Rise from the ashes
Regular
Haha No X on mine, you must have the delux
By the way would like to see the other ex defence ministers disclosed holdings , Dutton, Pyne tec
Haha No X on mine, you must have the delux
By the way would like to see the other ex defence ministers disclosed holdings , Dutton, Pyne tec
what we need is Nancy Pelosi to buy in.Thanks
Wow talk about tight! on her salary
what we need is Nancy Pelosi to buy in.
In relation to the Citicorp Nominees topic, I've done some more investigation. On the surface it looks like they have taken large positions in many companies listed on the ASX:
MYER
View attachment 11295
RIO TINTO
View attachment 11297
JB HIFI
View attachment 11298
Wesfarmers
View attachment 11299
AGL
View attachment 11300
CBA
View attachment 11301
BRN (not current)
View attachment 11302
Additionally, HSBC, JP Morgan, BNP Paribas Nominees, and other "nominee" companies have taken up positions too in all of the examples shown above. Knowing this now, I can perhaps conclude that these type of investments are a collective (ie smsf's, managed funds, individual investors etc), and is perhaps a good thing?
In relation to the Citicorp Nominees topic, I've done some more investigation. On the surface it looks like they have taken large positions in many companies listed on the ASX:
MYER
View attachment 11295
RIO TINTO
View attachment 11297
JB HIFI
View attachment 11298
Wesfarmers
View attachment 11299
AGL
View attachment 11300
CBA
View attachment 11301
BRN (not current)
View attachment 11302
Additionally, HSBC, JP Morgan, BNP Paribas Nominees, and other "nominee" companies have taken up positions too in all of the examples shown above. Knowing this now, I can perhaps conclude that these type of investments are a collective (ie smsf's, managed funds, individual investors etc), and is perhaps a good thing?
In relation to the Citicorp Nominees topic, I've done some more investigation. On the surface it looks like they have taken large positions in many companies listed on the ASX:
MYER
View attachment 11295
RIO TINTO
View attachment 11297
JB HIFI
View attachment 11298
Wesfarmers
View attachment 11299
AGL
View attachment 11300
CBA
View attachment 11301
BRN (not current)
View attachment 11302
Additionally, HSBC, JP Morgan, BNP Paribas Nominees, and other "nominee" companies have taken up positions too in all of the examples shown above. Knowing this now, I can perhaps conclude that these type of investments are a collective (ie smsf's, managed funds, individual investors etc), and is perhaps a good thing?
Hi Fmf,Something I found that appears interesting but again not necessarily linked per se.
In some of CNN2SNN documents we can also incorporate Adaround Quantizer which I believe is open source for anyone.
Appears can be added as a calibration after Akida does it's stuff.
So, who owns / created Adaround?...Qualcomm.
Snip from BRN doc and short vid from Qualcomm. Is a 2020 demo appears but Qualcomm only uploaded Jan this year.
Doesn't mean too much maybe as stand alone Adaround looks like down to 8 bit where we 1-4 but assists tuning for us from my basic understanding and obviously compatible and probs a common bolt on to diff AI prods?
The vid is interesting to see what Adaround at 8 bit achieves when I think ok, couple that with Akida first.
Spotted it from a July 22 post by Edge AI on Qualcomm AIMET which can / does also use Adaround.
Maybe @Diogenese could add some thoughts sometime?
cnn2snn.calibration.adaround — Akida Examples documentation
doc.brainchipinc.com
Neural Network Optimization with AIMET
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently atwww.edge-ai-vision.com
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Looks like can't embed the vid here but link below.
NeurIPS 2020 Demo: Neural network quantization with AdaRound
www.qualcomm.com
Awesome thanks D...knew you'd expand on it.Hi Fmf,
AIMET ( AI Model Efficiency Toolkit) is used to compress the image model libraries used to provide the weights against which the input data (actuations) is compared in Akida.
AIMET supports many features, such as Adaptive Rounding (AdaRound) and Channel Pruning, and the results speak for themselves. For example, AIMET’s data-free quantization (DFQ) algorithm quantizes 32-bit weights to 8-bits with negligible loss in accuracy. AIMET’s AdaRound provides state-of-the-art post-training quantization for 8-bit and 4-bit models, with accuracy very close to the original FP32 performance. AIMET’s spatial SVD plus channel pruning is another impressive example because it achieves a 50% MAC (multiply-accumulate) reduction while retaining accuracy within 1% of the original uncompressed model.
In May 2020, our Qualcomm Innovation Center (QuIC) open-sourced AIMET. This allows for collaboration with other ML researchers to continually improve model efficiency techniques that benefit the ML community.
There are many standard model libraries and many are in 32-bit format. AIMAT can compress these to 8-bit format. AdaRound can compress the 8-bit format to 4-bit format.
BrainChip has developed some in-house model libraries adapted for use with Akida, but the production of model libraries is a very time-consuming task, so It is useful to be able to adapt existing model libraries for use with Akida.
Form Generated on 05/25/2022 15:44:17I see Intellisense have a new solicitation proposal with NASA.
Unlike the NECR proposal which is now Ph II, this one doesn't specify Akida however I've highlighted a red section and given their experience with us so far you would have to expect the same path...no?
Proposal Information
Proposal Number:
22-1- H6.22-1780
Subtopic Title:
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition
Proposal Title:
Adaptive Deep Onboard Reinforcement Bidirectional Learning System
Small Business Concern
Firm:
Intellisense Systems, Inc.
Address:
21041 South Western Avenue, Torrance, CA 90501
Phone:
(310) 320-1827
Technical Abstract (Limit 2000 characters, approximately 200 words):
NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop an Adaptive Deep Onboard Reinforcement Bidirectional Learning (ADORBL) processor based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. Neuromorphic processors are a key enabler to the cognitive radio and image processing system architecture, which play a larger role in mitigating complexity and reducing autonomous operations costs as communications and control become complex. ADORBL is a low-SWaP neuromorphic processing solution consisting of multispectral and/or synthetic aperture radar (SAR) data acquisition and an onboard computer running the neural network algorithms. The implementation of artificial intelligence and machine learning enables ADORBL to choose processing configurations and adjust for impairments and failures. Due to its speed, energy efficiency, and higher performance for processing, ADORBL processes raw images, finds potential targets and thus allows for autonomous missions and can easily integrate into SWaP-constrained platforms in spacecraft and robotics to support NASA missions to establish a lunar presence, to visit asteroids, and to extend human reach to Mars. In Phase I, we will develop the CONOPS and key algorithms, integrate a Phase I ADORBL processing prototype to demonstrate its feasibility, and develop a Phase II plan with a path forward. In Phase II, ADORBL will be further matured, implemented on available commercial neuromorphic computing chips, and then integrated into a Phase II working prototype along with documentation and tools necessary for NASA to use the product and modify and use the software. The Phase II prototype will be tested and delivered to NASA to demonstrate for applications to CubeSat, SmallSat, and rover flights.
Potential NASA Applications (Limit 1500 characters, approximately 150 words):
ADORBL technology will have many NASA applications due to its low-SWaP and increased autonomy. It can be used to enable autonomous space operations beyond Low Earth Orbit to establish a lunar presence, visit asteroids, and extend human reach to Mars. ADORBL can be directly transitioned to the NASA Glenn Research Center to address the needs of the Cognitive Communications Project, the Human Exploration and Operations Mission Directorate (HEOMD) Space Communications and Navigation (SCaN) Program.
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):
Commercial applications of ADORBL include remote sensing, geophysical and planetary surveying and prospecting, atmosphere, water, and land pollution monitoring, space flights and space exploration. Multispectral sensor data fusion can be used in aviation security and mine and explosives detection. Wider applications include machine vision, robotics, telemedicine, spectral medical imaging.
Duration: 6
Nice one. ThanksThe below snap shot is a copy of yesterday’s closing activity . We can clearly see the level of algorithmic trading , with the confirmed algo activity coloured yellow and the high likelihood of institutional unmarketable parcels coloured green . This clearly shows the limited buying and selling being conducted by retail shareholders , especially when you consider that the uncoloured will also include the odd pip trader . As Brainchip continue to conduct investor presentations globally and with the knowledge of millions of shares being transferred into international holdings , in my opinion it is only a matter of time before demand starts to outstrip supply . GLTAH’s
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All these Co's are having SP manipulated by Bots but probably not only by CiticorpIn relation to the Citicorp Nominees topic, I've done some more investigation. On the surface it looks like they have taken large positions in many companies listed on the ASX:
MYER
View attachment 11295
RIO TINTO
View attachment 11297
JB HIFI
View attachment 11298
Wesfarmers
View attachment 11299
AGL
View attachment 11300
CBA
View attachment 11301
BRN (not current)
View attachment 11302
Additionally, HSBC, JP Morgan, BNP Paribas Nominees, and other "nominee" companies have taken up positions too in all of the examples shown above. Knowing this now, I can perhaps conclude that these type of investments are a collective (ie smsf's, managed funds, individual investors etc), and is perhaps a good thing?
Wow... thanks for that Doz ... something to get my head aroundThe below snap shot is a copy of yesterday’s closing activity . We can clearly see the level of algorithmic trading , with the confirmed algo activity coloured yellow and the high likelihood of institutional unmarketable parcels coloured green . This clearly shows the limited buying and selling being conducted by retail shareholders , especially when you consider that the uncoloured will also include the odd pip trader . As Brainchip continue to conduct investor presentations globally and with the knowledge of millions of shares being transferred into international holdings , in my opinion it is only a matter of time before demand starts to outstrip supply . GLTAH’s
View attachment 11308
Can find their other proposals hereForm Generated on 05/25/2022 15:44:17