BRN Discussion Ongoing

[Fact Finder]

Another two plus two:

“While many people have referred to the VISION EQXX as a concept car, those people do not work at Mercedes-Benz. The company insists on calling it a research vehicle, because it concentrates experimental projects from many areas of research into a single, practical EV for the express purpose of testing the results in real-world scenarios. During the VISION EQXX technological briefings on the day of our co-drive, Jasmin Eichler, Director of Future Technologies for Mercedes-Benz AG, said the best of those lessons will be used in all Mercedes series vehicles”

“The brains of the operation


Markkus Rovito/SlashGear
A "pillar to pillar" micro LED display, the largest display ever in a Mercedes, stretches from one end of the VISION EQXX dashboard to the other. According the company, it is even more energy-efficient than an OLED display, in part because when an area of the display is black, it turns off the pixels for that area, saving energy and creating great contrast. This screen is the heart and—if you cross the uncanny valley—soul of the car. That's because the digital assistant that responds to the "hey Mercedes" cue runs off "neuromorphic computing" from California AI company BrainChip. This utilizes a machine-learning neural network that only draws energy in "spikes" when called upon and over time can be 5-10x more efficient than conventional voice control, according to Mercedes-Benz.”

Read More: https://www.slashgear.com/832474/me...ve-record-setting-ev-range/?utm_campaign=clip

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Proga]

Valeo and BMW. Valeo using Snapdragon.

https://m.futurecar.com/5489/Valeo-...utomakers-Forthcoming-Neue-Klasse-EV-Platform


Thoughts anyone.

SC

So is Samsung for its Galaxy S23. We’ve been hearing for a while that Samsung will reportedly use the Snapdragon 8 Gen 2 chipset globally in the Galaxy S23 line, which was already good news for reasons we’ll get into below. But now it looks like the company might go one better, and equip these phones with an exclusive, even more powerful variant of the chipset.

@Diogenese can the Snapdragon 8 Gen 2 SOC use Akida IP ? If so the mind boggles.

MSN

Snapdragon 8 Gen 2 announced: All the killer features it's bringing to your next phone

The chip powering the next generation of flagship phones is here

www.techradar.com

 

[Iseki]

Soz if that last post was attacking @prnewy74 . But we have in Akida, something new and exciting. But that alone doesn't guarantee success. We have to fit in with ecosystems, the expectations of engineers, and the whim of consumers. We have done wonderfully to date, but share price is all about how people imagine, rightfully or wrongly, the SP will go - ie what they think they will think irrespective of what it can do. Which is a non-sense.

So you have to decide - will you join others and research into competitors and patents and links to chip makers, or will you crowd around a ouija board and gasp and holler?

Good chatting.

 

[Proga]

So is Samsung for its Galaxy S23. We’ve been hearing for a while that Samsung will reportedly use the Snapdragon 8 Gen 2 chipset globally in the Galaxy S23 line, which was already good news for reasons we’ll get into below. But now it looks like the company might go one better, and equip these phones with an exclusive, even more powerful variant of the chipset.

@Diogenese can the Snapdragon 8 Gen 2 SOC use Akida IP ? If so the mind boggles.

MSN

Snapdragon 8 Gen 2 announced: All the killer features it's bringing to your next phone

The chip powering the next generation of flagship phones is here

www.techradar.com

From the techradar article

Only Akida can do that????

Through what can only be arcane wizardry, Qualcomm is able to scale 32-bit processes down to 4-bit without compromising the quality of the data sets being processed, which the company's Ziad Asghar – VP of Product Management at Qualcomm – told TechRadar, amounts to a 64x power reduction.

 

[Fact Finder]

Hi FF and others,

Maybe it’s just me, but it appears to be at times you are very responsive to some posters comments and on occasion a couple not as quick. (Eg the LinkedIn advertisement for a new role at BRN that was linked to three companies in this ad). My understanding is on the other forum before many moved over to TSE and you were the unofficial group leader in contacting BRN management for clarification or comment on links to companies etc that may be linked to Akida. I don’t see this as a negative as it may streamline replies between BRN management and TSE forum.
My question is how close are you to BRN management team in receiving clarification or replies to comments from you or other TSE posters in a timely manner?
It appears some key posters on TSE come across like that they are in the BRN management corporate spa to obtain comments, there are others that want to be there or come across like that are even though I suggest they aren’t.
While I appreciate all the comments and links by posters to speculative connections etc provided by all on TSE I’m concerned at how close some are to BRN management when it comes to knowledge or how it is posted on TSE.
I only wish the best for all but at times I get concerned on how posters post comments on TSE.

I am as close to Brainchip as you or any other shareholder could be if they put in the effort to ask respectful questions and not be abusive when offering criticism.

What is a respectful question? It is one which would not require the person to give an answer they are not entitled to give.

So I never ask questions like is Siemens a customer of Brainchip because asking that question is insulting the honesty and integrity of the Brainchip employee.

I always communicate with the company by email so there is a written record of my communications and the replies I receive.

The knowledge I have is available to every shareholder provided they take the time to do the research.

I know I have an advantage over a lot of shareholders as I have a developed memory for narrative and the ability to read/scan large amounts of material quite quickly.

I cannot speak for the others that you have concerns about but I doubt from my interaction with the company if any other shareholder has knowledge which would amount to insider information.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Rise from the ashes]

Hi FF and others,

Maybe it’s just me, but it appears to be at times you are very responsive to some posters comments and on occasion a couple not as quick. (Eg the LinkedIn advertisement for a new role at BRN that was linked to three companies in this ad). My understanding is on the other forum before many moved over to TSE and you were the unofficial group leader in contacting BRN management for clarification or comment on links to companies etc that may be linked to Akida. I don’t see this as a negative as it may streamline replies between BRN management and TSE forum.
My question is how close are you to BRN management team in receiving clarification or replies to comments from you or other TSE posters in a timely manner?
It appears some key posters on TSE come across like that they are in the BRN management corporate spa to obtain comments, there are others that want to be there or come across like that are even though I suggest they aren’t.
While I appreciate all the comments and links by posters to speculative connections etc provided by all on TSE I’m concerned at how close some are to BRN management when it comes to knowledge or how it is posted on TSE.
I only wish the best for all but at times I get concerned on how posters post comments on TSE.

Mate if it's a reasonable question I find Tony very quick to reply. Even gave me his work mobile number to call on. I may have missed the meaning of your post if so I apologize for my misinterpretation.

 

[Boab]

I am as close to Brainchip as you or any other shareholder could be if they put in the effort to ask respectful questions and not be abusive when offering criticism.

What is a respectful question? It is one which would not require the person to give an answer they are not entitled to give.

So I never ask questions like is Siemens a customer of Brainchip because asking that question is insulting the honesty and integrity of the Brainchip employee.

I always communicate with the company by email so there is a written record of my communications and the replies I receive.

The knowledge I have is available to every shareholder provided they take the time to do the research.

I know I have an advantage over a lot of shareholders as I have a developed memory for narrative and the ability to read/scan large amounts of material quite quickly.

I cannot speak for the others that you have concerns about but I doubt from my interaction with the company if any other shareholder has knowledge which would amount to insider information.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF,
did you watch the show SUITS? One of the central characters has a photographic memory and although he never qualified to become a lawyer they employed him anyway. just wondered if you felt like you had similar abilities? I am envious and grateful of your recollections.
Keep up the great work.
Cheers

 

[robsmark]

The World may not have fully woken up but the future of computing is all about the ‘BEAST’.

A quick question. When Edge Impulse was exposing AKIDA to 55,000 or more engineers and developers I had a little trouble comprehending that sort of reach but when ARM revealed they had over 55 million engineers and developers it threw me for a six and still does is anyone else similarly afflicted?

I mean could you imagine harnessing the brain power of 55 million @Diogenese?

ARM is the bird in the hand but I think Brainchip is going to need a much, much bigger hand.

Remember according to Edge Impulse AKIDA is the stuff of SCIENCE FICTION and Edge Impulse is speaking constantly to ARM customers as it’s leading engineering firm.

My opinion only DYOR
FF

AKIDA BALLISTA

“ARM is the bird in the hand but I think Brainchip is going to need a much, much bigger hand.”

Perhaps we already have one… I’d love a peek behind those NDA’s.

 

[Fact Finder]

Hi FF,
did you watch the show SUITS? One of the central characters has a photographic memory and although he never qualified to become a lawyer they employed him anyway. just wondered if you felt like you had similar abilities? I am envious and grateful of your recollections.
Keep up the great work.
Cheers

I don’t consider I have a photographic memory. When I first joined the police you had to give your evidence entirely from memory so I had to practise from the age of 19 years and initially it was a struggle.

When I was prosecuting because of the volume of work the more you remembered from the wording of indictments to Acts and Sections for offences the more efficient you could operate.

I liked to watch the witness closely while they gave evidence which was difficult if not impossible while taking notes so I practiced remembering what they said without taking notes.

Then when I had to investigate and prosecute police to be effective in cross examination you needed to build a picture of all the connections from truck loads of documents that you could call on immediately as you cross examined to have any hope of breaking down very experienced police witnesses.

Then in private practice it just continued. The interesting thing is my son does have a photographic memory and when he worked for me and I asked if he had an interest in taking over the practice he said he could never remember what I did and could not see how he would manage.

We now invest together and he calls my research and memory for it his advantage.

Personally I believe it arises from 50 years of practice developing that part of the brain and needing to read masses of documents quickly.

Regards
FF

AKIDA BALLISTA

 

[Diogenese]

So is Samsung for its Galaxy S23. We’ve been hearing for a while that Samsung will reportedly use the Snapdragon 8 Gen 2 chipset globally in the Galaxy S23 line, which was already good news for reasons we’ll get into below. But now it looks like the company might go one better, and equip these phones with an exclusive, even more powerful variant of the chipset.

@Diogenese can the Snapdragon 8 Gen 2 SOC use Akida IP ? If so the mind boggles.

MSN

Snapdragon 8 Gen 2 announced: All the killer features it's bringing to your next phone

The chip powering the next generation of flagship phones is here

www.techradar.com

Hi Proga,

Sadly the ogre has retired, but the short answer is "No".

Qualcomm has put a lot of effort into analog SNNs and this article does not suggest they have switched away from their in-house technology:

More simultaneous AI tasks, while using less power​

AI (yes, artificial intelligence) has been the rising star in mobile computing over the last few years and that trend continues upwards with the 8 Gen 2.

Although every major element of the SoC already leverages AI to some degree, this generation's dedicated Hexagon Processor offers a revised toolset (including a Tensor accelerator that's doubled in size) set to deliver some significant gains.

Qualcomm promises a 4.35x speed increase when performing AI-based tasks, thanks – in part – to the fact that the 8 Gen 2 is the first of its kind to leverage something called INT4 (integer 4) precision; allowing for 60% more AI-based tasks to be performed concurrently per watt.

Through what can only be arcane wizardry, Qualcomm is able to scale 32-bit processes down to 4-bit without compromising the quality of the data sets being processed, which the company's Ziad Asghar – VP of Product Management at Qualcomm – told TechRadar, amounts to a 64x power reduction.

Upgraded always-on Sensing Hub​

Modern phones can already help us transpose the analogue world into digital; with features like semantic text recognition and object recognition, but the Sensing Hub inside the 8 Gen 2 has been purpose-built to help with such tasks; boasting two AI processing cores for up to double the AI performance compared to 8 Gen 1, along with 50% more memory than previously.

The Sensing Hub supports an 'always-sensing camera' (a rewording from last-generation's 'always-on camera'), that's great for everything from QR code scanning to face proximity detection, facial recognition and even eye-tracking – all without having to actively open your device's camera app.

Asghar confirmed to TechRadar that multiple OEM partners have been particularly interested in this aspect of the Sensing Hub, suggesting the next wave of phones powered by the 8 Gen 2 may well have the ability to scan and action QR codes and the like without even needing to be woken up or for particular apps to be opened to interact with them.

Despite its always-on nature, Qualcomm also states that the data processed by the Sensing Hub doesn't leave your device.

This patent dates from mid-2017.

US10460817B2 Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors

[0009] In this regard, FIG. 1A illustrates a matrix network circuit 100 as a cross-bar network that includes a way of interconnecting memristors and CMOS circuit neurons for STDP learning.

[0010] Neural networks that employ memristor networks for providing synapses can also be used for other applications that require weighted matrix multiplication computations, such as convolution for example.

Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors are disclosed. An MLC NVM matrix circuit includes a plurality of NVM storage string circuits that each include a plurality of MLC NVM storage circuits each containing a plurality of NVM bit cell circuits each configured to store 1-bit memory state. Thus, each MLC NVM storage circuit stores a multi-bit memory state according to memory states of its respective NVM bit cell circuits. Each NVM bit cell circuit includes a transistor whose gate node is coupled to a word line among a plurality of word lines configured to receive an input vector. Activation of the gate node of a given NVM bit cell circuit in an MLC NVM storage circuit controls whether its resistance is contributed to total resistance of an MLC NVM storage circuit coupled to a respective source line.

[006] … Real synapses, however, exhibit non-linear phenomena like spike timing dependent plasticity (STDP) that modulate the weight of an individual synapse based on the activity of the pre- and post-synaptic neurons. The modulation of synaptic weights through plasticity has been shown to greatly increase the range of computations that neural networks can perform.

[0074] Further, if the word lines WL0 -WLm are coupled to a pre-neuron layer and the output nodes 308 ( 0 )- 308 (m ) are coupled to a post-neuron layer, the NVM matrix circuit 300 is also configured to train the channel resistance of the NVM bit cell circuits R00 -Rmn by supporting backwards propagation of a weight update ...

 

[Proga]

Hi Proga,

Sadly the ogre has retired, but the short answer is "No".

Qualcomm has put a lot of effort into analog SNNs and this article does not suggest they have switched away from their in-house technology:

More simultaneous AI tasks, while using less power​

AI (yes, artificial intelligence) has been the rising star in mobile computing over the last few years and that trend continues upwards with the 8 Gen 2.

Although every major element of the SoC already leverages AI to some degree, this generation's dedicated Hexagon Processor offers a revised toolset (including a Tensor accelerator that's doubled in size) set to deliver some significant gains.

Qualcomm promises a 4.35x speed increase when performing AI-based tasks, thanks – in part – to the fact that the 8 Gen 2 is the first of its kind to leverage something called INT4 (integer 4) precision; allowing for 60% more AI-based tasks to be performed concurrently per watt.

Through what can only be arcane wizardry, Qualcomm is able to scale 32-bit processes down to 4-bit without compromising the quality of the data sets being processed, which the company's Ziad Asghar – VP of Product Management at Qualcomm – told TechRadar, amounts to a 64x power reduction.

Upgraded always-on Sensing Hub​

Modern phones can already help us transpose the analogue world into digital; with features like semantic text recognition and object recognition, but the Sensing Hub inside the 8 Gen 2 has been purpose-built to help with such tasks; boasting two AI processing cores for up to double the AI performance compared to 8 Gen 1, along with 50% more memory than previously.

The Sensing Hub supports an 'always-sensing camera' (a rewording from last-generation's 'always-on camera'), that's great for everything from QR code scanning to face proximity detection, facial recognition and even eye-tracking – all without having to actively open your device's camera app.

Asghar confirmed to TechRadar that multiple OEM partners have been particularly interested in this aspect of the Sensing Hub, suggesting the next wave of phones powered by the 8 Gen 2 may well have the ability to scan and action QR codes and the like without even needing to be woken up or for particular apps to be opened to interact with them.

Despite its always-on nature, Qualcomm also states that the data processed by the Sensing Hub doesn't leave your device.

This patent dates from mid-2017.

US10460817B2 Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors


View attachment 22355


[0009] In this regard, FIG. 1A illustrates a matrix network circuit 100 as a cross-bar network that includes a way of interconnecting memristors and CMOS circuit neurons for STDP learning.

[0010] Neural networks that employ memristor networks for providing synapses can also be used for other applications that require weighted matrix multiplication computations, such as convolution for example.

Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors are disclosed. An MLC NVM matrix circuit includes a plurality of NVM storage string circuits that each include a plurality of MLC NVM storage circuits each containing a plurality of NVM bit cell circuits each configured to store 1-bit memory state. Thus, each MLC NVM storage circuit stores a multi-bit memory state according to memory states of its respective NVM bit cell circuits. Each NVM bit cell circuit includes a transistor whose gate node is coupled to a word line among a plurality of word lines configured to receive an input vector. Activation of the gate node of a given NVM bit cell circuit in an MLC NVM storage circuit controls whether its resistance is contributed to total resistance of an MLC NVM storage circuit coupled to a respective source line.

[006] … Real synapses, however, exhibit non-linear phenomena like spike timing dependent plasticity (STDP) that modulate the weight of an individual synapse based on the activity of the pre- and post-synaptic neurons. The modulation of synaptic weights through plasticity has been shown to greatly increase the range of computations that neural networks can perform.

[0074] Further, if the word lines WL0 -WLm are coupled to a pre-neuron layer and the output nodes 308 ( 0 )- 308 (m ) are coupled to a post-neuron layer, the NVM matrix circuit 300 is also configured to train the channel resistance of the NVM bit cell circuits R00 -Rmn by supporting backwards propagation of a weight update ...

Thanks mate

 

[Diogenese]

Hi Proga,

Sadly the ogre has retired, but the short answer is "No".

Qualcomm has put a lot of effort into analog SNNs and this article does not suggest they have switched away from their in-house technology:

More simultaneous AI tasks, while using less power​

AI (yes, artificial intelligence) has been the rising star in mobile computing over the last few years and that trend continues upwards with the 8 Gen 2.

Although every major element of the SoC already leverages AI to some degree, this generation's dedicated Hexagon Processor offers a revised toolset (including a Tensor accelerator that's doubled in size) set to deliver some significant gains.

Qualcomm promises a 4.35x speed increase when performing AI-based tasks, thanks – in part – to the fact that the 8 Gen 2 is the first of its kind to leverage something called INT4 (integer 4) precision; allowing for 60% more AI-based tasks to be performed concurrently per watt.

Through what can only be arcane wizardry, Qualcomm is able to scale 32-bit processes down to 4-bit without compromising the quality of the data sets being processed, which the company's Ziad Asghar – VP of Product Management at Qualcomm – told TechRadar, amounts to a 64x power reduction.

Upgraded always-on Sensing Hub​

Modern phones can already help us transpose the analogue world into digital; with features like semantic text recognition and object recognition, but the Sensing Hub inside the 8 Gen 2 has been purpose-built to help with such tasks; boasting two AI processing cores for up to double the AI performance compared to 8 Gen 1, along with 50% more memory than previously.

The Sensing Hub supports an 'always-sensing camera' (a rewording from last-generation's 'always-on camera'), that's great for everything from QR code scanning to face proximity detection, facial recognition and even eye-tracking – all without having to actively open your device's camera app.

Asghar confirmed to TechRadar that multiple OEM partners have been particularly interested in this aspect of the Sensing Hub, suggesting the next wave of phones powered by the 8 Gen 2 may well have the ability to scan and action QR codes and the like without even needing to be woken up or for particular apps to be opened to interact with them.

Despite its always-on nature, Qualcomm also states that the data processed by the Sensing Hub doesn't leave your device.

This patent dates from mid-2017.

US10460817B2 Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors


View attachment 22355


[0009] In this regard, FIG. 1A illustrates a matrix network circuit 100 as a cross-bar network that includes a way of interconnecting memristors and CMOS circuit neurons for STDP learning.

[0010] Neural networks that employ memristor networks for providing synapses can also be used for other applications that require weighted matrix multiplication computations, such as convolution for example.

Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors are disclosed. An MLC NVM matrix circuit includes a plurality of NVM storage string circuits that each include a plurality of MLC NVM storage circuits each containing a plurality of NVM bit cell circuits each configured to store 1-bit memory state. Thus, each MLC NVM storage circuit stores a multi-bit memory state according to memory states of its respective NVM bit cell circuits. Each NVM bit cell circuit includes a transistor whose gate node is coupled to a word line among a plurality of word lines configured to receive an input vector. Activation of the gate node of a given NVM bit cell circuit in an MLC NVM storage circuit controls whether its resistance is contributed to total resistance of an MLC NVM storage circuit coupled to a respective source line.

[006] … Real synapses, however, exhibit non-linear phenomena like spike timing dependent plasticity (STDP) that modulate the weight of an individual synapse based on the activity of the pre- and post-synaptic neurons. The modulation of synaptic weights through plasticity has been shown to greatly increase the range of computations that neural networks can perform.

[0074] Further, if the word lines WL0 -WLm are coupled to a pre-neuron layer and the output nodes 308 ( 0 )- 308 (m ) are coupled to a post-neuron layer, the NVM matrix circuit 300 is also configured to train the channel resistance of the NVM bit cell circuits R00 -Rmn by supporting backwards propagation of a weight update ...

... and now in a reprise of my highly acclaimed character as the group wet blanket:

Asus, Honor, Motorola OnePlus, Oppo, Sony, Vivo, Xiaomi, ZTE and more have all committed to delivering 8 Gen 2-powered devices in the near future, however, who'll be first remains to be seen.

 

[Proga]

... and now in a reprise of my highly acclaimed character as the group wet blanket:

Asus, Honor, Motorola OnePlus, Oppo, Sony, Vivo, Xiaomi, ZTE and more have all committed to delivering 8 Gen 2-powered devices in the near future, however, who'll be first remains to be seen.

So they can't use MetaTF to convert into digital?

Yeah I read that bit. What's the significance of Sony being included?

 

[Rise from the ashes]

View attachment 22293

That couch looks like it belongs in a crack house.
Some nostalgia while I'm sitting here eating 3 poorly made pizzas.

1940s Archives - Australian Food Timeline

australianfoodtimeline.com.au

Home delivered pizza in Brisbane-Australian food timeline

Home delivered pizza was pioneered by Silvio's Dial-A-Pizza in Brisbane, followed by Dino's & Pizza Haven in Adelaide, Eagle Boys in Albury

australianfoodtimeline.com.au

1950s Archives - Australian Food Timeline

australianfoodtimeline.com.au

1960s Archives - Australian Food Timeline

australianfoodtimeline.com.au

1970s Archives - Australian Food Timeline

australianfoodtimeline.com.au

Australia's first ATM later to be converted into pizza ovens.

 

[Diogenese]

So they can't use MetaTF to convert into digital?

Yeah I read that bit. What's the significance of Sony being included?

Hi Proga,

Qualcomm has their own analog SNN so, in that sense, Akida would only be duplicating the function of the Qualcomm SNN.

There is a parallel discussion on this thread about Sony/Prophesee

https://www.prophesee.ai/2021/09/09/sony-event-based-vision-sensors-prophesee-co-development/

Atsugi, Japan — Sony Semiconductor Solutions Corporation (“Sony”) today announced the upcoming release of two types of stacked event-based vision sensors. These sensors designed for industrial equipment are capable of detecting only subject changes, and achieve the industry’s smallest*1 pixel size of 4.86μm.

These two sensors were made possible through a collaboration between Sony and Prophesee, by combining Sony’s CMOS image sensor technology with Prophesee’s unique event-based vision sensing technology. This enables high-speed, high-precision data acquisition and contributes to improve the productivity of the industrial equipment.


But the BrainChip/Prophesee engagement is much more recent,

https://www.prophesee.ai/2022/06/20/brainchip-partners-with-prophesee/

Laguna Hills, Calif. – June 14, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world’s most advanced neuromorphic vision systems, today announced a technology partnership that delivers next-generation platforms for OEMs looking to integrate event-based vision systems with high levels of AI performance coupled with ultra-low power technologies.


Since the Sony commitment to Snapdragon 8 gen 2 has been announced, then, assuming there is a binding contract, Sony could be stuck with Qualcomm AI for the term of the contract. Snapdragon 8 gen 2 is a chipset, so is not sold as IP

https://pocketnow.com/snapdragon-8-gen-2-phones/​

The new Snapdragon 8 Gen 2 will debut on these phones​

Qualcomm unveiled its Snapdragon 8 Gen 2 processor recently, and OEMs are ready to release their devices based on the new flagship chipset.
BYSANUJ BHATIA
PUBLISHED 1 DAY AGO

“The Snapdragon 8 Gen 2 Mobile Platform will define a new standard for connected computing, intelligently engineered with groundbreaking AI across the board to enable extraordinary experiences. This new mobile platform will be adopted by global OEMs and brands including ASUS Republic of Gamers, HONOR, iQOO, Motorola, nubia, OnePlus, OPPO, REDMAGIC, Redmi, SHARP, Sony Corporation, vivo, Xiaomi, XINGJI/MEIZU, and ZTE, with the first commercial devices expected by the end of 2022.”


Since the Sony commitment to Snapdragon 8 gen 2 has been announced, then, assuming there is a binding contract, Sony could be stuck with Qualcomm AI for the term of the contract. Snapdragon 8 gen 2 is a chipset, so is not sold as IP.

Of course, this may be contingent on the outcome of the ARM/Qualcomm litigation.

https://www.theregister.com/2022/11/15/qualcomm_snapdragon_8_gen_2/?td=readmore

Qualcomm pushes latest Arm-powered Snapdragon chip amid bitter license fight​

The Snapdragon 8 Gen 2 system-on-chip features eight off-the-shelf cores from Arm, which is locked in a bitter legal fight with Qualcomm over licenses and contracts.
...
This includes an AI acceleration engine that is, we're told, up to 4.35 times faster than the previous generation, and with a potential 60 percent increase in performance-per-watt, depending on how it's used. This unit can be used to speed up machine-learning tasks on the device without any outside help, such as object recognition, and real-time spoken language translation and transcription. The dual-processor engine can handle as low as INT4 precision for AI models that don't need a lot of precision but do need it done fast on battery power, which the 4-bit integer format can afford developers, according to Qualcomm.

Qualcomm is pushing the INT4 capabilities as a precision ideal for modern mobile apps. It said a cross-platform Qualcomm AI Studio is due to be made available in preview form in the first half of next year that will optimize developers' models for this precision as well as other formats. This studio looks like a typical IDE in which programmers can organize their training workflows.
...
The SoC supports up to 200MP image capture and 8K HDR video capture in 10-bit HDR, according to the specifications. Qualcomm said it worked with Samsung and Sony to develop large sensors that the 8 Gen 2 can handle. There are direct paths in the chip that link the Hexagon AI engines to, say, the image-processing units so that pictures and video can be manipulated more efficiently.

The processor, according to Qualcomm, can also be made to reduce the amount of data read and written during neural network inference – which saves power – by breaking input data into not just tiles as other chipsets do, but micro tiles that apparently do a better job of cutting down information transfer.

On the plus side, if Sony/Prophesee had been working with Snapdragon 8 gen 2, then Prophesee's recent endorsement of Akida speaks volumes for the comparative performance of Akida and Snapdragon 8 gen 2's AI analog SNN.

 

[charles2]

Elizabeth Holmes (Theranos) to be sentenced today and faces up to 20 years plus fines and restitution. Perhaps if she had had access to AKIDA her blood testing scam wouldn't have been a scam.

Bad timing on her part.

 

[The Pope]

Yeah. It's just you. Everyone else knows how hard it is to do research. Try it, and you'll find out for yourself. Go on. You can do it!

Yes I have done that if you read my post earlier this week when WSU suggested they have only heard on BRN. I quick game of join the dots via a google search and bingo, the presenters knew a lot more then what they told white horse when he attended a presentation by WSU presenters on neuromorphic. So yes I can do it. Lol

 

[Dallas]

 

[Dallas]

The EINC research building is officially handed over to its intended purpose - Heidelberg scientists are working on and with novel computer technologies at the European Institute for Neuromorphic Computing

 

[TheUnfairAdvantage]

Yeah. It's just you. Everyone else knows how hard it is to do research. Try it, and you'll find out for yourself. Go on. You can do it!

I think you misinterpreted the question Prnewy was asking.
It was posted with respect. Maybe apply the same respect when you next respond.
The post posed a good question to FF and FF respectfully answered.
@prnewy74 good question. I’d love to get an invite to the corporate spa