BRN Discussion Ongoing

[Rise from the ashes]

Missing children? New cars in Australia with back seat alerts

From 2023, ANCAP’s new safety criteria will test 'child presence detection' systems – aimed at preventing tragic deaths caused by children being left in hot cars.

www.drive.com.au

 

[Deadpool]

Pending no more dilution, $16 billion market cap would give us a price over $9.

Edit:

Let's round it up to $10 please.

 

[Deadpool]

Let's round it up to $10 please.

I actually preferer $20 by next Xmas, if this can be arranged it would be gratefully appreciated

 

[Mccabe84]

Let's round it up to $10 please.

$10 dollars by the end of next year

 

[buena suerte :-)]

$10 dollars by the end of next year

Very likely ....

 

[Rise from the ashes]

https://www.google.com/url?sa=t&source=web&rct=j&url=https://scholar.google.com.au/scholar_url%3Furl%3Dhttps://www.researchgate.net/profile/Konstantinos-Demertzis/publication/318822219_A_Spiking_One-Class_Anomaly_Detection_Framework_for_Cyber-Security_on_Industrial_Control_Systems/links/59b50cf7a6fdcc3f88985786/A-Spiking-One-Class-Anomaly-Detection-Framework-for-Cyber-Security-on-Industrial-Control-Systems.pdf%26hl%3Den%26sa%3DX%26ei%3DmrJXY5_FD-eR6rQPiJWq0AE%26scisig%3DAAGBfm3oPnvabk5gIq1JVy3yPMmhgGZ5Ig%26oi%3Dscholarr&ved=2ahUKEwiq2_nHjvv6AhWT9zgGHazOBN8QgAN6BAguEAI&usg=AOvVaw0L3cKh7umiik-myp50lcEx

 

[Rise from the ashes]

https://www.google.com/url?sa=t&source=web&rct=j&url=https://scholar.google.com.au/scholar_url%3Furl%3Dhttps://www.researchgate.net/profile/Konstantinos-Demertzis/publication/318822219_A_Spiking_One-Class_Anomaly_Detection_Framework_for_Cyber-Security_on_Industrial_Control_Systems/links/59b50cf7a6fdcc3f88985786/A-Spiking-One-Class-Anomaly-Detection-Framework-for-Cyber-Security-on-Industrial-Control-Systems.pdf%26hl%3Den%26sa%3DX%26ei%3DmrJXY5_FD-eR6rQPiJWq0AE%26scisig%3DAAGBfm3oPnvabk5gIq1JVy3yPMmhgGZ5Ig%26oi%3Dscholarr&ved=2ahUKEwiq2_nHjvv6AhWT9zgGHazOBN8QgAN6BAguEAI&usg=AOvVaw0L3cKh7umiik-myp50lcEx

https://www.google.com/url?sa=t&source=web&rct=j&url=https://scholar.google.com.au/scholar_url%3Furl%3Dhttps://utopia.duth.gr/~liliadis/img/papers/SmG.pdf%26hl%3Den%26sa%3DX%26ei%3DmrJXY5_FD-eR6rQPiJWq0AE%26scisig%3DAAGBfm162oFPtayVN67yJUjsrwqunTzs9w%26oi%3Dscholarr&ved=2ahUKEwiq2_nHjvv6AhWT9zgGHazOBN8QgAN6BAguEAE&usg=AOvVaw1hgknLGDgCEE9PECEhwPaO

 

[buena suerte :-)]

https://www.google.com/url?sa=t&source=web&rct=j&url=https://scholar.google.com.au/scholar_url%3Furl%3Dhttps://utopia.duth.gr/~liliadis/img/papers/SmG.pdf%26hl%3Den%26sa%3DX%26ei%3DmrJXY5_FD-eR6rQPiJWq0AE%26scisig%3DAAGBfm162oFPtayVN67yJUjsrwqunTzs9w%26oi%3Dscholarr&ved=2ahUKEwiq2_nHjvv6AhWT9zgGHazOBN8QgAN6BAguEAE&usg=AOvVaw1hgknLGDgCEE9PECEhwPaO

Nice to see your posting some easy reading Rise !!!!

 

[Sirod69]

Denken Sie daran, es ist 4C Woche.

Die dritte 4C-Woche im ersten Kommerzialisierungsjahr von Brainchip.

Die Spannung baut sich natürlich auf, sogar Blind Freddie lachte nicht, als ich ihm die Zahnpasta verkehrt herum reichte und er alles auf die Innenmanschette seiner Lieblings-Satin-Smokingjacke spritzte.

Es gibt nur eine Sache, an die wir uns erinnern sollten, dass wir alle bereit sind, mit diesem 4C weitere kommerzielle Traktion zu beweisen.

Wir alle wissen, dass es so sein wird, aber wir alle tragen diese kleine Person namens Zweifel auf unserer Schulter, die uns ins Ohr flüstert und versucht, unser Vertrauen und unsere Überzeugung in die bekannten FAKTEN aus massivem Gold zu untergraben:

1. Die AKIDA-Technologie ist revolutionär und

2. Weltweit bedeutende Akteure in der Automobil-, Sensor-, Verteidigungs-, Raumfahrt-, Halbleiter- und Medizinindustrie haben dies bemerkt.

Die Frage ist also nicht, ob Brainchip ein kommerzieller Erfolg wird, sondern wann.

Also wie Blind Freddie, entspannen Sie sich, wischen Sie die Zahnpasta vom Ärmel, ziehen Sie eine saubere Samtjacke und einen Fez an und lehnen Sie sich in Ihrem Ledersessel zurück und lesen Sie das Wall Street Journal und träumen Sie.

Meine Meinung nur DYOR
FF

AKIDA-BALLISTA

I am ready

 

[FJ-215]

I love BRN but damn, some of you need a wake up call. PLS are riding the lithium wave, their share price has gone nuts because they are selling a shed load of product at a huge premium and have a bank balance that would make a drug lord weep.

They have customers
They have sales
They have revenue
They have a clear road map for future earnings....

BRN just aren't there yet, wish we were but we not.

Our time will come, might have to wait a bit is all.


Sorry, bit cranky.

 

[buena suerte :-)]

BRN.....

They have customers
They have sales
They have increasing revenue
They have a clear road map for future earnings....

We are VERY close FJ

 

[Sirod69]

More range and fewer security risks
Valeo enters into cooperation for new battery cooling method
TotalEnergies and Valeo have announced a collaboration dedicated to cooling batteries in electric vehicles. With a new method, the partners want to achieve an improvement in range and an optimized reduction in CO2.

Valeo kooperiert für neue Batteriekühlungsmethode

TotalEnergies und Valeo arbeiten gemeinsam an einer optimierten Kühlung und Reichweitenverbesserung von Batterien in Elektrofahrzeugen.

www.automobil-produktion.de

 

[alwaysgreen]

I love BRN but damn, some of you need a wake up call. PLS are riding the lithium wave, their share price has gone nuts because they are selling a shed load of product at a huge premium and have a bank balance that would make a drug lord weep.

They have customers
They have sales
They have revenue
They have a clear road map for future earnings....

BRN just aren't there yet, wish we were but we not.

Our time will come, might have to wait a bit is all.


Sorry, bit cranky.

What's the point of life if you don't have dreams?

 

[Sirod69]

Photo gallery: Visit to the Mondial de l'Auto 2022:
Valeo and its visions for the future
10/24/2022 Editorial (general)
The French automotive supplier Valeo had one of the largest stands at the Paris Motor Show as part of the Automotive Week there: Opposite Stellantis in Hall 4, the megatrends of sustainable mobility were on display.

Fotostrecke: Besuch auf der Mondial de l'Auto 2022: Valeo und seine Zukunftsvisionen

Der französische Automobilzulieferer Valeo hatte auf dem Autosalon in Paris, im Rahmen der dortigen Automotive Week, einen der größten Stände: Gegenüber von Stellantis zeigte man in Halle 4 die Megatrends nachhaltiger Mobilität.

www.profi-werkstatt.net

 

[TECH]

Maybe you can read these, and form an educated opinion, your own that is, without targeting me.

Still no email has come through, step out of the darkness and enjoy the light, the truth with me.

This list has now grown to 19 Patents filed, interesting how we, Brainchip get a mention within the Patent Description.

Digimarc Corp (US)

and a new player in the mix

Giant AI INC (US)

16.HYBRID COMPUTING ARCHITECTURES WITH SPECIALIZED PROCESSORS TO ENCODE/DECODE LATENT REPRESENTATIONS FOR CONTROLLING DYNAMIC MECHANICAL SYSTEMS
WO2022212916A1 • 2022-10-06 •
GIANT AI INC [US]
Earliest priority: 2021-04-01 • Earliest publication: 2022-10-06


14.SPATIO-TEMPORAL CONSISTENCY EMBEDDINGS FROM MULTIPLE OBSERVED MODALITIES
US2022318678A1 • 2022-10-06 •
GIANT AI INC [US]
Earliest priority: 2021-04-01 • Earliest publication: 2022-10-06

19.METHODS AND ARRANGEMENTS TO AID RECYCLING
US2022331841A1 • 2022-10-20 •
DIGIMARC CORP [US]
Earliest priority: 2021-04-16 • Earliest publication: 2022-10-20

Good evening all from Perth....TECH

 

[FJ-215]

What's the point of life if you don't have dreams?

G'day AG,

Nothing wrong with dreams, it's just that sometimes we point to another company and say why them, that should be us.

PLS now have runs on the board.

We don't yet.

We will........soon.

We just can't say when soon is.

I sold a few shares earlier in the year when we tropo, keeping the rest for when we go plaid.

 

[Lex555]

NASA Announces Unidentified Aerial Phenomena Study Team Members - NASA

NASA has selected 16 individuals to participate in its independent study team on unidentified aerial phenomena (UAP). Observations of events in the sky that

www.nasa.gov

Rogan had another pilot Ryan Graves on last week describing UAP and it made me think what an opportune time to roll-out a new generation of sensors with Akida ready to activate them.

He mentioned they only started to pickup up the objects in 2014 when their instruments were updated which improved observations. Imagine what sensors like from Anduril’s to detect enemy subs in oceans could find.

 

[Diogenese]

Maybe you can read these, and form an educated opinion, your own that is, without targeting me.

Still no email has come through, step out of the darkness and enjoy the light, the truth with me.

This list has now grown to 19 Patents filed, interesting how we, Brainchip get a mention within the Patent Description.

Digimarc Corp (US)

and a new player in the mix

Giant AI INC (US)

16.HYBRID COMPUTING ARCHITECTURES WITH SPECIALIZED PROCESSORS TO ENCODE/DECODE LATENT REPRESENTATIONS FOR CONTROLLING DYNAMIC MECHANICAL SYSTEMS
WO2022212916A1 • 2022-10-06 •
GIANT AI INC [US]
Earliest priority: 2021-04-01 • Earliest publication: 2022-10-06


14.SPATIO-TEMPORAL CONSISTENCY EMBEDDINGS FROM MULTIPLE OBSERVED MODALITIES
US2022318678A1 • 2022-10-06 •
GIANT AI INC [US]
Earliest priority: 2021-04-01 • Earliest publication: 2022-10-06

19.METHODS AND ARRANGEMENTS TO AID RECYCLING
US2022331841A1 • 2022-10-20 •
DIGIMARC CORP [US]
Earliest priority: 2021-04-16 • Earliest publication: 2022-10-20

Good evening all from Perth....TECH

Thanks Tech,

As you say, Digimarc has been showing up for a while in "Brainchip" patent searches, but Giant Ai is new. This means that the patent specifications refer to Brainchip, but it is not a real endorsement. Rather it is just cited in a grocery list of ML accelerators:

WO2022212916A1 HYBRID COMPUTING ARCHITECTURES WITH SPECIALIZED PROCESSORS TO ENCODE/DECODE LATENT REPRESENTATIONS FOR CONTROLLING DYNAMIC MECHANICAL SYSTEMS

[00115] ... One or more of the upstream, intermediate (or downstream) encoders may be implemented within one or more hardware ML Accelerators like, but not limited to, Movidius chips, tensorflow edge compute devices, Nvidia Drive PX and Jetson TX1/TX2 Module, Intel Nervana processors, Mobileye EyeQ processors, Habana processors, Qualcomm’s Cloud All 00 processors and SoC AI engines, IBM’s TrueNorth processors, NXP’s S32V234 and S32 chips, AWS Inferentia chips, Microsoft Brainwaive chips, Apple’s Neural Engine, ARM’s Project Trillium based processors, Cerebras’s processors, Graphcore processors, PEZY Computing processors, Tenstorrent processors, Blaize processors, Adapteva processors, Mythic processors, Kalray’s Massively Parallel Processor Array, BrainChip’s spiking neural network processors, Almotiv’s neural network acceleration core, Hailo-8 processors, and various neural network processing units from other vendors. Different ones of these ML Accelerators may be used to implement different ones of the aforementioned models upon sensor data (or upstream encoder output data), such as based on matching of model performance on a given accelerator for given sensor output.

Putting the best face on this means that, as far as Giant Ai is concerned, Brainchip's spiking neural network processor is well known to the person skilled in the art, and requires no further description.

They use the term "hybrid" to describe a combination of sensor and ML processing capability on a single chip:

[0020] To mitigate these issues, some embodiments may implement a hybrid architecture in which subsets of sensors of a controlled dynamic mechanical system, like one or more sensors or each of a plurality of sensors, have outputs coupled to a hardware machine- learning accelerator for performing some or all of a pipeline of operations by which inferences (e.g., about system state, environment, action, etc.) are implemented to support control of the dynamic mechanical system. For example, some embodiments of robots and other controlled dynamic mechanical systems described herein may include a plurality of sensors of a modular system hardware design such that each sensor (or a grouping of sensors) is coupled (directly, in some examples) with special-purpose chipsets for performing a space (e.g., like a sub-space or latent-space) or other encoding of sensor data prior to downstream digestion by a higher-level component or model of the system.

 

[TECH]

Thanks Tech,

As you say, Digimarc has been showing up for a while in "Brainchip" patent searches, but Giant Ai is new. This means that the patent specifications refer to Brainchip, but it is not a real endorsement. Rather it is just cited in a grocery list of ML accelerators:

WO2022212916A1 HYBRID COMPUTING ARCHITECTURES WITH SPECIALIZED PROCESSORS TO ENCODE/DECODE LATENT REPRESENTATIONS FOR CONTROLLING DYNAMIC MECHANICAL SYSTEMS

[00115] ... One or more of the upstream, intermediate (or downstream) encoders may be implemented within one or more hardware ML Accelerators like, but not limited to, Movidius chips, tensorflow edge compute devices, Nvidia Drive PX and Jetson TX1/TX2 Module, Intel Nervana processors, Mobileye EyeQ processors, Habana processors, Qualcomm’s Cloud All 00 processors and SoC AI engines, IBM’s TrueNorth processors, NXP’s S32V234 and S32 chips, AWS Inferentia chips, Microsoft Brainwaive chips, Apple’s Neural Engine, ARM’s Project Trillium based processors, Cerebras’s processors, Graphcore processors, PEZY Computing processors, Tenstorrent processors, Blaize processors, Adapteva processors, Mythic processors, Kalray’s Massively Parallel Processor Array, BrainChip’s spiking neural network processors, Almotiv’s neural network acceleration core, Hailo-8 processors, and various neural network processing units from other vendors. Different ones of these ML Accelerators may be used to implement different ones of the aforementioned models upon sensor data (or upstream encoder output data), such as based on matching of model performance on a given accelerator for given sensor output.

Putting the best ace on this means that, as far as Giant Ai is concerned, Brainchip's spiking neural network processor is well known to the person skilled in the art, and requires no further description.

They use the term "hybrid" to describe a combination of sensor and ML processing capability on a single chip:

View attachment 20011
[0020] To mitigate these issues, some embodiments may implement a hybrid architecture in which subsets of sensors of a controlled dynamic mechanical system, like one or more sensors or each of a plurality of sensors, have outputs coupled to a hardware machine- learning accelerator for performing some or all of a pipeline of operations by which inferences (e.g., about system state, environment, action, etc.) are implemented to support control of the dynamic mechanical system. For example, some embodiments of robots and other controlled dynamic mechanical systems described herein may include a plurality of sensors of a modular system hardware design such that each sensor (or a grouping of sensors) is coupled (directly, in some examples) with special-purpose chipsets for performing a space (e.g., like a sub-space or latent-space) or other encoding of sensor data prior to downstream digestion by a higher-level component or model of the system.

At least we are being recognized, as a potential supplier of IP or future partner or whatever.

Go back a few years, Brainchip who? Peter Van who? Akida, oh yes, that Japanese dog (of a stock)

 

[Fact Finder]

Thanks Tech,

As you say, Digimarc has been showing up for a while in "Brainchip" patent searches, but Giant Ai is new. This means that the patent specifications refer to Brainchip, but it is not a real endorsement. Rather it is just cited in a grocery list of ML accelerators:

WO2022212916A1 HYBRID COMPUTING ARCHITECTURES WITH SPECIALIZED PROCESSORS TO ENCODE/DECODE LATENT REPRESENTATIONS FOR CONTROLLING DYNAMIC MECHANICAL SYSTEMS

[00115] ... One or more of the upstream, intermediate (or downstream) encoders may be implemented within one or more hardware ML Accelerators like, but not limited to, Movidius chips, tensorflow edge compute devices, Nvidia Drive PX and Jetson TX1/TX2 Module, Intel Nervana processors, Mobileye EyeQ processors, Habana processors, Qualcomm’s Cloud All 00 processors and SoC AI engines, IBM’s TrueNorth processors, NXP’s S32V234 and S32 chips, AWS Inferentia chips, Microsoft Brainwaive chips, Apple’s Neural Engine, ARM’s Project Trillium based processors, Cerebras’s processors, Graphcore processors, PEZY Computing processors, Tenstorrent processors, Blaize processors, Adapteva processors, Mythic processors, Kalray’s Massively Parallel Processor Array, BrainChip’s spiking neural network processors, Almotiv’s neural network acceleration core, Hailo-8 processors, and various neural network processing units from other vendors. Different ones of these ML Accelerators may be used to implement different ones of the aforementioned models upon sensor data (or upstream encoder output data), such as based on matching of model performance on a given accelerator for given sensor output.

Putting the best ace on this means that, as far as Giant Ai is concerned, Brainchip's spiking neural network processor is well known to the person skilled in the art, and requires no further description.

They use the term "hybrid" to describe a combination of sensor and ML processing capability on a single chip:

View attachment 20011
[0020] To mitigate these issues, some embodiments may implement a hybrid architecture in which subsets of sensors of a controlled dynamic mechanical system, like one or more sensors or each of a plurality of sensors, have outputs coupled to a hardware machine- learning accelerator for performing some or all of a pipeline of operations by which inferences (e.g., about system state, environment, action, etc.) are implemented to support control of the dynamic mechanical system. For example, some embodiments of robots and other controlled dynamic mechanical systems described herein may include a plurality of sensors of a modular system hardware design such that each sensor (or a grouping of sensors) is coupled (directly, in some examples) with special-purpose chipsets for performing a space (e.g., like a sub-space or latent-space) or other encoding of sensor data prior to downstream digestion by a higher-level component or model of the system.

Very recently meaning last day or so in one of the company presentations and I have a feeling it was one by Peter van der Made it specifically referenced an involvement with a robotics project???

“some embodiments of robots and other controlled dynamic mechanical systems described herein may include a plurality of sensors of a modular system hardware design such that each sensor (or a grouping of sensors) is coupled (directly, in some examples) with special-purpose chipsets for performing a space”

My opinion only DYOR
FF

AKIDA BALLISTA