BRN Discussion Ongoing

[manny100]

How long are our patents secured for?

20 years. The original patent runs to 2028.
For the others just add 20.

 

[manny100]

300k, sounds like a nice round figure Pom ..

I have around 500k (small compared to some posters) and still accumulating. Been in since the 3 cent days via the old Port Philip publication recs.
Fairly diversified.
Have to have a laugh about the no revenue rants. I and a number of BRN holders also hold TLG. It's likely BRN will beat them to revenue.
Plenty of other stocks in the same boat.
You just have to have a great deal of patience and resilience.

 

[Pom down under]

I have around 500k (small compared to some posters) and still accumulating. Been in since the 3 cent days via the old Port Philip publication recs.
Fairly diversified.
Have to have a laugh about the no revenue rants. I and a number of BRN holders also hold TLG. It's likely BRN will beat them to revenue.
Plenty of other stocks in the same boat.
You just have to have a great deal of patience and resilience.

 

[JoMo68]

I have around 500k (small compared to some posters) and still accumulating. Been in since the 3 cent days via the old Port Philip publication recs.
Fairly diversified.
Have to have a laugh about the no revenue rants. I and a number of BRN holders also hold TLG. It's likely BRN will beat them to revenue.
Plenty of other stocks in the same boat.
You just have to have a great deal of patience and resilience.

I share your pain Manny. BRN and TLG are my heaviest loadings. Really testing the resolve....

 

[HopalongPetrovski]

Come on Sean, or its just gonna be more and more of this....

 

[Pom down under]

I recon we could be holding this price until the cap raise is over and did anyone buy at the 0.193? As Im glad I never as I’m 2500 shares better off.

 

[Slade]

VVDN Technologies
@vvdn_tech

Akida™ Edge AI Box, a powerhouse in a compact form! Developed by VVDN and BrainChip, this cutting-edge device integrates the BrainChip AKD1000 AI Accelerators and NXP’s http://i.MX 8M Plus SoC more at:https://bit.ly/3WKrDkf #EdgeAI #Innovation #AI #TechSolutions

 

[7für7]

Green so nice to see

 

[Shadow59]

Looks like about the lowest volume traded in 6 months. Whatever that may mean.

 

[Diogenese]

VVDN Technologies
@vvdn_tech

Akida™ Edge AI Box, a powerhouse in a compact form! Developed by VVDN and BrainChip, this cutting-edge device integrates the BrainChip AKD1000 AI Accelerators and NXP’s http://i.MX 8M Plus SoC more at:https://bit.ly/3WKrDkf #EdgeAI #Innovation #AI #TechSolutions

Thanks Slade - I've been holding my breath since the first announcement ...

For those of us who are "X" reluctant:

https://www.vvdntech.com/vision/akida-edge-ai-box


Developed in collaboration between VVDN and BrainChip, the Akida™ Edge AI Box is a small form factor device designed to accelerate AI processing and enable advanced AI solutions at the Edge. With the integration of two BrainChip AKD1000 AI Accelerators and NXP's i.MX 8M Plus SoC, this box can execute diverse AI applications for vision, voice, vibration, and many other sensor applications. By processing data close to the sensor, security and privacy are enhanced through minimizing the need for cloud connectivity and reducing exposure of sensitive data.

VVDN and BrainChip also offer customization options to meet specific end-customer requirements.

Highlights​

• NXP i.MX 8M Plus Quad SoC
• 2 x BrainChip AKD1000 Processors
• 4GB LPDDR4, 32GB eMMC
• Supports Linux Embedded OS Version 6.1
• Small and Compact Size Enclosure
• Easy to Build, Deploy, and Manage AI at the Edge
• Supports 12VDC with an External Power Adapter

 

[davidfitz]

Thanks Slade - I've been holding my breath since the first announcement ...

For those of us who are "X" reluctant:

https://www.vvdntech.com/vision/akida-edge-ai-box


Developed in collaboration between VVDN and BrainChip, the Akida™ Edge AI Box is a small form factor device designed to accelerate AI processing and enable advanced AI solutions at the Edge. With the integration of two BrainChip AKD1000 AI Accelerators and NXP's i.MX 8M Plus SoC, this box can execute diverse AI applications for vision, voice, vibration, and many other sensor applications. By processing data close to the sensor, security and privacy are enhanced through minimizing the need for cloud connectivity and reducing exposure of sensitive data.

VVDN and BrainChip also offer customization options to meet specific end-customer requirements.

Highlights​

• NXP i.MX 8M Plus Quad SoC
• 2 x BrainChip AKD1000 Processors
• 4GB LPDDR4, 32GB eMMC
• Supports Linux Embedded OS Version 6.1
• Small and Compact Size Enclosure
• Easy to Build, Deploy, and Manage AI at the Edge
• Supports 12VDC with an External Power Adapter

Let's hope that they can sell more than 50. Whilst the comment sounds a bit sarcastic, I believe that their client base is a bit bigger than ours!

 

[DingoBorat]

Green so nice to see

Interesting that it closed green ....

They could have easily pushed a flat close at least, as it didn't close green on much volume..

Only 3.6 million shares traded (ASX) with pissant small parcels.

The Company is "virtually" in a trading halt at the moment.

No strong buying.
Shorters want to buy lower, or lose big money.

Holders big and small adopting a "wait and see" approach and why wouldn't they?

We are now fully financed, for at least the next year, with so much potentially going on..

My bet is, the shorters at "this" level, will buckle, before holders

But let's see, they may still have more wood to stack! ...

 

[DingoBorat]

Thanks Slade - I've been holding my breath since the first announcement ...

For those of us who are "X" reluctant:

https://www.vvdntech.com/vision/akida-edge-ai-box


Developed in collaboration between VVDN and BrainChip, the Akida™ Edge AI Box is a small form factor device designed to accelerate AI processing and enable advanced AI solutions at the Edge. With the integration of two BrainChip AKD1000 AI Accelerators and NXP's i.MX 8M Plus SoC, this box can execute diverse AI applications for vision, voice, vibration, and many other sensor applications. By processing data close to the sensor, security and privacy are enhanced through minimizing the need for cloud connectivity and reducing exposure of sensitive data.

VVDN and BrainChip also offer customization options to meet specific end-customer requirements.

Highlights​

• NXP i.MX 8M Plus Quad SoC
• 2 x BrainChip AKD1000 Processors
• 4GB LPDDR4, 32GB eMMC
• Supports Linux Embedded OS Version 6.1
• Small and Compact Size Enclosure
• Easy to Build, Deploy, and Manage AI at the Edge
• Supports 12VDC with an External Power Adapter

Not sure what you mean by "Holding your breath" Diogenese? ..

The link that you provided (at least) has been around for a while (Frangipani raised it in a post some time back)..

I'm guessing you mean, that all stations are still go?

I do think they probably had some teething issues, but that is the same, for almost any new products, even from the Big Boys.

Obviously, reputationally, it's more important for us, to have a smooth launch.

 

[Diogenese]

Not sure what you mean by "Holding your breath" Diogenese? ..

The link that you provided (at least) has been around for a while (Frangipani raised it in a post some time back)..

I'm guessing you mean, that all stations are still go?

I do think they probably had some teething issues, but that is the same, for almost any new products, even from the Big Boys.

Obviously, reputationally, it's more important for us, to have a smooth launch.

Hi DB,

Short term memory's shot - every day is a new surprise!

 

[CHIPS]

Order filled and thank you to all you shorters and especially @DK6161 for making the price lower than what I originally was going to buy on the cap raise. Now hit my target of 250k shares

View attachment 67384

Same here. Bought more yesterday at the lowest price in a long time.

Now ... live well or die with BrainChip for me.

 

[CHIPS]

20 Jahre. Das ursprüngliche Patent läuft bis 2028.
Für die anderen addieren Sie einfach 20.

Was bedeutet das ursprüngliche Patent und kann es verlängert werden? Do you happen to know?

 

[Diogenese]

Was bedeutet das ursprüngliche Patent und kann es verlängert werden? Do you happen to know?

Hi Chips,


This is the original patent:

US8250011B2 Autonomous learning dynamic artificial neural computing device and brain inspired system 20080921

This is the main claim which defined the invention in its broadest form:

An information processing system intended for use in artificial intelligence and having a plurality of digital artificial neuron circuits connected in an array, the system comprising

a plurality of digital dynamic synapse circuits, wherein each digital dynamic synapse circuit contains a binary register that stores a value representing neurotransmitter type and level, wherein the digital dynamic synapse circuits comprise a means of learning and responding to input signals, either by producing or compounding the value, thereby simulating behavior of a biological synapse; and

a temporal integrator circuit that integrates and combines each individually simulated synapse neurotransmitter type and value over time, wherein time is dependent on the neurotransmitter type stored in each digital dynamic synapse circuit.

It is highly improbable that it can be extended. That requires exceptional circumstances which prevented exploitation of the invention, eg, war. Normal technical/commercial circumstances would not suffice.

I think that this one is more relevant to Akida 1 ...

US11468299B2 Spiking neural network 20181101

A neuromorphic integrated circuit, comprising:

a spike converter circuit configured to generate spikes from input data;

a reconfigurable neuron fabric comprising a neural processor comprising a plurality of spiking neuron circuits configured to perform a task based on the spikes and a neural network configuration; and

a memory comprising the neural network configuration, wherein the neural network configuration comprises a potential array and a plurality of synapses, and the neural network configuration defines connections between the plurality of spiking neuron circuits and the plurality of synapses, the potential array comprising membrane potential values for the plurality of spiking neuron circuits, and the plurality of synapses having corresponding synaptic weights,

wherein the neural processor is configured to:

select a spiking neuron circuit in the plurality of spiking neuron circuits based on the selected spiking neuron circuit having a membrane potential value that is a highest value among the membrane potential values for the plurality of spiking neuron circuits;

determine that the membrane potential value of the selected spiking neuron circuit reached a learning threshold value associated with the selected spiking neuron circuit; and

perform a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the selected spiking neuron circuit reached the learning threshold value associated with the selected spiking neuron circuit.


... because it gives me the chance to post the Mona Lisa of NNs (elegance, beauty and simplicity).


The TeNNs patent may prove to be just as valuable:

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORKS 20220622

a neural network system generally relates to the field of neural networks (NNs). In particular, the present disclosure relates to event-based convolutional neural networks (NNs) that are trained to process spatial and temporal data using kernels represented by polynomial expansion. The event-based convolutional neural networks (NNs) are spatiotemporal neural networks. According to an embodiment, an explicit temporal convolution capability is added through Temporal Event-based Neural Networks (TENN) models, or TENNs in the spatiotemporal neural networks. The TENNs includes a plurality of temporal and spatial convolution layers that combine spatial and temporal features of data for low-level and high-level features. The TENNs as disclosed herein are configured to perform in a buffer mode and recurrent mode that effectively learns both spatial and temporal correlations from the input data.

... and this supporting patent application:

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622

a method for processing event-based input data using a neural network. The neural network comprises a plurality of neurons and one or more connections associated with each of the plurality of neurons. Further, each of the plurality of neurons is configured to receive a corresponding portion of the event-based data. The method comprises receiving, at a neuron of the plurality of neurons, a plurality of events associated with the event-based data over the one or more connections associated with the neuron. Each of the one or more connections is associated with a kernel. The method further comprises determining a potential of the neuron over the period of time based on processing of the kernels. In order to determine the potential, the method further comprises offsetting the kernels in one of a spatial dimension, a temporal dimension, or a spatiotemporal dimension, and processing the offset kernels in order to determine the potential. The method further comprises generating, at the neuron, output based on the determined potential.

 

[Kachoo]

VVDN Technologies
@vvdn_tech

Akida™ Edge AI Box, a powerhouse in a compact form! Developed by VVDN and BrainChip, this cutting-edge device integrates the BrainChip AKD1000 AI Accelerators and NXP’s http://i.MX 8M Plus SoC more at:https://bit.ly/3WKrDkf #EdgeAI #Innovation #AI #TechSolutions

Nice to see VVDN advertise it.

For the SP well I don't think that price will be south if the SPP 19.3 for long but to short bellow the SP what is the shorters game only logical thought is they shorted it to a mother buyer that was short to buy back just to trip stop loss Sales? The only other gamble would be is the BRN will not have any contracts over the next 1.5 year and they cover lower but I mean really weird.

 

[Pom down under]

Nice to see VVDN advertise it.

For the SP well I don't think that price will be south if the SPP 19.3 for long but to short bellow the SP what is the shorters game only logical thought is they shorted it to a mother buyer that was short to buy back just to trip stop loss Sales? The only other gamble would be is the BRN will not have any contracts over the next 1.5 year and they cover lower but I mean really weird.

Expecting the price to drop lower if games are being played as previously mentioned, but wasn’t brave enough to take that gamble and happy with the few extra shares.

 

[CHIPS]

Hi Chips,


This is the original patent:

US8250011B2 Autonomous learning dynamic artificial neural computing device and brain inspired system 20080921

This is the main claim which defined the invention in its broadest form:

An information processing system intended for use in artificial intelligence and having a plurality of digital artificial neuron circuits connected in an array, the system comprising

a plurality of digital dynamic synapse circuits, wherein each digital dynamic synapse circuit contains a binary register that stores a value representing neurotransmitter type and level, wherein the digital dynamic synapse circuits comprise a means of learning and responding to input signals, either by producing or compounding the value, thereby simulating behavior of a biological synapse; and

a temporal integrator circuit that integrates and combines each individually simulated synapse neurotransmitter type and value over time, wherein time is dependent on the neurotransmitter type stored in each digital dynamic synapse circuit.

It is highly improbable that it can be extended. That requires exceptional circumstances which prevented exploitation of the invention, eg, war. Normal technical/commercial circumstances would not suffice.

I think that this one is more relevant to Akida 1 ...

US11468299B2 Spiking neural network 20181101

View attachment 67401


A neuromorphic integrated circuit, comprising:

a spike converter circuit configured to generate spikes from input data;

a reconfigurable neuron fabric comprising a neural processor comprising a plurality of spiking neuron circuits configured to perform a task based on the spikes and a neural network configuration; and

a memory comprising the neural network configuration, wherein the neural network configuration comprises a potential array and a plurality of synapses, and the neural network configuration defines connections between the plurality of spiking neuron circuits and the plurality of synapses, the potential array comprising membrane potential values for the plurality of spiking neuron circuits, and the plurality of synapses having corresponding synaptic weights,

wherein the neural processor is configured to:

select a spiking neuron circuit in the plurality of spiking neuron circuits based on the selected spiking neuron circuit having a membrane potential value that is a highest value among the membrane potential values for the plurality of spiking neuron circuits;

determine that the membrane potential value of the selected spiking neuron circuit reached a learning threshold value associated with the selected spiking neuron circuit; and

perform a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the selected spiking neuron circuit reached the learning threshold value associated with the selected spiking neuron circuit.


... because it gives me the chance to post the Mona Lisa of NNs (elegance, beauty and simplicity).


The TeNNs patent may prove to be just as valuable:

WO2023250093A1 METHOD AND SYSTEM FOR IMPLEMENTING TEMPORAL CONVOLUTION IN SPATIOTEMPORAL NEURAL NETWORKS 20220622

View attachment 67402

a neural network system generally relates to the field of neural networks (NNs). In particular, the present disclosure relates to event-based convolutional neural networks (NNs) that are trained to process spatial and temporal data using kernels represented by polynomial expansion. The event-based convolutional neural networks (NNs) are spatiotemporal neural networks. According to an embodiment, an explicit temporal convolution capability is added through Temporal Event-based Neural Networks (TENN) models, or TENNs in the spatiotemporal neural networks. The TENNs includes a plurality of temporal and spatial convolution layers that combine spatial and temporal features of data for low-level and high-level features. The TENNs as disclosed herein are configured to perform in a buffer mode and recurrent mode that effectively learns both spatial and temporal correlations from the input data.

... and this supporting patent application:

WO2023250092A1 METHOD AND SYSTEM FOR PROCESSING EVENT-BASED DATA IN EVENT-BASED SPATIOTEMPORAL NEURAL NETWORKS 20220622

a method for processing event-based input data using a neural network. The neural network comprises a plurality of neurons and one or more connections associated with each of the plurality of neurons. Further, each of the plurality of neurons is configured to receive a corresponding portion of the event-based data. The method comprises receiving, at a neuron of the plurality of neurons, a plurality of events associated with the event-based data over the one or more connections associated with the neuron. Each of the one or more connections is associated with a kernel. The method further comprises determining a potential of the neuron over the period of time based on processing of the kernels. In order to determine the potential, the method further comprises offsetting the kernels in one of a spatial dimension, a temporal dimension, or a spatiotemporal dimension, and processing the offset kernels in order to determine the potential. The method further comprises generating, at the neuron, output based on the determined potential.

Thank you @Diogenese

It is a bit difficult to understand. Do I understand it right that the invalidity of our original patent does not endanger our business as much as the following ones would? What if somebody uses the original patent once it is invalid? What would be the worst that could happen to BrainChip?