FabricatedLunacy
Regular
I’d like to see some gains in 4C. But I doubt we will see it this time around. But then I think ok. Good, it’ll drop and I buy more. There won’t be many opportunities like this left.
Just my own fabricated lunacy.
BRN Discussion Ongoing
- Thread starter TechGirl
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Just my own fabricated lunacy.
Rise from the ashes
Regular
Ai chat bots have been in parliament for years.
JK200SX
Regular
Yeah, there's a lot of "Artificial" intelligence in parliament house!
Getupthere
Regular
Our data centers need a hard reset — VentureBeat
Imagine you’re a doctor anticipating a time-sensitive organ donation, eager to tell your patient that the long wait is finally over. There’s just one problem: The login credentials to access your patient’s medical files aren’t working. Then you receive a notification: The current heatwave caused...
Rise from the ashes
Regular
Hey Straw - good post mate. Someone posted a couple of days ago that this forum is more like a supporters group for 'team BRN', or something like that.
It made me think a bit because unlike HC, where there are plenty of posters just angling for an argument, this forum was designed to enable like-minded owners of this company to share information. I've been guilty of posting unhelpful comments as well.
A big thing to realise though is that some people here have bought low and are sitting on huge profits already, while others have bought higher and are likely sitting on a loss. This leads to a huge spectrum of emotions across the board. This is inevitable but I think 'Rise From The Ashes' may have found a solution - he's set up a sub-forum to discuss the SP (good,bad and ugly). I think if anyone wants to vent this could be a way to do it (or create another forum to achieve this).
We should all allow the BRN discussion forum (this one) to continue with the original purpose is was designed i.e. research and positive support for all holders of this business. Any posts to the contrary should be directed to the appropriate forum. Allow Dio, FF and many others to continue to educate us all free of unnecessary distraction.
My thoughts only.
Sirod69
bavarian girl ;-)
In this blog post, we highlight new
@BrainChip_inc
Akida™ platform features that are now available in Edge Impulse Studio to provide easy, quick, and advanced model development and deployment for the company's Akida neuromorphic technology: https://bit.ly/3H4ddUn
@BrainChip_inc
Akida™ platform features that are now available in Edge Impulse Studio to provide easy, quick, and advanced model development and deployment for the company's Akida neuromorphic technology: https://bit.ly/3H4ddUn
S
Straw
Guest
Yes that could have been me and yes we will do our best to make sure dubious posters from HC or elsewhere don't start 'infiltrating' this place, for want if a better word.
Another thing to remember when comparing new and old holders is that most of the old holders held their shares well below 10c for a very long time. To be fair.
thelittleshort
Top Bloke
Here we go!
mrgds
Regular
Thnx @thelittleshort
Love the "Adjective " ....................... COMPELLING
Demanding Attention
Convincing
AKIDA BALLISTA
Absolutely and those who got in so early deserve to be rewarded for having taken such a risk (this was a much different investment back then I think). Having said that I personally believe that even those who bought above $2.00 will see a great ROI too, we'll all have to wait and see. (Perhaps this should be in SP Good Bad and Ugly forum
).
Deadpool
hyper-efficient Ai
Noticed they are using a DJI phantom drone, don't know if that's just a stock photo of course, but the mind boggles at what could be achieved with an Akida inside sticker slapped on its fuselage. The market, just for DJI is massive.
Thanks tls,
A few months ago, the big boys announced that they were going to provide a set of AI/NN standards, even though they are demonstrably unqualified to do so. It seems the same has been happening with benchmarking AI/NNs, the essential tool for comparing performance of NNs, so brainChip is setting the record straight.
[I recall the porcine aviator or someone else over at the other place bleating (oinking) about the lack of benchmarks]
The following graphs from the white paper compare 2 nodes of Akida with Silicon labs, Reneas, and STM MCUs, while those further down show comparisons with Nvidia Jetson nano and Google Coral.
Then there are graphs for Performance (Speed)/Efficiency (energy) which BrainChip proposes as being a more relevant benchmark for edge devices.
The white paper then goes on to compare the times to load the model libraries which is important for NNs running multiple networks.
The benchmark data below is divided into two sets of graphs, each comparing BrainChip’s Akida processor using three representative applications. These applications – keyword spotting, object detection, and anomaly detection – play critical roles in enabling the edge-specific verticals highlighted in the previous chapter. The first set of graphs are based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading MCU vendor offerings.* As the first chart illustrates, Akida-based performance delivers extremely low latency using just a fraction of the energy consumed by conventional MCUs.
The contrast is even more pronounced when benchmarking Akida against conventional MCUs for visual wake words – a popular edge application that demands complementary levels of efficiency and performance in power-conscious and thermally constrained environments.
Similarly, the anomaly detection benchmark shows a substantial gain in latency and energy versus the MCU solutions.
The second set of graphs are also based on publicly available MLPerf datasets from MLCommons that benchmark Akida and leading DLA and TPU vendor offerings. These compare Akida with two higher end edge AI processors: NVIDIA Jetson Nano (a deep learning accelerator) and Google Coral (a tensor processing unit). Even at a significantly lower frequency, Akida matches or outperforms both processors while consuming significantly less power.
This performance and efficiency data is based on a two-node configuration – which we compare here to ensure consistency with earlier MCU comparisons. It should be noted that higher node configurations further reduce latency – and are potentially more efficient as they enable faster compute. However, even with a two-node configuration, Akida’s latency fits well within the 5ms target, and the energy consumed per frame by Akida is only a fraction of the power drawn by larger processors.
The relative efficiency of the anomaly detection benchmark highlights the benefits of an efficient AI engine over traditional MCUs even for small workloads.
Attachments
How fantastic of an idea is that??? You don't suggest something like that unless you know you can back it up with proof. BOOM.
Dhm
Regular
Purely in the interests of balance, and so we all are aware, the disclosure at the bottom of the paper says this:
This is NOT an attempt at down ramping. I am as bullish as anyone here, in fact I feel as though I am growing some horns! Only mentioned in case some third party downramper throws this in our faces.
This is me dealing with a down ramper.
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supersonic001
Regular
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