AusEire
Founding Member. It's ok to say No to Dot Joining
The ASX investor is in here with us! He'll appreciate the share I'm sure
I'll watch this tomorrow 
BRN Discussion Ongoing
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The ASX investor is in here with us! He'll appreciate the share I'm sure
I'll watch this tomorrow Really I wonder under what NameThe ASX investor is in here with us! He'll appreciate the share I'm sure
AusEire
Founding Member. It's ok to say No to Dot Joining
I could hazard a guessReally I wonder under what Name
i am trying to guess that Hazard now LolI could hazard a guess
HopalongPetrovski
I'm Spartacus!
He did a good job as usual.The ASX investor is in here with us! He'll appreciate the share I'm sure
I always repost them on my facebook page as he discusses the stock in a sensible and well considered way, without being too gushy and gives an even and fair report of our current status.
If you're reading this ASX , Thank you for your coverage.
I find your reports in accord with my own feelings on BRN and look forward to meeting you, perhaps at our $5 party later this year?
AKIDA BALLISTA
AKIDA EVERYWHERE
GLTAH
AusEire
Founding Member. It's ok to say No to Dot Joining
Could be relevant................
SensiML adds AI Capabilities with Bosch Sensortec
Big announcement coming ✓ SensiML adds AI capabilities to Arduino Nicla Sense Me with Bosch Sensortec sensors ➤ Read more on our website!www.bosch-sensortec.com
View attachment 3132
Smart cats eyes:
SensiML uses ML to recognize road noises, but it is not an ML invention. It is an application of ML used for traffic sensing.
The ML could use Akida.
US11080994B2 Smart road sensor
[0017] In operation, the road sensor can provide information in a local mode, a connected mode, or both. The processor 35 on the PCB will have undergone machine learning based ‘training’ to ‘teach’ it the different patterns of sound, vibration, and other sensor data that correspond to traffic insight events of interest. This occurs prior to its installation but may include ongoing learning from data gathered during operation used to update and improve the algorithm.
Violin1
Regular
I am Ironman
HopalongPetrovski
I'm Spartacus!
I am Bwian!
Hi Bravo,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.
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.www.eetasia.com
I have a vague recollection (or imagining) of ReRAM/MemRistors) being mentioned as a future option for Akida, but I never understood how that could be, because ReRAM/MemRistors are analog. While that theoretically makes them closer to wetware, there are problems in practice, such as manufacturing variability which imposes limits on size and accuracy.
An analog NN is outside the scope of BrainChip's patents which relate to digital NNs.
So let me think about it ...
Nope!
Attachments
Welease Wodwick!
Quatrojos
Regular
You can't be ASX Investor; you don't say 'moving forward' often enough...
Bravo
If ARM was an arm, BRN would be its biceps💪!
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I wonder who they are referencing
DARPA is focusing its investments on a third wave of AI that brings forth machines that understand and reason in context.
DARPA is focusing its investments on a third wave of AI that brings forth machines that understand and reason in context.
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US Patent Application for ANNOTATION OF TIME SERIES DATA AND VALIDATION FOR GENERATING MACHINE LEARNING MODELS Patent Application (Application #20220092474 issued March 24, 2022) - Justia Patents Search
Conventionally, applying analytics on dataset is the scarcity of labelled data. With increase of data there is cost fact effecting nature of servicing required for data (e.g., cost in terms of resource and time and effort is high for data annotation). Though data is analysed, it may be prone to...
patents.justia.com
Patents Assigned to Tata Consultancy Services Limited - Justia Patents Search
Justia - Patents - Patents and Patent Application Resources
patents.justia.com
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