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Qualcomm Is Poised to Dominate EVs Before Apple Gets a Chance​

Its digital chassis is an internet-connected platform for the whole car, and the tech giant has General Motors, Jeep, Mercedes, and many more on board.
Qualcomm Digital Chassis Electric Vehicle on a brightly illuminated stage
PHOTOGRAPH: QUALCOMM
Much was said at the CES technology show back in January about the teaming up of car companies and tech firms. Beyond one merely providing the infotainment systems, apps, and touchscreens for the other, foundations are seemingly being laid for deep-routed collaborations. Cars are, after all, inevitably turning into highly connected platforms as reliant on efficient and upgradeable software architecture as smartphones and laptops.
For technology companies this means the opportunity to build an entire automotive software stack, from the parking sensors and driver-assistance radar to the dashboard display and smartphone app. For carmakers, finding the right technology partner could mean simplifying a vehicle’s architecture and unlocking new revenue streams in the form of passenger entertainment and downloadable upgrades. Finding the wrong one could be equally impactful—just ask automakers who have had dealings with Apple.
Unearthing new customer experiences—and, of course, charging for them—is key to LG Electronics’ new technical collaboration with Magna, a major global automotive parts supplier that also assembles cars for companies like Mercedes-Benz, BMW, Jaguar, and Fisker.

LG says with Magna it will develop a proof of concept for an “automated driver infotainment solution” providing “differentiated customer experiences,” which means there will be several levels of optional tech in this infotainment package so it can potentially be sold to multiple auto manufacturers. Audi explored a similar concept back in 2019 with the Immersive In-Car Entertainment project that used sound, light, vibrating seats, and even the car’s active suspension to give passengers a “4D” movie theater experience.
Sony Honda Mobility (SHM) is another example of an auto-tech alliance gearing up to build the car of the future. The alliance used CES 2023 to show off the first vehicle under a new brand called Afeela. Sat among televisions and virtual-reality headsets on Sony’s stand, the concept car obligingly featured Fortnite and Spider-Mangameplay imagery on a digital display above its front bumper.
Although falling short of saying Afeela cars would include a PlayStation 5 to pacify road-trip boredom, SHM said it has started to “build new values and concepts for mobility” with Epic Games. Horizon Forbidden West, a PS5 game published by Sony, appeared on rear seat displays of the Afeela show car. Tesla, incidentally, recently added access to the Steam video game library to its newest cars.

One System to Rule Them All?​

PHOTOGRAPH: QUALCOMM
Afeela cars will use Qualcomm’s new Snapdragon Digital Chassis system for driver assistance, autonomous driving, interfaces, and telematics. Also revealed at CES, the Digital Chassis is an automotive technology platform that combines safety and connectivity systems, entertainment, customization, and upgradability all into one product.
Unsurprisingly, it's a key growth pillar for Qualcomm as the company's revenue declines, as demand weakens for handsets and IoT products. Indeed, its automotive segment grew 58 percent in Q4 last year to $456 million—driven, according to Counterpoint, by the Digital Chassis.
Within Digital Chassis are four key Qualcomm automotive systems: These are called Snapdragon Auto Connectivity (connected systems like 5G and vehicle-to-vehicle technologies), Snapdragon Cockpit Platform (digital instrument clusters and infotainment), Snapdragon Car-to-Cloud (catering for over-the-air software updates), and Snapdragon Ride Platform (driver-assistance tech and autonomous driving capabilities).
“There is a tremendous amount of opportunity to reinvent the car,” says Nakul Duggal, Qualcomm’s senior vice president and general manager for automotive, “and a tremendous amount of that reinvention is happening because the car is becoming a truly digital product.”
Duggal says today’s automakers need to envisage “a tremendous number of use cases” that may present themselves over the lifetime of a vehicle, and that these “require you to really think about the platform very differently.”
PHOTOGRAPH: QUALCOMM
By adopting Qualcomm’s Digital Chassis, Duggal claims car manufacturers will benefit from faster development of connected systems. “If you think about the way the car architecture is being designed going forward, you have centralization of compute capabilities, larger processors in the car, built-in connectivity, safety features built-in,” he says. “All of these require the car architecture to shift, and you need somebody who actually understands what it means to be able to build a platform.”
Most established auto marques are slow to adopt new tech, realize its significance, or sort hype from truly useful offerings when it comes to car systems. However, the uniformity and simplicity of electric drivetrains compared to internal combustion has helped level a playing field previously dominated by carmakers with more than a century of engine-building experience. Newcomers such as Chinese firm Nio hope that connected technologies and dashboard-mounted AI assistants will tempt new buyers away from more established brands, while BYD Auto, founded in 2003, made six of the top 10 EVmodels sold worldwide in Q4 last year.
Duggal says technology, software, and electrical architecture are among “the key differentiators” automakers will have to consider in a future where how a car drives no longer sets it apart from its rivals. “We have been working with everyautomaker for the past dozen years or so. We are clearly seeing trends that are common across what everybody needs. We include that in our platform, we provide a tremendous amount of software capability, integration capability—and that just allows automakers to move faster.”
To give you some indication of how popular Qualcomm's automotive system is appearing to be, customers for its Digital Chassis include Sony Honda Mobility, Mercedes-Benz, General Motors, Cadillac, and Stellantis, a group that includes Peugeot, Fiat, Citroen, Jeep, Dodge, Maserati, and Chrysler among others. Qualcomm also says it has received support for the new platform from BMW, Hyundai Motor Group, Nio, and Volvo.
At a time when automakers are still struggling with semiconductor shortages, these manufacturers clearly hope to benefit from the supposed inherent simplicity offered by the Digital Chassis.

Efficient Car “Brains”​

Duggal told WIRED how the platform drastically lowers the number of electronic control units (ECUs) used to form the “brain” of a car. “In the past, you would have a dozen different ECUs that were responsible for everything from displays to parking, to driver monitoring, to the audio and speakers,” says Duggal. “All of that is getting integrated into a common platform. We are now seeing next-generation EE architectures get reduced down to less than five main subsystems—cockpit for the in-car experience, telematics for in-car and cloud connectivity, driver assistance and automated driving systems, in-car networking, and zonal controllers being the main ones.”
The Digital Chassis also brings together a car’s various technology systems—including telematics, navigation, multimedia, EV charging, and autonomy—into an internet-connected platform.
Qualcomm has designed Digital Chassis to run on a set of system-on-chips (SoCs), and it can be customized based on the requirements of carmakers and their tier-one suppliers, with headroom for future upgrades delivered over-the-air. Ultimately, by bundling more systems onto fewer chips, the Digital Chassis supposedly intends to save car makers money.
PHOTOGRAPH: QUALCOMM
Perhaps crucially, Qualcomm also says its Digital Chassis allows automakers to “own the in-vehicle experience … [and] extend their brand and bring engaging consumer interactions into the vehicle.” This will be particularly welcomed by manufacturers after the announcement in June last year of Apple’s next-gen multiscreen version of CarPlay, which will likely not be anywhere near as collaborative as Qualcomm’s offering. Indeed, when CarPlay 2 was announced, WIRED reached out to a number of major automakers for comment on the Cupertino system, only to find that it seemed as if the companies had no idea the news, and the potential impact to their dominance over their own car UIs, was coming.
The Digital Chassis system is designed to work across all regions and in all types of vehicle, and Qualcomm says it hopes the chassis will “inspire new business models for automakers” that go beyond merely selling and maintaining a car.

If You Thought Paying for Heated Seats Was Bad …​

Aside from in-car gaming, these new business models will also include drivers being asked to pay to unlock features already installed in their vehicle. BMW caused controversy when it suggested heated seats already fitted to a car would require a subscription to function. Mercedes will soon ask drivers to pay $1,200 to unlock more performance, hidden behind a paywall written into their EV’s code. The latest model of Polestar 2 can be made more powerful by purchasing the Performance Pack, which arrives via a software update, no wrenches required.
As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others. Similarly, Pegatron, another Taiwanese firm tasked with assembling iPhones, is now also a manufacturing partner of Tesla.
Finding a technology partner could soon be of utmost importance for car brands yet to fully embrace advanced infotainment, driver assistance, and connectivity systems. Lei Zhou, a partner at Deloitte Tohmatsu Consulting, told WIRED it is “highly likely” that automakers who go it alone with their own technology are in danger of being left behind.
Zhou added: “If conventional OEMs develop connected technologies with their current capabilities, they may find themselves left behind by emerging EV makers with IT backgrounds or OEMs that have partnered with powerful tech partners … significant value can be generated by collaboration with a variety of players, including technology and business fields.”

And Just What Is Apple Up to?​

The opposite is also true, where technology companies keen to develop their first car require help from automakers with manufacturing experience.
Tyson Jominy, vice president of automotive consulting at JD Power, told WIRED: “Tesla, Rivian, Dyson, Lucid, and others have all done really well through the process of designing a car. But when you get down to the brass tacks of building a car it’s very difficult. When a lot of startups run into problems, it’s [because] mass-producing cars at scale is hard. So partnering up does make sense.”
Such partnering between auto and tech makes us wonder what Apple’s current position is. Its Project Titan division has ebbed and flowed for years now, reportedly growing, shrinking, and changing direction without ever revealing itself in public. CES this year showed how there are numerous ways for technology companies to break into automotive—so much so that it’s now easy to imagine Apple being unable to decide between running out an entire car, a major upgrade to CarPlay, an autonomous driving system, enhanced mapping, or a computational platform like the Qualcomm Digital Chassis.
If Apple is still interested in cars—and if Project Titan is even still active—we’re now starting to see precisely how its tech rivals are placing their bets. Going it alone would be tough, even for a company with Apple’s mighty resources.
“I just don’t think the nuts and bolts of building cars is something of interest to Apple,” says Jominy says. “So I could see something like a Sony-type play … Apple has one of the most envious positions in the auto industry [with CarPlay] ... there’s more dollars to chase and it probably will, but the auto industry as a whole is still relatively low-margin, certainly relative to software.”
Whoever cuts the right deal with the strongest ally will secure the best position to succeed in what has become a rapidly evolving car industry—one that is now more reliant than ever on intelligent, connected technology (and entertainment, if autonomous driving ever becomes reality). Those who go it alone, or pick their partners poorly, run the risk of being left behind.
 
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Qualcomm Is Poised to Dominate EVs Before Apple Gets a Chance​

Its digital chassis is an internet-connected platform for the whole car, and the tech giant has General Motors, Jeep, Mercedes, and many more on board.
Qualcomm Digital Chassis Electric Vehicle on a brightly illuminated stage
PHOTOGRAPH: QUALCOMM
Much was said at the CES technology show back in January about the teaming up of car companies and tech firms. Beyond one merely providing the infotainment systems, apps, and touchscreens for the other, foundations are seemingly being laid for deep-routed collaborations. Cars are, after all, inevitably turning into highly connected platforms as reliant on efficient and upgradeable software architecture as smartphones and laptops.
For technology companies this means the opportunity to build an entire automotive software stack, from the parking sensors and driver-assistance radar to the dashboard display and smartphone app. For carmakers, finding the right technology partner could mean simplifying a vehicle’s architecture and unlocking new revenue streams in the form of passenger entertainment and downloadable upgrades. Finding the wrong one could be equally impactful—just ask automakers who have had dealings with Apple.
Unearthing new customer experiences—and, of course, charging for them—is key to LG Electronics’ new technical collaboration with Magna, a major global automotive parts supplier that also assembles cars for companies like Mercedes-Benz, BMW, Jaguar, and Fisker.

LG says with Magna it will develop a proof of concept for an “automated driver infotainment solution” providing “differentiated customer experiences,” which means there will be several levels of optional tech in this infotainment package so it can potentially be sold to multiple auto manufacturers. Audi explored a similar concept back in 2019 with the Immersive In-Car Entertainment project that used sound, light, vibrating seats, and even the car’s active suspension to give passengers a “4D” movie theater experience.
Sony Honda Mobility (SHM) is another example of an auto-tech alliance gearing up to build the car of the future. The alliance used CES 2023 to show off the first vehicle under a new brand called Afeela. Sat among televisions and virtual-reality headsets on Sony’s stand, the concept car obligingly featured Fortnite and Spider-Mangameplay imagery on a digital display above its front bumper.
Although falling short of saying Afeela cars would include a PlayStation 5 to pacify road-trip boredom, SHM said it has started to “build new values and concepts for mobility” with Epic Games. Horizon Forbidden West, a PS5 game published by Sony, appeared on rear seat displays of the Afeela show car. Tesla, incidentally, recently added access to the Steam video game library to its newest cars.

One System to Rule Them All?​

PHOTOGRAPH: QUALCOMM
Afeela cars will use Qualcomm’s new Snapdragon Digital Chassis system for driver assistance, autonomous driving, interfaces, and telematics. Also revealed at CES, the Digital Chassis is an automotive technology platform that combines safety and connectivity systems, entertainment, customization, and upgradability all into one product.
Unsurprisingly, it's a key growth pillar for Qualcomm as the company's revenue declines, as demand weakens for handsets and IoT products. Indeed, its automotive segment grew 58 percent in Q4 last year to $456 million—driven, according to Counterpoint, by the Digital Chassis.
Within Digital Chassis are four key Qualcomm automotive systems: These are called Snapdragon Auto Connectivity (connected systems like 5G and vehicle-to-vehicle technologies), Snapdragon Cockpit Platform (digital instrument clusters and infotainment), Snapdragon Car-to-Cloud (catering for over-the-air software updates), and Snapdragon Ride Platform (driver-assistance tech and autonomous driving capabilities).
“There is a tremendous amount of opportunity to reinvent the car,” says Nakul Duggal, Qualcomm’s senior vice president and general manager for automotive, “and a tremendous amount of that reinvention is happening because the car is becoming a truly digital product.”
Duggal says today’s automakers need to envisage “a tremendous number of use cases” that may present themselves over the lifetime of a vehicle, and that these “require you to really think about the platform very differently.”
PHOTOGRAPH: QUALCOMM
By adopting Qualcomm’s Digital Chassis, Duggal claims car manufacturers will benefit from faster development of connected systems. “If you think about the way the car architecture is being designed going forward, you have centralization of compute capabilities, larger processors in the car, built-in connectivity, safety features built-in,” he says. “All of these require the car architecture to shift, and you need somebody who actually understands what it means to be able to build a platform.”
Most established auto marques are slow to adopt new tech, realize its significance, or sort hype from truly useful offerings when it comes to car systems. However, the uniformity and simplicity of electric drivetrains compared to internal combustion has helped level a playing field previously dominated by carmakers with more than a century of engine-building experience. Newcomers such as Chinese firm Nio hope that connected technologies and dashboard-mounted AI assistants will tempt new buyers away from more established brands, while BYD Auto, founded in 2003, made six of the top 10 EVmodels sold worldwide in Q4 last year.
Duggal says technology, software, and electrical architecture are among “the key differentiators” automakers will have to consider in a future where how a car drives no longer sets it apart from its rivals. “We have been working with everyautomaker for the past dozen years or so. We are clearly seeing trends that are common across what everybody needs. We include that in our platform, we provide a tremendous amount of software capability, integration capability—and that just allows automakers to move faster.”
To give you some indication of how popular Qualcomm's automotive system is appearing to be, customers for its Digital Chassis include Sony Honda Mobility, Mercedes-Benz, General Motors, Cadillac, and Stellantis, a group that includes Peugeot, Fiat, Citroen, Jeep, Dodge, Maserati, and Chrysler among others. Qualcomm also says it has received support for the new platform from BMW, Hyundai Motor Group, Nio, and Volvo.
At a time when automakers are still struggling with semiconductor shortages, these manufacturers clearly hope to benefit from the supposed inherent simplicity offered by the Digital Chassis.

Efficient Car “Brains”​

Duggal told WIRED how the platform drastically lowers the number of electronic control units (ECUs) used to form the “brain” of a car. “In the past, you would have a dozen different ECUs that were responsible for everything from displays to parking, to driver monitoring, to the audio and speakers,” says Duggal. “All of that is getting integrated into a common platform. We are now seeing next-generation EE architectures get reduced down to less than five main subsystems—cockpit for the in-car experience, telematics for in-car and cloud connectivity, driver assistance and automated driving systems, in-car networking, and zonal controllers being the main ones.”
The Digital Chassis also brings together a car’s various technology systems—including telematics, navigation, multimedia, EV charging, and autonomy—into an internet-connected platform.
Qualcomm has designed Digital Chassis to run on a set of system-on-chips (SoCs), and it can be customized based on the requirements of carmakers and their tier-one suppliers, with headroom for future upgrades delivered over-the-air. Ultimately, by bundling more systems onto fewer chips, the Digital Chassis supposedly intends to save car makers money.
PHOTOGRAPH: QUALCOMM
Perhaps crucially, Qualcomm also says its Digital Chassis allows automakers to “own the in-vehicle experience … [and] extend their brand and bring engaging consumer interactions into the vehicle.” This will be particularly welcomed by manufacturers after the announcement in June last year of Apple’s next-gen multiscreen version of CarPlay, which will likely not be anywhere near as collaborative as Qualcomm’s offering. Indeed, when CarPlay 2 was announced, WIRED reached out to a number of major automakers for comment on the Cupertino system, only to find that it seemed as if the companies had no idea the news, and the potential impact to their dominance over their own car UIs, was coming.
The Digital Chassis system is designed to work across all regions and in all types of vehicle, and Qualcomm says it hopes the chassis will “inspire new business models for automakers” that go beyond merely selling and maintaining a car.

If You Thought Paying for Heated Seats Was Bad …​

Aside from in-car gaming, these new business models will also include drivers being asked to pay to unlock features already installed in their vehicle. BMW caused controversy when it suggested heated seats already fitted to a car would require a subscription to function. Mercedes will soon ask drivers to pay $1,200 to unlock more performance, hidden behind a paywall written into their EV’s code. The latest model of Polestar 2 can be made more powerful by purchasing the Performance Pack, which arrives via a software update, no wrenches required.
As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others. Similarly, Pegatron, another Taiwanese firm tasked with assembling iPhones, is now also a manufacturing partner of Tesla.
Finding a technology partner could soon be of utmost importance for car brands yet to fully embrace advanced infotainment, driver assistance, and connectivity systems. Lei Zhou, a partner at Deloitte Tohmatsu Consulting, told WIRED it is “highly likely” that automakers who go it alone with their own technology are in danger of being left behind.
Zhou added: “If conventional OEMs develop connected technologies with their current capabilities, they may find themselves left behind by emerging EV makers with IT backgrounds or OEMs that have partnered with powerful tech partners … significant value can be generated by collaboration with a variety of players, including technology and business fields.”

And Just What Is Apple Up to?​

The opposite is also true, where technology companies keen to develop their first car require help from automakers with manufacturing experience.
Tyson Jominy, vice president of automotive consulting at JD Power, told WIRED: “Tesla, Rivian, Dyson, Lucid, and others have all done really well through the process of designing a car. But when you get down to the brass tacks of building a car it’s very difficult. When a lot of startups run into problems, it’s [because] mass-producing cars at scale is hard. So partnering up does make sense.”
Such partnering between auto and tech makes us wonder what Apple’s current position is. Its Project Titan division has ebbed and flowed for years now, reportedly growing, shrinking, and changing direction without ever revealing itself in public. CES this year showed how there are numerous ways for technology companies to break into automotive—so much so that it’s now easy to imagine Apple being unable to decide between running out an entire car, a major upgrade to CarPlay, an autonomous driving system, enhanced mapping, or a computational platform like the Qualcomm Digital Chassis.
If Apple is still interested in cars—and if Project Titan is even still active—we’re now starting to see precisely how its tech rivals are placing their bets. Going it alone would be tough, even for a company with Apple’s mighty resources.
“I just don’t think the nuts and bolts of building cars is something of interest to Apple,” says Jominy says. “So I could see something like a Sony-type play … Apple has one of the most envious positions in the auto industry [with CarPlay] ... there’s more dollars to chase and it probably will, but the auto industry as a whole is still relatively low-margin, certainly relative to software.”
Whoever cuts the right deal with the strongest ally will secure the best position to succeed in what has become a rapidly evolving car industry—one that is now more reliant than ever on intelligent, connected technology (and entertainment, if autonomous driving ever becomes reality). Those who go it alone, or pick their partners poorly, run the risk of being left behind.
Interesting article and well worth a read. Thanks for sharing.

Yesterday Socionext’s absence from the website even though it is actively promoting automotive solutions for AKIDA technologies was discussed.

We do know for a fact that Socionext has a number of active engagements with Foxconn.

These two Facts AKIDA for Automotive via Socionext and Foxconn ties to Socionext make me wonder about the following extract from this article:

“As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others.”

If you are building an affordable EV one way to reduce the BOM is to reduce the number of semiconductors required.

Peter van der Made is on the record from the 2019 AGM as saying he could provide all the compute for fully autonomous driving with 100 AKD1000 chips.

Logic says if you are building a reasonably priced small EV you would not be looking to full autonomy so considerably less than 100 AKD1000 chips would be required.

Less than 100 chips against many hundreds to thousands would when the chips are $US25.00 each and less as IP create considerable savings.

So I ask the question if Socionext based on AKIDA technology was engaged in such a project with Foxconn would it be something they would be hiding from public view to protect first to market advantage or shouting from the rooftops.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA
 
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Tothemoon24

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Interesting article and well worth a read. Thanks for sharing.

Yesterday Socionext’s absence from the website even though it is actively promoting automotive solutions for AKIDA technologies was discussed.

We do know for a fact that Socionext has a number of active engagements with Foxconn.

These two Facts AKIDA for Automotive via Socionext and Foxconn ties to Socionext make me wonder about the following extract from this article:

“As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others.”

If you are building an affordable EV one way to reduce the BOM is to reduce the number of semiconductors required.

Peter van der Made is on the record from the 2019 AGM as saying he could provide all the compute for fully autonomous driving with 100 AKD1000 chips.

Logic says if you are building a reasonably priced small EV you would not be looking to full autonomy so considerably less than 100 AKD1000 chips would be required.

Less than 100 chips against many hundreds to thousands would when the chips are $US25.00 each and less as IP create considerable savings.

So I ask the question if Socionext based on AKIDA technology was engaged in such a project with Foxconn would it be something they would be hiding from public view to protect first to market advantage or shouting from the rooftops.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA
Like your thinking FF
 
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Reactions: 3 users
Interesting article and well worth a read. Thanks for sharing.

Yesterday Socionext’s absence from the website even though it is actively promoting automotive solutions for AKIDA technologies was discussed.

We do know for a fact that Socionext has a number of active engagements with Foxconn.

These two Facts AKIDA for Automotive via Socionext and Foxconn ties to Socionext make me wonder about the following extract from this article:

“As well as software and connectivity, technology companies can help automakers—especially startups—when it comes to mass production. Such a collaboration can be found with Fisker and Foxconn. The former is a Californian EV startup headed by former Aston Martin designer Henrik Fisker, and the latter is a Taiwanese company best known for assembling iPhones. The two plan to codevelop a circa-$30,000 EV due to go into production at a facility in Ohio in 2024.
Fisker said in 2021 that Foxconn will help with product development, sourcing, and manufacturing, and that the partnership will enable his company to deliver products “at a price point that truly opens up electric mobility to the mass market.”
Not wishing to put all of its automotive eggs in one basket, Foxconn is also involved in a joint venture with Chinese automotive giant Geely, parent of Volvo, Polestar, and Lotus among others.”

If you are building an affordable EV one way to reduce the BOM is to reduce the number of semiconductors required.

Peter van der Made is on the record from the 2019 AGM as saying he could provide all the compute for fully autonomous driving with 100 AKD1000 chips.

Logic says if you are building a reasonably priced small EV you would not be looking to full autonomy so considerably less than 100 AKD1000 chips would be required.

Less than 100 chips against many hundreds to thousands would when the chips are $US25.00 each and less as IP create considerable savings.

So I ask the question if Socionext based on AKIDA technology was engaged in such a project with Foxconn would it be something they would be hiding from public view to protect first to market advantage or shouting from the rooftops.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA

Fisker and Foxconn sign deal to build electric vehicles

Rebecca Bellan
@rebeccabellan / 6:58 pm PDT • May 13, 2021
Fisker_Project_PEAR.jpeg


Image Credits: Fisker

Electric car startup Fisker signed an agreement with Foxconn, the Taiwanese company that assembles iPhones, to co-develop and manufacture a new electric vehicle. Production on the car, which will be sold under the Fisker brand name in North America, Europe, China and India, will begin in the U.S. by the end of 2023.


Numerous details, including the name of the car and the location of future manufacturing plants, have not been disclosed by the two companies. As for form factor, Fisker describes it as a “breakthrough new segment vehicle,” so neither a sedan nor an SUV, that’s capable of carrying five people, a Fisker spokesperson told TechCrunch.

Fisker is calling the joint program Project PEAR, which stands for Personal Electric Automotive Revolution. Fisker chairman and CEO Henrik Fisker has bragged that the PEAR vehicle will be the “next big thing in car design,” a car that’s both “emotionally desirable” and “eco-friendly,” meaning a car that doesn’t shout “Look at me, I’m electric!” and rather appeals to the driver moving over from gasoline vehicles, according to a spokesperson from Fisker

The two companies had signed a memorandum of understanding agreement in February, setting the expectation that a formal agreement would be reached by this time. Included in the agreement signed on Thursday is a goal to produce 250,000 units annually across multiple sites. In January, Foxconn partnered with Chinese automaker Zhejiang Geely Holding Group to form a joint venture that would provide car manufacturers with production and consulting services, so the deal with Fisker is one of the company’s first forays into the automotive industry.

“In order to deliver on our promise of product breakthroughs from Project PEAR, we needed to rethink every aspect of product development, sourcing and manufacturing,” said Fisker chairman and CEO Henrik Fisker in a statement. “Our partnership with Foxconn enables us to deliver those industry firsts at a price point that truly opens up electric mobility to the mass market.”

The new vehicle will be priced under $30,000, according to Fisker, who touted the uniqueness and innovation of his car’s designs. Fisker will also begin production on its first model, Ocean, an electric SUV, in Europe by the end of next year. The company also intends to release a prototype of Ocean at the Los Angeles Auto Show later this year.
“We have world-class supply chains in place to support Project PEAR – in particular, securing the reliable delivery of chipsets and semiconductors,” said Young-way Liu, chairman of Foxconn, in a statement.
Liu noted how Foxconn would be able to connect Project PEAR with suppliers around the world through its software and hardware open platform for EVs, MIH, which aligns with the company’s “3+3” vision which symbolizes the infinite technological and industry advancements available through the platform.
Foxconn and Fisker are still shopping for potential U.S. manufacturing sites, so they’ve set up an office between the U.S. and Taiwan to coordinate design, engineering, purchasing and manufacturing operations.
This article has been updated to reflect new information from Fisker
 
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stockduck

Regular
Hi stockduck,

Some LED diodes are made using gallium nitride, and would not be compatible with the Akida.

n Australian company, BluGlass, has invented a revolutionary GaN LED/laser diode manufacturing process, RPCVD, which operates at a few hundred degrees lower than standard CVD/MCVD. They have licenced out their LED manufacturing, but kept the laser manufacturing in-house.

This is a slide of manufacturers from the BluGlass webibar:


Investor Webcast | Bluglass

View attachment 32565
Thank you very much for this insight... I see there is maybe a connection to BRN possible.

In germany these days there are some articles for a new television from LG....... LG OLED65G39LA

and I couldn`t found much to read about this new α9 Gen6 4K AI-Prozessor.
But I think 75W powerconsumtion for the whole TV is to much.....?
 
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And there we go again Brainchip identifying Renesas as a “KEY PARTNER.”

Prophesee is also described as a “KEY PARTNER” which I find confusing given Luca Verre’s comment about hoping to one day come to a commercial agreement.

All very strange and to this old retired lawyer who admittedly does get confused by the ways of the young lawyer, but even so how can someone or something be ‘KEY’ to the development of a commercially released product and there not be the scratch of a pen anywhere even one of those chook scratches on an iPad screen that looks nothing at all like the persons signature and could never be used as proof of anything. (Old technophobe rant)


“I’d like to personally thank the BrainChip teams as well as our key partners who are working with us on this journey, Renesas Electronics, Intel Corporation foundry services, PROPHESEE, Edge Impulse, SiFive, Ai Labs who are all a part of this announcement and BrainChip’s growth path.”

How can they be part of Brainchip’s growth path without at least an understanding of what that growth path is and in the normal course of business such an understanding used to be reduced to writing and called a ‘Memorandum of Understanding’ and the authorised officer from each party would dip their quills in ink and sign next to the pencil marked “X” placed their by the lawyers who have drawn the document.

I personally cannot believe that if this social media post is the truth that there are not one or more Memorandum of Understanding covering these KEY PARTNERSHIPS.

The ways of the modern world are certainly a mystery to which those attending the AGM may be able to find the key.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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chapman89

Founding Member

Fisker and Foxconn sign deal to build electric vehicles

Rebecca Bellan
@rebeccabellan / 6:58 pm PDT • May 13, 2021
Fisker_Project_PEAR.jpeg


Image Credits: Fisker

Electric car startup Fisker signed an agreement with Foxconn, the Taiwanese company that assembles iPhones, to co-develop and manufacture a new electric vehicle. Production on the car, which will be sold under the Fisker brand name in North America, Europe, China and India, will begin in the U.S. by the end of 2023.


Numerous details, including the name of the car and the location of future manufacturing plants, have not been disclosed by the two companies. As for form factor, Fisker describes it as a “breakthrough new segment vehicle,” so neither a sedan nor an SUV, that’s capable of carrying five people, a Fisker spokesperson told TechCrunch.

Fisker is calling the joint program Project PEAR, which stands for Personal Electric Automotive Revolution. Fisker chairman and CEO Henrik Fisker has bragged that the PEAR vehicle will be the “next big thing in car design,” a car that’s both “emotionally desirable” and “eco-friendly,” meaning a car that doesn’t shout “Look at me, I’m electric!” and rather appeals to the driver moving over from gasoline vehicles, according to a spokesperson from Fisker

The two companies had signed a memorandum of understanding agreement in February, setting the expectation that a formal agreement would be reached by this time. Included in the agreement signed on Thursday is a goal to produce 250,000 units annually across multiple sites. In January, Foxconn partnered with Chinese automaker Zhejiang Geely Holding Group to form a joint venture that would provide car manufacturers with production and consulting services, so the deal with Fisker is one of the company’s first forays into the automotive industry.


“In order to deliver on our promise of product breakthroughs from Project PEAR, we needed to rethink every aspect of product development, sourcing and manufacturing,” said Fisker chairman and CEO Henrik Fisker in a statement. “Our partnership with Foxconn enables us to deliver those industry firsts at a price point that truly opens up electric mobility to the mass market.”

The new vehicle will be priced under $30,000, according to Fisker, who touted the uniqueness and innovation of his car’s designs. Fisker will also begin production on its first model, Ocean, an electric SUV, in Europe by the end of next year. The company also intends to release a prototype of Ocean at the Los Angeles Auto Show later this year.
“We have world-class supply chains in place to support Project PEAR – in particular, securing the reliable delivery of chipsets and semiconductors,” said Young-way Liu, chairman of Foxconn, in a statement.

Liu noted how Foxconn would be able to connect Project PEAR with suppliers around the world through its software and hardware open platform for EVs, MIH, which aligns with the company’s “3+3” vision which symbolizes the infinite technological and industry advancements available through the platform.
Foxconn and Fisker are still shopping for potential U.S. manufacturing sites, so they’ve set up an office between the U.S. and Taiwan to coordinate design, engineering, purchasing and manufacturing operations.
This article has been updated to reflect new information from Fisker
If you remember from the white paper published by Brainchip, it says and states that “automotive companies ARE ADOPTING akida for multiple use cases within the car”

It didn’t say potentially or it didn’t say we believe it can be adopted, it said automotive companies ARE ADOPTING AKIDA 😎
 
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And there we go again Brainchip identifying Renesas as a “KEY PARTNER.”

Prophesee is also described as a “KEY PARTNER” which I find confusing given Luca Verre’s comment about hoping to one day come to a commercial agreement.

All very strange and to this old retired lawyer who admittedly does get confused by the ways of the young lawyer, but even so how can someone or something be ‘KEY’ to the development of a commercially released product and there not be the scratch of a pen anywhere even one of those chook scratches on an iPad screen that looks nothing at all like the persons signature and could never be used as proof of anything. (Old technophobe rant)


“I’d like to personally thank the BrainChip teams as well as our key partners who are working with us on this journey, Renesas Electronics, Intel Corporation foundry services, PROPHESEE, Edge Impulse, SiFive, Ai Labs who are all a part of this announcement and BrainChip’s growth path.”

How can they be part of Brainchip’s growth path without at least an understanding of what that growth path is and in the normal course of business such an understanding used to be reduced to writing and called a ‘Memorandum of Understanding’ and the authorised officer from each party would dip their quills in ink and sign next to the pencil marked “X” placed their by the lawyers who have drawn the document.

I personally cannot believe that if this social media post is the truth that there are not one or more Memorandum of Understanding covering these KEY PARTNERSHIPS.

The ways of the modern world are certainly a mystery to which those attending the AGM may be able to find the key.

My opinion only DYOR
FF

AKIDA BALLISTA
And on a separate but significant enough to have its very own post point WHY does MegaChips not rate in this post as a KEY PARTNER when as they have said they were responsible for designing the backend of AKD1500. The only implication to be drawn is they had no part to play in the development of AKIDA 2nd gen.

Then again was it a simple omission or is it that AKIDA 2nd gen was a separate project that only involved the named KEY PARTNERS.

If so it was far more formal than a get together over a coffee where the subject of how to build AKIDA 2nd gen came up and a few ideas were chucked around by Brainchip with SIX KEY PARTNERS.

By the way did you know that social media in all its forms is riddled with FAKE news and huge numbers of researchers are working on ways to use Ai to identify visual and written FAKES without definitive success. The point being perhaps this post by a Brainchip employee is FAKE so DYOR at the AGM. 😎

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Boab

I wish I could paint like Vincent
And there we go again Brainchip identifying Renesas as a “KEY PARTNER.”

Prophesee is also described as a “KEY PARTNER” which I find confusing given Luca Verre’s comment about hoping to one day come to a commercial agreement.

All very strange and to this old retired lawyer who admittedly does get confused by the ways of the young lawyer, but even so how can someone or something be ‘KEY’ to the development of a commercially released product and there not be the scratch of a pen anywhere even one of those chook scratches on an iPad screen that looks nothing at all like the persons signature and could never be used as proof of anything. (Old technophobe rant)


“I’d like to personally thank the BrainChip teams as well as our key partners who are working with us on this journey, Renesas Electronics, Intel Corporation foundry services, PROPHESEE, Edge Impulse, SiFive, Ai Labs who are all a part of this announcement and BrainChip’s growth path.”

How can they be part of Brainchip’s growth path without at least an understanding of what that growth path is and in the normal course of business such an understanding used to be reduced to writing and called a ‘Memorandum of Understanding’ and the authorised officer from each party would dip their quills in ink and sign next to the pencil marked “X” placed their by the lawyers who have drawn the document.

I personally cannot believe that if this social media post is the truth that there are not one or more Memorandum of Understanding covering these KEY PARTNERSHIPS.

The ways of the modern world are certainly a mystery to which those attending the AGM may be able to find the key.

My opinion only DYOR
FF

AKIDA BALLISTA
Perhaps the suggestion from BrainChip to it's Key Partners that the Akida 2nd generation could achieve the things listed below would have been met with a "Yes please" but I feel there may have been a bit of prodding from the partners by saying "can you do this?"
Time will tell.

Architecture and Notable Features
Skip connections:

The Akida neural processor has the ability to handle multiple layers simultaneously which is an important feature. It now adds support for short or long-range skip connections in the neural mesh or in the local scratchpad. Skip connections reduce degradation (ResNet) or future usability (DenseNet) of the network and are usually handled by the host CPU, and are now handled directly by the Akida neural processor substantially reducing latency and complexity. So networks like ResNet50 are now completely handled in the neural processor without CPU intervention.



Vision transformers provide a performance boost:

The Vision Transformer, or ViT, is a model for image classification that employs a Transformer-like architecture over patches of the image. An image is split into fixed-size patches, each of them are then linearly embedded, position embeddings are added, and the resulting sequence of vectors is fed to a standard Transformer encoder. In order to perform classification, the standard approach of adding an extra learnable “classification token” to the sequence is used. Akida now supports patch and position embeddings and the encoder block in hardware.

Learn More
Spatial Temporal convolutions:

Akida’s 2nd generation supports extremely efficient 3D convolutions.

This capability simplifies and accelerates the handling of 3D data such as video data, so applications like video object detection and target tracking.



Temporal Event-Based Neural Nets:

Temporal Event-based Neural Networks (TENNs) are lightweight, energy-efficient neural networks developed by Brainchip that excel at processing temporal data. TENNs offer state-of-the-art performance using significantly fewer parameters and address the low-power requirements of Edge based devices that need to support larger workloads.

TENNs process many types of temporal data including one-dimensional time series from microphones, vitals from health monitors, spatio-temporal events from dynamic vision sensors, live video from traditional cameras, and many others, allowing developers flexibility in performing compute-heavy tasks on devices with limited memory, battery, and compute resources.

Learn More
 
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Evermont

Stealth Mode
I find the timing here most interesting. Are we ready? 🔥

Top 20 owns 45%
Top 1000 owns 72%


1679181409080.png


1679181602148.png


1679181637826.png


1679181690141.png
 
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A very interesting new idea for Brainchip & PROPHESEE to explore:

arXiv:2206.06047v2 [cs.IT] 8 Jan 2023
Neuromorphic Wireless Cognition:
Event-Driven Semantic Communications for
Remote Inference
Jiechen Chen, Student Member, IEEE, Nicolas Skatchkovsky, Member, IEEE,
Osvaldo Simeone, Fellow, IEEE Abstract
Neuromorphic computing is an emerging computing paradigm that moves away from batched processing towards the online, event-driven, processing of streaming data. Neuromorphic chips, when coupled with spike-based sensors, can inherently adapt to the “semantics” of the data distribution by consuming energy only when relevant events are recorded in the timing of spikes and by proving a low-latency response to changing conditions in the environment. This paper proposes an end-to- end design for a neuromorphic wireless Internet-of-Things system that integrates spike-based sensing,
processing, and communication. In the proposed NeuroComm system, each sensing device is equipped with a neuromorphic sensor, a spiking neural network (SNN), and an impulse radio (IR) transmitter with multiple antennas. Transmission takes place over a shared fading channel to a receiver equipped with a multi-antenna impulse radio receiver and with an SNN. In order to enable adaptation of the receiver to the fading channel conditions, we introduce a hypernetwork to control the weights of the decoding SNN using pilots. Pilots, encoding SNNs, decoding SNN, and hypernetwork are jointly trained across multiple channel realizations. The proposed system is shown to significantly improve over conventional frame-based digital solutions, as well as over alternative non-adaptive training methods, in terms of time-to-accuracy and energy consumption metrics.
Index Terms
Neuromorphic computing, spiking neural networks, semantic communications.
The work of Osvaldo Simeone and Nicolas Skatchkovsky was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant agreement No. 725731, by an Open Fellowship of the EPSRC with reference EP/W024101/1, and by the European Union through project CENTRIC (101096379), and the work by Jiechen Chen was funded by the China Scholarship Council and King’s College London for their Joint Full-Scholarship (K-CSC) under Grant CSC202108440223.
The authors are with the King’s Communications, Learning and Information Processing (KCLIP) lab, King’s College London, London, WC2R 2LS, UK. (email:{jiechen.chen, nicolas.skatchkovsky, osvaldo.simeone}@kcl.ac

VII. CONCLUSION
This paper has introduced NeuroComm, a novel neuromorphic end-to-end solution for remote wireless inference in applications involving always-on online monitoring. The proposed system integrates neuromorphic sensing and neuromorphic computing with impulse radio transmission, enabling the adaptation of energy consumption to the dynamics of the monitored environment while ensuring low-latency inference. At a system level, the innovations of this paper also include the use of a hypernetwork at the receiver side to optimize adaptation of the receiver to the current channel conditions. Extensive experimental results have demonstrated the benefits of neuromorphic sensing and computing for the implementation of wireless cognition in terms of time-to-accuracy and energy consumption. It is the hope of the authors that this work will pave the way for further study of the synergy between neuromorphic sensing and processing technologies with wireless communications. A particularly interesting avenue for research would be the development of a testbed incorporating software-defined radio that implement IR, as well

as neuromorphic hardware, possibly accessed using cloud services such as Intel’s Lava [43]. This would make it possible to assess the relative contributions of processing and transmit- receive chains on the overall energy consumption. Furthermore, one could consider other types of inference tasks such as tracking [16]. Finally, the IR interface could be leveraged for conventional data transmission as well as a probing signal for sensing applications.”


Disrupting industries that do not yet exist.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Dhm

Regular


I suspect we could do this. We can identify wines, beers and a whole lot more, so.....
 

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TECH

Regular
And there we go again Brainchip identifying Renesas as a “KEY PARTNER.”

Prophesee is also described as a “KEY PARTNER” which I find confusing given Luca Verre’s comment about hoping to one day come to a commercial agreement.

All very strange and to this old retired lawyer who admittedly does get confused by the ways of the young lawyer, but even so how can someone or something be ‘KEY’ to the development of a commercially released product and there not be the scratch of a pen anywhere even one of those chook scratches on an iPad screen that looks nothing at all like the persons signature and could never be used as proof of anything. (Old technophobe rant)


“I’d like to personally thank the BrainChip teams as well as our key partners who are working with us on this journey, Renesas Electronics, Intel Corporation foundry services, PROPHESEE, Edge Impulse, SiFive, Ai Labs who are all a part of this announcement and BrainChip’s growth path.”

How can they be part of Brainchip’s growth path without at least an understanding of what that growth path is and in the normal course of business such an understanding used to be reduced to writing and called a ‘Memorandum of Understanding’ and the authorised officer from each party would dip their quills in ink and sign next to the pencil marked “X” placed their by the lawyers who have drawn the document.

I personally cannot believe that if this social media post is the truth that there are not one or more Memorandum of Understanding covering these KEY PARTNERSHIPS.

The ways of the modern world are certainly a mystery to which those attending the AGM may be able to find the key.

My opinion only DYOR
FF

AKIDA BALLISTA

Good morning FF....maybe another removal of a sentence for hinting at something which doesn't align with all known rhetoric ?
If a staff member is allowed to activity promote and acknowledge key partners, it has to reflect a statement of fact.

My view is that only one partner truly holds the "key" as I believe PROPHESEE openly discovered when they came face-to-face with
science fiction, sure every partnership is very valuable with each bringing another piece to the table, but only one holds the key to the
kingdom where all the glorious light and fruit is displayed for one and all to enjoy, and that's our majestic jewel, AKIDA ! 😊

Happy Sunday All. Tech 🙃😉
 
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Steve10

Regular
Some interesting replies from ChatGPT about BRN partners.

Toshiba, Cisco, STMicroelectronics, NXP Semiconductor, Nordic Semiconductor, Texas Instruments, Nvidia, Qualcomm, Renesas, Socionext, Intel, ARM, Valeo, Synaptics & Epson are all partners.

Some mention product lines such as Qualcomm's Snapdragon, Nordic Semiconductor's nRF52 & nRF53, Intel's Movidius, Cisco's networking, NXP's i.MX family, Socionext's Milbeaut, ARM Cortex A/R/M range & Nvidia Jetson.

Samsung, Sony, Tesla, Broadcom & Apple are not partners.

Toshiba
Toshiba and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) technologies for edge computing and other applications. Toshiba is a Japanese multinational conglomerate that offers a wide range of products and services, including consumer electronics, industrial machinery, and energy systems. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Toshiba and BrainChip have developed a range of AI-based solutions for edge computing, including the Akida™ Neuromorphic System-on-Chip (NSoC) and the Akida Development Environment. The Akida NSoC is a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida Development Environment is a software platform that allows developers to create and test AI models for the Akida NSoC.

In addition to their joint development efforts, Toshiba and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between Toshiba and BrainChip is aimed at providing customers with innovative and efficient AI technologies for edge computing and other applications, and leveraging the strengths of both companies to create value for customers and stakeholders.


Cisco
Cisco and BrainChip Holdings Ltd are partners in developing and promoting AI and machine learning technologies for various industries. Cisco is a multinational technology conglomerate that provides a wide range of products and services, including networking equipment, security solutions, and collaboration tools. BrainChip Holdings Ltd is an Australian-based company that specializes in developing advanced AI and machine learning technologies.

Under the partnership, Cisco and BrainChip have collaborated to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Cisco's networking equipment. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Cisco's networking equipment, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Cisco and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, healthcare, and retail. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Cisco and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape.


STMicroelectronics
STMicroelectronics and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) technologies for edge computing and other applications. STMicroelectronics is a multinational semiconductor company that offers a broad range of products and solutions, including microcontrollers, sensors, power management systems, and connectivity solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, STMicroelectronics and BrainChip have developed the Akida™ Neuromorphic System-on-Chip (NSoC), a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida NSoC is designed to enable efficient and intelligent processing of data at the edge, without the need for a centralized server or cloud computing.

In addition to their joint development efforts, STMicroelectronics and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between STMicroelectronics and BrainChip is aimed at providing customers with innovative and efficient AI technologies for edge computing and other applications. By leveraging their respective strengths and expertise, the companies are working to create value for customers and stakeholders, and help them stay competitive in the rapidly evolving digital landscape.


Texas Instruments
Texas Instruments (TI) and BrainChip Holdings Ltd are partners in developing and marketing advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Texas Instruments is a multinational semiconductor company that offers a wide range of products and solutions, including microcontrollers, processors, and analog and digital signal processing solutions. BrainChip Holdings Ltd is an Australian-based company that specializes in developing advanced AI and machine learning technologies.

Under the partnership, TI and BrainChip have developed the Akida™ Neuromorphic System-on-Chip (NSoC), a low-power, high-performance chip that can be used for a variety of edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. The Akida NSoC is designed to enable efficient and intelligent processing of data at the edge, without the need for a centralized server or cloud computing.

In addition to their joint development efforts, TI and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, automotive, and consumer electronics.

Overall, the partnership between TI and BrainChip is aimed at providing customers with innovative and efficient AI and machine learning technologies for edge computing and other applications. By leveraging their respective strengths and expertise, the companies are working to create value for customers and stakeholders, and help them stay competitive in the rapidly evolving digital landscape.


Nordic Semiconductor
Nordic Semiconductor and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) technologies for edge computing and other applications. Nordic Semiconductor is a multinational semiconductor company that specializes in developing wireless communication technologies, including Bluetooth Low Energy (BLE) and cellular IoT solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Nordic Semiconductor and BrainChip have integrated BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Nordic Semiconductor's nRF52 and nRF53 Series of wireless System-on-Chips (SoCs). The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Nordic Semiconductor's wireless SoCs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Nordic Semiconductor and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including industrial automation, healthcare, and retail. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Nordic Semiconductor and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape.


Qualcomm
Qualcomm and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Qualcomm is a multinational semiconductor and telecommunications equipment company that specializes in developing wireless communication technologies, including 5G and Internet of Things (IoT) solutions. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Qualcomm and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Qualcomm's Snapdragon mobile platforms. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Snapdragon mobile platforms, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Qualcomm and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, healthcare, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Qualcomm and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


NXP Semiconductor
NXP Semiconductors and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. NXP Semiconductors is a multinational semiconductor company that specializes in developing embedded systems, secure connectivity solutions, and other technologies for a wide range of industries. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, NXP Semiconductors and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into NXP's i.MX family of processors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into i.MX processors, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, NXP Semiconductors and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between NXP Semiconductors and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Socionext
Socionext and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Socionext is a multinational semiconductor company that specializes in developing system-on-chip (SoC) solutions, including graphics, imaging, and networking technologies. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Socionext and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Socionext's Milbeaut imaging and video processing SoCs. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Milbeaut SoCs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Socionext and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Socionext and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Intel
Intel and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Intel is a multinational technology company that specializes in developing and manufacturing computer processors, memory chips, and other hardware components for a wide range of industries. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Intel and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Intel's Movidius vision processing units (VPUs). The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Movidius VPUs, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Intel and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Intel and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


ARM
Arm Holdings and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Arm Holdings is a multinational technology company that specializes in developing and licensing microprocessor architecture and software. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Arm and BrainChip are working together to optimize BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) for Arm-based devices, including Arm's Cortex-A, Cortex-R, and Cortex-M processors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By optimizing the Akida NSoC for Arm-based devices, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Arm and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Arm and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Nvidia
NVIDIA and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. NVIDIA is a leading graphics processing unit (GPU) manufacturer and is also a key player in the AI space, offering a range of hardware and software products for AI applications. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, NVIDIA and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into NVIDIA's Jetson platform. The Jetson platform is an AI computing platform that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into the Jetson platform, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, NVIDIA and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between NVIDIA and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Renesas
Renesas Electronics Corporation and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing and other applications. Renesas is a Japanese semiconductor manufacturer that offers a range of microcontrollers, microprocessors, and other integrated circuits for various applications. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Renesas and BrainChip are working together to optimize BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) for Renesas microcontrollers and microprocessors. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By optimizing the Akida NSoC for Renesas devices, the companies aim to provide customers with faster and more efficient data processing capabilities.

In addition to their joint development efforts, Renesas and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries, including automotive, industrial automation, and consumer electronics. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve their operations, increase efficiency, and reduce costs.

Overall, the partnership between Renesas and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay competitive in the rapidly evolving digital landscape. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.

Part 2 follows as wouldn't let me post it all in one go.
 
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Steve10

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Samsung
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Samsung and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, so it is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Sony
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Sony and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, so it is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Valeo
Valeo and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for automotive applications. Valeo is a French automotive supplier that specializes in designing and manufacturing components and systems for vehicles. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Valeo and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Valeo's automotive systems. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Valeo's systems, the companies aim to provide customers with faster and more efficient data processing capabilities for automotive applications, such as advanced driver assistance systems (ADAS) and autonomous driving.

In addition to their joint development efforts, Valeo and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in the automotive industry. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve vehicle safety, reduce accidents, and enhance the overall driving experience.

Overall, the partnership between Valeo and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform the automotive industry and improve road safety. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in the automotive industry, enabling customers to take advantage of the latest technological innovations and stay ahead of the curve.


Tesla
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Tesla and BrainChip. However, both companies are involved in developing advanced artificial intelligence (AI) and machine learning technologies, and Tesla has been a pioneer in the development of autonomous driving technology for electric vehicles. It is possible that they may have collaborated or may collaborate in the future. If any new information becomes available, I will update this answer accordingly.


Synaptics
Synaptics and BrainChip Holdings Ltd are partners in developing and promoting advanced artificial intelligence (AI) and machine learning technologies for edge computing applications. Synaptics is a leading developer of human interface solutions, including touchpads, fingerprint sensors, and other advanced sensing technologies. BrainChip Holdings Ltd is an Australian-based company that develops AI and machine learning technology.

Under the partnership, Synaptics and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Synaptics' edge computing platforms. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image and audio recognition, natural language processing, and predictive maintenance. By integrating the Akida NSoC into Synaptics' platforms, the companies aim to provide customers with faster and more efficient data processing capabilities for a wide range of applications, including industrial automation, security systems, and smart home devices.

In addition to their joint development efforts, Synaptics and BrainChip are also working together on marketing and sales activities to promote their AI solutions to customers in various industries. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve efficiency, reduce costs, and enhance the overall user experience.

Overall, the partnership between Synaptics and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay ahead of the competition. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and improve their operations.


Broadcom
As of my knowledge cutoff date of September 2021, there was no publicly available information on a partnership between Broadcom and BrainChip. However, Broadcom is a leading developer of semiconductor and connectivity technologies, and BrainChip is focused on developing advanced artificial intelligence (AI) and machine learning technologies. It is possible that they may have collaborated or may collaborate in the future, perhaps to integrate BrainChip's AI technologies into Broadcom's semiconductor solutions or to leverage Broadcom's connectivity technologies to enhance the performance and functionality of BrainChip's products. If any new information becomes available, I will update this answer accordingly.


Epson
Epson and BrainChip have partnered to develop and market AI and machine learning solutions for image recognition and edge computing applications. Epson is a leading manufacturer of printers, projectors, and other imaging equipment, while BrainChip specializes in developing advanced AI and machine learning technologies for edge computing.

Under the partnership, Epson and BrainChip are working together to integrate BrainChip's Akida™ Neuromorphic System-on-Chip (NSoC) into Epson's image recognition and edge computing solutions. The Akida NSoC is a low-power, high-performance chip that can be used for various edge computing applications, including image recognition, predictive maintenance, and natural language processing. By integrating the Akida NSoC into Epson's solutions, the companies aim to provide customers with faster and more efficient data processing capabilities for a wide range of applications, including industrial automation, surveillance systems, and retail analytics.

In addition to their joint development efforts, Epson and BrainChip are also collaborating on marketing and sales activities to promote their AI solutions to customers in various industries. The companies are leveraging their strengths and expertise to create innovative AI solutions that can help customers improve productivity, reduce costs, and enhance the overall user experience.

Overall, the partnership between Epson and BrainChip is aimed at providing customers with advanced AI and machine learning technologies that can help them transform their businesses and stay ahead of the competition. The collaboration is expected to accelerate the adoption of AI and machine learning technologies in various industries, enabling customers to take advantage of the latest technological innovations and improve their operations.
 
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I find the timing here most interesting. Are we ready? 🔥

Top 20 owns 45%
Top 1000 owns 72%


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It does take a Special Resolution so unless they get at least 75% of shareholders voting in favour it will not happen.

Given the state of things in the US financial markets would such a vote be called for at this stage???

There is growing concern that the USA may be driven into recession by the failures in their Banking sector and the current high interest rates.

No opinion just thoughts DYOR
FF

AKIDA BALLISTA
 
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Like your thinking FF
Here is another thought.

In an early video by Alex the Rocket Scientist he stated that he considers Autonomous Vehicles, Drones etc as nothing more than robots. The point being that the same technology that will allow robots to function autonomously will be what makes autonomous vehicles possible.

So if you accept this logic how significant was the reveal by ANT61 that they were using AKIDA technology as the brain to allow their robot to act autonomously in space for the purpose of maintaining and repairing space craft.

Think about this idea. If ANT61 can do this using AKIDA technology in space would not AKIDA be able to hit valet parking in parking stations for six without the need for parking stations to install costly supporting infrastructure.

Would not AKIDA be able to undertake low speed hands off the wheel driving in congested tunnels or remote locations with poor connection like my carport here in Sydney. 😂🤣😂

My opinion only DYOR
FF

AKIDA BALLISTA
 
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