BRN Discussion Ongoing

[7für7]

Whom ever made this video could at least advised Sean which camera to look at , unprofessional to say the least.

Actually it’s nowadays common to make interviews like that, this way… no one looks directly to the cam… it looks stupid to be honest… from my point of view it’s fresh and up to date!

Edit: it should give you the expression that he talks to someone

 

[Slade]

Whom ever made this video could at least advised Sean which camera to look at , unprofessional to say the least.

Thanks for sharing. This interview is the best that I have seen Sean speak. Very confident, very professional.

 

[Smoothsailing]

Absolutely Dell across neuromorphic and were aware of us since early 2022.

BRN Discussion Ongoing

Good morning, Within the next 14 business days Brainchip will be required to deliver it's 2nd quarter results and short-term guidance, this upcoming 4C will determine our share price movement in the immediate short-term, my gut feeling like a number of posters is once again, very little income...

thestockexchange.com.au

From Dell Tech presso this month (Oct 23).

Wonder if they just watching the general horizon or they talking about their own horizon

HERE

We also know from a previous post that Dell aware of us from at least early 2022.

Was from one of the Directors at Dell China Research Institute.

Breaking News- new BRN articles/research

Some may remember reading a post I put up regarding LinkedIn followers liking brainchip. One of them was high up in the Telstra Purple divison. I just came across this. https://www.itnews.com.au/news/telstra-to-drive-ai-into-every-part-of-its-business-576771

thestockexchange.com.au

• From a hardware perspective, the accelerators of Domain Specific Architectures (DSA) [12] enable the third-wave AI algorithms to operate in a hybrid ecosystem consisting of Edge, Core, and Cloud. run anywhere in the system . Specifically, accelerators for specific domain architectures include the following examples: Nvidia's GPU, Xilinx's FPGA, Google's TPU, and artificial intelligence acceleration chips such as BrainChip's Akida Neural Processer, GraphCore's Intelligent Processing Unit (IPU), Cambrian's Machine Learning Unit (MLU) and more. These types of domain-specific architecture accelerators will be integrated into more information devices, architectures, and ecosystems by requiring less training data and being able to operate at lower power when needed. In response to this trend, the area where we need to focus on development is to develop a unified heterogeneous architecture approach that enables information systems to easily integrate and configure various different types of domain-specific architecture hardware accelerators. For Dell Technologies, we can leverage Dell's vast global supply chain and sales network to attract domain-specific architecture accelerator suppliers to adhere to the standard interfaces defined by Dell to achieve a unified heterogeneous architecture .

DELL are all over brainchip makes sense too.

 

[Smoothsailing]

Thanks for sharing. This interview is the best that I have seen Sean speak. Very confident, very professional.

Yes Sean will get BRN to the front of the line 100% . The podcast needs some directors polish.



://zhuanlan-zhihu-com.translate.goog/p/475915747?_x_tr_sl=zh-CN&_x_tr_tl=en&_x_tr_hl=en&_x_tr_pto=sc

 

[Smoothsailing]

Actually it’s nowadays common to make interviews like that, this way… no one looks directly to the cam… it looks stupid to be honest… from my point of view it’s fresh and up to date!

Edit: it should give you the expression that he talks to someone

I have disagreed mate, iv been in TV my whole life that’s not how you do interviews

 

[Kachoo]

My thought is the one signing a big deal will be one that's not on top but wants to position there. They may have fallen or want to raise but they are big.

 

[Smoothsailing]

Good for you , stay on BRN mate

 

[toasty]

My thought is the one signing a big deal will be one that's not on top but wants to position there. They may have fallen or want to raise but they are big.

If that's the case then IBM??

 

[Smoothsailing]

Just forget it… I’m just surprised how all the people here know everting better… rally funny all the experts are here!

I see you struggle with English maybe it’s getting lost in translation

 

[Learning]

Whom ever made this video could at least advised Sean which camera to look at , unprofessional to say the least.

It's was the context of the conversations/ information that is important to me, I was all listening.

My eyes was busy elsewhere.

Learning

 

[Diogenese]

4:50 Mark: "You've got foundries. You've got IBM (?) ... "

Interesting that Sean referred to TeNNs as an algorithm.

Algorithms can be implemented in software at some cost to speed and energy consumption.

We know that Akida 2 was taped out but did not proceed to silicon.

The TeNNs patents were filed mid-2022, so we could have been discussing TeNNs with EAPs from then on, ~ 2 years.

Because TeNNs is such a great improvement on transformers, it could be implemented in software and still outperform transformer NNs by a mile. In fact, Akida NNs can be implemented in software. As I may have said before there is a significant advantage in implementing new tech which is in a state of flux in software, and waiting til the tech is more settled before committing to silicon.

We know Valeo uses software image interpretation in SCALA 3, and we have been working with them in a Joint Development partnership for a few years. Clearly they would have been among the first to hear about TeNNs.

Although they have switched to radio silence on Akida, Mercedes makes a great deal of noise about its software-defined vehicle. Mercedes would also have been among to first to hear about TeNNs, but they have swapped to Luminar for most of their lidar, although I forget when that takes effect. However Luminar also uses software image interpretation. There is thus a possibility that Mercedes could use TeNNs with or without Akida 2 in conjunction with any "legacy" Scala 3 or the new Luminar lidar.

In any event, we know that Valeo has $1B+ forward orders with Stellantis and Toyota, so it is possible that TeNNs/Akida 2 software will be used in these applications.

The best image temporal classification technology, TeNNs, has not yet been reduced to silicon, but it is available in software form*. BRN are busy building the NN models for TeNNs for various applications. The beauty of a software implementation during this development phase is that it can be readily updated.

Similar considerations also apply to Prophesee. In fact, all EAPs would have been consulted about TeNNs - is TeNNs the reason that Akida 1 was labeled too narrow?

*I wonder if Tony's AGM demo of TeNNs sentence building v GPT2 was software or FPGA?

 

[7für7]

I see you struggle with English maybe it’s getting lost in translation

What ever you say. But…
Don't look for the needle in the haystack. That's nitpicking... the content and the message are what matter

 

[Smoothsailing]

What ever you say. But…
Don't look for the needle in the haystack. That's nitpicking... the content and the message are what matter

Mate Iam not looking at it like that tho you may think. I have unfortunately or fortunately been around tv since my grandparents I have it in my blood. So it irks me when I see thing related to it ….that’s all.
I’ve been with BRN since before listing and assure you they have my support,
Your interpretation is yours and sometime you don’t know the full story before you start having a go at someone

 

[7für7]

Mate Iam not looking at it like that tho you may think. I have unfortunately or fortunately been around tv since my grandparents I have it in my blood. So it irks me when I see thing related to it ….that’s all.
I’ve been with BRN since before listing and assure you they have my support,
Your interpretation is yours and sometime you don’t know the full story before you start having a go at someone

Mate….I know people whose grandparents also run a business in which they specialized. That doesn't mean they ( the grandchildren) automatically know everything. The media landscape is constantly changing. Camera work, which is meant to evoke a certain drama, is also evolving. Imagine if films were still shot the same way they were in your grandparents' time… I come from this field as well, so relax… my great-great-great-grandparents were already doing theater, and my ancestors invented drama and comedy…so!?

 

[Smoothsailing]

Mate….I know people whose grandparents also run a business in which they specialized. That doesn't mean they ( the grandchildren) automatically know everything. The media landscape is constantly changing. Camera work, which is meant to evoke a certain drama, is also evolving. Imagine if films were still shot the same way they were in your grandparents' time… I come from this field as well, so relax… my great-great-great-grandparents were already doing theater, and my ancestors invented drama and comedy…so!?

What’s your problem ?
If you wish to carry in let’s do it off this forum I am not here to disrupt
Let me know how you want to continue

 

[Esq.111]

Good to see a bit of GREEN.

Might try some beef for dinner tonight ,

One can only eat so many these South Australian King George Whiting before the novelty wears off .



Esq.

 

[CHIPS]

Raquel L. Roberts, MBA on LinkedIn: #hardwarepioneersmax #hwpmax24

Edge Impulse is excited to announce our participation at Hardware Pioneers Max in London next week! Visit us at Booth C3 at the Business Design Centre…

www.linkedin.com

View attachment 63515

Soon Google Maps will give directions using BrainChip's position too .

 

[CHIPS]

How do we know Sean was going to South Korea on the way home? Did he say that?

Yes, he did. In the last investor's podcast, at the end, he mentioned his schedule of trips.

 

[Tothemoon24]

https://www.ericsson.com/en/blog/2024/4/6g-straight-from-the-ericsson-labs?utm_source=linkedin&utm_medium=social_organic&utm_campaign=TeamEricsson&utm_content=kVrDzneuSgKk

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Ultra-Low Power AI​

This concept addresses two major areas of interest - AIand Energy Efficiency - topics that might seem mutually exclusive! There is rapid growth both in interest and usage of AI in mobile network operations, solutions and applications. There’s a risk that the massive amounts of data processing demanded in many AI scenarios lead to high power consumption in parallel. With increased usage of AI expected in the networks, it is important to have solutions to address this.

This live prototype for ultra-low power AI used a novel neuromorphic-AI-based approach for radio channel estimation and showcased the feasibility of low-compute and low-energy AI using AI-based radio receiver use-cases. The trick here is that in a neuromorphic neural network (like our human brain) only the neurons detecting a change are active, whereas no computations are needed for neurons in remember state. The fraction of inactive neurons translates directly to an energy efficiency gain as compared to a traditional deep neural network where computations are always needed for all neurons. The live demo showed how neural activity in the channel estimation computations varied with changes in the radio channel and how energy consumption could be reduced when less or no computations were ongoing. Radio channel estimation is only one of many areas where this exciting AI technology can be used. Keep an eye out for upcoming blogs on this topic from Ericsson soon!

 

[TheUnfairAdvantage]

4:50 Mark: "You've got foundries. You've got IBM (?) ... "

Interesting that Sean referred to TeNNs as an algorithm.

Algorithms can be implemented in software at some cost to speed and energy consumption.

We know that Akida 2 was taped out but did not proceed to silicon.

The TeNNs patents were filed mid-2022, so we could have been discussing TeNNs with EAPs from then on, ~ 2 years.

Because TeNNs is such a great improvement on transformers, it could be implemented in software and still outperform transformer NNs by a mile. In fact, Akida NNs can be implemented in software. As I may have said before there is a significant advantage in implementing new tech which is in a state of flux in software, and waiting til the tech is more settled before committing to silicon.

We know Valeo uses software image interpretation in SCALA 3, and we have been working with them in a Joint Development partnership for a few years. Clearly they would have been among the first to hear about TeNNs.

Although they have switched to radio silence on Akida, Mercedes makes a great deal of noise about its software-defined vehicle. Mercedes would also have been among to first to hear about TeNNs, but they have swapped to Luminar for most of their lidar, although I forget when that takes effect. However Luminar also uses software image interpretation. There is thus a possibility that Mercedes could use TeNNs with or without Akida 2 in conjunction with any "legacy" Scala 3 or the new Luminar lidar.

In any event, we know that Valeo has $1B+ forward orders with Stellantis and Toyota, so it is possible that TeNNs/Akida 2 software will be used in these applications.

The best image temporal classification technology, TeNNs, has not yet been reduced to silicon, but it is available in software form*. BRN are busy building the NN models for TeNNs for various applications. The beauty of a software implementation during this development phase is that it can be readily updated.

Similar considerations also apply to Prophesee. In fact, all EAPs would have been consulted about TeNNs - is TeNNs the reason that Akida 1 was labeled too narrow?

*I wonder if Tony's AGM demo of TeNNs sentence building v GPT2 was software or FPGA?

View attachment 63536

4:50 Mark: "You've got foundries. You've got IBM (?) ... "

You’ve got IDM’s.