BRN Discussion Ongoing

[Learning]

An intresting read.

10 years later, deep learning ‘revolution’ rages on, say AI pioneers Hinton, LeCun and Li

On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.

venturebeat.com

It's great to be a shareholder 🏖

 

[Fact Finder]

Hey FactFinder, just want to point out it wasn't me who first noticed it..
Rise from the Ashes, made note of it one time and I think it may have been Wilzy123, before that?..

I'm pretty sure the funds, would go off of the official releases and not the false movement data the ASX peddles?..

But anyway, since you mentioned the "conspiracy" word and considering your post earlier today, about Brainchip being on a very strict watchlist (obviously they don't like us ).
Maybe we should be pointing to the elephant in the room, which is...
Are the ASX purposely not including us (and other companies) in their Top 5 movement list?..

I have saved a copy of the September rebalance and will be checking now, to see if any of these companies, have made a seamless transition, into being reported in the Top 5 movements.
Should even check the June companies as well actually..

I know someone mentioned that LKE Lake Resources (June rebalance) was also not having their Top 5 movements, recorded by the ASX..

Logic would say, that if there really was a problem, none of the companies, in at least the last 2 rebalances (both additions and removals) would be working in the ASX's S&P/ASX200 Top 5 movements, listed on their website, as fact.

Or is it..
"Umm sorry, yeah.. It just doesn't seem to work, when we punch in your company's code and um.. Yeah.. A couple of others"...

Which would mean, we would still be staring at the elephant..

In any case, the ASX, is obviously a totally unprofessional organisation, to continue to post information on their website, which is only "sometimes" correct, depending on which companies are involved..

But you have such a cool name. Sorry FMF & Wilzy.

Regards
FF

AKIDA BALLISTA

 

[Diogenese]

An intresting read.

10 years later, deep learning ‘revolution’ rages on, say AI pioneers Hinton, LeCun and Li

On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.

venturebeat.com

It's great to be a shareholder 🏖

There's no possum up that back-propagation tree -

Hinton says he always knew the deep learning “revolution” was coming.

“A bunch of us were convinced this had to be the future [of artificial intelligence],” said Hinton, whose 1986 paper popularized the backpropagation algorithm for training multilayer neural networks.

“We managed to show that what we had believed all along was correct.”

LeCun, who pioneered the use of backpropagation and convolutional neural networks in 1989, agrees. “I had very little doubt that eventually, techniques similar to the ones we had developed in the 80s and 90s” would be adopted, he said.


https://brainchip.com/brainchip-announces-the-akida-architecture-a-neuromorphic-system-on-chip/
BrainChip Announces the Akida™ Architecture, a Neuromorphic System-on-Chip - BrainChip

The Akida NSoC uses a pure CMOS logic process, ensuring high yields and low cost. Spiking neural networks (SNNs) are inherently lower power than traditional convolutional neural networks (CNNs), as they replace the math-intensive convolutions and back-propagation training methods with biologically inspired neuron functions and feed-forward training methodologies. BrainChip’s research has determined the optimal neuron model and training methods, bringing unprecedented efficiency and accuracy. Each Akida NSoC has effectively 1.2 million neurons and 10 billion synapses, representing 100 times better efficiency than neuromorphic test chips from Intel and IBM. Comparisons to leading CNN accelerator devices show similar performance gains of an order of magnitude better images/second/watt running industry standard benchmarks such as CIFAR-10 with comparable accuracy.

@Fact Finder was talking about "them" using 8-bit, 16-bit, 32-bit maths earlier, pointing out that Akida only needs 1 to 4 bits to achieve comparable accuracy, with far less power and in much less time. Akida brings together the best of digital (precision) together with an approximation of the best of analog (spikes - a single bit being a direct analog of a spike, 2 or 4 bits being a more accurate hybrid digital/analog spike).

It was the insight of Simon Thorpe's group in recognizing that the strongest spikes were detected first by the eye that led to the N-of-M coding which allows the discarding of the M-N spikes which arrive after the first N spikes and consequently reduces the number of spikes to be processed without significant loss of accuracy. Serendipitously, or by dint if diligent research, PvdM was the only person on the planet who had devised a digital circuit which could utilize this phenomenon to advantage. N-of-M - the source of the sauce ... and let's not forget STDP.

 

[cosors]

Strange, I was just shown 1494 pages here. Then it would be suddenly only 1492. I am not mistaken. How can two pages disappear?

 

[Rise from the ashes]

Strange, I was just shown 1494 pages here. Then it would be suddenly only 1492. I am not mistaken. How can two pages disappear?

Shrooms

 

[Sirod69]

Amir Sherman​

Founder , Global Director Business Development , Country Manager - TinyML , Technology Director & Embedded-SoMs Specialist

Happy to share a special presentation I am working on to showcase the difference between GP MCU based on CortexMx or MPU based on CortexAx with/out AI Accelerator to Neural Engine IP to Neuromorphic Solutions to ML Accelerators - What is the best to use for your application utilize Edge Impulse Platform .
Next Month at

 

[Learning]

There's no possum up that back-propagation tree -

Hinton says he always knew the deep learning “revolution” was coming.

“A bunch of us were convinced this had to be the future [of artificial intelligence],” said Hinton, whose 1986 paper popularized the backpropagation algorithm for training multilayer neural networks.

“We managed to show that what we had believed all along was correct.”

LeCun, who pioneered the use of backpropagation and convolutional neural networks in 1989, agrees. “I had very little doubt that eventually, techniques similar to the ones we had developed in the 80s and 90s” would be adopted, he said.


https://brainchip.com/brainchip-announces-the-akida-architecture-a-neuromorphic-system-on-chip/
BrainChip Announces the Akida™ Architecture, a Neuromorphic System-on-Chip - BrainChip

The Akida NSoC uses a pure CMOS logic process, ensuring high yields and low cost. Spiking neural networks (SNNs) are inherently lower power than traditional convolutional neural networks (CNNs), as they replace the math-intensive convolutions and back-propagation training methods with biologically inspired neuron functions and feed-forward training methodologies. BrainChip’s research has determined the optimal neuron model and training methods, bringing unprecedented efficiency and accuracy. Each Akida NSoC has effectively 1.2 million neurons and 10 billion synapses, representing 100 times better efficiency than neuromorphic test chips from Intel and IBM. Comparisons to leading CNN accelerator devices show similar performance gains of an order of magnitude better images/second/watt running industry standard benchmarks such as CIFAR-10 with comparable accuracy.

@Fact Finder was talking about "them" using 8-bit, 16-bit, 32-bit maths earlier, pointing out that Akida only needs 1 to 4 bits to achieve comparable accuracy, with far less power and in much less time. Akida brings together the best of digital (precision) together with an approximation of the best of analog (spikes - a single bit being a direct analog of a spike, 2 or 4 bits being a more accurate hybrid digital/analog spike).

It was the insight of Simon Thorpe's group in recognizing that the strongest spikes were detected first by the eye that led to the N-of-M coding which allows the discarding of the M-N spikes which arrive after the first N spikes and consequently reduces the number of spikes to be processed without significant loss of accuracy. Serendipitously, or by dint if diligent research, PvdM was the only person on the planet who had devised a digital circuit which could utilize this phenomenon to advantage. N-of-M - the source of the sauce ... and let's not forget STDP.

Many thanks Dio,

When I read the article and posting it, I was intending to say "They forgot to add PVDM and AM to the article".
But I didn't as I would be commenting something above my pay grade.

It's amazing and privileged, that we shareholders has such knowledgeable individuals sharing their knowledge for me learn.

Learning.
Learning everyday.

 

[Learning]

Strange, I was just shown 1494 pages here. Then it would be suddenly only 1492. I am not mistaken. How can two pages disappear?

My only show 1493.

Learning.

 

[Fullmoonfever]

Just an update to last Tues chart.

Snuck through the 0.92...not totally convincing yet....then smacked that indicated 1.00 & a small rejection.

Hopefully a bit f regroup this week and a force & hold through the 1.00 would be good.

View attachment 16408

Just a diff look at a pretty simple visual of key areas.

View attachment 16409

Same charts as prev post.

We tried the 1.00 again after my prev post but sadly got rejected again for the moment.

Has come back to that bottom trend line and needs hold and move up from here.

I am liking to the tightening of the MA's being the 2nd chart with a spread on 13, 34, 50, 100 & 200 MA at just 0.04.

Added a couple of circles to highlight where we had similar convergences this year.

Not only shorters at play but suspect some of the big end also in the lead up to the rebalance.

Added another chart last pic with auto fib based on each prev quarter values circling where June 17 spike & today was on chart.

Always find it so amazing to see our "fair, transparent, open" mkt end up with a conveniently similar SP level for the high volume rebalance after 3 mths trading.....not

Rant over

 

[Deadpool]

While I am an investor and sometimes trader in Brainchip Inc and maintain a positive overall view of the prospects for success I do not always agree with decisions made by the Brainchip Inc and when that is the case I invariably take my concerns to the company privately.

Fortunately this company unlike some I have invested in will engage in robust debate with me and on my preferred terms which is in writing. Often I am not persuaded by the company but to date though not persuaded they have convinced me that the basis of the decision they have made is their genuine attempt to comply with the law and look after the best interests of all shareholders.

On the issue of the non publication of the last granted patent I had the following discussion and as this issue is still gnawing at some I have sort permission to publish the following email discussion I had with Brainchip Inc on the subject:

Fact Finder: I am very unhappy with this news regarding the patent...

Brainchip: I understand your frustration. There are good reasons for the non-announcements. It has nothing to do with any attempt to distance ourselves from the retail shareholders at all. Let me begin by saying that the decision to announce or not to announce falls into a very grey area of the guidance which I can share with you. Even after reading my justification below, you may not agree but hopefully you can see this from our perspective.

In this case, applying the Continuous Disclosure standards by asking, would this information make an informed investor buy or sell the stock, we believe the answer is that it is unlikely that it would. This decision was not taken lightly by any means. We had lengthy conversations with our two patent attorneys based in Perth at the research institute who advised us on this position. One of the very key differentiators of this patent from the others in the past and the ones that are pending and will be granted in the next few weeks is that this is a patent on an application of Akida and not on the very critical and core technology that makes Akida what it is. Protecting one possible use of Akida is not nearly as critical as protecting the “secret sauce”. And while this is one potential way of encrypting data, according to our best and brightest, “encryption is a dime a dozen” and there are many other ways to do it. For someone to infringe upon this patent, first they have to invent their own neuromorphic chip and then do voice encryption using two chips and an SNN.

As you know, the applications of Akida are endless and if we take the position that we are going to do an announcement for each and every one of them, it would be dilutive to the more valuable and critical announcements and we will have reverted back to being the very “noisy” BRN that drew some very unwanted attention and criticism from the ASX over the past few years. We are on their closely watched list and everything we do is scrutinized to death to ensure we are not pumping the stock so we err on the side of caution.


Fact Finder: It seemed to myself and others that this patent allowed for the use of the Hey Mercedes to securely interact with home and office as proposed by Mercedes Benz. If this is only in part correct then it is clearly significant.

Brainchip: A Patent on an application of Akida which in of itself is not a unique application (encryption) although it may be unique to do so on a neuromorphic chip. This does not protect our core Akida technology and although we felt the research was valuable and worth patenting, we do not foresee any immediate commercial applications or demand for this.

Fact Finder: Secondly having regard to the five criteria for the grant of any patent, as well as the time and cost involved unless the company does not concern itself with the proper allocation of scarce resources all patents by their very nature are important. Thirdly for the company, to as Tony Dawe suggested to another shareholder, decide this patent can be consigned to a footnote in the October 4C is to raise concerns about the true motives of management.

Brainchip: The next few patents that are issued will definitely be announced. When you see them, the difference will be very clear.

I have previously mentioned that in my communications and discussions at the AGM I formed the view that Brainchip Inc is very, very, very concerned about having any adverse entries made against them by the ASX. While Brainchip Inc has never stated why unlike every other company I have invested in they have such deep rooted concerns I am of the opinion that as it is the end goal to list on the Nasdaq that this is the reason. The Nasdaq looks at the character of the company and its history on other exchanges in determining how and when any new company will be permitted to list. Brainchip Inc wants an unblemished good name and in my opinion goes overboard to comply beyond strictly with the ASX Rules.

My opinion only DYOR
FF

AKIDA BALLISTA

Once again you have shown how must of a bloody legend you are @FactFinder, a living natural treasure, I reckon.

Regardless if my next born is male or female, it will be known as @Factfinder.

Some say, they may have wrote Richard Roxburgh's character "Rake" after your court room antics? Legendary

 

[cosors]

Ok for this article I need a long time. But it seems to be a good overview. Comes from Russia but Altai is not discussed.) Who likes to read along:

"Neuromorphic artificial intelligence systems​

14 September 2022
Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of currently available neuromorphic AI projects in which these limitations are overcome by bringing some brain features into the functioning and organization of computing systems (TrueNorth, Loihi, Tianjic, SpiNNaker, BrainScaleS, NeuronFlow, DYNAP, Akida, Mythic). Also, we present the principle of classifying neuromorphic AI systems by the brain features they use: connectionism, parallelism, asynchrony, impulse nature of information transfer, on-device-learning, local learning, sparsity, analog, and in-memory computing. In addition to reviewing new architectural approaches used by neuromorphic devices based on existing silicon microelectronics technologies, we also discuss the prospects for using a new memristor element base. Examples of recent advances in the use of memristors in neuromorphic applications are also given."
https://www.frontiersin.org/articles/10.3389/fnins.2022.959626/full


Presumably there will already be a nice summary here once I have digested ¼-⅓ of it


Thanks @Diogenese for your great explanation in the last post!

 

[Sirod69]

I just found a message from Argo AI through a like from Rob Telson, which we've been keeping an eye on for a long time

“And taken together it sends a singular message to companies: Argo is open for business.”
This week we launched our complete line of autonomous vehicle products and services. Read more in TechCrunch!

Argo AI kicks into high gear to build a business out of AV tech​

Ford, VW-backed startup launches product line for commercial robotaxi and autonomous delivery services​

....
Argo’s central product, as one might expect, is the self-driving system that combines software and hardware including its own lidar sensor, high-definition maps and a back-end cloud-based tool called Hub that supports the AVs when out in field — and when they return.
....
The company’s public introduction of its product line shows larger ambitions to land a variety of customers beyond its two big-name backers Ford and VW.

Argo AI kicks into high gear to build a business out of AV tech | TechCrunch

Argo AI, the autonomous vehicle developer backed by Ford and VW Group, revealed this week an ecosystem of products and services designed to support

techcrunch.com

 

[Sirod69]

well and what do we have to read here again

"I hear far too many people say "Tesla solved full self driving", "You have to try it, wow".

Let's get this straight. Tesla is an amazing company with amazing products that made huge leaps in many fields, but unfortunately no, it did not solve full self driving.
Want examples?
Just watch 15 seconds of each of these videos of the latest FSD version, I clipped them for you. There are dozens more online.

Example - tries to go on a red light, does not recognize the lane:
https://lnkd.in/dx4QTCXg

Example - does not recognize speed bumps:
https://lnkd.in/d7Yv2udc

Example - does not handle construction:
https://lnkd.in/d5mcZMGM

Example - stops because of a rider but for no reason:
https://lnkd.in/dcsE53bm

Example - well...:
https://lnkd.in/dN2gBXyP

"Full self driving" is when all of the above cases, and a thousand others, will be solved to very high degree of validation.

I wasn't surprised to read about recent lawsuits against Tesla for alleged false advertising:
https://lnkd.in/dHf6kFNT

Tesla's website clearly states: "The currently enabled Autopilot, Enhanced Autopilot and Full Self-Driving features require active driver supervision and do not make the vehicle autonomous".

But...
* How many people read the fine print?
* Isn't the name "Full Self Driving" misleading?
* Did you know that currently 100,000 consumers are paying $15K to "test" Tesla's FSD? Are they all certified safety drivers?
* How many times did Musk boast how superior FSD is vs. human drivers, and that "no intervention would even be needed"? Here's an example from 2019 (!): https://lnkd.in/dQ6uPN5K

Companies must advertise their products for what they actually are and capable of, not just in the fine print, but everywhere. Especially when it comes to safety. I'm curious to see how these lawsuits end up and whether Musk starts using a different, more truthful tone."

 

[Sirod69]

something is also happening at our partner Prophesee

The gang’s all here! All the Propheseers from around the world met in Aix-en-Provence for 3 days of energizing, inspiring and fun in-person sessions.

100 Propheseers
25 nationalities
Thoughtful sessions about the future
A Koh-Lanta style challenge
Cocktails and catching-up

Thanks to all these inspiring humans for your dedication to our VISION to bring HUMAN-INSPIRED technologies to solve the most critical challenges of #MachineVision and #AI, making machines safer, smarter and more efficient.

Special thanks to Adrian Johnson and Anaisa Seneda for the fun and stimulating workshops.

 

[GazDix]

Tweet from the AI Hardware Summit

 

[GazDix]

Tweet from the AI Hardware Summit

Also thank you Fact Finder. Just to echo everyone else's sentiments on this forum, you are a bloody legend.

 

[stockduck]

Sorry, if posted before....find it interesting to read....and their customer base....


from 12.09.2022:

Expanded Partnership Between Arteris and Arm to Accelerate Automotive Electronics - Arteris

Arm and Arteris expand partnership to accelerate automotive electronics.

www.arteris.com

Customers - Arteris

A database of Arteris customers, including network-on-chip interconnect IP and SoC integration technology customers.

www.arteris.com

...like Socionext, Megachip, Renesas.... and many others

 

[thelittleshort]

Carnegie Mellon University in the action

Defense Advanced Research Projects Agency (DARPA) on LinkedIn: #selfdriving #offroad | 13 comments

High-tech #selfdriving vehicles are speeding through a second, and more challenging, #offroad terrain experiment for DARPA’s RACER program. Best of luck to… | 13 comments on LinkedIn

www.linkedin.com

 

[Deleted member 118]

Very accidental...lol

Weekends were never the same without it when I was younger and yes the gif below is probably as similar as I can find to tripping of ya face but without the eyes everywhere

 

[thelittleshort]

Is this something Akida could be helping with?