I agree Bravo. Brainchip has done numerous of podcasts and interviews including with Qualcomm. I don't see any company's making podcasts with competitors.
You don't see podcasts with Mercedes and Ferrari talking together, Nestle with Cadbury, Nescafe with Moconna.
SO it's reasonable and logical to believe the podcasts generated by Brainchip have a indirect (for now) benefit to both the interviewer and interviewee.
Amen.
What’s stopping Qualcomm stopping edge impulse using us? Especially if we are a competitor
www.youtube.com
I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
www.edgeimpulse.com
edgeimpulse.com
“Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers.”I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
Good post FMF, taI guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
IMO.... I think that Qualcomm knew all along as did Edge Impulse, that BrainChip as a Co and its technology wasn't up for sale nor any takeover target at any cost. Accordingly, imo Qualcomm knew quite well, that Edge Impulse has had a very long-standing association with BRN and who have jointly and extensively researched, experimented, tested, supported and adopted Akida IP with their own ei requirements over many years, at most likely a very significant / substantial financial cost. It's my view, that Qualcomm, just hasn't walked into this agreement with edge impulse purely by chance without firstly doing any of their own due diligence on both Edge Impulse and their partners or associates, unless there was a potential financial gain in it for them and as a potential back-door / foothold into BRN's technologically advanced Neuromorphic AI IP technology, which could in turn and most likely extend upon what Qualcomm can expand upon within their own current at the edge AI offerings as well as the only commercially available Neuromorphic AI products and solutions.I guess part of what makes Edge Impulse...well...Edge Impulse, is that it was designed as per the below excerpt from Zac Shelby on their site yesterday.
If Qualcomm try to modify EI to be solely related to Qualcomm then you would suspect it detracts from the core market EI was created for and removes alot of flexibility that many Devs out there were attracted to in the first place.
No doubt Qualcomm will have their products front and centre and why wouldn't they but I would think the options for Devs and partners will still be in play.
Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.
In 2019, Jan Jongboom and I set out to democratize machine learning on edge compute for millions of developers. Recognizing that the compute capabilities of microcontrollers had grown to the point where they were able to run domain specific AI models directly onboard, we realized there were an endless number of use cases that would benefit from moving AI from the cloud to the edge. But there was a missing piece: a way to easily build, optimize, and deploy edge and domain-specific AI models onto these devices.
Together we launched Edge Impulse, an end-to-end platform that streamlines the edge AI workflow. Instead of having to manually collect and format data, hand-code and train model architectures, convert and compile models, and test for viability, Edge Impulse gives developers a tool that automates data collection, simplifies model training, provides advanced optimization tools, and offers one-click deployment to many types of hardware, from MCUs to CPUs, GPUs, and NPUs.
From their FAQ on the acquisition reiterating support for existing partners and hardware.
Edge Impulse FAQ for edge AI - Edge AI insights FAQ for business leaders and developers
Discover everything you need to know about Edge Impulse, and our edge AI capabilities with our comprehensive FAQ. Whether you’re a business leader seeking to leverage edge AI for a strategic advantage or an engineer/developer looking to build ML models and deploy to edge devices, our FAQ offers...
View attachment 78969
Maybe. And maybe they just want to slow down the adoption of their competitor’s technology while pushing forward their own.
Money talks I s'pose.
Not certain that's how it will work myself but could be wrong.
@Fullmoonfever it will be interesting to watch how things unfold over the next year or so.
I'm guessing that, because EI works with several companies who are mutual competitors, they would need to have established Chinese walls to prevent cross-company information flow to protect each comapny's IP/confidntial information, and I'm hoping that these restrictions continue under the new regieme.
When I was in the game there was a thing called "co-opertition"...................
I hope this doesn’t end up the way of the Arm/Qualcomm/Nuvia stouch. ‘Acquisition/IP’ via the ‘back door’ ….
Sounds painful and unproductive, would that also mean Brn being violated - no revenue?
