BRN Discussion Ongoing

Esq.111

Fascinatingly Intuitive.
Good Evening Chippers,

Great to have you back Bravo, love it.

Yet another week in the wilderness....
Being manipulated.

Thankyou to all sluuthes.. amazing .

My mind is abuzz..... just need the honest side of the market to WAKE UP & we shall be away.

Tunes......

Gioli & Assia # Diesislive Club Edition @ Cavo Paridiso, Mykonos Greece 2021.

*Turn it up frrricking loud, these Lasses rock.

I'm going back to sound therapy... with a rather lovely single malt.

Regards,
Esq.
 
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Just my opinion of course but we know:

1.Vorago successfully provided a design to harden AKD1000 for deep space applications.

2. We know Anil Mankar said in an Anastasia interview that AKIDA would likely be produced in 90 nm for NASA.

3. We know ISL working with Brainchip and the US Airforce Research Laboratories proved out their radar simulation SBIR.

4. We know Anil Mankar said AKIDA was being benchmarked against a GPU and it was coming up favourable to AKIDA.

5. We know Edge impulse described AKD1000 as science fiction and could compete at 300 gigahertz with a GPU running at 900 gigahertz.

6. We know researchers found that AKIDA in USB form for $US50.00 was a match for a Nvidia GPU at $US30,000.00.

So I would say pretty well probably.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Most likely our background tech !!

6C6E919F-E3BE-4B95-94F6-1923373C96F3.jpeg
 
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Boab

I wish I could paint like Vincent
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Most likely our background tech !!

View attachment 31806
I was wondering on the Renesas / Avnet / Edge Impulse previously.

Post from early Feb but to do with the RZ/V2L board.


Hmmm....didn't see posted (probs has been?)

From a few days ago....Renesas using Edge Impulse...Raspberry Pi board....not saying we there but like that we are compatible and used with those as well :unsure:



Avnet, Edge Impulse, Processors, Renesas, Software, Tools / February 2, 2023
qI_1w6-aTx0-1024x576.jpg



Dirk Seidel, Strategic Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the December 2022 Edge AI and Vision Innovation Forum. Specifically, Seidel demonstrates the company’s MPU RZ/V series solutions, along with partner (and fellow Alliance Member) Avnet’s RZ/V2L single-board computer (SBC).

The RZ/V series includes a power-efficient AI accelerator, the DRP-AI. The entry-class RZ/V2L device delivers low power and high performance when running fellow Alliance Member company Edge Impulse’s FOMO object detection model on the Renesas EVK, as well as when running a multiple-person pose estimation model on the Avnet RZ/V2L (a SBC in the Raspberry Pi form factor), all without need of a fan or heat sink. Seidel also demonstrates the newly-released TVM development tool for the DRP-AI, running the DeepPose facial landmark model.

 
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Well, since Cathy Woods (ARK Investment) has been mention on this forum a couple of times now, although not my favourite
Funds Manager, give me Jim Simons over her any time. Any way I wonder if an email has been sent to her to ask if she has every heard
of BrainChip, and if she has, what does she think?
Not sure when it was now but it was around the time that Alex the Rocket Scientist was first discovered but someone contacted Cathy Wood and received a reply which they posted saying ARK was aware of Brainchip and watching to see what commercial traction they started to achieve.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Steve10

Regular
My previous posts about market share calculations where I used USD $35B edge AI hardware processor figure from VDC Research are incorrect.

That's the TAM for actual processors & BRN revenue will be about 3% royalty per processor + 2% licencing per processor.
(ARM licencing revenue is 40% of total revenue & royalties are 60%)

Another report by Markets & Markets mentions that the global edge AI hardware market will grow at 20.8% CAGR to 2.716B units by 2027. So by 2030 at 20.8% CAGR there will be 4.787B units.


Using USD $35B from VDC Research / 4.787B units by 2030 = $7.31 per processor x 5% BRN royalty/licencing revenue = 36.55c per processor revenue = 55.51c AUD.

Each 1% = 47.87M units x 55.51c = $26.57M IP royalties/licencing revenue.

So about 10% market share = $265.7M royalties/licencing

$265.7M revenue x 60% EBITDA = $159.42M EBITDA less 21% US corporate tax = $125.94M NPAT X PE60 = $7.556B MC / 1.8B SOI = $4.20 SP.
(NPAT of 60% of revenue previously mentioned for ARM is incorrect. Confirmed as EBITDA)

Edge AI hardware processor global market TAM of AUD $53.1B x IP royalty/licencing revenue of 5% = AUD $2.655B in 2030.

Reviewed two market research reports for global semiconductor IP market to identify TAM. One mentions TAM of $10.93B AUD in 2026 @ 5.4% CAGR = $13.5B in 2030 & the other mentions $12.95B AUD in 2029 @ 8.1% CAGR = $14B in 2030. In 10 years in 2033 the semiconductor IP market TAM will be $17.7B AUD @ 8.1% CAGR.


Renesas IP is mentioned in the above report offering a wide range of IP solutions for various microcontroller units (MCU's) & system-on-chip products (SoC's).

Edge AI hardware processor IP market TAM of $2.655B AUD / $14B semiconductor IP market TAM in 2030 = 19% of IP market in 2030 will be for edge AI hardware processors.

VDC Research mentioned edge AI hardware processor market TAM of $35B USD = $53.1B AUD . Allied Research mentions $59B AUD edge AI hardware processor market in 2030 @ 18.8% CAGR so in 10 years by 2033 will be $98.9B or about $100B AUD TAM.



$100B AUD edge AI hardware processor market TAM x 5% IP royalty/licencing market TAM = $5B / $17.7B IP global TAM = 28.25% of IP market in 2033 will be for edge AI hardware processors.

In 10 years 10% market share of $5B IP royalty/licencing TAM = $500M revenue x 60% EBITDA = $300M less 21% US corporate tax = $237M NPAT x PE60 = $14.22B MC / 1.8B SOI = $7.90 SP.

With 12% market share = $600M revenue x 60% EBITDA = $360M less 21% tax = $284.4M NPAT x PE60 = $17.06B MC / 1.8B SOI = $9.48 SP.

So about 50c to $10 SP = x20 in 10 years for 12% market share based on $5B AUD IP royalty/licencing market TAM.

$17.7B semiconductor IP market TAM in 2033 @ 8.1% CAGR = $26.12B in 2038.

$100B edge AI hardware processor market TAM in 2033 @ 18.8% CAGR = $236.6B x 5% IP royalty/licencing market TAM = $11.83B in 2038.

$11.83B / $26.12B = 45.3% of IP market in 2038 will be for edge AI hardware processors.

$11.83B in edge AI hardware processor IP market TAM in 2038 x 12% market share = $1.42B revenue x 60% EBITDA = $852M less 21% US corporate tax rate = $673.1M NPAT x PE60 = $40.4B MC / 1.8B SOI = $22.44 SP.

Will be $28B in edge AI hardware processor IP market TAM in 2043 x 12% market share = $3.36B x 60% EBITDA = $2B less 21% tax = $1.58B NPAT x PE60 = $94.8B MC / 1.8B SOI = $52.67 SP.

And according to these reports the edge AI hardware processor IP market will grow much faster than the semiconductor IP market. From 19% market share in 2030 to 45.3% in 2038 of total semiconductor IP market.

The $53-59B AUD mentioned for edge AI processor market TAM in 2030 is from known applications today without factoring in new applications in future so it could be higher.

ARM took about 20 years for revenue to rise to USD $746M in a quarter = about USD $3B pa.

Still early days for BRN. Looks like BRN is a long term hold.
 
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buena suerte :-)

BOB Bank of Brainchip
Good Evening Chippers,

Great to have you back Bravo, love it.

Yet another week in the wilderness....
Being manipulated.

Thankyou to all sluuthes.. amazing .

My mind is abuzz..... just need the honest side of the market to WAKE UP & we shall be away.

Tunes......

Gioli & Assia # Diesislive Club Edition @ Cavo Paridiso, Mykonos Greece 2021.

*Turn it up frrricking loud, these Lasses rock.

I'm going back to sound therapy... with a rather lovely single malt.

Regards,
Esq.
Enjoy!!

 
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Sam

Nothing changes if nothing changes
My previous posts about market share calculations where I used USD $35B edge AI hardware processor figure from VDC Research are incorrect.

That's the TAM for actual processors & BRN revenue will be about 3% royalty per processor + 2% licencing per processor.
(ARM licencing revenue is 40% of total revenue & royalties are 60%)

Another report by Markets & Markets mentions that the global edge AI hardware market will grow at 20.8% CAGR to 2.716B units by 2027. So by 2030 at 20.8% CAGR there will be 4.787B units.


Using USD $35B from VDC Research / 4.787B units by 2030 = $7.31 per processor x 5% BRN royalty/licencing revenue = 36.55c per processor revenue = 55.51c AUD.

Each 1% = 47.87M units x 55.51c = $26.57M IP royalties/licencing revenue.

So about 10% market share = $265.7M royalties/licencing

$265.7M revenue x 60% EBITDA = $159.42M EBITDA less 21% US corporate tax = $125.94M NPAT X PE60 = $7.556B MC / 1.8B SOI = $4.20 SP.
(NPAT of 60% of revenue previously mentioned for ARM is incorrect. Confirmed as EBITDA)

Edge AI hardware processor global market TAM of AUD $53.1B x IP royalty/licencing revenue of 5% = AUD $2.655B in 2030.

Reviewed two market research reports for global semiconductor IP market to identify TAM. One mentions TAM of $10.93B AUD in 2026 @ 5.4% CAGR = $13.5B in 2030 & the other mentions $12.95B AUD in 2029 @ 8.1% CAGR = $14B in 2030. In 10 years in 2033 the semiconductor IP market TAM will be $17.7B AUD @ 8.1% CAGR.


Renesas IP is mentioned in the above report offering a wide range of IP solutions for various microcontroller units (MCU's) & system-on-chip products (SoC's).

Edge AI hardware processor IP market TAM of $2.655B AUD / $14B semiconductor IP market TAM in 2030 = 19% of IP market in 2030 will be for edge AI hardware processors.

VDC Research mentioned edge AI hardware processor market TAM of $35B USD = $53.1B AUD . Markets & Markets mentions $59B AUD edge AI hardware processor market in 2030 @ 18.8% CAGR so in 10 years by 2033 will be $98.9B or about $100B AUD TAM.



$100B AUD edge AI hardware processor market TAM x 5% IP royalty/licencing market TAM = $5B / $17.7B IP global TAM = 28.25% of IP market in 2033 will be for edge AI hardware processors.

In 10 years 10% market share of $5B IP royalty/licencing TAM = $500M revenue x 60% EBITDA = $300M less 21% US corporate tax = $237M NPAT x PE60 = $14.22B MC / 1.8B SOI = $7.90 SP.

With 12% market share = $600M revenue x 60% EBITDA = $360M less 21% tax = $284.4M NPAT x PE60 = $17.06B MC / 1.8B SOI = $9.48 SP.

So about 50c to $10 SP = x20 in 10 years for 12% market share based on $5B AUD IP royalty/licencing market TAM.

$17.7B semiconductor IP market TAM in 2033 @ 8.1% CAGR = $26.12B in 2038.

$100B edge AI hardware processor market TAM in 2033 @ 18.8% CAGR = $236.6B x 5% IP royalty/licencing market TAM = $11.83B in 2038.

$11.83B / $26.12B = 45.3% of IP market in 2038 will be for edge AI hardware processors.

$11.83B in edge AI hardware processor IP market TAM in 2038 x 12% market share = $1.42B revenue x 60% EBITDA = $852M less 21% US corporate tax rate = $673.1M NPAT x PE60 = $40.4B MC / 1.8B SOI = $22.44 SP.

Will be $28B in edge AI hardware processor IP market TAM in 2043 x 12% market share = $3.36B x 60% EBITDA = $2B less 21% tax = $1.58B NPAT x PE60 = $94.8B MC / 1.8B SOI = $52.67 SP.

And according to these reports the edge AI hardware processor IP market will grow much faster than the semiconductor IP market. From 19% market share in 2030 to 45.3% in 2038 of total semiconductor IP market.

The $53-59B AUD mentioned for edge AI processor market TAM in 2030 is from known applications today without factoring in new applications in future so it could be higher.

ARM took about 20 years for revenue to rise to USD $746M in a quarter = about USD $3B pa.

Still early days for BRN. Looks like BRN is a long term hold.
Yeah but it is faster moving these days mate… gone from zero to 100 in no time flat, it definitely won’t take 20 years.
 
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Never seen this article before in my years of researching. Estee Lauder (specifically - Sowmya Gottipati, vice president and global brand technology leader of Estee Lauder) were clearly exploring the use of neuromorphic technology in 2021. Anyone aware of any known links to Estee Lauder?

AI Summit New York: Estee Lauder’s advanced imaging models are making beauty personal​

The company is using advanced imaging powered by AI to give customers beauty products tailored to their skincare needs
Picture of Callum Cyrus
Callum Cyrus
December 13, 2021
1 Min Read

The fragrance industry is exploring artificial intelligence that allows the creator to model the brain’s olfactory receptors, in effect mimicking triggers in the human sense of smell.
That was one of the take-aways from a Thursday session of the AI Summit delivered by Sowmya Gottipati, vice president and global brand technology leader at Estee Lauder.
In the not-so-distant future, neuromorphic chips could even embed olfactory senses directly into digital devices themselves, Gottipati said, opening up whole new opportunities for fragrance companies.


Elsewhere in the beauty sector, consumers no longer need a dermatologist thanks to augmented reality tools that pinpoint skin conditions using the customer’s smartphone camera.
Estee Lauder’s advanced imaging models ingested more than 100 million data points relating to different skin types and ailments, and can also be used for matching the right shade for make-up products.
It’s all part of a trend toward personalized skincare, beauty and fragrance products which Gottipati says will be central to industry rapport with consumers in coming years.
From a product development point of view, AI is allowing vendors to understand what customers want and respond with appropriate recommendations, loyalty deals and shopping experiences.
Estee Lauder, for example, has a foundation brand that allows customers to book a consultation and mix up a foundation personalized just for them using a selection of ingredients.
“There’s a lot of AI we’re employing in the background to provide that 24-hour real-time connection with consumers,“ Gottipati said.
 
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Terroni2105

Founding Member
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Diogenese

Top 20
No it does not really bother me, I have made him a little bit of money over the years, and only one I stuffed up. But telling
friends, I only tell a couple of friends, I believe, don't tell anybody, because if you do and they lose their money, you.
are the biggest P#$ck in town, and I only tell people what I lose, that way they don't ask.😉
Yes. My social diary was empty when we hit 3 cents.
 
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cosors

👀

Just for general info. I don't know if there is anything to it.

"Samsung Galaxy S23: Numerous users complain about camera problems​

03/10/2023

There are complaints about the photo quality of the Samsung Galaxy S23 and S23 Plus on the internet.

Samsung presented its new flagship model, the Galaxy S23, in early February. Although the camera and photo quality of the Samsung smartphone performed relatively well in our test , user complaints are increasing online.
While the smartphone convinced our tester with an excellent display, top battery life and beautiful photos, according to a report on Caschy's blog , many Samsung Galaxy S23 and S23 Plus owners complain about the significant blurriness of the camera.

Samsung Galaxy S23: blurriness goes beyond the usual level​

1678453948137.png

Samsung S 23: Many users complain about the poor photo quality of the new high-end power pack.
CHIP/Marcus fight

According to users, the blurriness far from the center of the image is more than usual, which affects the quality of the photos. S23 and S23 Plus owners who complain about the poor photo quality of their smartphone can discuss the problem in the following forum .
It is not yet clear how many users are affected by this problem. It is also still unclear to what extent Samsung can fix this problem with a simple firmware update."
https://www.chip.de/news/Samsung-Galaxy-S23-numerous-users-complain-about-camera-problems_184689286.html
 
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Kachoo

Regular
I must have missed this but mmmhmmmm
Got me a bit moist.

View attachment 31842

If they are going to put Neuromorphic computing in their cars you can bet that they will run that for over a year to see if they get any issues prior to even thinking of production. Looks promising.
 
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Kachoo

Regular
I'm trully shocked at the Number of articles on Neuromorphic computing being released. There is some strong word and backing. Things are trully getting exciting.

I will just add one comment on the SP if the Mercedes announcement ran us to 2.34 imagine what it will do when we start signing IP deals and showing revenue with everyone knowing about Neuromorphic lol IMO.

Have a great weekend
 
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cosors

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wilzy123

Founding Member


 
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S

Straw

Guest
The site was down this morning by the looks.
 
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