BrainChip + Edge Impulse

uiux

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"Organizations are understanding more and more the importance of implementing machine learning capabilities within their products to turn them into the ‘smart' devices that consumers are clamoring for," said Zach Shelby, CEO and co-founder at Edge Impulse. "By integrating solutions, such as deploying BrainChip's neuromorphic IP with our ML platform, developers and enterprise customers are empowered to build advanced machine learning solutions quickly and efficiently so that they are well-positioned as leaders within their respective markets."

BrainChip deploys AI at the edge in a way that existing technologies cannot. The company's tech is both high-performance and ultra-low power, enabling a range of capabilities including on-chip, in-device one-shot learning. BrainChip's IP can be used in a wide range of applications from consumer electronics to industrial IoT to electric vehicles, and smart sensors that can detect and act on visual features, odors, taste, touch, and sound.

"Partnering with Edge Impulse creates a unique market solution that brings their powerful and easy to use AI/ML application design platform unparalleled performance with BrainChip's silicon proven on-chip learning and ultra-low power IP," said Jerome Nadel, BrainChip CMO. "We continue to look for partnerships that will advance opportunities to enable a wide array of edge AI capabilities, such as continuous learning and real-time inference. Edge Impulse is a perfect addition to our ecosystem of providers enabling next-generation technology to markets around the world."

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"We're extremely delighted to support BrainChip's proliferation of their Akida technology," said Jan Jongboom, CTO at Edge Impulse. "The combination of BrainChip's advanced technology and Edge Impulse's industry-leading developer experience gives users an easy and seamless way for deploying ML at the edge using efficient and essential SNNs algorithms that helps the advancement of solving real-world problems of all types."


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uiux

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On Sep 29 Edge Impulse is running a workshop on using Akida:


Building Neuromorphic Models with BrainChip’s Akida

Learn how to leverage BrainChip MetaTF to convert traditional CNNs to spiking neural networks (SNNs) with ease and apply to real-world use cases.

Ability level: Beginner to advanced ML engineers

Prerequisites: Python, TensorFlow, and ML knowledge a plus

Hardware: Software simulation provided




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A few of us will have hardware available :)
 
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equanimous

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On Sep 29 Edge Impulse is running a workshop on using Akida:


Building Neuromorphic Models with BrainChip’s Akida

Learn how to leverage BrainChip MetaTF to convert traditional CNNs to spiking neural networks (SNNs) with ease and apply to real-world use cases.

Ability level: Beginner to advanced ML engineers

Prerequisites: Python, TensorFlow, and ML knowledge a plus

Hardware: Software simulation provided




---

A few of us will have hardware available :)
Hi Uiux,

Thanks for this. Could please showcase to us what you are able to do in this workshop.

A little summary from it would be much appreciated. Excited :)
 
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uiux

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Hi Uiux,

Thanks for this. Could please showcase to us what you are able to do in this workshop.

A little summary from it would be much appreciated. Excited :)

Hi Equanimous

I've got a few project's happening in edge impulse



One is related to detecting kangaroos LOL

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equanimous

Norse clairvoyant shapeshifter goddess
Hi Equanimous

I've got a few project's happening in edge impulse



One is related to detecting kangaroos LOL

View attachment 13508
Nice. Think I need to set up a cockatoo detection and waterspray system to stop them eating the rubber seals off my roof.

A rodent detection would also be useful especially with all this current rainfall again..

Thats very interesting you have multiple projects going with edge impulse, very keen to here more about them.
 
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uiux

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Nice. Think I need to set up a cockatoo detection and waterspray system to stop them eating the rubber seals off my roof.

A rodent detection would also be useful especially with all this current rainfall again..

Thats very interesting you have multiple projects going with edge impulse, very keen to here more about them.

"cockatoo detection and waterspray system"

I think you just inspired me!

I actually have been building out a sentry system (for neurosec) using the pi Moroni tilt/pan hat. This is just doing face tracking though.

I'll add cockatoo detection to my list and ill look into controlling a water squirter via GPIO pins on a raspberry pi. Sounds like fun lol.
 
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stuart888

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Hi Equanimous

I've got a few project's happening in edge impulse



One is related to detecting kangaroos LOL

View attachment 13508
For sure @uiux you have my envy and admiration. Having a development/test system like that is outstanding, especially with neural network capabilities. Wow.

The options for neural network architecture approaches to replace so many old school ways of making an inference on data is mind boggling. The first JAST video that you put up got me to fully grasp how the whole spiking temporal architecture was a solution to transform.

Thanks for all you do to help us!
 
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stuart888

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With all the talk about Gas Sensors, one of Edge Impluse's younger employees. Darn interesting 2 minute video. Very impressive young lady.



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stuart888

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The Edge Impulse CEO points out a lot of Industrial Use Cases. He mentions an embedded electric grid solution running for 10 months on one battery. Sure seems like a great relationship/partner/customer for Akida SNN IP.



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Quiltman

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Just checking in with everyone that you have been keeping an eye on the Edge Impulse - Imagine event - A conference for EdgeML.

Here is the link : https://edgeimpulse.com/imagine#imagine-schedule

Just saviour the ecosystem of businesses and presenters Edge Impulse have assembled for the event.
And remember, Edge Impulse , is actively promoting the collaboration with BrainChip, including tomorrow's event

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You can assume that these businesses and individuals have a high level of interaction.

With regards direct involvement from BrainChip we have :

1661215820627.png

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Day 3 is more of a panel/workshop day, with some interesting topics !

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Taproot

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Just checking in with everyone that you have been keeping an eye on the Edge Impulse - Imagine event - A conference for EdgeML.

Here is the link : https://edgeimpulse.com/imagine#imagine-schedule

Just saviour the ecosystem of businesses and presenters Edge Impulse have assembled for the event.
And remember, Edge Impulse , is actively promoting the collaboration with BrainChip, including tomorrow's event

View attachment 14734

You can assume that these businesses and individuals have a high level of interaction.

With regards direct involvement from BrainChip we have :

View attachment 14730
View attachment 14731

Day 3 is more of a panel/workshop day, with some interesting topics !

View attachment 14732 View attachment 14733
  • Bringing development of BrainChip Akida Neuromorphic models to all using Edge Impulse
LAGUNA HILLS, CA / ACCESSWIRE / August 22, 2022 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, and Edge Impulse, the leading development platform for machine learning (ML) on edge devices, are hosting the webinar "Bringing development of BrainChip Akida Neuromorphic models to all using Edge Impulse" August 24 at 11 a.m. PDT.
Todd Vierra, Director Customer Engagement and Nikunj Kotecha, Solutions Architect at BrainChip; and David Schwartz, User Success Engineer at Edge Impulse will provide an early look at the results of the recently announced Edge Impulse and BrainChip integration which delivers next-generation platforms to customers looking to develop products that utilize the companies' unique machine learning capabilities.
Key topics covered in the webinar include:

  • The no-code data ingestion, algorithm development, and embedded Akida deployment tools allow for rapid prototyping and validation of Edge ML algorithms with custom data.
  • Meet Akida, the leading platform that enables energy efficient, low memory, and high-performance deployments, compared with traditional CPU and accelerated AI hardware.
  • MetaTF library (via deployment option) for existing projects to be quickly converted to Akida SNN's (with the above benefits, and low-to-no-code path).
  • Quantization-aware training ensuring that models remain accurate after conversion.
  • Edge Impulse Linux CLI and its integration with the Akida runtime, which allows for rapid performance testing with real world data.
"Since announcing our partnership to accelerate AI/ML deployments with Edge Impulse in May, we have worked diligently to bring this next-generation technology to markets," said Anil Mankar, CDO of BrainChip. "We are excited to share those advancements to those joining the webinar and hope that attendees will get a better understanding of how they can use BrainChip and Edge Impulse to build and deploy advanced ML solutions quickly and easily."
 
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stuart888

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Edge Impulse TinyML Tech Lead. This guy is really sharp. I saw him on a TinyML panel video and he was the star of the show.

Solid podcast for listening ears, not for watching. Great for listening while cooking or whatever.

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stan9614

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  • Bringing development of BrainChip Akida Neuromorphic models to all using Edge Impulse
LAGUNA HILLS, CA / ACCESSWIRE / August 22, 2022 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, and Edge Impulse, the leading development platform for machine learning (ML) on edge devices, are hosting the webinar "Bringing development of BrainChip Akida Neuromorphic models to all using Edge Impulse" August 24 at 11 a.m. PDT.
Todd Vierra, Director Customer Engagement and Nikunj Kotecha, Solutions Architect at BrainChip; and David Schwartz, User Success Engineer at Edge Impulse will provide an early look at the results of the recently announced Edge Impulse and BrainChip integration which delivers next-generation platforms to customers looking to develop products that utilize the companies' unique machine learning capabilities.
Key topics covered in the webinar include:

  • The no-code data ingestion, algorithm development, and embedded Akida deployment tools allow for rapid prototyping and validation of Edge ML algorithms with custom data.
  • Meet Akida, the leading platform that enables energy efficient, low memory, and high-performance deployments, compared with traditional CPU and accelerated AI hardware.
  • MetaTF library (via deployment option) for existing projects to be quickly converted to Akida SNN's (with the above benefits, and low-to-no-code path).
  • Quantization-aware training ensuring that models remain accurate after conversion.
  • Edge Impulse Linux CLI and its integration with the Akida runtime, which allows for rapid performance testing with real world data.
"Since announcing our partnership to accelerate AI/ML deployments with Edge Impulse in May, we have worked diligently to bring this next-generation technology to markets," said Anil Mankar, CDO of BrainChip. "We are excited to share those advancements to those joining the webinar and hope that attendees will get a better understanding of how they can use BrainChip and Edge Impulse to build and deploy advanced ML solutions quickly and easily."
did you guys register?i registered and it asks for pass code to watch, but i did not receive any passcode
 
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dippY22

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did you guys register?i registered and it asks for pass code to watch, but i did not receive any passcode
It was included near the top of the email Edge sent you after you signed up or registered to attend.
 
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JK200SX

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Has anyone recorded the webinar?
 
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The Edge Impulse CEO points out a lot of Industrial Use Cases. He mentions an embedded electric grid solution running for 10 months on one battery. Sure seems like a great relationship/partner/customer for Akida SNN IP.



View attachment 14170

Hi Stuart.

Good video to watch although I need to correct you where you said 10 months on a single battery. He actually said “Ten years!”

Wow, blew my socks off!

Cheers
 
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Zedjack33

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stuart888

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Everyone knows there is some complexity in the TinyML Edge Microprocessor Workflow. Here is the Edge Impulse ML Lead on the whole process of putting solutions in millions of edge devices, of course that learn on their own.

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stuart888

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stuart888

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