BRN Discussion Ongoing
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Afternoon Diogenese ,
Thankyou once again for your tireless Technical Knowledge , mind boggling.
From what i have picked up .... and i could be mistaken.... our chip / IP works on First Kernel in is First Kernel out , with No Backend Loading ( whatever that means ).
As per picture .....
.
Regards,
Esq.
Thankyou once again for your tireless Technical Knowledge , mind boggling.
From what i have picked up .... and i could be mistaken.... our chip / IP works on First Kernel in is First Kernel out , with No Backend Loading ( whatever that means ).
As per picture .....
.
Regards,
Esq.
What the hack are you doing here!? No wonder the share price drops please do us a favour oookeeeeeyyy?!?!?!
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Qualcomm has their own AI, Hexagon, in Snapdragon 8.2.
Snapdragon 8 Gen 2 deep dive: Everything you need to know (androidauthority.com)
Snapdragon 8 Gen 2 deep dive: Everything you need to know
All you'll ever need to know about Qualcomm's latest Snapdragon 8 Gen 2 mobile platform for next-gen phones can be found here.
To boost performance, the Tensor accelerator inside the DSP has doubled in size for twice the performance and has new optimizations specifically for language processing. Qualcomm is also debuting what it calls micro tile inference support, essentially chopping up imaging and other problems into smaller tiles to save on memory at the expense of some result accuracy. Along those lines, the addition of INT4 also means that developers can now implement machine learning problems requiring high bandwidth at the expense of some accuracy if compressing a larger model. Qualcomm is providing tools to partners to help support INT4, so it will require a retooling of existing applications to work.
Altogether, the Snapdragon 8 Gen 2 Hexagon DSP offers 4.35x the performance of its predecessor, depending on the ML model. (In this case, Qualcomm is comparing mobileBERT natural language processing). Sounds impressive, but I think the more significant change is the introduction of Hexagon Direct Link, which more closely connects its ISP to the AI Engine. The company dubs this its “Cognitive ISP.”
...
Qualcomm doubled the physical link between the image signal processor (ISP), Hexagon DSP, and Adreno GPU, driving higher bandwidth and lowering latency. This allows the Snapdragon 8 Gen 2 to run much more powerful machine-learning tasks on imaging data right off the camera sensor. RAW data, for instance, can be passed directly to the DSP/AI Engine for imaging workloads, or Qualcomm can use the link to upscale low-res gaming scenarios to assist with GPU load balancing.
US2020104690A1 NEURAL PROCESSING UNIT (NPU) DIRECT MEMORY ACCESS (NDMA) HARDWARE PRE-PROCESSING AND POST-PROCESSING 20180928
[0015] FIG. 4 is a block diagram illustrating an exemplary software architecture that may modularize artificial intelligence (AI) functions, in accordance with aspects of the present disclosure.
...
In the exemplary example, the deep neural network may be configured to run on a combination of processing blocks, such as the CPU 422 , the DSP 424 , and the GPU 426 , or may be run on the NPU 428 .
...
. In aspects of the present disclosure, the read client RCLT and the write client WCLT may refer to an array to compute elements of the NPU 700 , which may support, for example, 16-NDMA read channels and 16-NDMA write channels for the various compute units of the NPU 700 .
[0021] FIG. 7 is a block diagram illustrating a neural processing unit (NPU), including an NPU direct memory access (NDMA) core and interfaces configured to provide hardware pre-processing and post-processing of NDMA data, according to aspects of the present disclosure.
I got the mushrooms from a little shop in Chinatown and I've lost the receipt.
Boab
I wish I could paint like Vincent
Magic
Fact Finder
Top 20
Hi All
My wild theory just became a little less wild.
In 2022 these Ericsson researchers published a paper which according to the Abstract was exploring:
Resilience Analysis of Distributed Wireless Spiking Neural Networks
Spiking neural networks (SNN) are expected to enable several use-cases in future communication networks (beyond 5G and 6G), as edge AI and battery-constrained systems can leverage the fast computation and high-power efficiency offered by SNNs. In this work we consider a Distributed Wireless SNN...
Tamás Borsos
Ericsson Research
Massimo Condoluci
Ericsson Research
Marios Daoutis
Ericsson Research
Péter Hága
Ericsson Research
András Veres
Ericsson Research
“Abstract:Spiking neural networks (SNN) are expected to enable several use-cases in future communication networks (beyond 5G and 6G), as edge AI and battery-constrained systems can leverage the fast computation and high-power efficiency offered by SNNs. In this work we consider a Distributed Wireless SNN (DW-SNN) system and we analyze its performance in terms of inference accuracy and total neural activity when radio losses are applied to spikes transferred during the inference phase. Our aim is to understand how radio losses impact performance when considering different SNN spike communication types, i.e., input, excitatory, and inhibitory spikes. Then we evaluate the impact of different traffic prioritization approaches among SNN spikes when considering a shared channel capacity being available for SNN activity. From these analyses, we derive some key insights and features that can be considered when applying a DW-SNN and handling its traffic over wireless communication systems. Finally, we report a prototype implementation of DW-SNN using custom-built IoT components, which we use to further investigate different coverage scenarios.View less”
Under References they were aware of:
5.
"Prophesee Metavision for Machines", [online] Available: https://www.prophesee.ai/.
Hide Context Google Scholar
In a neuromorphic or event camera [4][5]–[6] each pixel directly feeds corresponding neuron(s) and these neurons emit spikes when the change in light intensity exceeds a predefined threshold [6].
Go To Text
Unfortunately I cannot access the full paper and the Prophesee referenced paper appears to have been removed or blocked.
My opinion only DYOR
Fact Finder
Fact Finder
Top 20
Hi AllHi All
My wild theory just became a little less wild.
In 2022 these Ericsson researchers published a paper which according to the Abstract was exploring:
Resilience Analysis of Distributed Wireless Spiking Neural Networks
Spiking neural networks (SNN) are expected to enable several use-cases in future communication networks (beyond 5G and 6G), as edge AI and battery-constrained systems can leverage the fast computation and high-power efficiency offered by SNNs. In this work we consider a Distributed Wireless SNN...ieeexplore.ieee.org
Tamás Borsos
Ericsson Research
Massimo Condoluci
Ericsson Research
Marios Daoutis
Ericsson Research
Péter Hága
Ericsson Research
András Veres
Ericsson Research
“Abstract:Spiking neural networks (SNN) are expected to enable several use-cases in future communication networks (beyond 5G and 6G), as edge AI and battery-constrained systems can leverage the fast computation and high-power efficiency offered by SNNs. In this work we consider a Distributed Wireless SNN (DW-SNN) system and we analyze its performance in terms of inference accuracy and total neural activity when radio losses are applied to spikes transferred during the inference phase. Our aim is to understand how radio losses impact performance when considering different SNN spike communication types, i.e., input, excitatory, and inhibitory spikes. Then we evaluate the impact of different traffic prioritization approaches among SNN spikes when considering a shared channel capacity being available for SNN activity. From these analyses, we derive some key insights and features that can be considered when applying a DW-SNN and handling its traffic over wireless communication systems. Finally, we report a prototype implementation of DW-SNN using custom-built IoT components, which we use to further investigate different coverage scenarios.View less”
Under References they were aware of:
5.
"Prophesee Metavision for Machines", [online] Available: https://www.prophesee.ai/.
Hide Context Google Scholar
In a neuromorphic or event camera [4][5]–[6] each pixel directly feeds corresponding neuron(s) and these neurons emit spikes when the change in light intensity exceeds a predefined threshold [6].
Go To Text
Unfortunately I cannot access the full paper and the Prophesee referenced paper appears to have been removed or blocked.
My opinion only DYOR
Fact Finder
Less wild is the theory I and others have advanced that MegaChips is working with Morse Micro to add AKIDA technology into their WiFi HaLow chip offering.
This paper from Ericsson also adds weight to the merit of such speculation.
My opinion only DYOR
Fact Finder
BrainChip DJ
Pump up the BrainChip, pump it up While the stock's jumpin'
And the value's pumpin'
Look ahead, the charts are thumpin'
Pump it up a little more
Get the bulls on the floor Pump up the BrainChip, pump it up
While the market's boomin'
And the bears are gloomin'
Reach the heights, no room for losin'
Pump it up a little more Get the bulls on the floor
Pump up the BrainChip, pump it up While the stock's jumpin'
And the value's pumpin'
Look ahead, the charts are thumpin'
Pump it up a little more
Get the bulls on the floor Pump up the BrainChip, pump it up
While the market's boomin'
And the bears are gloomin'
Reach the heights, no room for losin'
Pump it up a little more Get the bulls on the floor
Bravo
If ARM was an arm, BRN would be its biceps💪!
That's so weird. I got mine from an Asian grocery store in Melbourne and I've lost my receipt too!!!
Bravo
If ARM was an arm, BRN would be its biceps💪!
OK, I don't need to be told twice!!! It'll only be a short run (i.e fast motion walk) around the block though because I have a painful bunion on my left foot and an extremely large corn on my right foot. Back soon!
Rskiff
Regular
Those green boots causing bunions?
supersonic001
Regular
BrainChip on LinkedIn: #edgeai #ai #neuromorphic | 10 comments
Shh, it's a sneak peek! We visited the BrainChip office recently to get you a little behind-the-scenes glimpse of BrainChip’s engineering in action and the… | 10 comments on LinkedIn
We don’t care about your foot… THERE ARE MORE IMPORTANT THINGS THAN YOUR FOOT LADY! Think about all the people here… they counting on you!
Edit: for some people maybe I should add , it’s just a joke.. take care! (Maybe they don’t have a sense for irony or sarcasm)
Last edited:
DingoBorat
Slim
What's this "Back soon" jive Bravo?
We will pay your Podiatry bills, even a bi-foot transplant, if necessary!
Smoothsailing
Regular
Brilliant
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