BRN Discussion Ongoing

[thelittleshort]

 

[Fact Finder]

Media Alert: BrainChip Talks AI Innovation with Accenture's Managing Director and Global Chief Technology Officer, Applied Intelligence Jean-Luc Chatelain

 

[spookymulder]

Not sure if this has been posted, seemingly hot off the press! Our man Sean speaking with Accenture on the upcoming BRN podcast

Media Alert: BrainChip Talks AI Innovation with Accenture's Managing Director and Global Chief Technology Officer, Applied Intelligence Jean-Luc Chatelain

BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, invites you to a conversation with Jean-Luc Chatelain, Managing Director and Global Chief Technology Officer of Accenture Applied...

finance.yahoo.com

 

[Mccabe84]

So no explosion in sales anytime soon ? Otherwise LDA wouldn’t be needed

 

[Pmel]

So no explosion in sales anytime soon ? Otherwise LDA wouldn’t be needed

Doesnt look like. Well....

 

[Damo4]

So no explosion in sales anytime soon ? Otherwise LDA wouldn’t be needed

What's the cost of good sold??
Are you implying that if it was at 50%, we would be expected to be selling $30m in chips to cover $15m of R&D costs, literally not including the usual running costs set out on the last 4C?

Wouldn't $10m still be considered an explosion, given the last 4C? That would still very much require this Capital call.

 

[JK200SX]

Doesnt look like. Well....

Nothing wrong with having a good cash buffer - I think this is all positive!

 

[Jimmy17]

So no explosion in sales anytime soon ? Otherwise LDA wouldn’t be needed

No, brn are obliged to draw on $15 mil before 31 Dec 2023. They have to take it whether or not they need it, as per the original funding agreement

 

[Boab]

Yes, hot off the press.

“The proceeds raised from the capital call will be used to accelerate our innovation of the groundbreaking Akida technology as we extend our industry leadership in Edge AI. In 2023 the company will tape out another chip and release significant enhancements to our IP offering”, said BrainChip CEO Sean Hehir. Mr. Hehir went on to say “Additionally, we will further expand our go-to-market capabilities by hiring sales personnel in key international markets, as well as increase our domestic sales and marketing headcount.”

I like this wording, but still have Sean's comments about covering all employee costs by end of 2022 with sales! Is it just me or has Sean not being doing many interviews lately?


AKIDA Ballista

He must have heard you. Podcast out tomorrow.

 

[TECH]

So this article has made me think again about the potential behemoth that BRN could become. Let's say that the only use case for AKIDA was agricultural applications - weeding, fertilising, recognising sick animals etc. If adopted worldwide (and why wouldn't it be if it's the best and cheapest option out there) then this one industry alone could turn BRN into a multi billion dollar company.

Knowing what we do about possible penetration into multiple and diverse industries, plus our up to 3 year lead on competing technologies, how big can BRN actually get and what does the SP look like when this is a mature company, say 5 to 10 years from now?

HUGE

Read Sean's words very carefully, "significant enhancements to our IP offering"

All of 2023 and All of 2024

Texta x

 

[FJ-215]

Would that be the same Accenture that is a member of the Intel Neuromorphic Research Community?



Spoiler Alert...

The Intel Neuromorphic Research Community (Intel NRC)

 

[Fact Finder]

This Podcast has Sean Hehir leading the discussion:

"This is our Mission" podcast. He joins BrainChip CEO Sean Hehir to help listeners understand how data-driven AI will help businesses gain insight into their business process and affect positive outcomes. The podcast will be available Wednesday, January 11 at 3 p.m. PST on BrainChip's website and across popular podcast platforms.

Accenture is a global leader in leveraging Applied Intelligence to help organizations make smarter decisions faster and enabling growth at scale from edge to cloud. Chatelain leads a team of designers, engineers and data scientists developing the Applied Intelligence Platform (AIP+), Accenture's flagship intelligence service. AIP+ allows clients to leverage trusted data to discover actionable insights, better understand their business processes and achieve business objectives faster.
As CTO, Chatelain serves as a trusted advisor to Accenture clients, applying the best technology to fulfill business needs while supporting growth through innovation.

"Jean-Luc, with his vast experience, provides great insight into pragmatic AI solutions that businesses value as transformative assets," said Hehir. "I strongly agree with his prediction on the potential for neuromorphic technology, which is the basis of BrainChip's Akida products, in helping the industry fully realize the benefits of AI."

In my opinion could be a significant Podcast.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

It may be lumpy guidance.

listen to the portion starting from 1:28:45 sec and tell me what you hear Todd is saying about Apple and Qualcomm…help me interpret his message…are they integrating our Akida engine?

Hi @Beebo, I believe what Todd is saying is something along these lines; that unlike BrainChip who are using an older manufacture tech (TSMC 28 nanometer), other companies like Apple and Qualcomm are building their next-gen SOC lower using lower technology (i.e. 5 nanometer or even 3 nanometer). He then goes on to say that by taking "our engine" and integrating into these lower technologies, you're going to be able to achieve "X" percentage lower power and higher compute. But since it's a new tech and disruptive, we have to prove it out before people will use it.

 

[FJ-215]

Media Alert: BrainChip Talks AI Innovation with Accenture's Managing Director and Global Chief Technology Officer, Applied Intelligence Jean-Luc Chatelain

Sean sitting in for Rob on this podcast.

Very interesting

 

[ndefries]

No, brn are obliged to draw on $15 mil before 31 Dec 2023. They have to take it whether or not they need it, as per the original funding agreement

Exactly right. This has to happen and the CFO has been good at timing these to date with positive news. Just picked up another 10K based on the unneccessary drop.

 

[Quatrojos]

The capital call seems to reflect the overall economic headwinds mentioned by SH in the last quarterly...

 

[Papacass]

I’m not the smartest tool in the shed but does today’s announcement imply that the IP for Akida 2000 is up and running? I thought it most likely was by this time but if tape out is happening (I assume for Akida 2000 reference chips for customers) the Akida 2000 secret sauce is cooked. Great news! Onward.

 

[Xhosa12345]

This Podcast has Sean Hehir leading the discussion:

"This is our Mission" podcast. He joins BrainChip CEO Sean Hehir to help listeners understand how data-driven AI will help businesses gain insight into their business process and affect positive outcomes. The podcast will be available Wednesday, January 11 at 3 p.m. PST on BrainChip's website and across popular podcast platforms.

Accenture is a global leader in leveraging Applied Intelligence to help organizations make smarter decisions faster and enabling growth at scale from edge to cloud. Chatelain leads a team of designers, engineers and data scientists developing the Applied Intelligence Platform (AIP+), Accenture's flagship intelligence service. AIP+ allows clients to leverage trusted data to discover actionable insights, better understand their business processes and achieve business objectives faster.
As CTO, Chatelain serves as a trusted advisor to Accenture clients, applying the best technology to fulfill business needs while supporting growth through innovation.

"Jean-Luc, with his vast experience, provides great insight into pragmatic AI solutions that businesses value as transformative assets," said Hehir. "I strongly agree with his prediction on the potential for neuromorphic technology, which is the basis of BrainChip's Akida products, in helping the industry fully realize the benefits of AI."

In my opinion could be a significant Podcast.

My opinion only DYOR
FF

AKIDA BALLISTA

love a good jean-luc!

 

[buena suerte :-)]

Exactly right. This has to happen and the CFO has been good at timing these to date with positive news. Just picked up another 10K based on the unneccessary drop.

Just typing the same thing @ndefries ! (Edit) if it has to be honoured then do it now!! GREAT move then all subsequent announcements that follow will be greeted with max positivity

 

[Diogenese]

View attachment 26611

Sapeon does not use spikes. They use CNN:

US11475100B2 Device and method for convolution operation

[0006] However, in processes of recognizing the information included in the target data for recognition by using the convolution neural network techniques, the convolution operation consisting of a combination of multiplication and addition is performed a plurality of times. The convolution operation that requires a large amount of calculations repetitively performed may be obstacles to data recognition through the convolution neural network techniques. Particularly, in fields of image data recognition in which speedy calculation is important, such as the self-driving described above, time spent for the convolution operation may be a large problem.

a convolution operation method. The method comprises, extracting, from a feature data with a M×N matrix (M and N are a natural number), a plurality of separate sub-matrices which have identical dimensions to a convolution kernel with a K×L matrix (K is a natural number equal to or smaller than M, and L is a natural number equal to or smaller than N); generating a first vector which includes elements of at least one of the sub-matrices as elements of the first vector, and a second vector which includes elements of the convolution kernel as elements of the second vector; extracting, from the first vector, a partial vector including all elements of the sub-matrix, for each of the sub-matrices; and deriving a result of a convolution operation by multiplying between each element of the partial vector corresponding to each of the sub-matrices and each element at a corresponding position in the second vector, and by adding results of the multiplication.