BRN Discussion Ongoing

[Evermont]

A lot to digest today. This one caught the eye.

 

[Rise from the ashes]

Only if you see it as a problem? I don't, just knowing the future is what I'm best at

Money, money, money.

Once it flows for the company, it'll flow for all it's shareholders, simple basic maths.

Once the kraken gets released we are going to have a huge re-rate. Then most of us long-term holders won't complain about a few cents here or there. I look forward to the days when it drops 50 cents and we just giggle about it

 

[TheDrooben]

Only if you see it as a problem? I don't, just knowing the future is what I'm best at

Money, money, money.

Once it flows for the company, it'll flow for all it's shareholders, simple basic maths.

I agree. Just don't know what you are trying to imply about my post regarding the SP gap. If you are trying to imply that I am posting it for my own personal gain then you are dead wrong. I have been buying when I can since 2020 and have never sold a single share.
The point in my post was that when TA traders and shorters see that gap they will use it as a reason to push it to that price. Without further news it is a good possibility.

Larry

 

[Fact Finder]

Anyone who has not read the Forbes article make time. It confirms that AKIDA ESP offers 1,2,4&8 bit activations and much much more.

The last two paragraphs inspired me to break my golden rule and buy more BRN:

“Brainchip’s bio-inspired Akida platform is certainly an unusual way to tackle AI/ML applications. While most other NPU vendors are figuring out how many MACs they can fit – and power – on the head of a pin, Brainchip is taking an alternative approach that’s been proven by Mother Nature to work over many tens of millions of years.

In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell.”

My mistake and opinion only so DYOR
FF

AKIDA BALLISTA

PS: Just love the “head of a pin comment” wish I had said it.

Anyone for some performance figures from the same Forbes article:


"Brainchip offers three Akida IP variants: E, S, and P:

E. The Max Efficiency variant (Akida-E) provides as many as four nodes (or 16 NPUs), runs as fast as 200MHz, delivers the equivalent of 200 GOPS (giga-operations per second) of performance, and needs only milliwatts of power for operation. The company says that this smaller variant is designed for running simpler AI/ML networks and is intended for use in continuously operating equipment where power consumption is at a premium.

S. The Sensor Balanced variant (Akida-S) can be configured with as many as eight nodes (32 NPUs), runs as fast as 500MHz, and delivers the equivalent of 1 TOPS (trillion operations per second) of performance, which is capable of running object detection and classification workloads.

P. The Performance variant (Akida-P) accommodates as many as 128 nodes (512 NPUs), operates as fast as 1.5GHz, and delivers the equivalent of 50 TOPS. The most capable version of the Performance variant includes optional hardware support for vision transformer networks that take the form of additional nodes in the internal Akida mesh network.

The high-end variant can run the full gamut of AI/ML models in Brainchip’s model zoo to perform tasks including classification, detection, segmentation, and prediction. Together, these Akida variants allow a design team to use one AI/ML architecture that scales from low-power configurations that consume mere microwatts of power to high-performance configurations that deliver dozens of TOPS, and according to BrainChip, can perform HD video object detection at 30 frames per second while consuming less than 75 milliwatts, which could result in very compelling portable vision solutions."

Talk about a versatile solution package.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Diogenese]

Anyone for some performance figures from the same Forbes article:


"Brainchip offers three Akida IP variants: E, S, and P:

E. The Max Efficiency variant (Akida-E) provides as many as four nodes (or 16 NPUs), runs as fast as 200MHz, delivers the equivalent of 200 GOPS (giga-operations per second) of performance, and needs only milliwatts of power for operation. The company says that this smaller variant is designed for running simpler AI/ML networks and is intended for use in continuously operating equipment where power consumption is at a premium.

S. The Sensor Balanced variant (Akida-S) can be configured with as many as eight nodes (32 NPUs), runs as fast as 500MHz, and delivers the equivalent of 1 TOPS (trillion operations per second) of performance, which is capable of running object detection and classification workloads.

P. The Performance variant (Akida-P) accommodates as many as 128 nodes (512 NPUs), operates as fast as 1.5GHz, and delivers the equivalent of 50 TOPS. The most capable version of the Performance variant includes optional hardware support for vision transformer networks that take the form of additional nodes in the internal Akida mesh network.

The high-end variant can run the full gamut of AI/ML models in Brainchip’s model zoo to perform tasks including classification, detection, segmentation, and prediction. Together, these Akida variants allow a design team to use one AI/ML architecture that scales from low-power configurations that consume mere microwatts of power to high-performance configurations that deliver dozens of TOPS, and according to BrainChip, can perform HD video object detection at 30 frames per second while consuming less than 75 milliwatts, which could result in very compelling portable vision solutions."

Talk about a versatile solution package.

My opinion only DYOR
FF

AKIDA BALLISTA

Just imagine being one of the students at the chosen universities - getting hands-on experience with the future of AI ... and it won't do their employment prospects much harm either.

 

[Bravo]

SiFive has design wins with more than 100 customers, including 8 of the top 10 semiconductor companies, in applications including automotive, AR/VR, client computing, datacenter, and the intelligent edge.

So, I guess this means many of their customers will become ours in due course.

Oh, and speaking of Si-FIve customers, here's what Ziad Asghar, VP of Product Management for Snapdragon Technology and Roadmap at Qualcomm said in a statement in November 2022.

Baring in mind that Prophesee loves us and would no doubt be pushing for our inclusion in to Snapdragon platforms. And SiFive loves us too as can be attested in the latest statement from Phil Dworsky (Global Head of Strategic Alliances at SiFive).

So, come on Qualcomm, just go with the flow, because resistance is literally futile.

Compact RISC-V Cores Bring the Power to Wearables, Consumer Devices

With its latest 64-bit RISC-V CPU cores, the P670 and P470, SiFive is putting the focus on compute density.

www.electronicdesign.com

 

[perceptron]

Totally agree. All bases covered. Mind is racing thinking about the possibilities that will be created. Would be great to see videos of the new platform in action ie: the always on function, through to the most suitable applications for AKIDA-P and it's 512 NPU's.

Anyone for some performance figures from the same Forbes article:


"Brainchip offers three Akida IP variants: E, S, and P:

E. The Max Efficiency variant (Akida-E) provides as many as four nodes (or 16 NPUs), runs as fast as 200MHz, delivers the equivalent of 200 GOPS (giga-operations per second) of performance, and needs only milliwatts of power for operation. The company says that this smaller variant is designed for running simpler AI/ML networks and is intended for use in continuously operating equipment where power consumption is at a premium.

S. The Sensor Balanced variant (Akida-S) can be configured with as many as eight nodes (32 NPUs), runs as fast as 500MHz, and delivers the equivalent of 1 TOPS (trillion operations per second) of performance, which is capable of running object detection and classification workloads.

P. The Performance variant (Akida-P) accommodates as many as 128 nodes (512 NPUs), operates as fast as 1.5GHz, and delivers the equivalent of 50 TOPS. The most capable version of the Performance variant includes optional hardware support for vision transformer networks that take the form of additional nodes in the internal Akida mesh network.

The high-end variant can run the full gamut of AI/ML models in Brainchip’s model zoo to perform tasks including classification, detection, segmentation, and prediction. Together, these Akida variants allow a design team to use one AI/ML architecture that scales from low-power configurations that consume mere microwatts of power to high-performance configurations that deliver dozens of TOPS, and according to BrainChip, can perform HD video object detection at 30 frames per second while consuming less than 75 milliwatts, which could result in very compelling portable vision solutions."

Talk about a versatile solution package.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Gman]

Just doubled my holdings - couldn’t resist on a day like this after such overwhelming good news.

 

[equanimous]

Anyone for some performance figures from the same Forbes article:


"Brainchip offers three Akida IP variants: E, S, and P:

E. The Max Efficiency variant (Akida-E) provides as many as four nodes (or 16 NPUs), runs as fast as 200MHz, delivers the equivalent of 200 GOPS (giga-operations per second) of performance, and needs only milliwatts of power for operation. The company says that this smaller variant is designed for running simpler AI/ML networks and is intended for use in continuously operating equipment where power consumption is at a premium.

S. The Sensor Balanced variant (Akida-S) can be configured with as many as eight nodes (32 NPUs), runs as fast as 500MHz, and delivers the equivalent of 1 TOPS (trillion operations per second) of performance, which is capable of running object detection and classification workloads.

P. The Performance variant (Akida-P) accommodates as many as 128 nodes (512 NPUs), operates as fast as 1.5GHz, and delivers the equivalent of 50 TOPS. The most capable version of the Performance variant includes optional hardware support for vision transformer networks that take the form of additional nodes in the internal Akida mesh network.

The high-end variant can run the full gamut of AI/ML models in Brainchip’s model zoo to perform tasks including classification, detection, segmentation, and prediction. Together, these Akida variants allow a design team to use one AI/ML architecture that scales from low-power configurations that consume mere microwatts of power to high-performance configurations that deliver dozens of TOPS, and according to BrainChip, can perform HD video object detection at 30 frames per second while consuming less than 75 milliwatts, which could result in very compelling portable vision solutions."

Talk about a versatile solution package.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF,

My initial thoughts is that all three could incorporated together and optimized for robotics and cars with each variant tailored to Audio, Visual and
kinesthetic.

 

[BaconLover]

The most exciting thing right now is AI

 

[Doz]

Come on patent ,,,,,,,,

 

[Bravo]

Oh, and speaking of Si-FIve customers, here's what Ziad Asghar, VP of Product Management for Snapdragon Technology and Roadmap at Qualcomm said in a statement in November 2022.

View attachment 31426



Baring in mind that Prophesee loves us and would no doubt be pushing for our inclusion in to Snapdragon platforms. And SiFive loves us too as can be attested in the latest statement from Phil Dworsky (Global Head of Strategic Alliances at SiFive).

So, come on Qualcomm, just go with the flow, because resistance is literally futile.

View attachment 31425

Compact RISC-V Cores Bring the Power to Wearables, Consumer Devices

With its latest 64-bit RISC-V CPU cores, the P670 and P470, SiFive is putting the focus on compute density.

www.electronicdesign.com

And then of course there's this...

 

[Bravo]

And then of course there's this...


View attachment 31431

And this...

 

[Bravo]

And this...

 

[jk6199]

This price manipulation after yesterday's great news and confirmation of the chips!

I really liked the firm language of the comments, no pussying around, to the point and confident.

I can't believe the chance is still here to buy more at these prices when some big names have endorsed BRN. I might have to sleep in the dog house a bit longer, but I won't forgive myself if I don't buy more shares.

Yes, I'm still an Akidaholic!

 

[TheFunkMachine]

I think this is the reason why Brainchip is pushing for a different way to benchmark Edge AI processors as TOPS has been weighted to much in terms of power and capability. Akida’s top end is 50 TOPs yet according to Nviso Akida outperformed Nvidia in every way.

So if Akida with much less TOPS then Nvidia processors can outperform them, then benchmarking has to change to ensure true value gets highlighted.

Sorry if I misunderstand this as I am not a super technical guy.

 

[Fact Finder]

Come on patent ,,,,,,,,



View attachment 31427 View attachment 31430

I am pleased to see Kristopher Carlson’s name along side those of Peter van der Made and Anil Mankar he has been an incredibly loyal lieutenant.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Learning]

This is news to me.

Wow...

Markets

Learn about the capabilities of Akida technology and see if it is right for you!

brainchip.com

Learning 🏖

 

[Cardpro]

We need to get off the ASX ASAP. This why we have extremely low US investors. Today we had 150,000 shares traded, average is 40,000 or less. We will not get the US investor until we are listed on NASDAQ.

If we list on US now we will get eaten alive, we need to built strong ship (strong partnerships & revenue sources) before we sail to NASDAQ IMO

 

[Bravo]

Uuuuuuhhhhrrrrmmm...What!!!!!

I'm warming up my chakras and giving myself a migraine trying to will our incorporation in this one into existence.

The patent hasn't been issued as yet or at least not that I can access. This will be one for dear Dodgy Knees to follow up on @Diogense.

https://www.benzinga.com/news/23/03/31198161/soundhound-will-be-issued-u-s-patent-number-11-600-284-on-tuesday-march-7-titled-voice-morphing-appa