BRN Discussion Ongoing

[chapman89]

I think 2024 for production for Mercedes, but in saying that, we have a lot to look forward to before then, we’ve got renesas rolling out products with akida in it this year, by 2024 MegaChip will have products out, we will most likely have products/contracts through SiFive, & it’s my opinion that in the future we will see more partnerships like MegaChip, SiFive who will do a lot of the selling for Brainchip, and most likely a smart health contract as we know the work nanose and Biotome are doing.
So the question some must ask themselves is, do you want to be in early or wait to buy at much higher prices, I know what I choose.

The company is basically giving us a message, a message that says “don’t miss the bus”
The evidence is there, we’ve got the contracts, the partnerships, the right team.
If you have done your research on the semiconductor industry, the growth it is projected to grow at, and IMO it’s bigger than what is predicted based on AKD2000 and onwards, if you’ve done your research on Brainchip, and then if you’ve seen the most recent video of Mercedes’ Benz Ad for the Vision EQXX and the comment in the video that states
“ Neuromorphic Computing, five times more intelligent than current voice AI”

Now hold on, where have I read/heard that before?? Let me think….
This is from the official Mercedes’ Benz website released back in January-

“Neuromorphic computing – a car that thinks like you

Another key efficiency feature of the VISION EQXX that takes its cue from nature is the way it thinks. It uses an innovative form of information processing called neuromorphic computing. The hardware runs spiking neural networks. Information is coded in discrete spikes and energy is only consumed when a spike occurs, which reduces energy consumption by orders of magnitude.Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software. The example in the VISION EQXX is the "Hey Mercedes" key-word detection. Structured along neuromorphic principles, IT IS FIVE to TEN TIMES MORE EFFICIENT THAN CONVENTIONAL VOICE CONTROL”

Now does anybody else need more evidence to solidify there investment in Brainchip?

There is a volcano brewing and when this baby is about to erupt, look out!

 

[Fact Finder]

Bingo

How does RISC-V fit into automotive systems?

RISC-V is being used in a surprising range of automotive systems ranging from ASIL-D safety rated controllers and security co-processors, artificial

www.microcontrollertips.com

This 5nm run by TSMC for SiFive last year fits with the out of the blue statement by the Acting CEO Peter van der Made that they could go to 5nm if needed. Up to that point he and Anil Mankar and the former CEO Mr. Dinardo had spoken about 4nm as possible but why this one off 5nm???

The SiFive run was a trial to produce engineering samples for their boards. If you run the timeline we know these sort of things take then coming out with the press release about Brainchip and SiFive partnering up kinda fits.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

Si Five- i just checked there website , there looks like they have about 120+ open jobs.... thats anywhere $10M to $15M payroll they are looking to add , and about 25% growth to workforce?

IE- they are growing rapidly - and we are in bed with them.

Love it.


View attachment 3867

One of the articles posted yesterday stated they were adding staff like they were going out of fashion funded by the capital raise of $125 million and the sale of the design business for $210 million so they could mount a proper challenge to ARM. The number 700 stands out but whether it was adding 700 hundred or increasing to 700 I cannot now say.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Violin1]

Good idea, I did the same today

You know all those one and two share sales going through? I promise myself I'll buy in large lots but when I find a dollar I just can't hold myself back.....

 

[Slade]

I think 2024 for production for Mercedes, but in saying that, we have a lot to look forward to before then, we’ve got renesas rolling out products with akida in it this year, by 2024 MegaChip will have products out, we will most likely have products/contracts through SiFive, & it’s my opinion that in the future we will see more partnerships like MegaChip, SiFive who will do a lot of the selling for Brainchip, and most likely a smart health contract as we know the work nanose and Biotome are doing.
So the question some must ask themselves is, do you want to be in early or wait to buy at much higher prices, I know what I choose.

The company is basically giving us a message, a message that says “don’t miss the bus”
The evidence is there, we’ve got the contracts, the partnerships, the right team.
If you have done your research on the semiconductor industry, the growth it is projected to grow at, and IMO it’s bigger than what is predicted based on AKD2000 and onwards, if you’ve done your research on Brainchip, and then if you’ve seen the most recent video of Mercedes’ Benz Ad for the Vision EQXX and the comment in the video that states
“ Neuromorphic Computing, five times more intelligent than current voice AI”

Now hold on, where have I read/heard that before?? Let me think….
This is from the official Mercedes’ Benz website released back in January-

“Neuromorphic computing – a car that thinks like you

Another key efficiency feature of the VISION EQXX that takes its cue from nature is the way it thinks. It uses an innovative form of information processing called neuromorphic computing. The hardware runs spiking neural networks. Information is coded in discrete spikes and energy is only consumed when a spike occurs, which reduces energy consumption by orders of magnitude.Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip's Akida hardware and software. The example in the VISION EQXX is the "Hey Mercedes" key-word detection. Structured along neuromorphic principles, IT IS FIVE to TEN TIMES MORE EFFICIENT THAN CONVENTIONAL VOICE CONTROL”

Now does anybody else need more evidence to solidify there investment in Brainchip?

There is a volcano brewing and when this baby is about to erupt, look out!

Great post Jesse. I hope everyone on here is on the bus or are getting on the bus very soon because when she goes there will be no coming back!

 

[Shadow59]

You know all those one and two share sales going through? I promise myself I'll buy in large lots but when I find a dollar I just can't hold myself back.....

I got caught in the same trap. There was a special edition one go up for sale at 1.34pm I just had to have!

 

[Boab]

One of the articles posted yesterday stated they were adding staff like they were going out of fashion funded by the capital raise of $125 million and the sale of the design business for $210 million so they could mount a proper challenge to ARM. The number 700 stands out but whether it was adding 700 hundred or increasing to 700 I cannot now say.

My opinion only DYOR
FF

AKIDA BALLISTA

They plan on doubling the 700 figure.

SiFive speeds up computing chip designs as it staffs up

Chip technology firm SiFive Inc on Thursday said it has sped up its computing core designs by 40% and now has a headcount of 700 employees, with plans to double its staff by next year.

www.reuters.com

 

[Fact Finder]

They plan on doubling the 700 figure.

SiFive speeds up computing chip designs as it staffs up

Chip technology firm SiFive Inc on Thursday said it has sped up its computing core designs by 40% and now has a headcount of 700 employees, with plans to double its staff by next year.

www.reuters.com

Thanks Boab. I reached the limit of my memory over the last two days. LOL. FF

 

[alwaysgreen]

Lol.

What a joke the crapper is

The Crapper is such a joke. My post was moderated in 30 seconds.

 

[ndefries]

l see more partnerships like

Lol.

What a joke the crapper is

View attachment 3875
The Crapper is such a joke. My post was moderated in 30 seconds.

Baiting - yet its fine to say to investors that a company is going to Zero based on nothing. How fortunate I dont have to listen to idiots.

 

[Fact Finder]

There is nothing to be gained by engaging with the back end of a donkey unless you are a vet and even then you need to be dressed for the occasion in gum boots, rubber and latex and have a hose handy to clean yourself up afterwards.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Shadow59]

Lol.

What a joke the crapper is

View attachment 3875
The Crapper is such a joke. My post was moderated in 30 seconds.

LOL... Just had a look over the fence.( Grass definitely not greener there) Just 34 posts today at the moment! Remember when BRN used to be by far the biggest forum on HC like hundreds of posts!

 

[Techinvestor17]

Lol.

What a joke the crapper is

View attachment 3875
The Crapper is such a joke. My post was moderated in 30 seconds.

Not even sure why you waste your time

 

[Fact Finder]

As a reward for our good behaviour I have just brought over from the NASA thread the following extracts from an SBIR software contract which Rocket had linked and challenged me to highlight anything of interest. Well the following is my take on what was interesting about this SBIR.

It is in my opinion pretty amazing stuff when you consider they mention Loihi and True North in the full knowledge that they cannot meet the specified requirements under COTS and SWaP. (PS: Somewhere I read something about Brainchip and open sourced hardware recently.) The link to the full document is at the end.
My opinion only DYOR
FF

AKIDA BALLISTA

DESCRIPTION: Conventional computing architectures are running up against a quantum limit in terms of transistor size and efficiency, sometimes referred to as the end of Moore’s Law. To regain our competitive edge, we need to find a way around this limit. This is especially relevant for small size, weight, and power (SWaP)-constrained platforms. For these systems, scaling Von Neumann computing becomes prohibitively expensive in terms of power and/or SWaP.Biologically inspired neural networks provide the basis for modern signal processing and classification algorithms.

Implementation of these algorithms on conventional computing hardware requires significant compromises in efficiency and latency due to fundamental design differences. A new class of hardware is emerging that more closely resembles the biological neuron model, also known as a spiking neuron model; mathematically describing the systems found in nature and may solve some of these limitations and bottlenecks. Recent work has demonstrated performance gains using these new hardware architectures and have shown equivalence to converge on a solution with the same accuracy [Ref 1].The most promising of the new class are based on Spiking Neural Networks (SNN) and analog Processing in Memory (PiM) where information is spatially and temporally encoded onto the network. It can be shown that a simple spiking network can reproduce the complex behavior found in the neural cortex with significant reduction in complexity and power requirements [Ref 2]……

“It is recommended to use open source languages, software, and hardware when possible.”…

PHASE III: Refine algorithms and test with hardware. Validate models with data provided by Naval Air Warfare Center (NAWC) Aircraft Division (AD)/Weapons Division (WD). Transition model to the warfare centers. Development of documentation, training manuals, and software maintenance may be required.Heavy commercial investments in machine learning and artificial intelligence will likely continue for the foreseeable future. Adoption of hardware that can deliver on orders of magnitude in SWaP performance for intelligent mobile machine applications is estimated to be worth 10^9-10^12 global dollars annually.) Provide the software tools needed to optimize the algorithms and hardware integration. This effort would be a significant contribution to this requirement. Industries that would benefit from successful technology development include automotive (self-driving vehicles), personal robots, and a variety of intelligent sensors.

KEYWORDS: Spiking Neural Network, Neuromorphic Computing, Modeling, Convolution Neural Network, Analog Memory, Processing in Memory

https://www.sbir.gov/node/1696107

 

[Slade]

This presentation is from a SiFive field engineer at the Semisrael tech webinar two days ago. The presentation is about SiFive's RISC-V, which we know BrainChip will be a part of. This video is for the tech heads, or those whose favourite movie is Zulu. I myself wasn't able to get much from it. The presenter looks like he would be about as much fun at a party as my father in law.

 

[Fact Finder]

This presentation is from a SiFive field engineer at the Semisrael tech webinar two days ago. The presentation is about SiFive's RISC-V, which we know BrainChip will be a part of. This video is for the tech heads, or those whose favourite movie is Zulu. I myself wasn't able to get much from it. The presenter looks like he would be about as much fun at a party as my father in law.

Sorry just tried I need Michael Caine to read for his part. Leave it for someone else.

FF.

 

[thelittleshort]

Sorry just tried I need Michael Caine to read for his part. Leave it for someone else.

FF.

 

[Fact Finder]

As a reward for our good behaviour I have just brought over from the NASA thread the following extracts from an SBIR software contract which Rocket had linked and challenged me to highlight anything of interest. Well the following is my take on what was interesting about this SBIR.

It is in my opinion pretty amazing stuff when you consider they mention Loihi and True North in the full knowledge that they cannot meet the specified requirements under COTS and SWaP. (PS: Somewhere I read something about Brainchip and open sourced hardware recently.) The link to the full document is at the end.
My opinion only DYOR
FF

AKIDA BALLISTA

DESCRIPTION: Conventional computing architectures are running up against a quantum limit in terms of transistor size and efficiency, sometimes referred to as the end of Moore’s Law. To regain our competitive edge, we need to find a way around this limit. This is especially relevant for small size, weight, and power (SWaP)-constrained platforms. For these systems, scaling Von Neumann computing becomes prohibitively expensive in terms of power and/or SWaP.Biologically inspired neural networks provide the basis for modern signal processing and classification algorithms.

Implementation of these algorithms on conventional computing hardware requires significant compromises in efficiency and latency due to fundamental design differences. A new class of hardware is emerging that more closely resembles the biological neuron model, also known as a spiking neuron model; mathematically describing the systems found in nature and may solve some of these limitations and bottlenecks. Recent work has demonstrated performance gains using these new hardware architectures and have shown equivalence to converge on a solution with the same accuracy [Ref 1].The most promising of the new class are based on Spiking Neural Networks (SNN) and analog Processing in Memory (PiM) where information is spatially and temporally encoded onto the network. It can be shown that a simple spiking network can reproduce the complex behavior found in the neural cortex with significant reduction in complexity and power requirements [Ref 2]……

“It is recommended to use open source languages, software, and hardware when possible.”…

PHASE III: Refine algorithms and test with hardware. Validate models with data provided by Naval Air Warfare Center (NAWC) Aircraft Division (AD)/Weapons Division (WD). Transition model to the warfare centers. Development of documentation, training manuals, and software maintenance may be required.Heavy commercial investments in machine learning and artificial intelligence will likely continue for the foreseeable future. Adoption of hardware that can deliver on orders of magnitude in SWaP performance for intelligent mobile machine applications is estimated to be worth 10^9-10^12 global dollars annually.) Provide the software tools needed to optimize the algorithms and hardware integration. This effort would be a significant contribution to this requirement. Industries that would benefit from successful technology development include automotive (self-driving vehicles), personal robots, and a variety of intelligent sensors.

KEYWORDS: Spiking Neural Network, Neuromorphic Computing, Modeling, Convolution Neural Network, Analog Memory, Processing in Memory

https://www.sbir.gov/node/1696107

I might have been a bit vague with why this is exciting to me.

Yesterday in one of the articles announcing the Brainchip SiFive partnering there was a three questions section and Kang answering on behalf of SiFive
stated that Brainchip was bringing hardened Ai IP to their platform.

NASA was paying to harden AKIDA.

SiFive’s platform is open sourced hardware and with Brainchip’s assistance it will offer a hardened SCNN integrated.

What other opened sourced hardware product of this type that is COTS and SWaP ready is there in the World particularly if you exclude from consideration all those countries that would not meet NASA/DARPA national security requirements.

Also I am excited about how much NASA thinks this will be worth commercially. I know I am shallow being excited about the huge financial rewards.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Build-it]

I believe Akida is still at the “far-edge”, to use a term coined by Rob Telson (I believe). Where the actual inputs are processed to differenciate the important stuff from the noise. And where micro- and milli-watts are consumed

The term “edge” has unfortunately seemed to shift a fair way away from the far-edge. It now encompasses not only the entire smart sensor but actuators to respond to sensor, mechanisms to perform an activity, and mechanisms to provide feedback up the chain - ultimately to a human operator . i.e. the entire system. Power consumption will still be important, but I dare say it might be slipping up into partial watts.

Maybe this edge is more the point from which the human operator no longer needs to care about what goes on under the bonnet. This definition of an edge could be applied to physical objects such as cameras, car dash boards and the like.

The SiFive—BrainChip partnership seems to be creating something that will satisfy this edge, and that’s Ok by me because that is an easy edge to market and for the world to relate to. The world loves a system that does something tangeable. I think the general consumer market struggles to recognise the advantages of a spiking neural network. So let’s stop confusing them.

A Polish colleague of mine, who learnt English as a second language and hence was VERY specific with grammar, would have said this edge is not “the edge” but rather is just “an edge”. There are many interfaces that can be called “an edge” and even “another edge” but there is only one that can be called “the edge”.

“The edge” is, in all reality, the “far-edge”! The point where the stimuli and initial responses exist!

To quote Brainchip,

We are pleased to partner with SiFive and have the opportunity to have our Akida technology integrated with their market-leading product offerings, creating an efficient combination for edge compute”

IMO an Edge device that can run on as little as 4 x AAA batteries that can travel to all corners of the globe and not require data is my best version. Particularly as a medical device.

Ofcourse this is not our only offering but one that is true beneficial AI at the edge.

As Stable posted a while back
Nanonose expected to report May 30

BrainChip, NaNose demo COVID-19 detection via breath test | Edge Industry Review

BrainChip Holdings announced progress in testing with the NaNose (Nano Artificial Nose) where patients’ exhaled breath samples were tested for COVID-19.

www.edgeir.com

Edge Compute

 

[Slade]

Sorry just tried I need Michael Caine to read for his part. Leave it for someone else.

FF.

I am watching Zulu in stages. Five sittings so far and I am up to the riveting scene below. Does it get any better than this!

I mean, does this get any better?