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Labsy

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Wish I had held and not bought more earlier this week at 37c....... every time I swear.
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overpup

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Shadow59

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Learning

Learning to the Top 🕵‍♂️
Can't remember if this was share.
A paper by Brainchip partner Quantum Ventura.

Akida 1000 compare with Intel Lohi2.
From the untrained eyes, Akida is doing well compare to Lohi2.

This morning podcast, Anthony spoke of the 3 P; Power, Performance and Price. I think this is a fine example of that's.

Model size: Akida 15kKB Loihi2 44.4KB
Performance: Similar
Prices: if I remember correctly Loihi2 cost around $30k (other members can help me with this) Akida 1000 $550.

So little Akida is not doing too bad compare to the Intel Loihi 2.

Ps. More knowledgeable members can explain this paper better than me, cheer.

Screenshot_20230818_145948_LinkedIn.jpg


Screenshot_20230818_145028_LinkedIn.jpg


Learning 🏖
 
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cosors

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MDhere

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Wish I had held and not bought more earlier this week at 37c....... every time I swear.
200.gif
what's 4c when it reaches $4 sell at $4.04 :)
 
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Don't know if this one posted before as is from March on Prophesee / Qualcomm.

Just an interesting read and final comments by Inivation last paragraph :unsure:



Experts Weigh Impact of Prophesee-Qualcomm Deal​

By Sunny Bains 03.03.2023

Prophesee this week announced a collaboration to “allow native compatibility” between its Metavision neuromorphic event-based cameras and Qualcomm’s Snapdragon mobile platforms in a multi-year deal to co-develop their tech.

Prophesee’s brain-inspired sensors inherently compress data by only detecting pixels that change their brightness level at any given time. This means the sensors can work at very high, effective frame rates but, for most tasks, at very low power and bandwidth. The technology is already routinely used in automation and inspection applications to measure vibrations as well as count and track objects.

The data provided by the sensors can be used to enhance images from a conventional frame-based camera: removing blur where the light is low or the subjects are moving quickly. This is particularly important for small cameras that have less light-gathering power.

Frédéric Guichard, CEO and CTO of DXOMARK, a French company that specializes in testing cameras and other consumer electronics, and that is unconnected with Paris-based Prophesee, told EE Times that the ability to deblur in these circumstances could provide definite advantages.

“Reducing motion blur [without increasing noise] would be equivalent to virtually increasing camera sensitivity,” Guichard said, noting two potential benefits: “For the same sensitivity [you could] reduce the sensor size and therefore camera thickness,” or you could maintain the sensor size and use longer exposures without motion blur.

Rendition of Prophesee and Qualcomm technology collab. By combining a conventional frame camera with data from an event-based imager, motion blur can be eliminated. See this video. (Source: Prophesee)
Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies, told EE Times that they can get this image enhancement with probably a 20-30% increase in power consumption to run the extra image sensor and execute the processing.
“The processing can be done slowly and offline because you don’t really care about how long it takes to complete,” Heape added.

A richer feature set

Artist rendition of the dual event/frame sensor camera to be produced by Prophesee and Qualcomm. Concept of the dual event/frame sensor camera. (Source: Prophesee)

Event sensors, however, should make other functionalities possible, too.
Tobi Delbruck, a professor at the Institute of Neuroinformatics in Zurich, Switzerland, and founder of Prophesee competitor IniVation, told EE Times that a big group at Samsung was looking at “trying to integrate something like a DVS [event-based camera] into smartphones, and they successfully demonstrated a whole bunch of cool [features] like gesture recognition.”

At the time, Delbruck explained, it wasn’t technically feasible to execute the signal processing required to make an event-based camera work on a phone, but now, with the neural accelerators that have become increasingly powerful and efficient in mobile platforms (as on Qualcomm’s Snapdragon), this is no longer a barrier.

Qualcomm’s Heape said he is also aware of, and interested in, these other possibilities.

“We have many, many low-power use cases,” he said. Lifting a phone to your ear to wake it up is one example. Gesture-recognition to control the car when you’re driving is another.

“These event-based sensors are much more efficient for that because they can be programmed to easily detect motion at very low power,” he said. “So, when the sensor is not operating, when there’s no movement or no changes in the scene, the sensor basically consumes almost no power. So that’s really interesting to us.”
Eye-tracking could also be very useful, Heape added, because Qualcomm builds devices for augmented and virtual reality. “Eye-tracking, motion-tracking of your arms, hands, legs… are very efficient with image sensors,” he said. “In those cases, it is about power, but it’s also about frame rate. We need to track the eyes at like 90 [or 120] frames per second. It’s harder to do that with a standard image sensor.”

Toward mass production

Heape explained how the collaboration will work: Qualcomm’s OEMs, such as Oppo, Vivo, Xiaomi, OnePlus Honor, and Samsung, can “purchase a chipset and the software from [Qualcomm] and then, from Prophesee, they would also purchase the image sensor and the software… but they would have both been pre-tested by us.”

Product lines, however, are not being combined. “We’re working together to pre-integrate them before they get incorporated into the final product,” he said.

This highlights another advantage of the collaboration with Qualcomm, one that Delbruck points out: It gives Prophesee access to integrate with Mobile Industry Processing Interface (MIPI), making it possible for the company to move into these mobile applications. Licensing this technology is expensive, so this would otherwise be a barrier to entering the mobile market.

Prophesee CEO Luca Verre told EE Times the company is close to launching its first mobile product with one OEM. “The target is to enter into mass production next year,” he said.

However, Delbruck cautioned that an intellectual property battle could get in the way—because there has long been contention about whether the Prophesee camera is too similar to earlier designs, particularly those invented at INI Zurich.
“It’s not an issue at all right now because nothing is in mass production,” he said, “But it could become an issue for them later, as happened with Caltech and the basic APS [Active Pixel Sensor] patent.”
 
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jk6199

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Just had a look back on my own noted closing ASX prices.

On the 19/6/2023, we hit the 30's again, with closing price of 39.5c that day.

On the 26/6/2023, believe it or not, we closed at 33.5c, the same as today.

When you look over the SP, the shock of us being in the 30's isn't really a shock.

I think a lot of us are following the company's theme of the third quarter ramping up in readiness for Akida 2 (& somewhere in there Akida 1.5).
 
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S

Straw

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Just had a look back on my own noted closing ASX prices.

On the 19/6/2023, we hit the 30's again, with closing price of 39.5c that day.

On the 26/6/2023, believe it or not, we closed at 33.5c, the same as today.

When you look over the SP, the shock of us being in the 30's isn't really a shock.

I think a lot of us are following the company's theme of the third quarter ramping up in readiness for Akida 2 (& somewhere in there Akida 1.5).
If it was left in black text would we care as much about daily/weekly/monthly movements? Also multiple updates a day on media can't help.
Sometimes I wonder why any of it is reported on. Mostly they say hey it's gone up or down and maybe its because the price of deep fried spiders has stabilised in Iceland.
Apologies just an intra-day rant.
 
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Diogenese

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Don't know if this one posted before as is from March on Prophesee / Qualcomm.

Just an interesting read and final comments by Inivation last paragraph :unsure:



Experts Weigh Impact of Prophesee-Qualcomm Deal​

By Sunny Bains 03.03.2023

Prophesee this week announced a collaboration to “allow native compatibility” between its Metavision neuromorphic event-based cameras and Qualcomm’s Snapdragon mobile platforms in a multi-year deal to co-develop their tech.

Prophesee’s brain-inspired sensors inherently compress data by only detecting pixels that change their brightness level at any given time. This means the sensors can work at very high, effective frame rates but, for most tasks, at very low power and bandwidth. The technology is already routinely used in automation and inspection applications to measure vibrations as well as count and track objects.

The data provided by the sensors can be used to enhance images from a conventional frame-based camera: removing blur where the light is low or the subjects are moving quickly. This is particularly important for small cameras that have less light-gathering power.

Frédéric Guichard, CEO and CTO of DXOMARK, a French company that specializes in testing cameras and other consumer electronics, and that is unconnected with Paris-based Prophesee, told EE Times that the ability to deblur in these circumstances could provide definite advantages.

“Reducing motion blur [without increasing noise] would be equivalent to virtually increasing camera sensitivity,” Guichard said, noting two potential benefits: “For the same sensitivity [you could] reduce the sensor size and therefore camera thickness,” or you could maintain the sensor size and use longer exposures without motion blur.

Rendition of Prophesee and Qualcomm technology collab. By combining a conventional frame camera with data from an event-based imager, motion blur can be eliminated. See this video. (Source: Prophesee)
Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies, told EE Times that they can get this image enhancement with probably a 20-30% increase in power consumption to run the extra image sensor and execute the processing.
“The processing can be done slowly and offline because you don’t really care about how long it takes to complete,” Heape added.

A richer feature set

Artist rendition of the dual event/frame sensor camera to be produced by Prophesee and Qualcomm. Concept of the dual event/frame sensor camera. (Source: Prophesee)

Event sensors, however, should make other functionalities possible, too.
Tobi Delbruck, a professor at the Institute of Neuroinformatics in Zurich, Switzerland, and founder of Prophesee competitor IniVation, told EE Times that a big group at Samsung was looking at “trying to integrate something like a DVS [event-based camera] into smartphones, and they successfully demonstrated a whole bunch of cool [features] like gesture recognition.”

At the time, Delbruck explained, it wasn’t technically feasible to execute the signal processing required to make an event-based camera work on a phone, but now, with the neural accelerators that have become increasingly powerful and efficient in mobile platforms (as on Qualcomm’s Snapdragon), this is no longer a barrier.

Qualcomm’s Heape said he is also aware of, and interested in, these other possibilities.

“We have many, many low-power use cases,” he said. Lifting a phone to your ear to wake it up is one example. Gesture-recognition to control the car when you’re driving is another.

“These event-based sensors are much more efficient for that because they can be programmed to easily detect motion at very low power,” he said. “So, when the sensor is not operating, when there’s no movement or no changes in the scene, the sensor basically consumes almost no power. So that’s really interesting to us.”
Eye-tracking could also be very useful, Heape added, because Qualcomm builds devices for augmented and virtual reality. “Eye-tracking, motion-tracking of your arms, hands, legs… are very efficient with image sensors,” he said. “In those cases, it is about power, but it’s also about frame rate. We need to track the eyes at like 90 [or 120] frames per second. It’s harder to do that with a standard image sensor.”

Toward mass production

Heape explained how the collaboration will work: Qualcomm’s OEMs, such as Oppo, Vivo, Xiaomi, OnePlus Honor, and Samsung, can “purchase a chipset and the software from [Qualcomm] and then, from Prophesee, they would also purchase the image sensor and the software… but they would have both been pre-tested by us.”

Product lines, however, are not being combined. “We’re working together to pre-integrate them before they get incorporated into the final product,” he said.

This highlights another advantage of the collaboration with Qualcomm, one that Delbruck points out: It gives Prophesee access to integrate with Mobile Industry Processing Interface (MIPI), making it possible for the company to move into these mobile applications. Licensing this technology is expensive, so this would otherwise be a barrier to entering the mobile market.

Prophesee CEO Luca Verre told EE Times the company is close to launching its first mobile product with one OEM. “The target is to enter into mass production next year,” he said.

However, Delbruck cautioned that an intellectual property battle could get in the way—because there has long been contention about whether the Prophesee camera is too similar to earlier designs, particularly those invented at INI Zurich.
“It’s not an issue at all right now because nothing is in mass production,” he said, “But it could become an issue for them later, as happened with Caltech and the basic APS [Active Pixel Sensor] patent.”
Hi Fmf,

I haven't tracked down the iniLabs patents yet, so I don't know what their earliest date is or what it covers (probly filed in the name of Zurich Uni), but this is an iniVation DVS patent appliocation from 20210322:

EP4064686A1 EVENT SENSOR AND METHOD FOR PRODUCING A SIGNAL STREAM OF EVENT DATA

1692345403367.png


1692345436053.png



The invention relates to an event sensor and a method for producing a signal stream of event data in reaction to light incident on a pixel array (10) of pixels. The event sensor comprises: for each pixel of the pixel array (10) at least one photodetector (1) configured to produce a detector signal in reaction to light incident on the pixel; for each pixel or a group of the pixels a signal converter (2) connected to the photodetector (1) and configured to repeatedly produce and store digital sample values dependent on the detector signal sampled at sampling intervals; and a readout processor (4) connected to the signal converter (2). The readout processor (4) is configured: to derive a digital accumulated pixel value based on one or multiple of the sample values, wherein the accumulated pixel value corresponds to an accumulation of the detector signal over a sampling count of the sampling intervals; and to generate a pixel event of the event data dependent on the accumulated pixel value and the sampling count.

1. Event sensor comprising a pixel array (10) of pixels and configured to produce a signal stream of event data in reaction to light incident on said pixel array (10), comprising:
- for each pixel of said pixel array (10) at least one photodetector (1) configured to produce a detector signal in reaction to light incident on said pixel;
- for each pixel or a group of said pixels a signal converter (2) connected to said photodetector (1) and configured to repeatedly produce and store digital sample values dependent on said detector signal sampled at sampling intervals; and
- a readout processor (4) connected to said signal converter (2) and configured:
- to derive a digital accumulated pixel value based on one or multiple of said sample values, wherein said accumulated pixel value corresponds to an accumulation of said detector signal over a sampling count of said sampling intervals, and
- to generate a pixel event of said event data dependent on said accumulated pixel value and said sampling count
.

Prophesee have patents dating from at least 2013.

US11212470B2 Dynamic, single photodiode pixel circuit and operating method thereof

1692346266101.png




The invention relates to pixel circuit and an operating method thereof, comprising—a front-end circuit (1) comprising a single photodiode (PD) and having an output (4), said front-end circuit (1) being configured for delivering on said output a photoreceptor signal derived from a light exposure of said single photodiode (PD);—a transient detector circuit (2) configured for detecting a change in said photoreceptor signal delivered on said output (4);—an exposure measurement circuit (3) configured for measuring said photoreceptor signal delivered on said output (4) upon detection by the transient detector circuit (2) of a change in the photoreceptor signal. The invention also relates to an image sensor comprising a plurality of pixel circuits.


Here's a 2016 Brainchip patent which uses a DVS/event camera, probably from the time we were working with iniVation:
US2017236027A1 INTELLIGENT BIOMORPHIC SYSTEM FOR PATTERN RECOGNITION WITH AUTONOMOUS VISUAL FEATURE EXTRACTION

1692344993863.png


Embodiments of the present invention provide a hierarchical arrangement of one or more artificial neural networks for recognizing visual feature pattern extraction and output labeling. The system comprises a first spiking neural network and a second spiking neural network. The first spiking neural network is configured to autonomously learn complex, temporally overlapping visual features arising in an input pattern stream. Competitive learning is implemented as spike time dependent plasticity with lateral inhibition in the first spiking neural network. The second spiking neural network is connected by means of dynamic synapses with the first spiking neural network, and is trained for interpreting and labeling output data of the first spiking neural network. Additionally, the output of the second spiking neural network is transmitted to a computing device, such as a CPU for post processing.

We are only using the DVS. We did not have any inventive input to the camera, but I'm sure the company is aware of the potential litigation for Prophesee.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Hopefully a concerned shareholder asked Tony a question about "when the bus is scheduled to leave" for podcast part 2🫢
Just pick me up and throw me in a seat up the front somewhere. I don't take up much room these days.

2vgx2j.jpeg
 
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Hi Fmf,

I haven't tracked down the iniLabs patents yet, so I don't know what their earliest date is or what it covers (probly filed in the name of Zurich Uni), but this is an iniVation DVS patent appliocation from 20210322:

EP4064686A1 EVENT SENSOR AND METHOD FOR PRODUCING A SIGNAL STREAM OF EVENT DATA

View attachment 42313

View attachment 42314


The invention relates to an event sensor and a method for producing a signal stream of event data in reaction to light incident on a pixel array (10) of pixels. The event sensor comprises: for each pixel of the pixel array (10) at least one photodetector (1) configured to produce a detector signal in reaction to light incident on the pixel; for each pixel or a group of the pixels a signal converter (2) connected to the photodetector (1) and configured to repeatedly produce and store digital sample values dependent on the detector signal sampled at sampling intervals; and a readout processor (4) connected to the signal converter (2). The readout processor (4) is configured: to derive a digital accumulated pixel value based on one or multiple of the sample values, wherein the accumulated pixel value corresponds to an accumulation of the detector signal over a sampling count of the sampling intervals; and to generate a pixel event of the event data dependent on the accumulated pixel value and the sampling count.

1. Event sensor comprising a pixel array (10) of pixels and configured to produce a signal stream of event data in reaction to light incident on said pixel array (10), comprising:
- for each pixel of said pixel array (10) at least one photodetector (1) configured to produce a detector signal in reaction to light incident on said pixel;
- for each pixel or a group of said pixels a signal converter (2) connected to said photodetector (1) and configured to repeatedly produce and store digital sample values dependent on said detector signal sampled at sampling intervals; and
- a readout processor (4) connected to said signal converter (2) and configured:
- to derive a digital accumulated pixel value based on one or multiple of said sample values, wherein said accumulated pixel value corresponds to an accumulation of said detector signal over a sampling count of said sampling intervals, and
- to generate a pixel event of said event data dependent on said accumulated pixel value and said sampling count
.

Prophesee have patents dating from at least 2013.

US11212470B2 Dynamic, single photodiode pixel circuit and operating method thereof

View attachment 42316



The invention relates to pixel circuit and an operating method thereof, comprising—a front-end circuit (1) comprising a single photodiode (PD) and having an output (4), said front-end circuit (1) being configured for delivering on said output a photoreceptor signal derived from a light exposure of said single photodiode (PD);—a transient detector circuit (2) configured for detecting a change in said photoreceptor signal delivered on said output (4);—an exposure measurement circuit (3) configured for measuring said photoreceptor signal delivered on said output (4) upon detection by the transient detector circuit (2) of a change in the photoreceptor signal. The invention also relates to an image sensor comprising a plurality of pixel circuits.


Here's a 2016 Brainchip patent which uses a DVS/event camera, probably from the time we were working with iniVation:
US2017236027A1 INTELLIGENT BIOMORPHIC SYSTEM FOR PATTERN RECOGNITION WITH AUTONOMOUS VISUAL FEATURE EXTRACTION

View attachment 42312

Embodiments of the present invention provide a hierarchical arrangement of one or more artificial neural networks for recognizing visual feature pattern extraction and output labeling. The system comprises a first spiking neural network and a second spiking neural network. The first spiking neural network is configured to autonomously learn complex, temporally overlapping visual features arising in an input pattern stream. Competitive learning is implemented as spike time dependent plasticity with lateral inhibition in the first spiking neural network. The second spiking neural network is connected by means of dynamic synapses with the first spiking neural network, and is trained for interpreting and labeling output data of the first spiking neural network. Additionally, the output of the second spiking neural network is transmitted to a computing device, such as a CPU for post processing.

We are only using the DVS. We did not have any inventive input to the camera, but I'm sure the company is aware of the potential litigation for Prophesee.
Hi D

Agree not so much about us and suggest you right about Zurich given the excerpt below. Don't think Inivation implying anything on their behalf, more so a general sense or possibility from others.

"....has long been contention about whether the Prophesee camera is too similar to earlier designs, particularly those invented at INI Zurich."

Be nice to have a bet each way and be doing something with Inivation as well haha
 
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TECH

Regular
Good evening all,

I don't think I'll get into trouble for sharing this, but I consider Peter a friend, he is a great guy, dedicated to seeing our company
succeed, working long hours, making himself available for the team is just part of his day, next week he heads off to Toulouse, France to
oversee work on MetaTF 2.0.

We are so lucky to have such a great team back in Perth, with Valentina and Tony holding the fort, allowing Peter to travel to the US to
help out with Akida 2.0 design work etc (he's really enjoyed being there) to now be heading off to France to oversee things there.

It's the stuff that goes on behind the scenes, the stuff that isn't readily visible, maybe I'll get into trouble for sharing this, but I love our
company, we will succeed, why, because of the Founder/ Co-Founder and all our staff, we are a professional operation now, circled by
great individuals with fantastic life values...today's Podcast reconfirmed my belief companies have tested the waters elsewhere, and
realized that BrainChip is the real deal, the three "P's"....Performance, Power and Price...we nail all three, listen to Antonio carefully, the
customers/potential customers are starting to realize who the real leaders are in the race to the edge.

Honesty, Integrity and of course revolutionary technology will always triumph.

Love Brainchip 💞 Tech.
 
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Zedjack33

Regular
Good evening all,

I don't think I'll get into trouble for sharing this, but I consider Peter a friend, he is a great guy, dedicated to seeing our company
succeed, working long hours, making himself available for the team is just part of his day, next week he heads off to Toulouse, France to
oversee work on MetaTF 2.0.

We are so lucky to have such a great team back in Perth, with Valentina and Tony holding the fort, allowing Peter to travel to the US to
help out with Akida 2.0 design work etc (he's really enjoyed being there) to now be heading off to France to oversee things there.

It's the stuff that goes on behind the scenes, the stuff that isn't readily visible, maybe I'll get into trouble for sharing this, but I love our
company, we will succeed, why, because of the Founder/ Co-Founder and all our staff, we are a professional operation now, circled by
great individuals with fantastic life values...today's Podcast reconfirmed my belief companies have tested the waters elsewhere, and
realized that BrainChip is the real deal, the three "P's"....Performance, Power and Price...we nail all three, listen to Antonio carefully, the
customers/potential customers are starting to realize who the real leaders are in the race to the edge.

Honesty, Integrity and of course revolutionary technology will always triumph.

Love Brainchip 💞 Tech.
So if Mr Peter is heading over to help with design work, is B Chip missing the timeline of this quarter?

Asking for a friend.
 
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I always wonder, like the chicken & egg, what came first?

With Teksun, I see they have Edge Impulse, Megachips, Renesas and of course us as partners (and some other notable like Qualcomm, AWS, Google Cloud).

Did Teksun approach us, us them or a mutual intro by one of our connected partners?

I find it interesting or read odd, that BRN is listed under a semiconductor partner like Qualcomm and Renesas whilst Megachips is AI :unsure:

 
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Mt09

Regular
Good evening all,

I don't think I'll get into trouble for sharing this, but I consider Peter a friend, he is a great guy, dedicated to seeing our company
succeed, working long hours, making himself available for the team is just part of his day, next week he heads off to Toulouse, France to
oversee work on MetaTF 2.0.

We are so lucky to have such a great team back in Perth, with Valentina and Tony holding the fort, allowing Peter to travel to the US to
help out with Akida 2.0 design work etc (he's really enjoyed being there) to now be heading off to France to oversee things there.

It's the stuff that goes on behind the scenes, the stuff that isn't readily visible, maybe I'll get into trouble for sharing this, but I love our
company, we will succeed, why, because of the Founder/ Co-Founder and all our staff, we are a professional operation now, circled by
great individuals with fantastic life values...today's Podcast reconfirmed my belief companies have tested the waters elsewhere, and
realized that BrainChip is the real deal, the three "P's"....Performance, Power and Price...we nail all three, listen to Antonio carefully, the
customers/potential customers are starting to realize who the real leaders are in the race to the edge.

Honesty, Integrity and of course revolutionary technology will always triumph.

Love Brainchip 💞 Tech.
Fingers crossed the design work for meta tf 2.0 is complete, and Peter is going over to dot the i’s before the go switch is flicked.
 
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Zedjack33

Regular
Fingers crossed the design work for meta tf 2.0 is complete, and Peter is going over to dot the i’s before the go switch is flicked.
Yep. Fingers crossed. Cos that’s all we got.
 
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Makeme 2020

Regular
Good evening all,

I don't think I'll get into trouble for sharing this, but I consider Peter a friend, he is a great guy, dedicated to seeing our company
succeed, working long hours, making himself available for the team is just part of his day, next week he heads off to Toulouse, France to
oversee work on MetaTF 2.0.

We are so lucky to have such a great team back in Perth, with Valentina and Tony holding the fort, allowing Peter to travel to the US to
help out with Akida 2.0 design work etc (he's really enjoyed being there) to now be heading off to France to oversee things there.

It's the stuff that goes on behind the scenes, the stuff that isn't readily visible, maybe I'll get into trouble for sharing this, but I love our
company, we will succeed, why, because of the Founder/ Co-Founder and all our staff, we are a professional operation now, circled by
great individuals with fantastic life values...today's Podcast reconfirmed my belief companies have tested the waters elsewhere, and
realized that BrainChip is the real deal, the three "P's"....Performance, Power and Price...we nail all three, listen to Antonio carefully, the
customers/potential customers are starting to realize who the real leaders are in the race to the edge.

Honesty, Integrity and of course revolutionary technology will always triumph.

Love Brainchip 💞 Tech.
Please explain.
 
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equanimous

Norse clairvoyant shapeshifter goddess
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