BRN Discussion Ongoing

[Evermont]

Non-sensitive Announcement Page for those who have not bookmarked yet.

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BrainChip is ASX listed but identifies as a Fortune 500.

 

[alwaysgreen]

With respect @alwaysgreen
An appoinment of this calibre is not a "fluff announcement"

Its yet another strategic building block , a strengthening of the company, that the wider market should be aware of. !!!!!

Yes, i , like you are anticipating either a company making announcement or two going forward, or hopefully a considerable "up lump"
in the next 4c, ............ but i think that would be much nicer from a higher s/p base than we have now, and imo, announcements like this that
could have been, would elevate the base s/p from which we can then launch.

Sometimes unforseen circumstances arrive in peoples lives, which not by intent, make some investors have to sell down their shareholding to cover there unforseen bills/emergencies etc, ................ and at this price i think we could all agree that its not fair.

Great that so many on TSE continually put so much into "dot joining" ............... but a concrete appointment of this calibre should be known to the wider market when it happens.

Anywho, it is what it is, and as mentioned earlier, just pissed with the s/p stagnation.

AKIDA BALLISTA

Obviously it is an excellent hire and not actually fluff but hopefully it is fluff in comparison to what is to come.

I know we are not CBA or BHP, but would you expect them to announce the hire of a new marketing officer?

I don't totally disagree with what you are saying and we are all entitled to our opinions. I'm just hoping my reasoning is correct

 

[VictorG]

If I recall correctly Nadel was coaxed out of retirement or semi retirement to head BRN marketing. In the September 4c, Sean mentioned that BRN experienced the most sales enquiries in its history.
With the above context in mind I can only assume that Jerome achieved his goals by generating historical sales enquiries (and very possibly sales) for BRN and then he realised the position was much bigger than he imagined and he wanted to maintain some level of work/life balance. All guesswork on my part but we cant ignore Sean's statement about BRN receiving historical sales enquiries!

For what its worth I agree that an asx announcement is warranted and should be expected by BRN shareholders.

 

[Tezza]

Not fussed by no Ann regarding new exec, we all know. I am awaiting the Ann that jumps the sp to a point that it sustains not a Ann the pushes sp up for a day or 2.

 

[Dr E Brown]

When I raised about the move of Jerome to a part time marketing and strategy advisor some weeks ago, nobody took much interest. Now everybody is screaming from the rooftops about what happened, need an ASX announcement.
My own take is an ASX announcement is a nice to have for prickly shareholders.
I am more interested in share price sensitive announcements.
If you had looked at Jerome’s LinkedIn account when he moved to part time it noted his achievements as having rebranded, simplified messaging and had automated the marketing, which I found interesting. Still don’t fully understand what that means. So I will assume that he achieved what was required of him before peddling off into the sunset.

 

[Evermont]

Announcements remain consistent and appear to include Director appointments only.

* Sean Hehir - 15 November 2021
* Antonia J. Viana - 01 March 2022
* Duy-Loan Le - 01 November 2022

 

[Hammertime]

And it just never ever stops happening. My interest commenced in 2016 and has never waned.

As I said researching AKIDA technology is much more fun than Sudoku or Crossword puzzles to ward off dementia.

@prnewy74 further to my earlier answer as data acquisition moves to the Edge or End Point you also start to see bandwidth issues arise.

Bandwidth does not just exist on the poles outside, in multi-storey skyscrapers bandwidth is inside walls and increasingly it comes with huge logistical and cost issues if your solution is to increase it by ripping out the old and adding new.

If every occupant adds a smart robot vacuum cleaner to their appliances this starts to take up bandwidth that never envisaged these types of technology.

Bandwidth is just like a city road system. It has a maximum capacity and it only requires one more car or device beyond capacity to jam the entire system.

AKIDA at the Edge or End Point only selecting the relevant data and sending it as meta data preserves or maximises existing bandwidth so that big tech can sell more smart fridges, washing machines, PCs, phones, fitbits etc etc.

In these existing systems you even have limitations on the amount of power available over imbedded electrical cabling that can be drawn too run all these new technologies and here to AKIDA using such ridiculously low power also adds essential value.

There are more essential reasons for big tech to embrace AKIDA than to reject it.

My opinion only DYOR
FF

AKIDA BALLISTA

And it just never ever stops happening. My interest commenced in 2016 and has never waned.

As I said researching AKIDA technology is much more fun than Sudoku or Crossword puzzles to ward off dementia.

@prnewy74 further to my earlier answer as data acquisition moves to the Edge or End Point you also start to see bandwidth issues arise.

Bandwidth does not just exist on the poles outside, in multi-storey skyscrapers bandwidth is inside walls and increasingly it comes with huge logistical and cost issues if your solution is to increase it by ripping out the old and adding new.

If every occupant adds a smart robot vacuum cleaner to their appliances this starts to take up bandwidth that never envisaged these types of technology.

Bandwidth is just like a city road system. It has a maximum capacity and it only requires one more car or device beyond capacity to jam the entire system.

AKIDA at the Edge or End Point only selecting the relevant data and sending it as meta data preserves or maximises existing bandwidth so that big tech can sell more smart fridges, washing machines, PCs, phones, fitbits etc etc.

In these existing systems you even have limitations on the amount of power available over imbedded electrical cabling that can be drawn too run all these new technologies and here to AKIDA using such ridiculously low power also adds essential value.

There are more essential reasons for big tech to embrace AKIDA than to reject it.

My opinion only DYOR
FF

AKIDA BALLISTA

Brilliant!!... As the old saying goes... "back to basics". We dig so deep looking for an edge or dots that sometimes we forget the main advantage of Akida... power and bandwidth savings.

 

[Xray1]

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.

Sounds like history repeating itself like in the situation of " VHS v Beta " technology.

Is a press release not enough though?

At this stage in the journey, it is for me.

The posting of this appointment on the Co website & TSE is imo just as good as a formal ASX Co announcement ....... imo, even if an Co announcement was made on the ASX about a BRN executive appointment who else would really care besides the 46,000+++ current S/holders.

 

[Evermont]

I tend to agree with you DOC however the issue here is not the value of the announcement but the consistency of BRN announcements.
Nadel got an ASX announcement, why not Nandan?

No announcement for Nadel either Victor.

 

[chapman89]

Our new appointment, Mr Nanden Nayampally leaves a US$1 Trillion successful company who he helped drive the adoption of Alexa, Amazon being in the top 10 largest companies in the world, to join a so called no-hope $1 billion company who have no chance according to Motley Fool and some others???
Yeah that sounds about right….

I cannot wait until the whole world is proven wrong, those that still give Brainchip no hope will be eating their own words like those that said the internet, Amazon, Tesla and others would fail!

It’s a matter of when, not if!!!

 

[Fact Finder]

Both Anil and Nandan are IIT Mumbai alumni ...

Sorry can't help myself but as many are coming up with theories based on no facts just emotions here are some little facts to consider:

1. Rob Telson used always mention the flaws in Alexa when connectivity was not available but now he does not use Alexa as an example;

2. Alexa is being used by NASA in space and no longer requires connectivity to function up there???

3. Nayampally comes to BrainChip from Amazon, where he helped accelerate the adoption of Alexa Voice and other multimodal services into third-party devices.

Why is Brainchip promoting/playing up that Mr. Nayampally is formerly an ARM executive well before he moved to AMAZON and playing down that Mr. Nayampally is coming directly to Brainchip from AMAZON having worked on the Alexa Voice and other multimodal services into third part devices?

My wild speculation based on no real facts, just tiny little ones, could it be that a shareholder communication not on the ASX is actually something agreed with AMAZON to avoid the above type of speculation about a relationship between Brainchip and AMAZON?

So I ask the question of all here why is my wild speculation based on only tiny little facts any less credible than all the other wild speculation and if it is not less credible can we please avoid the mob mentality and try and base our comments in calm reason.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: If some of my text is underlined it is a glitch which I cannot seem to correct so please ignore.

 

[VictorG]

No announcement for Nadel either Victor.

I'm very happy to be corrected, that puts to bed consistency issues. Cheers

 

[VictorG]

And now for some distraction. Latest Tesla catching fire.

 

[VictorG]

And now for some distraction. Latest Tesla catching fire.

Apparently the Tesla caught fire after hitting debris on the road.
Imagine if the Tesla could identify debris, how cool would that be ???

 

[Fact Finder]

And now for some distraction. Latest Tesla catching fire.

I wonder if that will be published as a price sensitive announcement by Tesla warning that battery impact can cause this too occur.

 

[wilzy123]

Sorry can't help myself but as many are coming up with theories based on no facts just emotions here are some little facts to consider:

1. Rob Telson used always mention the flaws in Alexa when connectivity was not available but now he does not use Alexa as an example;

2. Alexa is being used by NASA in space and no longer requires connectivity to function up there???

3. Nayampally comes to BrainChip from Amazon, where he helped accelerate the adoption of Alexa Voice and other multimodal services into third-party devices.

Why is Brainchip promoting/playing up that Mr. Nayampally is formerly an ARM executive well before he moved to AMAZON and playing down that Mr. Nayampally is coming directly to Brainchip from AMAZON having worked on the Alexa Voice and other multimodal services into third part devices?

My wild speculation based on no real facts, just tiny little ones, could it be that a shareholder communication not on the ASX is actually something agreed with AMAZON to avoid the above type of speculation about a relationship between Brainchip and AMAZON?

So I ask the question of all here why is my wild speculation based on only tiny little facts any less credible than all the other wild speculation and if it is not less credible can we please avoid the mob mentality and try and base our comments in calm reason.

My opinion only DYOR
FF

AKIDA BALLISTA

PS: If some of my text is underlined it is a glitch which I cannot seem to correct so please ignore.

No...... it's more fun to speculate, and then extrapolate that speculation out to even bigger claims and then start hyperventilating

 

[SERA2g]

Serious news!

BrainChip Names Former Arm Executive Nandan Nayampally as Chief Marketing Officer​

Sunday, November 20, 2022 5:30 PM

Brainchip Holdings Limited/ADR

Home

Unlock the power of AI with BrainChip. Enhance data processing, Edge apps and neural networks at the speed of tomorrow. Explore now!

brainchip.com

Share this Article

Topic:

Management Changes
LAGUNA HILLS, CA / ACCESSWIRE / November 20, 2022 /BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, has hired Nandan Nayampally as Chief Marketing Officer to drive all aspects of marketing, product management and business strategy for the company's AkidaTM event-based AI neural processor IP, and its portfolio of Essential AI enabling technology solutions.

Nayampally is an entrepreneurial executive with more than 25 years of success in building or growing technology businesses with industry-wide impact. He was at Arm for more than 15 years in a variety of product marketing and product management leadership roles, eventually becoming vice president and general manager of Arm's signature CPU group and the Client Line of Business, , where he identified key technology investments, developed a strategy and roadmap of products to deliver compelling, market-leading solutions for billions of SoCs, while establishing strategic partnerships and alliances. Nayampally comes to BrainChip from Amazon, where he helped accelerate the adoption of Alexa Voice and other multimodal services into third-party devices.


"I am excited to join BrainChip. Our unique approach to performant and efficient edge AI at scale is a great enabler for an industry that is looking for innovative and transformative solutions" said Nayampally. "It is a great opportunity to not only advance product intelligence at the sensor and the edge but unleash the full power of AI. BrainChip is positioned to create that positive change and I'm thrilled to be a part of making that happen."

"Nandan has a deep technical understanding of semiconductor design and IP as well as the market factors that lead to product success," said Sean Hehir, CEO. "We look forward to leveraging his product experience and executive success at companies like Arm and Amazon to help us deliver BrainChip solutions to the market."

" and its portfolio of Essential AI enabling technology solutions."

"Portfolio" would generally mean more than one.

We must be getting close to hearing more about 2.0.

IMO DYOR

 

[Rskiff]

And now for some distraction. Latest Tesla catching fire.

and latest from a ICE vehicle. https://www.slashgear.com/1110627/jay-leno-reveals-graphic-details-about-his-car-fire-burns/

 

[JoMo68]

Looks like another reshuffle taking place.... maybe Jerome will be taking on another role???

I think Jerome had a pretty serious cycling accident not so long ago (he spoke about it in one of his podcasts - not sure which one though) - maybe taking a bit of a step back?

 

[Fullmoonfever]

Whilst the below April 2022 independent testing article in Plos One utilises Loihi, like to believe we all have an understanding of how we stack up against Loihi.

The main takeaways for me and the supporting results only add weight to the potential and capabilities of Akida vs CPU & GPU and how it provides an exceptional complimentary accelerator / processor imo.

Full article here for those more tech savvy:

Neuromorphic computing for content-based image retrieval

Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency. Here, we explore the application of Loihi, a...

journals.plos.org

Abstract​

Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency. Here, we explore the application of Loihi, a neuromorphic computing chip developed by Intel, for the computer vision task of image retrieval. We evaluated the functionalities and the performance metrics that are critical in content-based visual search and recommender systems using deep-learning embeddings. Our results show that the neuromorphic solution is about 2.5 times more energy-efficient compared with an ARM Cortex-A72 CPU and 12.5 times more energy-efficient compared with NVIDIA T4 GPU for inference by a lightweight convolutional neural network when batch size is 1 while maintaining the same level of matching accuracy. The study validates the potential of neuromorphic computing in low-power image retrieval, as a complementary paradigm to the existing von Neumann architectures.

The comparison of the average power consumptions between the SNNs and the ANNs is shown in Table 4. With the batch size set to one, the SNN with 16 time steps uses 217.0x/24.0x less power than the ANNs on Xeon/i7 CPUs, 9.3x less than the ANN on ARM CPU, and 40.8x/31.3x less than the ANNs on V100/T4 GPU. This is where neuromorphic hardware starts to shine as it consumes way less power than the conventional hardware. Utilizing the temporal sparsity of SNN appropriately, we believe the neuromorphic hardware can further reduce its power consumption. Another thing that we can observe from Table 4 is that the static (idle) power dominates the power consumption of the Loihi chip.

We measured the total energy used per inference (forward pass) reported in Table 5. These results can also be estimated by combining the results of Tables 3 and 4. As summarized in Table 5, with the batch size set to one, the energy consumption of SNN with 16 time steps is 15.6x/3.2x less than the ANNs on Xeon/i7 CPUs, 2.5x less than the ANN on ARM CPU, and 17.5x/12.5x less than the ANNs on V100/T4 GPUs per inference. This proves the benefits of the neuromorphic hardware in the low energy-budget applications of machine learning, particularly lightweight image search engines and visual recommender systems. It is apparent that when large batch sizes are used, CPUs and GPUs consume less energy per example. However, there are many use cases where inference is executed in small batches, and they are the targets for neuromorphic hardware in the current stage.

Conclusion​

We studied the application of the Loihi chip, a neuromorphic computing hardware developed by Intel, in image retrieval. Our results show that the generation of the deep learning embeddings by spiking neural networks for lightweight convolutional neural networks is about 2.5 times more energy-efficient compared with a CPU and 12.5 times more energy-efficient compared with a GPU. We confirm the long-term potential of neuromorphic computing in machine learning, not as a replacement for the predominant von Neumann architecture, but as accelerated coprocessors.