BaconLover
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The most exciting thing right now is AI 
BRN Discussion Ongoing
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Bravo
If ARM was an arm, BRN would be its biceps💪!
And then of course there's this...Oh, and speaking of Si-FIve customers, here's what Ziad Asghar, VP of Product Management for Snapdragon Technology and Roadmap at Qualcomm said in a statement in November 2022.
View attachment 31426
Baring in mind that Prophesee loves us and would no doubt be pushing for our inclusion in to Snapdragon platforms. And SiFive loves us too as can be attested in the latest statement from Phil Dworsky (Global Head of Strategic Alliances at SiFive).
So, come on Qualcomm, just go with the flow, because resistance is literally futile.
View attachment 31425
Compact RISC-V Cores Bring the Power to Wearables, Consumer Devices
With its latest 64-bit RISC-V CPU cores, the P670 and P470, SiFive is putting the focus on compute density.www.electronicdesign.com
Bravo
If ARM was an arm, BRN would be its biceps💪!
This price manipulation after yesterday's great news and confirmation of the chips!
I really liked the firm language of the comments, no pussying around, to the point and confident.
I can't believe the chance is still here to buy more at these prices when some big names have endorsed BRN. I might have to sleep in the dog house a bit longer, but I won't forgive myself if I don't buy more shares.
Yes, I'm still an Akidaholic!
I really liked the firm language of the comments, no pussying around, to the point and confident.
I can't believe the chance is still here to buy more at these prices when some big names have endorsed BRN. I might have to sleep in the dog house a bit longer, but I won't forgive myself if I don't buy more shares.
Yes, I'm still an Akidaholic!
TheFunkMachine
seeds have the potential to become trees.
I think this is the reason why Brainchip is pushing for a different way to benchmark Edge AI processors as TOPS has been weighted to much in terms of power and capability. Akida’s top end is 50 TOPs yet according to Nviso Akida outperformed Nvidia in every way.
So if Akida with much less TOPS then Nvidia processors can outperform them, then benchmarking has to change to ensure true value gets highlighted.
Sorry if I misunderstand this as I am not a super technical guy.
Fact Finder
Top 20
If we list on US now we will get eaten alive, we need to built strong ship (strong partnerships & revenue sources) before we sail to NASDAQ IMO
Bravo
If ARM was an arm, BRN would be its biceps💪!
Uuuuuuhhhhrrrrmmm...What!!!!!
I'm warming up my chakras and giving myself a migraine trying to will our incorporation in this one into existence.
The patent hasn't been issued as yet or at least not that I can access. This will be one for dear Dodgy Knees to follow up on @Diogense.
I'm warming up my chakras and giving myself a migraine trying to will our incorporation in this one into existence.
The patent hasn't been issued as yet or at least not that I can access. This will be one for dear Dodgy Knees to follow up on @Diogense.
Damo4
Regular
Mate, you're starting to convince me
D
Deleted member 2799
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It would be nice if this week would be a week of announcements! After so long time of silence
the shorts have still problems with dumping
the shorts have still problems with dumping
D
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Damo4
Regular
Finally, now we can all be free of your annoying posts.
Happy for you though.
But happier myself that it ends.
All aboard, next stop, moon.
Hi Doz,
This is an interesting PCT application which includes the N-of-M coding. It resulted in the grant of this US patent:
US11227210B2 Event-based classification of features in a reconfigurable and temporally coded convolutional spiking neural network
It has a priority of 20190725, which is too early to for transformers.
But there was a subsequent "continuation-in-part" [patent of addition] application filed in the US:
US2022147797A1 EVENT-BASED EXTRACTION OF FEATURES IN A CONVOLUTIONAL SPIKING NEURAL NETWORK
which has a priority of 20220114, and is awaiting examination by USPTO.
This application does refer to transformation modules, and the description of the transformer module was added to the parent description on 20220114.
[006] ... However, up to now temporal spiking neural networks have not been able to meet the accuracy demands of image classification. Spiking neural networks comprise a network of threshold units, and spike inputs connected to weights that are additively integrated to create a value that is compared to one or more thresholds. No multiplication functions are used. Previous attempts to use spiking neural networks in classification tasks have failed because of erroneous assumptions and subsequent inefficient spike rate approximation of conventional convolutional neural networks and architectures. In spike rate coding methods, the values that are transmitted between neurons in a conventional convolutional neural network are instead approximated as spike trains, whereby the number of spikes represent a floating-point or integer value which means that no accuracy gains or sparsity benefits may be expected. Such rate-coded systems are also significantly slower than temporal-coded systems, since it takes time to process sufficient spikes to transmit a number in a rate-coded system. The present invention avoids those mistakes and returns excellent results on complex data sets and frame-based images.
A system, comprising:
a memory for storing data representative of at least one kernel;
a plurality of spiking neuron circuits;
an input module for receiving spikes related to digital data, wherein each spike is relevant to a spiking neuron circuit and each spike has an associated spatial coordinate corresponding to a location in an input spike array;
a transformation module configured to:
transform a kernel to produce a transformed kernel having an increased resolution relative to the kernel; and/or
transform the input spike array to produce a transformed input spike array having an increased resolution relative to the input spike array;
a packet collection module configured to collect spikes until a predetermined number of spikes relevant to the input spike array have been collected in a packet in memory, and to organize the collected relevant spikes in the packet based on the spatial coordinates of the spikes; and
a convolutional neural processor configured to perform event-based convolution using memory and at least one of the transformed input spike array and the transformed kernel.
However, this use of the term "transformation" is not the same as the "transformer" which is supplanting LSTM with its "attention" capability.
https://blogs.nvidia.com/blog/2022/...ideo,can be used to create even better models.
Transformers use positional encoders to tag data elements coming in and out of the network. Attention units follow these tags, calculating a kind of algebraic map of how each element relates to the others.
Attention queries are typically executed in parallel by calculating a matrix of equations in what’s called multi-headed attention.
With these tools, computers can see the same patterns humans see.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Looks like we're still in the running for future smartphones, etc from Sumsung then.
Last updated: March 6th, 2023 at 15:15 UTC+01:00
After a series of disappointments with Exynos processors, Samsung completely switched to Qualcomm chips for the Galaxy S23. The company will reportedly use a Qualcomm chip for the Galaxy S24 series as well. Over the past few days, reports claimed that Samsung restarted the development of custom CPU cores for future Galaxy devices. However, the South Korean firm claims those reports are untrue.
Regarding recent reports, Samsung Electronics reached out to us and said, “A recent media report that Samsung has established an internal team dedicated to CPU core development is not true. Contrary to the news, we have long had multiple internal teams responsible for CPU development and optimization, while constantly recruiting global talents from relevant fields.” This clearly indicates that the company hasn’t started developing custom CPU cores for its future smartphones, tablets, and laptops.
Some reports claimed in the past that Samsung MX, Samsung Electronics’ mobile phone division, has created an internal team to develop in-house smartphone chipsets from scratch. However, there hasn’t been any official information in this regard. It is being reported that Samsung will switch to an in-house chipset for the Galaxy S25 in early 2025.
Samsung has been under constant pressure from consumers due to the sub-par performance of Exynos processors. The company was also embroiled in the controversy related to GOS (Game Optimization Service) that reduced peak gaming performance on the Galaxy S22 series for stable sustained performance. Later, the company had to offer an option to turn off GOS on its smartphones through a software update.
PHONETABLET SAMSUNG ELECTRONICSSAMSUNG MXSAMSUNG SEMICONDUCTORSYSTEM LSI
www.sammobile.com
Sam
Samsung: Reports of new internal CPU development team are not true
Last updated: March 6th, 2023 at 15:15 UTC+01:00
After a series of disappointments with Exynos processors, Samsung completely switched to Qualcomm chips for the Galaxy S23. The company will reportedly use a Qualcomm chip for the Galaxy S24 series as well. Over the past few days, reports claimed that Samsung restarted the development of custom CPU cores for future Galaxy devices. However, the South Korean firm claims those reports are untrue.
Regarding recent reports, Samsung Electronics reached out to us and said, “A recent media report that Samsung has established an internal team dedicated to CPU core development is not true. Contrary to the news, we have long had multiple internal teams responsible for CPU development and optimization, while constantly recruiting global talents from relevant fields.” This clearly indicates that the company hasn’t started developing custom CPU cores for its future smartphones, tablets, and laptops.
Samsung might continue using ARM’s stock CPU cores in its phones
Samsung’s statement indicates that it might continue using ARM’s stock CPU cores in its future smartphones. ARM has reportedly changed its licensing terms, disallowing OEMs from making changes to its stock designs. ARM and Qualcomm have been at odds with each other regarding licensing terms of ARM’s CPU core designs ever since Qualcomm acquired Nuvia.Some reports claimed in the past that Samsung MX, Samsung Electronics’ mobile phone division, has created an internal team to develop in-house smartphone chipsets from scratch. However, there hasn’t been any official information in this regard. It is being reported that Samsung will switch to an in-house chipset for the Galaxy S25 in early 2025.
Samsung has been under constant pressure from consumers due to the sub-par performance of Exynos processors. The company was also embroiled in the controversy related to GOS (Game Optimization Service) that reduced peak gaming performance on the Galaxy S22 series for stable sustained performance. Later, the company had to offer an option to turn off GOS on its smartphones through a software update.
PHONETABLET SAMSUNG ELECTRONICSSAMSUNG MXSAMSUNG SEMICONDUCTORSYSTEM LSI
Samsung: Reports of new internal CPU development team are not true
After a series of disappointments with Exynos processors, Samsung completely switched to Qualcomm chips for the Galaxy S23. The company ...
Sam
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