BRN Discussion Ongoing

overpup

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Townyj

Ermahgerd
1997 Called... They want their template back
It reminds me of my old Myspace Acc.. just missing some sparkles around the border.
 
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rgupta

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What about the other companies that entered the ASX200 at the same time, CXO is now .92 and NHC is $5.07.
I assume LKE and BRN is different as both of them lack sufficient revenue.
So asx holders are not very favourable to non income generating companies. May be !
 
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Fox151

Regular
That website looks suss as. If it wasn't for the fact that I don't anticipate any Israeli companies as being the type of company to ensure our success, I'd be worried.
 
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rgupta

Regular
I don't know whether I am right or wrong but Chris Steven had done 1st sales deal for brianchip and that too without any revenue.
I assume it is more like partnership and ecosystem and should be aligned to Rob Telson.
But of late Rob is not in much limelight either!
 
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Mazewolf

Regular
this came up for me...looks ok, if low on detail...

 
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AARONASX

Holding onto what I've got
1997 Called... They want their template back
It might not be much to look at...but once upon a time their was a small Australia company trying to do the same (while a bit better page) and was mocked back then, still is depending on who you ask. End of the day if they fulfill their role then I am happy.
 
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Pappagallo

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this came up for me...looks ok, if low on detail...



Why do people overlay the superhero music to things like this? Makes absolutely no sense.
 
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Adam

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Not a dig at Israel but a few of the companies I used to work with from there had similar styles of website.
I guess they just market things differently.
It's a mindset of "let's focus on the product and not the marketing"..be thankful that the English was correct! Israel is the startup nation, don't forget that..Bought another 10K just now..couldn't resist these prices. Might take a while, but we shall get there...
 
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Cardpro

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Yes. I think Akida will be used as a voice detector accelerator with Nvidia for the in-cabin infotainment. The thing about key word spotting is that it is always on, and needs to process all sounds to pick out the key words.

Akida can also be used with the driver monitor (becoming compulsory in EU).

It is probably also in Valeo's Scala 3 lidar, but Luminar hopes to be used in MB lidar in a couple of years.

Scala 2 was also used in Toyota's level 3 qualification.
It would be amazing if it's in Scala 3... that would send this to the moon and make me regret for not picking up more at these level... but as I've been buying more to average down (as I averaged up over time) I am invested in brn too muchhhhh

Plzzzzz soooooon
 
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keyeat

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Jesus Christ the website looks awful


Welcome_to_IPro_2021___IPro.jpg


I'd be looking for a refund on that MBA !
 
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Combining Geologists and NN.



:)
 
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GDJR69

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Does anyone know where we are up to with Akida 1500?
 
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Shadow59

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Slowly creeping towards the tipping point.

Management better have damn well positioned us and Akida to be able to smash that "digital wall" when the cracks open :LOL:


Preparing For The “Digital Wall”​


  • By 2025, traditional computing technologies will hit a digital wall, forcing the shift to new computing paradigms such as neuromorphic computing.

The volume of data being created continues to rise exponentially. Data is a critical asset for organizations, providing a foundation for digital services, AI, natural language processing (NLP), deep neural networks, and much more. These technologies are also compute-intensive. Organizations are reaching a point where their data storage and computing are unable to keep up with the growth of data and technological advancements.

This is what Gartner has termed the “digital wall”. In order to keep pace with competitors and market demands, organizations will begin to test emerging storage and compute technologies, including DNA storage, glass storage, neuromorphic computing, and extreme parallelism.

The challenge for IT teams over the next two to three years is how to integrate new technologies and reliably manage big data across disparate environments.
 
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Foxdog

Regular
Slowly creeping towards the tipping point.

Management better have damn well positioned us and Akida to be able to smash that "digital wall" when the cracks open :LOL:


Preparing For The “Digital Wall”​


  • By 2025, traditional computing technologies will hit a digital wall, forcing the shift to new computing paradigms such as neuromorphic computing.

The volume of data being created continues to rise exponentially. Data is a critical asset for organizations, providing a foundation for digital services, AI, natural language processing (NLP), deep neural networks, and much more. These technologies are also compute-intensive. Organizations are reaching a point where their data storage and computing are unable to keep up with the growth of data and technological advancements.

This is what Gartner has termed the “digital wall”. In order to keep pace with competitors and market demands, organizations will begin to test emerging storage and compute technologies, including DNA storage, glass storage, neuromorphic computing, and extreme parallelism.

The challenge for IT teams over the next two to three years is how to integrate new technologies and reliably manage big data across disparate environments.
Isn't that exactly what they've been doing by expanding our ecosystem partners and product offerings?
Slowly creeping towards the tipping point.

Management better have damn well positioned us and Akida to be able to smash that "digital wall" when the cracks open :LOL:


Preparing For The “Digital Wall”​


  • By 2025, traditional computing technologies will hit a digital wall, forcing the shift to new computing paradigms such as neuromorphic computing.

The volume of data being created continues to rise exponentially. Data is a critical asset for organizations, providing a foundation for digital services, AI, natural language processing (NLP), deep neural networks, and much more. These technologies are also compute-intensive. Organizations are reaching a point where their data storage and computing are unable to keep up with the growth of data and technological advancements.

This is what Gartner has termed the “digital wall”. In order to keep pace with competitors and market demands, organizations will begin to test emerging storage and compute technologies, including DNA storage, glass storage, neuromorphic computing, and extreme parallelism.

The challenge for IT teams over the next two to three years is how to integrate new technologies and reliably manage big data across disparate environments.
I think that's exactly what they've been doing by expanding our ecosystem partners and product offerings. IMO we are in the sweet spot, timing wise.
 
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Sirod69

bavarian girl ;-)
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2 - I.P sales and duck egg since, we have partnerships but no I.P sales since, but it's all top secret
 
IOT for all vid from about 3 weeks ago.

Not sure if posted previously.

Watch or skip to 19 min mark.

Gil Dror, CTO at SmartSense by Digi quite aware of BRN in the neuromorphic space....nice to hear.


 
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Frangipani

Regular
"The system is constantly learning.." And there-in lies the spin.
We are meant to think that the chip learns. But of course it's connected to a server and needs to be trained, so no Akida.
In fact, it's just an example of a niche we missed out on.

That’s your interpretation only. The way I see it, we are not led to believe that the chip itself is capable of learning - in fact, on-chip learning is simply not required for these solar-powered devices that can send and receive data via the LoRaWAN network, the leading standard for long-range IoT.

I already posted about these wildfire sensors a couple of weeks ago (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-305877), and this is what the company manufacturing them states on their website:

How can these sensors detect the fire? How can they know it’s a real fire but not just a burning cigarette?

The built-in artificial intelligence (AI) of the sensors is continually trained for the specific ‘smell’ of the target forest on fire. Our customers collect samples from the forest floor and send them to Germany so that we can train our AI in the lab. Over time, we will collect more and more samples from typical forests in the different parts of the world and will eventually no longer have to train the AI for new deployments as there is only a finite amount of forest types. We expect this to be the case within the first two years of operation.

Doing so allows our Silvanet system to be continuously evolving and improving and greatly minimizes any risks of false positives within the platform
.

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What the Bosch article does say is:

With the help of artificial intelligence, this sensor also analyzes the data it collects right there on the spot. If it detects a fire, it immediately sounds the alarm, sending a signal to the cloud and notifying emergency services.
(…)
The tiny “nose” that sniffs out forest fires measures just three by three millimeters. The Bosch environmental sensor installed in this forest-fire detection system is the world’s first gas sensor to feature artificial intelligence and the first to be deployed as an early wildfire warning tool. It can detect various gases, including fire gases such as hydrogen, carbon monoxide, and most hydrocarbons. The system is constantly learning and improving. Data collected from all installed sensors serves to continuously train the environmental sensors using artificial intelligence so they can detect and analyze gases with even greater accuracy. The BME AI-Studio Server software was developed specifically for this purpose.

———————————————————————————————————-

These kind of Edge AI devices would be a perfect use case for Akida, even without utilising its on-chip learning function, especially since the Bosch sensors are collecting other environmental data as well such as temperature, humidity and air pressure, and the company is also looking at future applications, e.g. involving sensors that can detect chainsaw noise to help prevent illegal logging.

Dryad explicitly state on their website they are open-minded about collaborations: “Open for integration of 3rd party sensors and applications, no single-vendor lock-in.”

So maybe we haven’t entirely missed out on that niche just yet?

Is Dryad involved solely in wildfire detection?

While our initial focus at Dryad is wildfire detection, the Bosch BME688 sensors used in Silvanet sensor devices also collect environmental data such as temperature, humidity and air pressure which is periodically sent to the Silvanet Cloud, allowing forest owners to better understand the microclimate of the forest and its influence and development of the forest heath over time.

Further planned use-cases involve sensors that can detect chainsaw noise to help prevent illegal logging.

It’s not just about forests either, our technology can also be applied to other ecosystems including lakes, rivers and oceans. At Dryad, we have ambitious plans to connect the natural world and protect our planet.
 
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