BRN Discussion Ongoing

[Xray1]

View attachment 9669

More importantly this partnership once again imo validate's our AI / IP technology with a well known and well connected Co.

 

[butcherano]

Well they do not appear on their list of partners. If Brainchip fills the gap on the list over the next week or so then I suspect they have moved on.

Perhaps SynSense web site will tell the story.

My opinion only DYOR
FF

AKIDA BALLISTA

Yeah…interesting that SynSense aren’t listed as a partner on the About tab here…https://www.prophesee.ai/about-prophesee/

But they’re still listed as a partner on the homepage here…. https://www.prophesee.ai/

Will be interesting to see if they’re still there when Brainchip make an appearance on the list…

 

[Reuben]

Prophesee Partners

View attachment 9671

imagine renault using akida, phew

By 2017, the Renault–Nissan–Mitsubishi Alliance had become the world's biggest seller of light vehicles.[12]

 

[Xray1]

This looks better

View attachment 9679
DYOR, I've saved the hard work for Prophesee, by showing how nice their page would look like with our company logo.

I think our Co name would look a lot better if it was placed at the "top" of the partners lists.... lol

 

[butcherano]

View attachment 9669

Could we be in this?…possibly the driver for announcing the partnership if they’re starting to make some sales?…

Prophesee launches EVK4 based on new Sony IMX636ES HD sensor

First EVK for immediate evaluation of Sony IMX636ES HD sensor - industry’s only commercial-grade Event-Based Vision stacked sensor.

www.prophesee.ai

 

[Fact Finder]

"We've successfully ported the data from Prophesee's neuromorphic-based camera sensor to process inference on Akida with impressive performance," said Anil Mankar, Co-Founder and CDO of BrainChip. "This combination of intelligent vision sensors with Akida's ability to process data with unparalleled efficiency, precision and economy of energy at the point of acquisition truly advances state-of-the-art AI enablement and offers manufacturers a ready-to-implement solution."

"By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs looking to leverage edge-based visual technologies as part of their product offerings, said Luca Verre, CEO and co-founder of Prophesee."

Its great to be a shareholder

If you take the following part of Prophesee’s statement above:

“"By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs”

with what they said when they partnered with SynSense in October, 2021 it is clear that SynSense was not all they thought it was going to be:

SynSense and Prophesee develop one-chip event-based smart sensing solution

Partnership leverages respective leadership in neuromorphic computing and sensing to realize on-sensor processing integration leading to small form-factor, low-power and cost-effective IoT solutions

www.prophesee.ai

If you were SynSense you would cringe at the statement that Brainchip is ‘better able’ to do what they were supposed to in the above announcement.

Ubiquitous. DEFAULT STANDARD.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[wilzy123]

If you take the following part of Prophesee’s statement above:

“"By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs”

with what they said when they partnered with SynSense in October, 2021 it is clear that SynSense was not all they thought it was going to be:

SynSense and Prophesee develop one-chip event-based smart sensing solution

Partnership leverages respective leadership in neuromorphic computing and sensing to realize on-sensor processing integration leading to small form-factor, low-power and cost-effective IoT solutions

www.prophesee.ai

If you were SynSense you would cringe at the statement that Brainchip is ‘better able’ to do what they were supposed to in the above announcement.

Ubiquitous. DEFAULT STANDARD.

My opinion only DYOR
FF

AKIDA BALLISTA

WASCA - What's a SynSense Chip Anyway

 

[IndepthDiver]

Therein lies the weakness of your argument ‘as far as we know’.

Given we all know we do not know everything that is taking place behind the Brainchip veil your certainty is certainly misplaced.

If you read what Anil Mankar said at 2021 Ai Field Day he left wide open the opportunity that LSTM could be added to AKD1000 neural fabric by software without changes to the fabric as it already uses ‘itegrate and fire neuron’.

So put your briefs back on for the moment my speculation is still taking up the surface of the table.

My opinion only DYOR
FF

AKIDA BALLISTA

Hi FF,

Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).

So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.

Pure speculation, DYOR

Model inference overview | BigQuery | Google Cloud

cloud.google.com

Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”

 

[LuWil]

Space Situational Awareness with event-based vision

There is a critical need for accurate detection and tracking of satellites. Greg Cohen and his team are harnessing neuromorphic technology and Event-Based Vision solutions to make this important job extremely efficient.

www.prophesee.ai

Neuromorphic Vision For Enhanced Robotics Capabilities

Researchers at National University of Singapore combined neuromorphic vision and touch to help robots grip and identify objects.

www.prophesee.ai

Microfluidic Analysis Makes Strides Using Event-Based Vision Capabilities

Aided by Prophesee's technology, researchers at the University of Glasgow and Heriot-Watt University have discovered ways to leverage Event-Based Vision's high-speed particle detection capabilities to perform microfluidic analysis.

www.prophesee.ai

Cambridge Consultants Prophesee Cell Therapy Event-Based Vision

Cambridge Consultants unlocked next-generation cell therapy through real-time cell batch sterility testing with Prophesee Metavision® sensing.

www.prophesee.ai

 

[Fact Finder]

The following is dedicated to the folks at SynSense:

 

[Fact Finder]

Hi FF,

Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).

So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.

Pure speculation, DYOR

Model inference overview | BigQuery | Google Cloud

cloud.google.com

Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”

I am still speculating. The logic is that the next generation with LSTM has been available to early access customers and robotics needs LSTM and Prophesee have jumped ship mid voyage.

I am joining the @MC🐠 school of early speculation.

Prove that Brainchip has not released LSTM to early access customers as it did with AKD1000 IP before announcing its availability to the market generally and I will give up speculating.

We both know you cannot anymore than I can prove it has been so I will continue to rely on the history of how Brainchip has done things in the past and the unusual language.

My opinion and speculation only so DYOR
FF

AKIDA BALLISTA

 

[Proga]

Good morning

BrainChip Partners with Prophesee Optimizing Computer Vision AI Performance and Efficiency

LAGUNA HILLS, CA / ACCESSWIRE / June 19, 2022 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world's most advanced neuromorp

crweworld.com

"offers manufacturers a ready-to-implement solution" is interesting. We might see revenue brought forward

 

[LuWil]

Neuromorphic Vision For Enhanced Robotics Capabilities

Researchers at National University of Singapore combined neuromorphic vision and touch to help robots grip and identify objects.

www.prophesee.ai

Researchers at the Collaborative, Learning, and Adaptive Robots (CLeAR) Lab and TEE Research Group at National University of Singapore are taking advantage of the benefits of Event-Based Vision, in combination with touch, to build new visual-tactile datasets for the development of better learning systemsin robotics. The neuromorphic sensor fusion of touch and vision is being used to help robots grip and identify objects.

Their research work on ‘electronic skin’ includes Prophesee’s Metavision Event-Based Vision sensor, and demonstrates how touch and vision can be combined for enhanced capabilities in robotics.

This looks like it all ties in with TACNIQ which was founded by Benjamin Tee (TEE Research Group) which as we know, are currently evaluating Akida.

About Us | TacniQ

TacniQ is a spinoff resulting from a cross-disciplinary collaboration between the fields of computer science and bioengineering.

tacniq.ai

My opinion only.
DYOR

 

[Diogenese]

Hi FF,

Personally I disagree with all the comments said here about this. The word inference has different meanings depending on which industry you are referring to. In the context of machine learning, inference refers to the data being fed into the machine learning model or algorithm (see link below).

So in the context here, processing inference simply refers to processing sensor data. Nothing further to read here, definitely no reference to LSTM's.
On top of this, since English isn't Anil's primary language, I think some leniency may be required, so there's not much point reading too deeply into how his sentences are structured.

Pure speculation, DYOR

Model inference overview | BigQuery | Google Cloud

cloud.google.com

Machine learning inference is the process of running data points into a machine learning model to calculate an output such as a single numerical score. This process is also referred to as “operationalizing a machine learning model” or “putting a machine learning model into production.”

Hi IDD,

You've left out the outference "to calculate an output".

The inference is the estimating of the output from the input data.

infer
[ɪnˈfəː]
VERB

1. deduce or conclude (something) from evidence and reasoning rather than from explicit statements:

Inference, from my understanding, is the classification of an object from data which is similar to, but not identical with already known data.

Akida has been processing inference for donkeyears, as exemplified by the use of the word 11 times in this 2019 presentation.

https://brainchip.com/wp-content/uploads/2019/10/BrainChip-Linley-Akida-Presentation_v5.pdf


For example, Akida may determine the classification of an object if it has a sufficient percentage of similarities to a known object, or if a part of the new object is sufficiently similar to a corresponding part of a known object.

 

[uiux]

For what it's worth:

akida-camera/akida_camera.py at master · stdp/akida-camera

Learning how to use the Akida neuromorphic processor with a Camera feed - stdp/akida-camera

github.com

def infer(self):
        while True:
            input_array = camera.get_input_array()
            predictions = self.model_ak.predict_classes(input_array, num_classes=NUM_CLASSES)
            if predictions[0] in SAVED:
                self.camera.label = LABELS.get(predictions[0], predictions[0])
                self.camera.shots = "{} shot/s".format(SHOTS.get(predictions[0]))
            time.sleep(1 / INFERENCE_PER_SECOND)

This is logic to get a frame from a webcam to process with akida, eg. the one shot learning demo

 

[Fact Finder]

Anyone else remember what Ryad Benosman the founder of Prophesee said on social media when asked by a poster here about Brainchip and AKIDA.

Be interesting to have it reposted here in light of what has been announced today.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Foxdog]

Still no major pop on the SP - is the market blind

 

[Mccabe84]

Still no major pop on the SP - is the market blind

Is it getting held back again, insto’s still accumulating?

 

[M_C]

I was saving these for a rainy day............

 

[Lex555]

Playing devils advocate for a minute, my calculate revenue by royalties x price of royalties. With all these partnerships coming out and interconnecting with their own ecosystems it would be easy to imagine market(s) saturation. @MC🐠 thanks.

What I’m not 100% convinced on is average price per royalty, could we be potentially over estimating here? @Fact Finder what do you think?

Comparing ARM Holdings, they have 2021 revenue of $2.7b from a total of ~$30b chips sold this year which gives an average of $0.10 revenue per chip. Why is this so low?

Arm Delivers Record Revenues and Record Profits in FY21

2021 total revenues were up 35% to $2.7Bn with strong growth in both royalty and non-royalty revenue.

www.arm.com

Makes me wonder if we’re doing IP, and agreements aren’t disclosed, then what are the chances we could be overstating this 10x.

Or does it even matter, with a conservative $60b market by 2025 and Akida being best in class/ first in class we achieve a more likely 50% share like @chapman89 says, then multiply by 15x (ARM ranges from 10-25x) we get $450bn USD MC. Hmm…