BRN Discussion Ongoing

[David holland]

Their potential customer base will work it out soon enough. There’s enough seed BRN customers that will have products on market in 3-7 years for the others to start playing follow the leader.

Reason BRN is at 16c is because it was being priced as a multi IP company with growing revenue. Then the market gradually realised BRN customers were not imminently getting products into the market and were 3-7 years away from decent market penetration, and re-rated BRN to being an R&D company with no commercially significant revenue to speak of.. Hence 16c

Nothing wrong with that unless management led you to believe more should be expected by now.

That's OK mate ,patience is required at times , obviously your not the patient type, infact the stirring kind of guy why don't you go back to hot crapper

 

[Fact Finder]

Yep 7 years before humans become redundant and replaced by machines.

I suspect that some will become redundant as AKIDA 6,7 & 8 roll out but at least the collective IQ over at HC will start to increase.

Cannot wait.

Until then we will just have to content ourselves with the current Science Fiction level of performance of AKIDA 1.0 and the mind boggling performance of AKIDA 2.0 with TENNS and ViT.

My opinion only DYOR
Fact Finder

 

[AARONASX]

Do we really have to wait that long? Do you know how old I am already?

We will not have to wait that long for Akida 1.0/2.0 to be seen in the wild, what Peter envisions is the GI equal to a human at level 10.0.

As of today 2.0 is the Ape! somewhat intelligent but needs a lot of training, 10.0 should train itself (i hope)...I don't think us humans are ready for completely GI AI at moment..IMO

 

[Fact Finder]

Their potential customer base will work it out soon enough. There’s enough seed BRN customers that will have products on market in 3-7 years for the others to start playing follow the leader.

Reason BRN is at 16c is because it was being priced as a multi IP company with growing revenue. Then the market gradually realised BRN customers were not imminently getting products into the market and were 3-7 years away from decent market penetration, and re-rated BRN to being an R&D company with no commercially significant revenue to speak of.. Hence 16c

Nothing wrong with that unless management led you to believe more should be expected by now.

It must be difficult to run this narrative when even on HC posters such as Tom & Jerry and Dead Rise disagree with your deliberate misconstruing of what was said by Rob Telson.

It is plain to them 3 to 7 years relates to the introduction of artificial general intelligence.

But that is the mark of the true antagonist never let the facts stop one from taking a contrary position in fact it causes maximum annoyance.

Congratulations well done.

My opinion only DYOR
(& fabrication)
Fact Finder

 

[Okeydokey01]

CES ONSEMi demo video

Along with further insight into the approach to market and general overview.

 

[AI_Inquirer]

just posted on twitter


BrainChip's "All Things AI” podcast
@nayampally_n
sits with Yann Le Faou, Director of Touch MCU products and Machine Learning at Microchip Technology.

Key points:

- The purpose of the demo was to prove both the hardware and software are ready to go right now, even in 8-bit. Costumers don’t need to develop those aspects; they just need to choose the specific application they want to apply AI to.

- In September 2023, Microchip introduced a complementary ML modelling tool, aiming to simplify the adoption and streamline the process for end customers. There was mention of customers setting deadlines to launch products by the year 2025.

Given that the Microchip ML tool was only released three months ago, any customer or IP deal arising from this partnership may not surface for a fair while yet.

Sounded promising, and the Microchip presenter noted a significant level of interest in the ML tool. Presuming we aren't exclusively partnered to provide the IP, but even a slice of Microchip's extensive customer base or a few big ones would be enough.

 

[Damo4]

CES ONSEMi demo video

Along with further insight into the approach to market and general overview.

Great to see the demo, and especially to hear about the airbag deployment theories.

Weird bloke interviewing Todd though lol

 

[Worker122]

Nice post from ipXchange. (LinkedIn)

Brain-like hardware accelerator provides power-efficient AI inferencing by ignoring irrelevant data!

In ipXchange’s next AI-focussed interview from CES 2024, Guy chats with Todd Vierra about BrainChip ’s Essential AI computation architecture.

Where many ‘AI’ chips are simply a matrix multiplication engine – essentially just doing quick maths rather than truly intelligent thought – Brainchip’s solution attempts to replicate the way the human brain operates. By recognising important data – from a sensor, for example – and ignoring irrelevant data, Brainchip’s solution operates with much less memory and less computing power for higher efficiency than mathematical solutions that process the complete dataset.

Todd then shows us an example application with a Time-of-Flight (ToF) sensor performing distance and depth measurements to recognise users in a way that is much harder to trick than a 2D AI imaging system. In this example, Brainchip’s solution takes the data from the sensor – i.e. Nolan and Guy’s faces – and classifies them after quickly training the model to recognise the subtle differences of their features. This is done with respect to their shoulders for even greater certainty of user identity. This type of setup might be used in industrial and in-cabin automotive applications for user verification, safety – such as for user-specific airbag deployment – and security.

Brainchip’s solution works as a neuromorphic – i.e. brain-like – AI hardware accelerator in conjunction with a host processor. Brainchip also provides the software and IP solutions to put this architecture into fully integrated chipsets, but with development systems preloaded with standard demo use cases, design engineers can easily get started using this technology for low-power edge inferencing.

Learn about Brainchip’s Akida AKD1000 SoC by heading to the ipXchange website, where you can apply to evaluate this technology for use in a commercial project: https://lnkd.in/eFRn2nnf

 

[Taproot]

Great to see the demo, and especially to hear about the airbag deployment theories.

Weird bloke interviewing Todd though lol

VVDN / BrainChip Edge box uses an NXP Processor.
VVDN + NXP have been long time partners.
Qualcomm tried to take over NXP a few years back.

 

[wilzy123]

7 years before humans become redundant

I think what you meant to say was "before all humans", as some are likely already.

 

[IiTrader]

Has Brinchip ever sold any "Akida AKD1000 AI Hardware" since it launch?

 

[Sotherbys01]

Nandan Nayampally, CMO at BrainChip and Yann Le Faou, Director of Touch MCU products and Machine Learning at Microchip Technology.

Discussion focused on the:

• widespread adoption of AI at CES and its essential role in corporate strategies.
• market's progression from initial AI adoption to more widespread exploration and implementation.
• shift from conceptual AI applications to their actual operational use.
• challenges of simplifying AI access and usage, highlighting the role of developmental platforms.
• need for cost-effective AI implementation, particularly in consumer electronics, to facilitate broader adoption.

So glad to see the table cloth ironed and with our name on it.........

 

[TECH]

CES ONSEMi demo video

Along with further insight into the approach to market and general overview.

Todd was pretty much on top of the questions being fired at him, but "we have just launched our VVDN Edge Box and Unigen Box ??

Did I hear that correctly ?

 

[Damo4]

Todd was pretty much on top of the questions being fired at him, but "we have just launched our VVDN Edge Box and Unigen Box ??

Did I hear that correctly ?

Yeah boi: https://unigen.com/unigen-corporation-launches-cupcake-an-edge-ai-computing-solution/

 

[SERA2g]

Open Neuromorphic Case Study Using Akida

32 mins…. :-(

I would take that with a grain of salt. "Might not be" coming from a university professor who oversees university projects funded by Intel.

The entire Open Neuromorphic community are super pro Loihi because it's Intel and are always on the look out for positions or funding from the big companies. The founder recently joined Qualcomm for example.

Keep listening past your cherry picked 32 minute section through to around the 40 minute mark. Glowing comments around akida, the ease of use, quick set up to convert CNN to SNN using MetaTF, boiler plate using edge impulse and the exceptional results.

There's a section in there where he mentioned they came second place in the hackathon and the part that the judges particularly liked was the fact they presented a $3,500 option as well as a $100 option. They go on to agree akida can be implemented at a significantly reduced price point to other technologies.

They also say results on Akida are "orders of magnitude better" when comparing to CPU platforms and there's also a question from one of the listeners around the fact akida is digital so (paraphrasing heavily here) is there any point in having asynchronous chips or analog anymore. I couldn't fully understand the discussion potentially due to a technical gap in my knowledge but also their English. Seemed to me they were discussing whether akida would make some chips redundant (why bother with them type attitude when akida is digital and power consumption results are so exceptional).

The presenter also mentions they didn't have accuracy improvements on existing technology but they also didn't spend time adjusting the code and the dataset so putting accuracy aside the power consumption results are very strong arguments for akida technology.

Strongly recommend people give this video a listen as it is a good indication of feedback from someone in the wild implementing akida and then discussing their findings.

FWIW I'm only about 40 minutes in so there could be more good or bad feedback I have not yet heard.

 

[DK6161]

CES ONSEMi demo video

Along with further insight into the approach to market and general overview.

Might be better to get someone who can explain the technology in a lot simpler ways and more enthusiastic to be at our next demo.
No offence, but this was hard to watch.

 

[DK6161]

Our SP continues to fall. Not a good start to the year. Feel like writing off 2024. Come on BRN improve your sales team and give us something to be proud off!

 

[Rskiff]

Might be better to get someone who can explain the technology in a lot simpler ways and more enthusiastic to be at our next demo.
No offence, but this was hard to watch.

Really, I found it very easy to follow. Perhaps this stock isn't for you.

 

[Euks]

Don’t mind me I’m just over here having smoko and daydreaming

Top 5 Partners MC (US dollars)

Intel - 205 Billion
Arm - 79 Billion
Mercedes Benz - 69 Billion
Microchip - 49 Billion
OnSemi- 32 Billion

Total - almost half a trillion green backs , well 434 Billion…..

Brainchip - 207 Million

1% of our top 5 partners combined - 4.34 billion US dollars.

Geez it would be nice if we were worth just 1% of our combined top 5 partners MC one day…..

Imagine if neuromorphic processors such as Akida were viewed as the future of processing at the edge…

If that eventuates would it be greedy to hope for 5%

Anyways back to work.

Euks

 

[Fact Finder]

Really, I found it very easy to follow. Perhaps this stock isn't for you.

Hi Rskiff
That is the real problem isn’t it.

Those who do not have a clue that they are not the target audience of a presentation being given by a techie to a techie at a trade show where they are selling to highly educated employees of OEM’s just don’t get it.

Todd Vierra had a long successful career at ARM selling ARM IP to this same target audience.

The problem is he never once demonstrated the magic vegetable peeler at the Royal Easter Show to an enthralled crowd of retail customers.

On top of which he does not speak fast enough or with an East Ender Cockney accent to get that gig so he had to go with a sales area that matched his University degree and area of technical interest.

After all these years and hundreds of hours of research l also understood what AKIDA can do with OnSemi’s TOF sensor and why you would choose it just like OnSemi for intelligent airbag deployment.

My opinion only DYOR
Fact Finder