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If ARM was an arm, BRN would be its biceps💪!
Any thoughts on quantum AKIDA?





Mar 24, 2022

Artificial neurons go quantum with photonic circuits​

(Nanowerk News) In recent years, artificial intelligence has become ubiquitous, with applications such as speech interpretation, image recognition, medical diagnosis, and many more. At the same time, quantum technology has been proven capable of computational power well beyond the reach of even the world’s largest supercomputer.
Physicists at the University of Vienna have now demonstrated a new device, called quantum memristor, which may allow to combine these two worlds, thus unlocking unprecedented capabilities. The experiment, carried out in collaboration with the National Research Council (CNR) and the Politecnico di Milano in Italy, has been realized on an integrated quantum processor operating on single photons.
The work is published in the current issue of the journal Nature Photonics ("Experimental quantum memristor").
At the heart of all artificial intelligence applications are mathematical models called neural networks. These models are inspired by the biological structure of the human brain, made of interconnected nodes.
Just like our brain learns by constantly rearranging the connections between neurons, neural networks can be mathematically trained by tuning their internal structure until they become capable of human-level tasks: recognizing our face, interpreting medical images for diagnosis, even driving our cars.
Having integrated devices capable of performing the computations involved in neural networks quickly and efficiently has thus become a major research focus, both academic and industrial.
One of the major game changers in the field was the discovery of the memristor, made in 2008. This device changes its resistance depending on a memory of the past current, hence the name memory-resistor, or memristor. Immediately after its discovery, scientists realized that (among many other applications) the peculiar behavior of memristors was surprisingly similar to that of neural synapses. The memristor has thus become a fundamental building block of neuromorphic architectures.
A group of experimental physicists from the University of Vienna, the National Research Council (CNR) and the Politecnico di Milano led by Prof. Philip Walther and Dr. Roberto Osellame, have now demonstrated that it is possible to engineer a device that has the same behavior as a memristor, while acting on quantum states and being able to encode and transmit quantum information.
In other words, a quantum memristor. Realizing such device is challenging because the dynamics of a memristor tends to contradict the typical quantum behavior.
By using single photons, i.e. single quantum particles of lights, and exploiting their unique ability to propagate simultaneously in a superposition of two or more paths, the physicists have overcome the challenge.
In their experiment, single photons propagate along waveguides laser-written on a glass substrate and are guided on a superposition of several paths. One of these paths is used to measure the flux of photons going through the device and this quantity, through a complex electronic feedback scheme, modulates the transmission on the other output, thus achieving the desired memristive behavior.
Besides demonstrating the quantum memristor, the researchers have provided simulations showing that optical networks with quantum memristor can be used to learn on both classical and quantum tasks, hinting at the fact that the quantum memristor may be the missing link between artificial intelligence and quantum computing.
“Unlocking the full potential of quantum resources within artificial intelligence is one of the greatest challenges of the current research in quantum physics and computer science”, says Michele Spagnolo, who is first author of the publication in the journal Nature Photonics.
The group of Philip Walther of the University of Vienna has also recently demonstrated that robots can learn faster when using quantum resources and borrowing schemes from quantum computation. This new achievement represents one more step towards a future where quantum artificial intelligence become reality.

Source: University of Vienna
 
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Over on the other place I used harp on about how the term "real time" processing had a specific meaning in the world of semiconductors and that AKIDA technology processes in real time and faster than the human brain. I have extracted the following from the application Rocket posts above and leave it to you to consider the implications:

"The TPU classification engine can process 280,000 inferences per second, but the response time remains around 10 ms. Defense applications requiring real-time processing, such as GPS-less navigation in the jammed battlefield. With digital electronics, such as TPU, the first issue is the processing latency. Real-time feedback based on such a latency (i.e. ~10 ms) would limit the processing bandwidth of only 100 Hz. Hypersonic aircraft and missile tracking, for example, requires feedback loop latency of under 1 ms.The second issue is the bandwidth of each data channel. For example, command of the radio spectrum requires real-time processing of many GHz signals, e.g. suppressing jamming and interference in adversarial environments. This is only made possible with reconfigurable hardware that does not depend on synchronous clocks. The third issue is, defense applications need edge devices with predominantly low size, weight and power (SWaP)."

My opinion only DYOR
FF

AKIDA BALLISTA

 
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BHTech has proposed to the United States Navy an implementation strategy using neuromorphic processors to accommodate modern SWaP and performance requirements of the warfighter

SWaP explained
The other important criteria that goes hand in hand with SWaP is COTS. When Tensor Innovation Partners were first identified by @uiux back in 2020 the fact of AKIDA being COTS was a great asset to its adoption by NASA and this became clear as NASA/DARPA acquisition policies were found and revealed by the 1,000 Eyes and Vorago was revealed as an EAP.

The dots are looking quite large and very dark on this one.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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Potato

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Essentially, the chips can be used in anything. It's more about which industry wants it the most.
I would have thought that the Car Industry would be at the forefront of BRN's mind. Assuming it is and with the world's fast tracked change to a more clean energy/efficient mode of transportation, i would think we are on the verge of signing something very good.

I would have thought the money was in the car industry, not the mobile industry.
 
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Potato

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Screen Shot 2022-03-27 at 9.18.46 am.png


With the combined experience of Sean and Viana in this industry, i would say (IMO) that we are not too far off a deal.
 
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Essentially, the chips can be used in anything. It's more about which industry wants it the most.
I would have thought that the Car Industry would be at the forefront of BRN's mind. Assuming it is and with the world's fast tracked change to a more clean energy/efficient mode of transportation, i would think we are on the verge of signing something very good.

I would have thought the money was in the car industry, not the mobile industry.
Most certainly there is money in automotive for Brainchip but remember the acting CEO Peter van der Made, the then VP of Sales and Marketing Rob Telson put forward last year that they were going to saturate the Edge market. Not we are going to saturate an Edge market. They also used the word ubiquitous to describe what they had planned for AKIDA and did not qualify it as just being the automotive market where this was going to happen. The new CEO Sean Hehir has not stated otherwise than his one comment about focus.

Then we have both Renesas and MegaChips who cover more than just automotive and MegaChips actually list mobile phones as a potential use case for AKIDA technology.

Then there is the Nanose SniffPhone idea which clearly needs a mobile phone to fulfil the description.

There are so many other Smart Health applications which can be processed through mobile phones but if they cause the phone to need a recharge every 30 minutes are likely not going to be picked up but a 3 to 5 day phone life they become the marketing edge for a phone company.

I was reading an article yesterday probably posted here by someone but it was basically saying that do not expect your new phone to be much more revolutionary than the last one because battery life was greatly restricting added innovations.

I am not saying Brainchip is in bed with a mobile phone company but I am saying it cannot be discounted on the basis of known facts.

Also on the Mercedes EQXX front remember the concept also includes turning it into a technology hub linked to your Smartphone, your Smartoffice, your Smarthome it could be argued that just this one known fact makes it more likely than not that phones using AKIDA technology are already on the table.

My opinion only DYOR
FF

AKIDA BALLISTA
 
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I was very taken with the Chief Financial Officer's statement in his presentation to German investors that AKIDA technology was going to disrupt industries that did not exist yet. It is very hard to imagine an industry that does not exist yet without thinking you are as was said in the Castle 'dreaming'.

Occasionally though I come across things that are far from dreaming and just now I found this article covering a recently released patent from Suzuki and as the article states there is no one yet manufacturing boots and pants containing the sensors necessary to make it work. Wearable sensors now where have I heard that mentioned recently?

Not mentioned in the article but a boot sensor could monitor your pulse which might be useful to emergency responders.


My opinion only DYOR
FF

AKIDA BALLISTA
 
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Potato

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Most certainly there is money in automotive for Brainchip but remember the acting CEO Peter van der Made, the then VP of Sales and Marketing Rob Telson put forward last year that they were going to saturate the Edge market. Not we are going to saturate an Edge market. They also used the word ubiquitous to describe what they had planned for AKIDA and did not qualify it as just being the automotive market where this was going to happen. The new CEO Sean Hehir has not stated otherwise than his one comment about focus.

Then we have both Renesas and MegaChips who cover more than just automotive and MegaChips actually list mobile phones as a potential use case for AKIDA technology.

Then there is the Nanose SniffPhone idea which clearly needs a mobile phone to fulfil the description.

There are so many other Smart Health applications which can be processed through mobile phones but if they cause the phone to need a recharge every 30 minutes are likely not going to be picked up but a 3 to 5 day phone life they become the marketing edge for a phone company.

I was reading an article yesterday probably posted here by someone but it was basically saying that do not expect your new phone to be much more revolutionary than the last one because battery life was greatly restricting added innovations.

I am not saying Brainchip is in bed with a mobile phone company but I am saying it cannot be discounted on the basis of known facts.

Also on the Mercedes EQXX front remember the concept also includes turning it into a technology hub linked to your Smartphone, your Smartoffice, your Smarthome it could be argued that just this one known fact makes it more likely than not that phones using AKIDA technology are already on the table.

My opinion only DYOR
FF

AKIDA BALLISTA
well said FF.


AKIDA BALLISTA EVERYONEE
 
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Quatrojos

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Taproot

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...
4) A. Vanarse, et al, “A Review of Current Neuromorphic Approaches for Vision Auditory and Olfactory Sensors,” Frontiers in Neuroscience, vol. 10, Article 115, Mar. 2016

Akida is becoming embedded in the zeitgeist of AI...
Link did not work, so have just reposted with a little context for any new comers who may not know who Anup is.




 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Sandia Labs' latest news release from the 10th March 2022.

The researchers used the 50-million-chip Loihi platform that Sandia received approximately a year and a half ago from Intel Corp. And the article states "The next version of Loihi, said Sandia researcher Craig Vineyard, will increase its current chip scale from 128,000 neurons per chip to up to one million."

Imagine then what Akida could do with its 1.2 million virtual neurons and 10 billion virtual synapses? Interestingly enough Sandia have been aware of BrainChip for quite a while as this slide from a presentation of theirs in 2017 shows.

Extract

The findings, detailed in a recent article in the journal Nature Electronics, show that neuromorphic simulations using the statistical method called random walks can track X-rays passing through bone and soft tissue, disease passing through a population, information flowing through social networks and the movements of financial markets, among other uses, said Sandia theoretical neuroscientist and lead researcher James Bradley Aimone.

“Basically, we have shown that neuromorphic hardware can yield computational advantages relevant to many applications, not just artificial intelligence to which it’s obviously kin,” said Aimone. “Newly discovered applications range from radiation transport and molecular simulations to computational finance, biology modeling and particle physics.”





Screen Shot 2022-03-27 at 2.10.03 pm.png
 
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Taproot

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Link did not work, so have just reposted with a little context for any new comers who may not know who Anup is.




OK, link still did not work, but will if you copy and paste into your browser

Release Date: 11/16/2021​

Open Date: 11/30/2021​

Application Due Date: 01/04/2022​

Close Date: 01/04/2022​

Solicitation: 21.4​

Topic Number: A214-051​

Duration: Up to 6 months​

Amount Up To: $250K​

Most military scenarios consist of highly cluttered and dynamic scenes. Asynchronous on chip smart event cameras can eliminate cluttered scenarios with a much-reduced latency, power, and would be able to hand off images of interest to imbedded autonomous target algorithms. Development of a smart digital readout circuit, with embedded processing, containing this capability would significantly enhance infrared cameras for use in autonomous detection. The objective of this topic is to take this new technology and apply it to the 3GEN FLIR program and all other systems that use or will use 3GEN FLIR Cameras.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I was very taken with the Chief Financial Officer's statement in his presentation to German investors that AKIDA technology was going to disrupt industries that did not exist yet. It is very hard to imagine an industry that does not exist yet without thinking you are as was said in the Castle 'dreaming'.

Occasionally though I come across things that are far from dreaming and just now I found this article covering a recently released patent from Suzuki and as the article states there is no one yet manufacturing boots and pants containing the sensors necessary to make it work. Wearable sensors now where have I heard that mentioned recently?

Not mentioned in the article but a boot sensor could monitor your pulse which might be useful to emergency responders.


My opinion only DYOR
FF

AKIDA BALLISTA

Speaking of wearables FF, I guess it's inevitable that Akida will make its way into our underwear one day. Who would ever have thought that your undies could actually save your life?

 
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Not being engaged in the industry but I just stumbled across that Brainchip has a valid USB Identifier No. 12848.


No idea if these are obtained just in case or only after you have a USB ready to go.
 
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Zedjack33

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What’s a USB vendor ID (VID) and product ID (PID) and what should I do about them?

USB vendor IDs (VID) and product IDs (PID) are 16-bit numbers used to identify USB devices to a computer or other host. Each vendor ID is assigned by the USB Implementers Forum to a specific company, which in turn assign a PID to individual products.

2264B205-E48A-46F5-9B38-E0F31AFABC90.jpeg
 
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Diogenese

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Not being engaged in the industry but I just stumbled across that Brainchip has a valid USB Identifier No. 12848.


No idea if these are obtained just in case or only after you have a USB ready to go.
It's a fairly recent one - there are no 14000 + numbers. The highest numbers are in the 13600s range
 
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Hello,

since I mostly can't follow technical analysis I focus on interviews/videos for my DD.
The reason is that while you are talking and thinking at the same time, you can't do both 100% perfectly. This leads to revealing information that would not have been revealed in a written statement.

Example:
Valeo Q&A after the latest presentation (LIDAR).
Q: Is Brainchip part of the product?
A: We are not talking about the source of the IP.

It's like the interrogation in a murder case:
Q: Did you kill the man?
A: No, I couldn't not be on the golf course at the time.
Q: We never mentioned that he was killed on the golf course.


I would like to comment on one point that I personally find striking. Our CEO has been asked questions in the last two investor events (Q&A) that were answered with the same statement (wording from my memory):
1.) Is Brainchip working with the Department of Defense?
2.) Does Brainchip work with smartphone vendors?

Answer from our CEO: Not our focus.

Smart answer. However, it would have been easy to say: No - but he did not. Why? Because it would be a lie. Not our focus sounds like a no, so no further questions are asked, however Sean was just very well prepared with this answer, so that no mistake like Valeo happens to him.

Now in my opinion we have connections to Defense - the clearest one with ISL.
So we also have connections to smartphone vendors. Why is this not being voiced? In my opinion: Because of the huge impact/competitive advantage it creates for the customer to use Akida.

View attachment 3211

So what we can see are NDAs that don't reveal customer names but products are talked about: Drones, vibration analysis for rails, self-driving cars, etc.

And then there seem to be NDAs (or other agreements with customers) that are meant to keep topics a complete black box --> defense, smartphones, ...

But now to my point. In the Robohub podcast with Rob (Mimicking the Five Senses, on a Chip | Ep 348) Rob makes an interesting statement starting at minute 10:30 approx. Here he first talks about "vehicles to go over a thousend miles on a charge" (okay okay, Merc - got it). And then he makes the statement: "phones that would be able to last 3 to 5 days on a charge. Those are the type of things you're gonna see new technologies such as what we've designed with Akida start to change the way devices are architectured and which will allow us to have a lot more freedom and flexibility from wearables all the way through to new devices that will be introduced."

Okay okay stop.

Why is he mentioning smart phones? --> Wearables are a market.
Okay got it.
But why is he saying that these will last 3-5 days on one battery charge? Not 2-4 or 4-6 or twice as long as before or significantly longer than today.... No, he says 3-5 days, right after saying earlier that the savings in the car are a factor of 5-10 copared to their current solution. To me the statement seems like results from a customer working with Akida. The statement came directly and without raising doubts. It does not sound like an idea but a fact that he is talking about.

I know my reasoning is on shaky ground, maybe because I am not a native speaker, but this sentence from Rob + the statement from Sean convince me.


View attachment 3210

All the best
FKE
The customer, needs to hurry up and release it, my phone is in need of an upgrade!..
 
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Thought this was interesting and worth a mention:

Nokia are partnered with Intuitive Machines and they are partnered with AWS &
file.png

Intuitive Machines
  • Nov 17, 2021

  • 2 min

Northrop Grumman Announces Team for NASA’s Next-Generation Lunar Terrain Vehicle​


via Northrop Grumman



DULLES, Va. – Nov. 16, 2021 – Northrop Grumman Corporation (NYSE: NOC), is teaming up with AVL, Intuitive Machines, Lunar Outpost, and Michelin to design a Lunar Terrain Vehicle (LTV) to transport NASA’s Artemis astronauts around the lunar surface. This team provides multi-disciplinary expertise that is ready to deliver an innovative solution to NASA for lunar surface mobility”

It is a very interconnected world that Brainchip inhabits and as AKIDA is good enough for Mercedes Benz to publicly endorse I find it very hard to dismiss these connections forming as they do a continuous circle NASA - NOKIA NASA - Intuitive Machines, AWS -NASA, NASA - Northrop Grumman, NASA - BRAINCHIP, Mercedes -BRAINCHIP, Mercedes - NOKIA, NOKIA - NASA.

My opinion and speculation only DYOR
FF

AKIDA
 
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