I just prepare myself for the next punch in my face
Just wanted to write something similar
Just wanted to write something similar
BRN Discussion Ongoing
- Thread starter TechGirl
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Pom down under
Top 20
Knowing our luck we will get a $$$ sensitive announcement today and end up red
HopalongPetrovski
I'm Spartacus!
HopalongPetrovski
I'm Spartacus!
Hi Papacass,
You've misremembered:
"It is Akida 2 that has been on again - off again".
DingoBorat
Slim
Comsec app can't handle the pressure..
Volume sold in stocks, going up, then down
...
ASX is possibly struggling with volume of selling/buying too..
Volume sold in stocks, going up, then down
...ASX is possibly struggling with volume of selling/buying too..
Bravo
If ARM was an arm, BRN would be its biceps💪!
I don't see why not—unless Qualcomm is already working on a new iteration of Snapdragon that incorporates features similar to AKIDA. How feasible that is, I'm not entirely sure.
As far as I know, the current Snapdragon product isn't neuromorphic, isn't event-based, doesn't operate at ultra-low power, and doesn’t support real-time on-device learning.
Judd Heape, VP of Product Management for Camera, Computer Vision, and Video at Qualcomm Technologies, was quoted in a June 2023 EE Times article saying, “These event-based sensors are much more efficient because they can be programmed to easily detect motion at very low power. When there’s no movement or change in the scene, the sensor consumes almost no power. So that’s really interesting to us.”
In that context, he was referring to Prophesee and image-based sensors, but the underlying principle still applies I would have thought—event-based sensors just make sense. And AKIDA is event-based.
We also know that a drone company is exploring a combination of AKIDA and Prophesee’s camera. Not Snapdragon. That says something.
So why wouldn’t Qualcomm want to integrate our technology to gain a foothold in new markets—especially ones that are battery-powered and highly power-constrained? Surely paying for a licence would be chicken feed for the likes of Qualcomm, so I honestly don't know why they wouldn't be considering it.
Maybe someone with deeper technical insight can weigh in here.
EETimes article about Prophesee-Qualcomm deal
Full article here: https://www.eetimes.com/experts-weigh-impact-of-prophesee-qualcomm-deal/ Experts Weigh Impact of Prophesee-Qualcomm Deal ...
image-sensors-world.blogspot.com
DingoBorat
Slim
May as well hear from the horse's mouth, what the deal is..
I'm reliably informed, that he and Ron Vara have conversed and have concurred on the way forward.
Try not to think about the short term turmoil.
Fear will turn to greed, soon enough.
It’s the good old “good cop bad cop” game. Trump will kick everyone’s ass and musk want zero tax policy with Europe… I think soon trump will call his dogs back again as usual.
If you ask me, it’s the biggest opportunity since the last big crash to buy cheap whatever you want to buy. If you sell, you are so stupid!
On the other hand a zero-tariff policy similar to a free trade agreement is something the US simply cannot afford with Europe, because Europe has such strict import regulations and requirements that it already fails at something like chlorinated chicken. I think if they manage to find a middle ground for certain products—especially in the tech and automotive sectors—it would benefit everyone. But what do I know.
HopalongPetrovski
I'm Spartacus!
BUSINESS
White House Adviser Peter Navarro Calls Fictional Alter Ego An 'Inside Joke'
OCTOBER 18, 20195:54 PM ETHEARD ON ALL THINGS CONSIDERED
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A publishing company plans to add an advisory note to future copies of a book written by White House adviser Peter Navarro, after it was revealed that Navarro fabricated one of the people he quoted.
The character Ron Vara appears in Navarro's 2011 book, Death By China,offering dire warnings about Chinese imports.
"Only the Chinese can turn a leather sofa into an acid bath, a baby crib into a lethal weapon, and a cellphone battery into heart-piercing shrapnel," Vara is quoted as saying.
Smoothsailing
Regular
Is it fair to say then that Qualcomm could still want to integrate Brainchip into their products and this is why they have put a stop to others using us through edge impulse ?.
Fullmoonfever
Top 20
Not sure it has been confirmed it Qualcomms doing. It was suggested as a possible reason I thought?
I find it hard to believe that they could actually do that as could be potentially seen as anticompetitive I would have thought and the exisiting Akida models are still allowed to be used, just not new Dev at the mo.
My questions is whether maybe an update to the models or additional capabilities to include 2.0 availability to play with or integration in some way to engage the Qualcomm foundries.io and other toolchains they now offer?
None of the other products like NVIDIA etc through EI appear affected at this point.
If Qualcomm want a piece of Neuromorphic at the Edge they will look to us.
The great thing about BRN from a client point of view is they can use 1000 knowing that they can move up fairly seamlessly to Gen2/TENNs as they improve existing or develop new products..
In the meantime just like us maybe Qualcomm are waiting until Edge AI demand picks up significantly before getting serious.
Papacass
Regular
Thanks for getting back to me, mate. Yeah, I’ve been schooled.
Cheers.
The other thing is…I don’t think it’s a bad idea to pause or stop the tools with Edge Impulse for now. I think it’s a smart move to first figure out where Qualcomm is heading. The industry is currently in a “grow or die” mindset, and it’s better not to reveal too much about one’s technology until the new terms are negotiated. The contracts or agreements between Brainchip and Edge Impulse are now null and void, and everything is on pause. It will be interesting to see how things unfold. Hmmm how about an direkt license agreement with Qualcomm?
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Hi Bravo,I don't see why not—unless Qualcomm is already working on a new iteration of Snapdragon that incorporates features similar to AKIDA. How feasible that is, I'm not entirely sure.
As far as I know, the current Snapdragon product isn't neuromorphic, isn't event-based, doesn't operate at ultra-low power, and doesn’t support real-time on-device learning.
Judd Heape, VP of Product Management for Camera, Computer Vision, and Video at Qualcomm Technologies, was quoted in a June 2023 EE Times article saying, “These event-based sensors are much more efficient because they can be programmed to easily detect motion at very low power. When there’s no movement or change in the scene, the sensor consumes almost no power. So that’s really interesting to us.”
In that context, he was referring to Prophesee and image-based sensors, but the underlying principle still applies I would have thought—event-based sensors just make sense. And AKIDA is event-based.
We also know that a drone company is exploring a combination of AKIDA and Prophesee’s camera. Not Snapdragon. That says something.
So why wouldn’t Qualcomm want to integrate our technology to gain a foothold in new markets—especially ones that are battery-powered and highly power-constrained? Surely paying for a licence would be chicken feed for the likes of Qualcomm, so I honestly don't know why they wouldn't be considering it.
Maybe someone with deeper technical insight can weigh in here.
View attachment 81620
EETimes article about Prophesee-Qualcomm deal
Full article here: https://www.eetimes.com/experts-weigh-impact-of-prophesee-qualcomm-deal/ Experts Weigh Impact of Prophesee-Qualcomm Deal ...
Qualcomm sees NPUs as applicable to low power devices, preferring to use CPU/GPU where latency is an issue (CPU), or where LLMs are concerned (GPU):
Qualcomm Hexagon AI Hybrid processor selection
https://www.qualcomm.com/content/da...I-with-an-NPU-and-heterogeneous-computing.pdf
most generative AI use cases can be categorized into on-demand, sustained, or pervasive. For on-demand applications, latency is the KPI since users do not want to wait. When these applications use small models, the CPU is usually the right choice. When models get bigger (e.g., billions of parameters), the GPU and NPU tend to be more appropriate. For sustained and pervasive use cases, in which battery life is vital and power efficiency is the critical factor, the NPU is the best option.
Qualcomm have several analog type NPU patents
US2023025068A1 HYBRID MACHINE LEARNING ARCHITECTURE WITH NEURAL PROCESSING UNIT AND COMPUTE-IN-MEMORY PROCESSING ELEMENTS 20210721
WO2023019104A1 SPARSITY-AWARE COMPUTE-IN-MEMORY 20210809
...
PS: Of course, as well as low power, Akida can handle latency-sensitive cases, and it can implement LLMs in smaller bites with the aid of RAG (Retrieval Augmented Generation).
PPS: Perhaps instead of Hexagon, Qualcomm should have called their AI system Cerberus.
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