BRN Discussion Ongoing
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... after you have strained it through your kidneys, I hope!
If you don't have dreams, you can't have dreams come true!
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This is the most recent paper I could find on diagnostic accuracy for melanoma.
My son who is in the UK last year had a melanoma diagnosed and successfully removed and when speaking about it at Christmas he said he was fortunate as most Doctor's in the UK have little experience with melanoma but he was lucky because his Doctor had worked in Australia.
98.31% accuracy is a very significant accomplishment based on the following paper and the other two I read from 2018.
Frontiers | Comparative Analysis of Diagnostic Techniques for Melanoma Detection: A Systematic Review of Diagnostic Test Accuracy Studies and Meta-Analysis
Melanoma has the highest mortality rate among skin cancers, and early-diagnosis is essential to maximize survival rate. The current procedure for melanoma di...
www.frontiersin.org
My opinion only DYOR
FF
AKIDA BALLISTA
JK200SX
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Check this out crew!
The first article published 24 hours ago (which mentions Weebit) says "As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking the ability to imitate the human brain".
Now I have been interested for some time in trying to establish the ways in which BRN and WBT could collaborate and this article seems to hit the nail on the head.
There's also a link in the article which says "synonymous with neuropathic computing" and this takes you to an article describing work done by researchers at Politecnico Milan. It states" The university developed a hardware design that uses Weebit’s ReRAM to combine the efficiency of convolutional neural networks (CNNs) with the plasticity of brain-inspired spiking neural networks (SNN) to enable the hardware to learn new things without forgetting trained tasks of previously acquired information. In addition, the system adapts its operative frequency for power saving, enabling feasible solutions for lifelong learning in autonomous AI systems."
Well, to cut a long story short I tried to find a link between BRN, WBT and Politecnico Milan and came across a TMT Analytics Report entitled "Weebit Nano Limited" from Feb 2019 from which I think we can deduce a collaboration of sorts.
www.eetasia.com
The first article published 24 hours ago (which mentions Weebit) says "As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking the ability to imitate the human brain".
Now I have been interested for some time in trying to establish the ways in which BRN and WBT could collaborate and this article seems to hit the nail on the head.
There's also a link in the article which says "synonymous with neuropathic computing" and this takes you to an article describing work done by researchers at Politecnico Milan. It states" The university developed a hardware design that uses Weebit’s ReRAM to combine the efficiency of convolutional neural networks (CNNs) with the plasticity of brain-inspired spiking neural networks (SNN) to enable the hardware to learn new things without forgetting trained tasks of previously acquired information. In addition, the system adapts its operative frequency for power saving, enabling feasible solutions for lifelong learning in autonomous AI systems."
Well, to cut a long story short I tried to find a link between BRN, WBT and Politecnico Milan and came across a TMT Analytics Report entitled "Weebit Nano Limited" from Feb 2019 from which I think we can deduce a collaboration of sorts.
In-Memory Computing, AI Draws Research Interest - EE Times Asia
As interest in AI and in-memory computing significantly increases, ReRAM could be the key to unlocking the ability to imitate the human brain.
www.eetasia.com
Just guessing, but Mobilenet v1 was not designed for an on-chip one-shot learning digital SNN, so it probably has a lot of redundant data, such as front, back, sides, underneath, and plan views. Akida probably only needs generic "quadruped/vehicle/person/..." classes with a few all round shots in the generic heading, and Akida can then learn specific examples of each class as required. So KC & co have probably trained Akida Net on several samples of each class in a manner more suited to Akida.
You do know that you're breaching the total fire ban?!
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Nothing better than sitting around a camp fire with the autumn chill in the air, the clear night sky illuminated by the Southern Cross with a glass of your favourite red, total fire ban or not.
FF.
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Hi @DiogeneseCheck this out crew!
The first article published 24 hours ago (which mentions Weebit) says "As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking the ability to imitate the human brain".
Now I have been interested for some time in trying to establish the ways in which BRN and WBT could collaborate and this article seems to hit the nail on the head.
There's also a link in the article which says "synonymous with neuropathic computing" and this takes you to an article describing work done by researchers at Politecnico Milan. It states" The university developed a hardware design that uses Weebit’s ReRAM to combine the efficiency of convolutional neural networks (CNNs) with the plasticity of brain-inspired spiking neural networks (SNN) to enable the hardware to learn new things without forgetting trained tasks of previously acquired information. In addition, the system adapts its operative frequency for power saving, enabling feasible solutions for lifelong learning in autonomous AI systems."
Well, to cut a long story short I tried to find a link between BRN, WBT and Politecnico Milan and came across a TMT Analytics Report entitled "Weebit Nano Limited" from Feb 2019 from which I think we can deduce a collaboration of sorts.
View attachment 3135
In-Memory Computing, AI Draws Research Interest - EE Times Asia
As interest in AI and in-memory computing significantly increases, ReRAM could be the key to unlocking the ability to imitate the human brain.
Am I correct if I say that unless Peter van der Made and Anil Mankar have walked on water yet again that they have probably had to increase the memory being used by AKD2000 to achieve high performance LSTM?
Asking dumb questions comes easily when you have had a lengthy career in the law. LOL
FF.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Tell me about it FF! You should hear how many dumb questions foot models ask eachother! We may have beautiful feet, but I'll be the first to admitt, we're generally not the sharpest tools in the shed.
VictorG
Member
I hear ya sista, if it wasn't for my good looks I would've starved to death long ago.
Violin1
Regular
Man, we've got the same sense of humour - can't wait for beers and wine!
Bravo
If ARM was an arm, BRN would be its biceps💪!
OMG! I had no idea Puto was fond of wearing budgy smugglers! I guess that's another reason to dislike him.
www.betootaadvocate.com
President Putin Reveals His Love For Australian "Budgy Smugglers" — The Betoota Advocate
18 May, 2015. 17:30 ERROL PARKER | Editor-at-large | Contact The website for iconic Australian swimwear company, Budgy Smuggler crashed briefly this morning after Russian news outlets released images of of their countries President wearing a pair of crotch-hugging togs. The company, which is...
www.betootaadvocate.com
Hi FF,
Short answer is "yes".
Each NPU must retain its current state until the next batch of inputs is processed.
When I googled "Akida long short term memory", it came up with some bloke over on the other place who reckoned Akida 1500 would have LSTM, but he didn't have a reference for the information.
WO2020092691A1 AN IMPROVED SPIKING NEURAL NETWORK
[0040] Third, conventional SNNs do not provide buffering between different layers of the SNN. But buffering can allow for a time delay for passing output spikes to a next layer. Embodiments herein solve this technological problem by adding input spike buffers and output spike buffers between layers of a SCNN.
The NPUs of each layer are bracketed by input and output buffer registers.
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Enough we surrender. Just put your clothes back on Puto. LOLOMG! I had no idea Puto was fond of wearing budgy smugglers! I guess that's another reason to dislike him.
View attachment 3146
President Putin Reveals His Love For Australian "Budgy Smugglers" — The Betoota Advocate
18 May, 2015. 17:30 ERROL PARKER | Editor-at-large | Contact The website for iconic Australian swimwear company, Budgy Smuggler crashed briefly this morning after Russian news outlets released images of of their countries President wearing a pair of crotch-hugging togs. The company, which is...
On a serious note the following link to a paper on accuracy results comparing different old fashioned deep learning doing PlantVillage makes the 97.92% accuracy achieved by AKD1000 quite impressive. What farmer would not want an unconnected device that can alert that a particular plant disease has just broken out???:
file:///C:/Users/Family/Downloads/agriculture-11-00707%20(1).pdf
My opinion only DYOR
FF
AKIDA BALLISTA
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Actually remember that bloke wonder what happened to him. He was spot on with that one as Anil Mankar alluded to AKD1500 having a limited or a bit of LSTM capability.
Once again many thanks for your educated understanding of how this works.
My opinion only DYOR
FF
AKIDA BALLISTA
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Just an out of interest question .......... was the PCIE Board sent to you from the US or Aus ??
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Then who does not need an unconnected handheld device that will tell them whether they have just been attacked by a cat or a dog??? AKD1000 achieved an accuracy of 96.60% on the Cat vs Dogs data set and the following paper gives a hint to how impressive this actually is:
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AKIDA BALLISTA
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Finally on the LFW Face Verification data set AKD1000 achieved 97.25% which when compared to the results in the following article are very impressive considering the power sitting behind these old school technology solutions. Think about the power savings involved by ditching old school for AKD1000 in this area not to mention the cyber secure nature of what AKIDA technology offers. Mercedes of course already has and decided to use AKD1000 solutions:
Facial recognition: top 7 trends (tech, vendors, use cases)
Facial recognition is a hot topic and somewhat controversial. Discover 7 trends likely to shape the face recognition landscape for the next 2 years.
My opinion only DYOR
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AKIDA BALLISTA
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