BRN Discussion Ongoing

[Fact Finder]

@Fact Finder

Arm and IBM unfortunately

https://mdpi-res.com/d_attachment/futureinternet/futureinternet-13-00219/article_deploy/futureinternet-13-00219-v2.pdf

Hi Rocket
These researchers are using software as they do not know about AKD1000 as the following extract makes clear:

“2.3. Spiking Neural Networks
This paper proposes to study a Spiking Neural Network Model to solve the SHM supervised anomaly detection problem directly on the sensor’s node MCU. The SNN model is a brain-inspired (so-called third-generation) type of neural network. They have a greater computational capacity as the single neuron is modelled with a much more complex dynamic than the neurons present in traditional Artificial Neural Networks (ANNs). This means that SNNs can solve the same tasks as ANNs with fewer neurons [8]. Moreover, their hardware implementation on neuromorphic architectures and accelerators can lead to greater energy efficiency in data management and computation [24–28]. In this work, we do not consider neuromorphic implementation because the objective is to work with low-cost commercial MCUs, for which SNN porting is not available.”

I will forward this paper to Brainchip so they can add them to the mailing list. LOL

FF

AKIDA BALLISTA

 

[Fact Finder]

Never been out West but WA coppers were always classed as big units. Did they have different selection guide lines? Or Urban myth?

Different states had different criteria. I was referring to NSW. FF

 

[Fact Finder]

I became aware of VR AR XR now they have MR through investing in VR1 it gave me a general understanding of it, but it will definately be as ubiquitous as a phone tablet or pc. Espeacially in education on all levels.. industry will have to adopt it or fall behind. I wouldn't be surprised if the EQXX was designed using it to be honest. You seem more way more offay with it than me and I would be happy to hear more about your findings in the future.
I found this article which I think you might like. I see deep learning and neural networks get a mention and from what he's said NNs are a match made in heaven for XR. I'm sure things have progressed far in this space since the article was written and I'm seeing AKIDA knocking it out of the ballpark..

Frontiers | The Combination of Artificial Intelligence and Extended Reality: A Systematic Review

Artificial intelligence (AI) and extended reality (XR) differ in their origin and primary objectives. However, their combination is emerging as a powerful to...

www.frontiersin.org

VR Challenge User Experience Research at Mercedes Benz Pop Up | Interactive Design Cafe

Interactive Design Cafe is a global leader in marketing innovation and service design. We offer an extensive range of customer experience technologies like touch tables, kiosks, digital signage, holograms, LED, OLED, and video walls.

interactivedesigncafe.com

Simulate to fabricate: vehicle plants keep VR and AR in their sights

Carmakers are exploring how virtual reality and augmented reality can be used to improve manufacturing and inspection operations

www.automotivemanufacturingsolutions.com

There's a ton of articles and youtube
Clips...

I have to say the following paragraph lept of the page and grabbed my attention:

“Mercedes cAR will start with the market launch of the new A-Class. This is the first model to feature the Mercedes-Benz User Experience (MBUX), which allows intuitive operation and a completely new relationship with the vehicle, thanks to artificial intelligence, intelligent voice control and a comprehensive touch control concept.”

I am not saying for one minute that this is AKIDA but what are the odds that Mercedes has two completely new systems doing the same thing.

One they announce to the whole world in a concept vehicle that they claim is 6 to 10 times more efficient than anything else and one that is 6 to 10 times less efficient that they are going to release instead.

I will leave it with you.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Hittman]

Just a heads up but we kinda got world war 3 going on. And NO, that is not overstating things. Cash is king atm, going to be some cheap shares on offer until this is resolved.

Could be weeks, months or years.

Weeks, maybe a couple months at most imo, Russia will withdraw or Ukraine will capitulate.

Really no other outcomes here.

BRN likely going under $1 Monday or Tuesday going by USA markets..

 

[Boab]

I have to say the following paragraph lept of the page and grabbed my attention:

“Mercedes cAR will start with the market launch of the new A-Class. This is the first model to feature the Mercedes-Benz User Experience (MBUX), which allows intuitive operation and a completely new relationship with the vehicle, thanks to artificial intelligence, intelligent voice control and a comprehensive touch control concept.”

I am not saying for one minute that this is AKIDA but what are the odds that Mercedes has two completely new systems doing the same thing.

One they announce to the whole world in a concept vehicle that they claim is 6 to 10 times more efficient than anything else and one that is 6 to 10 times less efficient that they are going to release instead.

I will leave it with you.

My opinion only DYOR
FF

AKIDA BALLISTA

2022 Mercedes-Benz C-Class review: Australian launch

New looks, new interior, new safety features and some very cool user technology find their way into the new Mercedes-Benz C-Class.

www.drive.com.au

What we love.... MBUX is a visual treat

 

[Dhm]

Sorry if posted already.
View attachment 2242

Thank you for this. Just before I get too excited, spell this out for me again please. Renesas, which uses Akida, is creating their SENSING 360 system for Honda.

If I understand that correctly, then this news, whilst not as explosive as Mercedes Benz, is continued proof of our continued bullishness.

 

[Dhm]

I have not seen his name before, time to keep this gentleman on our watchlist.

Profiles

www.westernsydney.edu.au

That'll make an impressive looking CV (check the ''projects'' tab on that link above)

Oh BTW, don't think we need to dot join, because it's written right there.

View attachment 2244

Uninformed comment coming:
Are we not a couple of years ahead of Intel's Loihi? At least that is what I have noticed in a couple of podcasts and from informed people here.

 

[Dang Son]

I think we establish that Renesas R-car is not using Akida IP.
While they are stating reliability and power savings from RH-850
What is the chance this one contains our IP?

RH850/F1K - Pin Diagram (100-pin LQFP)

 

[Stable Genius]

I recall hearing the slogan: “we make sensors smart.”

Just trying to remember any known partners with any sensors… oh that’s right Valeo have a couple:

 

[Fact Finder]

Ok here is something that should occupy the 1,000 Eyes for the next few weeks.

Ford entered an EAP with Brainchip for ADAS and AV in May, 2020.

In late August, 2020 Ford filed the following patent:

Patent Public Search | USPTO

appft.uspto.gov

Everyone here has read about Neuralink and a host of other research relating to brain machine interface and every single one requires the ability to recognise the signals produced by the brain and or muscles of the body. In fact we have had a constant flow of could this be AKIDA due to the fact that spiking neural networks seem to be what is required to process these signals coming from the brain in an efficient manner for robotics and artificial limbs.

We know that Ford did not want to be disclosed but the ASX forced Brainchip's hand on this issue. We know that Ford is often spoken of in hushed tones by Brainchip or not at all but Ford continues in the background to be an EAP.

The above patent is so revolutionary in regards to autonomous vehicle management it would certainly provide a basis for the type of security around what Brainchip and Ford are doing so I will leave it to you to decide but what other company could be providing the necessary technology for this purpose that currently and in 2020 was engaged with Ford?

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

Never noticed this before but Cerence's video demonstrating its co-pilate technology shows not just MERCEDES but other brands namely:

BMW
VOLVO
and AUDI



"Designed with the car of the future in mind, Cerence Co-Pilot runs directly on a vehicle’s headunit, with advanced AI deeply integrated with car sensors and data to understand complex situations both inside the vehicle and around it. Serving as the central brain of the car, it analyzes a combination of voice, gaze, gesture, and touch input and information from the car’s sensors while flexibly and securely integrating edge technologies with cloud services to make driving more intuitive, connected, and enjoyable."

 

[Fact Finder]

This one is of great interest given the recent research that Brainchip is undertaking with the US Airforce regarding radar:

MSN

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

OK. There's one more to add to the list:

• Mercedes
• Volvo
• BMW
• Audi
• Volkswagen

 

[Bravo]

This too...

 

[Diogenese]

OK. There's one more to add to the list:

• Mercedes
• Volvo
• BMW
• Audi
• Volkswagen

View attachment 2252

Hi Bravo,

Here is a list of Cerence patents/applications:

https://worldwide.espacenet.com/patent/search?q=pa = "cerence"

 

[Fact Finder]

" Hey Fact Finder "
Looks to be Nvidia, are they working with Brainchip ?

Brains and Brawn: Mercedes-AMG SL Sports MBUX, Powered by NVIDIA, for Intelligent Performance

Mercedes-AMG took the wraps off its next-generation SL, bringing its long heritage of sport into the age of AI.

blogs.nvidia.com

The article you have found is from October, 2021 and states that the system is being used in the AMG SL model. The article I am referring to is from this year 2022 and states “Mercedes cAR will start with the market launch of the new A-Class. This is the first model to feature the Mercedes-Benz User Experience (MBUX)," My article states it is a new MBUX system.

So while it is entirely possible that Nvidia is still supplying GPU's it is clearly not the MBUX system that was used since 2018 and is in the AMG SL released October last year, 2021.

It was pointed out by others that Nvidia has been for a number of years the Mercedes Benz main computing partner however it is clear that with the release of the concept vehicle in late January, 2022 which nominated Brainchip for Hey Mercedes and other matters there has been a drift away from Nvidia to some extent.

Rob Telson spoke to the fact that rather than Nvidia being a competitor he would see it in more of a partnership relationship moving forward.

The idea that Nvidia and Brainchip are both working with Mercedes at the same time and not interacting seems fanciful.

Nvidia does not provide the same type of technology as Brainchip and Brainchip does not provide the same type of technology as Nvidia so unless the engineers at Mercedes had a main workshop with two breakaway rooms off this workshop each with external exits and kept the identities of the Nvidia and Brainchip engineers a secret from one to the other and did all the integration themselves then it seems logical to believe that Nvidia and Brainchip must have worked together on the Mercedes concept vehicle.

Accepting this and given how Mercedes broke the news about AKIDA's greater efficiency I would like to think that Nvidia would be well aware of just what Brainchip has achieved and be interested in engaging with Brainchip beyond this single project and as Rob Telson said more as partners than competitors.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

Hi Bravo,

Here is a list of Cerence patents/applications:

https://worldwide.espacenet.com/patent/search?q=pa = "cerence"

That's quite a list! From a quick 1 minute perusal it doesn't appear that they have anything relating to edge technologies?

 

[Diogenese]

The article you have found is from October, 2021 and states that the system is being used in the AMG SL model. The article I am referring to is from this year 2022 and states “Mercedes cAR will start with the market launch of the new A-Class. This is the first model to feature the Mercedes-Benz User Experience (MBUX)," My article states it is a new MBUX system.

So while it is entirely possible that Nvidia is still supplying GPU's it is clearly not the MBUX system that was used since 2018 and is in the AMG SL released October last year, 2021.

It was pointed out by others that Nvidia has been for a number of years the Mercedes Benz main computing partner however it is clear that with the release of the concept vehicle in late January, 2022 which nominated Brainchip for Hey Mercedes and other matters there has been a drift away from Nvidia to some extent.

Rob Telson spoke to the fact that rather than Nvidia being a competitor he would see it in more of a partnership relationship moving forward.

The idea that Nvidia and Brainchip are both working with Mercedes at the same time and not interacting seems fanciful.

Nvidia does not provide the same type of technology as Brainchip and Brainchip does not provide the same type of technology as Nvidia so unless the engineers at Mercedes had a main workshop with two breakaway rooms off this workshop each with external exits and kept the identities of the Nvidia and Brainchip engineers a secret from one to the other and did all the integration themselves then it seems logical to believe that Nvidia and Brainchip must have worked together on the Mercedes concept vehicle.

Accepting this and given how Mercedes broke the news about AKIDA's greater efficiency I would like to think that Nvidia would be well aware of just what Brainchip has achieved and be interested in engaging with Brainchip beyond this single project and as Rob Telson said more as partners than competitors.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF,

For those who missed yesterdays episode, Akida's SNN SoC recognizes and classifies sensor data.

Previously this work was done on programmable CPUs/NPUs using software programs implementing CNNs (Convolutional neural Networks) which are very heavy on computation, slow and power hungry. The CPU/NPU then had another program to utilize the output of the CNNs, for example, generating a voice response or a steering response. A major portion of the power and time is consumed in the CNN process.

Akida is many times faster and more power efficient than CNN mainly because of the sparsity of event (change) processing as compared to processing digital bytes, as well as avoiding the von Neumann bottleneck of CPUs in retrieving data from memory, and in reading/implementing program instructions.

In Akida, on the other hand, the operation time is merely the time for transistor switch operations to propagate through the NN (quasi-)*asynchronously when the input event data triggers a spike in the first layer of digital neurons. There is no need for Akida to continually retrieve and implement instructions.

The output of Akida can be substituted for the CNN program as an input for the programmable processor CPU/GPU, greatly reducing the overall power requirements and improving the timeliness of the response.

* "quasi" because Akida does packetize the input data.

The programmable processor could be provided by ARM/Intel/Nvidia ...

 

[Diogenese]

That's quite a list! From a quick 1 minute perusal it doesn't appear that they have anything relating to edge technologies?

This one could use Akida in speech recognized 218 and parser 220. Interestingly (or not) the inventors are from Germany.

WO2021138200A1 LOCATION-AWARE REMINDERS

A method for managing location-aware reminders in an automobile includes monitoring a geographic location of the automobile using a computer system installed in the vehicle. The computer system detects that the automobile has entered a geographic region associated with a location-aware reminder and issues a reminder message associated with the location-aware reminder to a driver of the automobile based on the detecting.

 

[Fact Finder]

Hi FF,

For those who missed yesterdays episode, Akida's SNN SoC recognizes and classifies sensor data.

Previously this work was done on programmable CPUs/NPUs using software programs implementing CNNs (Convolutional neural Networks) which are very heavy on computation, slow and power hungry. The CPU/NPU then had another program to utilize the output of the CNNs, for example, generating a voice response or a steering response. A major portion of the power and time is consumed in the CNN process.

Akida is many times faster and more power efficient than CNN mainly because of the sparsity of event (change) processing as compared to processing digital bytes, as well as avoiding the von Neumann bottleneck of CPUs in retrieving data from memory, and in reading/implementing program instructions.

In Akida, on the other hand, the operation time is merely the time for transistor switch operations to propagate through the NN (quasi-)*asynchronously when the input event data triggers a spike in the first layer of digital neurons. There is no need for Akida to continually retrieve and implement instructions.

The output of Akida can be substituted for the CNN program as an input for the programmable processor CPU/GPU, greatly reducing the overall power requirements and improving the timeliness of the response.

* "quasi" because Akida does packetize the input data.

The programmable processor could be provided by ARM/Intel/Nvidia ...

You are the perfect partner to have backing up my fingers crossed understanding of how the AKIDA technology works.

I hope all here show you the proper appreciation. FF

AKIDA BALLISTA hand in hand with ARM/Intel/Nvidia in 2022 and beyond.