantum Leaps, Neuromorphic Brains, and Photonic Speed.
Tomorrow’s Compute Architectures & Hardware Will Rewrite AI’s Rulebook.
siliconsandstudio.substack.com
Dr. Seth Dobrin - Qantm AI | LinkedIn
Exponential Change Leader and Life-Long Learner with a proven track record of… · Experience: Qantm AI · Education: Arizona State University · Location: Ridgefield · 500+ connections on LinkedIn. View Dr. Seth Dobrin’s profile on LinkedIn, a professional community of 1 billion members.
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