I think we can adapt the old adage "No one ever got fired for buying IBM" to this project.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Bravo
If ARM was an arm, BRN would be its biceps💪!
I had posted about Sebastian Otte being a newly added co-author in the updated Uni Tübingen table tennis robot paper just ten days ago.
To those constantly dissing our competition: Believe it or not, there are actually neuromorphic researchers who appreciate both Akida and Loihi:
View attachment 71044
Those that feel the need to comment on LinkedIn, please make sure you use the correct spelling of our company’s name (Brianchip?!) and of technical terms (neurophonic?!), as this kind of publicity surely doesn’t help us in the public eye.
Hi @Frangipani,
"BOTH ARE EXCELLENT TECHNOLOGIES!"
Our Aussie battler, BrainChip being quite favourably compared to the technological giant that is Intel.
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Humble Genius
Regular
True but Loihi is a research chip and NOT AVAILABLE commercially.....
I hope I'm wrong, but herein lies the problem with all of our thinking. The Loihi chip has been a "research" chip for quite some time. What differentiates a research chip from a production chip? Whats stopping intel from calling their chip "production ready"? I don't think it would be all that hard for intel to go into mass production with Loihi chip at a moments notice, considering all the resources they have. They've probably just made a decision to continue calling it a research chip as a decoy? Who knows? I hope I'm wrong.
Can't get into the new Espacenet web site so reverted to old version.
This is a recent Valeo patent which uses a NN algorithm to monitor moving objects TENNS can do this.
WO2024160994 (A1) - METHOD OF RECONSTRUCTING A PROPERTY OF AN IMAGE AND COMPUTING DEVICE 20230202
The present application relates to a Method of reconstructing a property of an image in a sequence of images with a spiking neural network. The method comprises: obtaining raw data of the image (RDt), calculating a similarity measure using raw data of the image (RDt) and raw data of a previous image (RDt-1) preceding the image in the sequence, if the similarity measure exceeds a predefined threshold: - generating a spike train (ST) for the spiking neural network, the spike train (ST) comprising data encoding differential raw data, wherein the differential raw data (DRD) has been calculated using raw data of the im-age and raw data of the previous image (RDt, RDt-1), - inputting the spike train (ST) to the spiking neural network, - reconstructing the property of the image with the spiking neural network, - outputting the property of the image. The application further relates to a computing device (34), a lidar system (30) comprising the computing device (34) and a vehicle (100) comprising the lidar system (30).
...
The spikes train ST is input to the spiking neural network in step 22 (fig. 1). in step 24, a machine learning algorithm based on the spiking neural networks is executed to reconstruct the depth image RIt based on the quantized differential depth image raw data DRD between image and previous image.
The advantage of embodiments of the method is that depth reconstruction may be performed based on the difference between depth image raw data at two moments in time.
...
The method allows to redesign the processing in camera devices, in particular lidar systems, to use neuromorphic processors and spiking neural networks to create a camera device with event based processing. The method is particularly applicable to direct or indirect time of flight systems of flash type.
...
The control, monitoring and/or evaluation tasks performed may for example be implemented as software executing instructions of an algorithm.
The bit about redesigning the camera is interesting as Valeo released their VSS 360 camera with integrated processor earlier this year.
https://www.valeo.com/en/smart3-equipped-with-valeo-smart-safety-360-receives-5-stars-at-euroncap/
Anyone for TENNiS?
This is a recent Valeo patent which uses a NN algorithm to monitor moving objects TENNS can do this.
WO2024160994 (A1) - METHOD OF RECONSTRUCTING A PROPERTY OF AN IMAGE AND COMPUTING DEVICE 20230202
The present application relates to a Method of reconstructing a property of an image in a sequence of images with a spiking neural network. The method comprises: obtaining raw data of the image (RDt), calculating a similarity measure using raw data of the image (RDt) and raw data of a previous image (RDt-1) preceding the image in the sequence, if the similarity measure exceeds a predefined threshold: - generating a spike train (ST) for the spiking neural network, the spike train (ST) comprising data encoding differential raw data, wherein the differential raw data (DRD) has been calculated using raw data of the im-age and raw data of the previous image (RDt, RDt-1), - inputting the spike train (ST) to the spiking neural network, - reconstructing the property of the image with the spiking neural network, - outputting the property of the image. The application further relates to a computing device (34), a lidar system (30) comprising the computing device (34) and a vehicle (100) comprising the lidar system (30).
...
The spikes train ST is input to the spiking neural network in step 22 (fig. 1). in step 24, a machine learning algorithm based on the spiking neural networks is executed to reconstruct the depth image RIt based on the quantized differential depth image raw data DRD between image and previous image.
The advantage of embodiments of the method is that depth reconstruction may be performed based on the difference between depth image raw data at two moments in time.
...
The method allows to redesign the processing in camera devices, in particular lidar systems, to use neuromorphic processors and spiking neural networks to create a camera device with event based processing. The method is particularly applicable to direct or indirect time of flight systems of flash type.
...
The control, monitoring and/or evaluation tasks performed may for example be implemented as software executing instructions of an algorithm.
The bit about redesigning the camera is interesting as Valeo released their VSS 360 camera with integrated processor earlier this year.
https://www.valeo.com/en/smart3-equipped-with-valeo-smart-safety-360-receives-5-stars-at-euroncap/
Anyone for TENNiS?
Hi @Frangipani,
I prefer to focus on the positive!
"BOTH ARE EXCELLENT TECHNOLOGIES!"
Our Aussie battler, BrainChip being quite favourably compared to the technological giant that is Intel.
View attachment 71063
That's the wrong song ...
https://au.video.search.yahoo.com/s...480569142254f0ef65104128746a1ade&action=click
Both are excellent chunes.
DingoBorat
Slim
Das true, but I think AKIDA 2.0 IP is superior to anything Intel has
Valeo at Paris Motor Show - the interesting bits:
https://www.valeo.com/en/press-kit-...mobility-with-valeo-at-paris-motor-show-2024/
Press briefing on Sunday at 14:00
Monday, October 14, 2024
https://www.valeo.com/en/why-do-you-need-software-in-your-car/
[No mention of BRN/Akida/TENNS] but like reporters and chefs, Valeo never discloses its sauces, even when they have egg on their faces.
https://www.valeo.com/en/press-kit-...mobility-with-valeo-at-paris-motor-show-2024/
Press briefing on Sunday at 14:00
Monday, October 14, 2024
- 17:30-18:00: “The Software Defined Vehicle (SDV): challenges for the industry and opportunities for Valeo” Derek DE BONO, Vice President Software Defined Vehicle
- Tuesday, October 15, 2024:
- 10:20-10:45am: Keynote “The Collective Challenges to make the software defined vehicle a success” by Christophe Perillat – CEO of Valeo. Venue : Dôme de Paris (Porte de Versailles)
https://www.valeo.com/en/why-do-you-need-software-in-your-car/
[No mention of BRN/Akida/TENNS] but like reporters and chefs, Valeo never discloses its sauces, even when they have egg on their faces.
Back in June 2020:
BrainChip signs joint development agreement for Akida neuromorphic chip with Valeo
Artificial intelligence device company BrainChip Holdings (ASX: BRN) has taken an affirmative step towards integrating its Akida neuromorphic chip into autonomous vehicles after signing a binding joint development agreement with European automotive supplier Valeo Corporation.
Full story:
BrainChip signs joint development agreement for Akida neuromorphic chip with Valeo
Artificial intelligence device company BrainChip Holdings (ASX: BRN) has taken an affirmative step towards integrating its Akida neuromorphic chip into autonomous vehicles after signing a binding joint development agreement with European automotive supplier Valeo Corporation.
Quiltman
Regular
AKIDA Pico can perform standalone, or as a co-processor for microcontrollers.
To understand the need, and hence the role AKIDA Pico plays, this article from Onsemi back in 2023 gives some useful insights to the design process, and where we fit in :
Perhaps that is why Renesas took an early bite of the AKIDA IP - do I remember a comment along the lines of 1 node was enough for their needs? Were they thinking MCU wake-up design long ago.
Raspberry PI Pico & Akida Pico - the Ultimate Pico !
Was that a STMicroelectronics employee at our stand last week watching a demo.
And then there is Onsemi of course .... always in the hunt for the most efficient MCU for embedded applications :
All this leads me to a few comments I have extracted from an interview conducted with Steve Brightfield last week on Wireless Watch.
.
To understand the need, and hence the role AKIDA Pico plays, this article from Onsemi back in 2023 gives some useful insights to the design process, and where we fit in :
Perhaps that is why Renesas took an early bite of the AKIDA IP - do I remember a comment along the lines of 1 node was enough for their needs? Were they thinking MCU wake-up design long ago.
Raspberry PI Pico & Akida Pico - the Ultimate Pico !
Was that a STMicroelectronics employee at our stand last week watching a demo.
And then there is Onsemi of course .... always in the hunt for the most efficient MCU for embedded applications :
All this leads me to a few comments I have extracted from an interview conducted with Steve Brightfield last week on Wireless Watch.
.
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Chippers ,
Nearmap, ASX company specialising in aerial imagery, used by many segments of industry.
Interesting , would appear neural networks are the go , who would of thought.
www.reinsurancene.ws
tensorflight.com
Regards ,
Esq.
Nearmap, ASX company specialising in aerial imagery, used by many segments of industry.
Interesting , would appear neural networks are the go , who would of thought.
Nearmap finalises asset purchase agreement for Tensorflight - Reinsurance News
Nearmap, a location intelligence and aerial imagery solutions provider, has completed an asset purchase agreement with Tensorflight. Tensorflight is the
www.reinsurancene.ws
Technology - TensorFlight
Get accurate and near-instant data on global properties via API Tensorflight gives underwriters and insurers access to rich and accurate datasets for commercial property to create better insurance products. Our solution Tensorflight is the first property-inspection platform based on...
tensorflight.com
Regards ,
Esq.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Mercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
www.eenewseurope.com
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-canada.html
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It seems to me that Mercedes is choosing ‘Intel’ purely for image reasons. After all, their ‘all-electric’ policy has led to significant losses, which have forced them to rethink their strategy. Now they have to promote a collaboration with a tech giant to create a ‘wow’ effect. Those who don’t know that they are light years behind our developments are easily impressed. I just hope this doesn’t affect our stock… However, we are still involved in the Intel program, and it’s unclear to what extent. Personally, I don’t care what Mercedes does, as we probably won’t generate high revenues with them, but they are good for prestige. And I just know this is more fodder for bashers and trolls.Mercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024
By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.
The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-canada.html
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Dissapointing newsMercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024
By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.
The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-canada.html
db1969oz
Regular
Mercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024
By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.
The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-can
It’s going to be hard to crack this sort of market until we are a successful proven long term business. Why would you risk not having a proven company to fall back on for support in a case like this, if there’s a choice?Mercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024
By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.
The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-canada.html
AARONASX
Holding onto what I've got
Yes disappointing, if true and we are completely out Brainchip board has some explaining to do, as to why MB is still a listed partner on their website, and they need to explain very quickly!
Bravo
If ARM was an arm, BRN would be its biceps💪!
I don't think so @Tezza.
You have to remember that the above article is in reference to Mercedes utilising Loihi 2 for one research project as Markus Shafer confirmed n his Linkedin post.
If you recall, Mercedes engineers worked with BrainChip on systems (plural). We know one of those systems was for voice control (key word spotting), but we don't know what the other systems were. Hopefully, we'll find out soon because Mercedes also said at the time, these systems will be available in a few years time, which means it should be very soon and, as has been mentioned multiple times, Loihi 2 is still a research chip and not commercially available as yet.
Earlyrelease
Regular
Bravo.Mercedes taps Intel Liohi2 for neuromorphic AI
Mercedes is using the Intel Liohi 2 for neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes taps Intel Liohi2 for neuromorphic AI
Technology News | October 14, 2024
By Nick Flaherty
Automotive AI
Mercedes is leading a project in Germany to use neuromorphic computing to improve the performance of forward-facing automotive radar systems.
Mercedes is using the Intel Liohi 2 neuromorphic event-driven AI processor in the Naomi4radar project, says Markus Schäfer, Member of the Board of Management of Mercedes-Benz Group and Chief Technology Officer for Development & Procurement. Using neuromorphic, event driven algorithms and processors can increase the speed of response of the radar systems, he says.
The project is funded by the German Federal Ministry for Economic Affairs and Climate Action to assess how neuromorphic computing can be used to optimise the processing of radar data in automated driving systems.
Mercedes is also working with Karlsruhe University of Applied Sciences on neuromorphic cameras, also known as event-based cameras.
The main focus for neuromorphic computing research is an agreement with the University of Waterloo in Canada with on research led by Prof. Chris Eliasmith.
The focus is on the development of algorithms for advanced driving assistance systems. By mimicking the functionality of the human brain, neuromorphic computing could significantly improve AI computation, making it faster and more energy-efficient.
While preserving vehicle range, safety systems could, for example, detect traffic signs, lanes and objects much better, even in poor visibility, and react faster. Neuromorphic computing has the potential to reduce the energy required to process data for autonomous driving by 90 percent compared to current systems.
The work with the University of Waterloo complements a series of existing Mercedes-Benz research collaborations on neuromorphic computing that includes end-to-end neuromorphic AI learning for autonomous driving.
Startups in the the Ontario Vehicle Innovation Network (OVIN) will also join the growing international Mercedes-Benz STARTUP AUTOBAHN network. The initiative aims to drive transfer research and development to industrialisation.
The OVIN Incubators Program will focus on identifying and fostering innovation in future software & AI, future vehicle components and future electric drive. Working with startups, and in partnership with OVIN, Mercedes-Benz will help progress promising projects through the provision of its specialist expertise and use cases.
“Innovation is part of Mercedes-Benz DNA. In our global R&D strategy, open innovation gives us rapid and direct access to the latest ideas and developments around the world,” said Schäfer. “We are therefore delighted to further expand our activities in Canada as a founding partner of the OVIN Incubators. In a fast-paced environment, it is another important channel for developing exciting future products and elevating our customer experience through new technologies.
In its pilot phase, the OVIN Incubators Program will conduct startup scouting to identify opportunities in Ontario relevant to Mercedes-Benz fields of research. The aim is to empower startups to engage with industry and establish a robust pipeline of companies whose growth can be catalysed. Together, OVIN and Mercedes-Benz will narrow down an initial longlist through a process of evaluation, ultimately arriving at individual projects that will progress to proof-of-concept based on Mercedes-Benz use cases.
https://group.mercedes-benz.com/company/news/open-innovation-canada.html
Whilst it looks sad for us I look at it this way. If I was a big tech company going to go down the neuromorphic route in new tech I would be testing all products out there to see what capabilities they have. By doing hands on testing a company can then apply best fit solutions to their needs. While this is risk for us time will tell how good our product is and where and what parts of their eco system they see it fitting into. Now intel brings a big name and some customer reassurance which we will only get with ongoing sales and time in market building a reputation of chip durability. So for me I hope Pico gets us in market in small things and our bigger chips keep getting tested and compared as eventually somebody will go with us based on value and quality. My thoughts
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