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equanimous

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Mercedes will need alot of power saving in this model

 
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Beebo

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Anyone else having trouble viewing the white paper beyond Chapter 2?
 
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Pmel

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charles2

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Holiday.....fooled me.
 
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IloveLamp

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Holiday.....fooled me.
Waiting for market open like......
happy-confused.gif
 
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Diogenese

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Diogenese

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Esq.111

Fascinatingly Intuitive.
Good Morning Chippers,

Listend to both of these radio podcasts and found them to be very informative .

The first podcast has a section on high frequency trading about half way through , although whole session is amazing.

Podcast : RADIOLAB | SPEED
5th March 2022
Time: 56:20.

The second podcast I heard on Saturday evening radio.
For some reason when I looked it up this morning it was unavailable pressently.
Talk was about random particles from outer space , and how thay can flip the switches in microchips, thus affecting anything which has a chip in it , from ballot voting machines to planes to cars. All very amazing and informative.
THIS IS WHERE OUR RAD HARDEND CHIPS COME INTO PLAY.

* RADIOLAB | BIT FLIP
Series 6, Episode 8 of 8.

If a savvy Chipper could post link to both , much appreciated.

Great way to kill a little time on a public holiday.

Regards,
Esq.
 
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Esq.111

Fascinatingly Intuitive.
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So, just having a deeper look at the recent CVEDIA partnership to try understand it a bit better.

From the release blurb, if I understand it correctly, the objective is to integrate and package CVEDIA RT & AKIDA into one deployable package on the users "chosen platform".

Happy to be corrected if I misunderstand?

Release snippets below and then something from CVEDIA website I find interesting.

I'm wondering, that if given the CVEDIA support for these various "platforms" they work with, if the package of CVEDIA & AKIDA combined will be a package that can be implemented quite easily without any additional integration or testing work?

If so, imo could open a bunch of different side doors to some specific names via the video analytics and easier training via their "synthetic data" solution if that's part of the mandate.

Thoughts?

Other source page links below.


The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.

“We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”


Synthetic data for Computer Vision.​

Synthetic data is a new technology in AI that solves the problem of collecting and labeling training data for computer vision models. Synthetic data is generated or rendered using 3D models instead of collecting real data, making it a faster and more flexible solution. This data is similar to how Hollywood creates animations, and the 3D models describe the size, shape, and appearance of objects for a computer to visualize. Despite the benefits of synthetic data, there is still some debate on whether it is always better than real data and how it affects AI bias and privacy. However, synthetic data can be used to validate AI models and is a good solution to manage the cost and scale of data collection.


CVEDIA-RT Logo

Version2023.3.0
DateJune 02 2023
Release noteslink
CHOOSE YOUR PLATFORM
NVIDIA-Jetson
Download
Ambarella
Download
Windows
Download
Linux
Download


CHIPSETS

NVIDIA CVFLOW Movidius Hailo Snapdragon Rockchip Arm
Sigmastar
Blaize


CLOUD



 
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buena suerte :-)

BOB Bank of Brainchip
Morning Buena suerte:) ,

The second link works but the first one is not right.

Thankyou for your efforts

Regards ,
Esq.
No worries I'll have a look!!
 
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buena suerte :-)

BOB Bank of Brainchip
Morning Buena suerte:) ,

The second link works but the first one is not right.

Thankyou for your efforts

Regards ,
Esq.
Is this the one Esq?

 
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Esq.111

Fascinatingly Intuitive.
Is this the one Esq?

Afternoon Buena suerte:),

No unfortunately.

RADIOLAB | Bit flip,
Series 6, Episode 8 of 8.

Was all about space particles entering our atmosphere and penitrating computer chips, and in turn flipping the tiny switches in them to give false results.
There was a section on automobils where the chips were inflicted / hit by such particles forcing the accelerator on.
Toyota had a huge liability / compensation payout as a result.
But the thing which caught my attention was , to compensate this event happening most systems required two to three chips at each critical point doing the same function .
I belive this is another application for our RAD Hardend chips , not just space & millitary applications.

I shall try and locate this article at a later date as it was very interesting and relevant to us.

Thankyou once again.

Regards,
Esq.
 
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hotty4040

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I’ve had puff-balls for years




Unfortunately
One day ttm, you could perhaps, take them ' Tothemoon ' in 24, now that's next year. Not long to wait.
Of course, they'd have to withstand the excessive ' G ' forces. A "G string" could possibly help in that regard, or maybe the female co-pilot ...... ;) might assist. If you arksed her nicely.

I suffer that same complaint too on occasions. It pays, not to be complaisant, when you can.

Akida ( G-FORCE ) Ballista ( to the moon ) and back hopefully.

gltah

hotty...
 
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Diogenese

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So, just having a deeper look at the recent CVEDIA partnership to try understand it a bit better.

From the release blurb, if I understand it correctly, the objective is to integrate and package CVEDIA RT & AKIDA into one deployable package on the users "chosen platform".

Happy to be corrected if I misunderstand?

Release snippets below and then something from CVEDIA website I find interesting.

I'm wondering, that if given the CVEDIA support for these various "platforms" they work with, if the package of CVEDIA & AKIDA combined will be a package that can be implemented quite easily without any additional integration or testing work?

If so, imo could ooen a bunch of different side doors to some specific names via the video analytics and easier training via their "synthetic data" solution if that's part of the mandate.

Thoughts?

Other source page links below.


The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.

“We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”


Synthetic data for Computer Vision.​

Synthetic data is a new technology in AI that solves the problem of collecting and labeling training data for computer vision models. Synthetic data is generated or rendered using 3D models instead of collecting real data, making it a faster and more flexible solution. This data is similar to how Hollywood creates animations, and the 3D models describe the size, shape, and appearance of objects for a computer to visualize. Despite the benefits of synthetic data, there is still some debate on whether it is always better than real data and how it affects AI bias and privacy. However, synthetic data can be used to validate AI models and is a good solution to manage the cost and scale of data collection.


CVEDIA-RT Logo

Version2023.3.0
DateJune 02 2023
Release noteslink
CHOOSE YOUR PLATFORM
NVIDIA-Jetson
Download
Ambarella
Download
Windows
Download
Linux
Download


CHIPSETS

NVIDIA CVFLOW Movidius Hailo Snapdragon Rockchip Arm
Sigmastar
Blaize


CLOUD



Hi Fmf,

Cvedia have algorithms and models, which are basically software/data.

Their models could be deployed on Akida. This would require conversion to Akida-friendly format.

Remembering that Akida is processor agnostic, the algorithms could be deployed on whatever processor Akida is integrated with.

Akida needs a co-processor for configuration, the original version used an ARN cortex processor, but Akida can be used with any processor (SiFive, Intel, Nvidia, ...)

I note Cvedia list Hailo and Qualcomm as suitable processors for deploying their products. I recall seeing a figure of 2.5 W for Hailo.
 
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buena suerte :-)

BOB Bank of Brainchip
Afternoon Buena suerte:),

No unfortunately.

RADIOLAB | Bit flip,
Series 6, Episode 8 of 8.

Was all about space particles entering our atmosphere and penitrating computer chips, and in turn flipping the tiny switches in them to give false results.
There was a section on automobils where the chips were inflicted / hit by such particles forcing the accelerator on.
Toyota had a huge liability / compensation payout as a result.
But the thing which caught my attention was , to compensate this event happening most systems required two to three chips at each critical point doing the same function .
I belive this is another application for our RAD Hardend chips , not just space & millitary applications.

I shall try and locate this article at a later date as it was very interesting and relevant to us.

Thankyou once again.

Regards,
Esq.
 
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