BRN Discussion Ongoing

[FabricatedLunacy]

What does this mean? And why is it on same day as 2.0 announcement?

Thanks.

 

[Bravo]

Neuromorphic chips to tackle AI’s power consumption​

Friday 29th of September 2023
Reading time: 4 min


● Numerous studies are underway to develop chip architectures based on neural networks with the potential to meet the latency and energy consumption requirements of AI.
● The goal is to create autonomous embedded systems that no longer need to communicate with servers, which will benefit from much lower energy consumption.
● This new approach to computing, which makes use of processors with onboard memory, will drive innovation in the automotive, robotics and healthcare sectors.
Will autonomous on-board sensors soon be able to spot movements in live footage, identify them and thus recognize what is happening in a video, with no need for the vast amounts of energy needed for data transfers? Such technology worthy of the scenario of Minority Report could be made possible by neuromorphic computing, which draws its inspiration from networks of neurons in the human brain. “As it stands, computing tasks of this kind can only be done by sending data to servers, which process it before sending it back to autonomous systems, which requires enormous amounts of energy”, points out Corentin Delacour, a doctoral student and researcher at Montpellier University working on the European NeurONN project, which is developing neuromorphic chip architectures for oscillatory neural networks. A response to the physical challenges implied by Moore’s law, neuromorphic computing could pave the way for more powerful and hugely energy-efficient chip architectures. Neuromorphism takes its inspiration from the functioning of biological neural networks, favouring parallel rather than sequential architectures, meaning that several operations can be carried out at the same time, rather than in succession. As Fabio Pavanello, a photonics researcher at the IMEP-LAHC laboratory, explains, it may hold the key to overcoming difficulties associated with “traditional architectures, which have limitations in terms of energy efficiency and on the level of communication between memory and processors.”

Low-power embedded computing solutions for networked devices in automobiles, robotics, health care and other sectors.

“In photonic technology-based neuromorphic chips, latency is reduced to the speed of light,” explains Pavanello. The idea is to directly integrate memory into the processors of these chips, which would eliminate the need for constant communication between distinct blocks and result in a ten- to 100-fold reduction in power consumption. “Combining these two essential components would result in faster data processing and a significant decrease in latency,” adds the researcher.

Applications in a comprehensive range of sectors​

The challenge is therefore to develop architectures in the form of neural networks. “When the scope of a mathematical problem increases, the number of feasible solutions increases exponentially,” points out Corentin Delacour. “The oscillating neural networks (ONN) we work on allow us to solve optimization problems that involve conducting large numbers of calculations in real time.” Other research teams are studying alternative architectures that address the same needs, like spiking neural networks (SNNs). Madeleine Abernot, another doctoral student and researcher at the University of Montpellier, explains what these are: “The goal is to provide embedded computing solutions for networked devices in automobiles, robotics, health care, agriculture and other sectors. We have for example developed proof of concept for a FPGA chip with a start-up, A.I.Mergence, for on-board computer vision detection.” Jean-Baptiste Floderer, an expert in neuromorphic engineering and founder of Neurosonics, a company specialising in electronics for medical devices is focused on yet another field of application for the new chips: “Today, start-ups like Prophesee are working on neuromorphic cameras inspired by the functioning of the human retina. Detecting pixel changes in microseconds, they are able to carry out complex image processing in real time, with a minimum of computation and minimal power. Given that they mimic human neurons, neuromorphic chips could also be used to connect living neuronal networks with artificial neuronal networks for therapeutic purposes. The hope is that could be used to stimulate areas of the brain or spinal cord with such precision that it would be possible to treat neurological diseases, and even paralysis and blindness.”

Scaling up​

Intel has a developed a neuromorphic chip christened Loihi 2, based on asynchronous circuits with the capacity to learn in real time using synaptic plasticity mechanisms. In other words, this is a chip that is directly inspired by the real-world functioning of neuron synapses, which in biology, permit the passing of nervous signals between neurons that enable them to communicate. This latest generation of neuromorphic chips also offers advanced features for neuronal connectivity, enabling more complex interactions between neurons and more accurate modelling of the brain. In industry, companies like General Electric and Siemens are exploring possibilities offered by neuromorphic electronics for the optimization of manufacturing processes, that make use of autonomous systems capable of real-time learning to adapt to variations in production. In the field of security, companies like AnyVision and DeepCam are using neuromorphic computing for tasks like facial recognition, behavioural analysis and fault detection.

AI and IoT devices to benefit from the potential of neuromorphic chips - Hello Future Orange

New chips based on neural networks could soon solve the problems of latency and energy consumption associated with AI.

hellofuture.orange.com

 

[Bravo]

IC design houses keen on edge computing amid Nvidia dominance in cloud AI chip market

Nvidia may be clearly the leader in the AI chip market, but most IC design houses do not intend to challenge its dominance. Instead they are focusing their efforts on edge computing, according to industry sources.

www.digitimes.com

 

[Cgc516]

Normal！

 

[Frank Zappa]

The positive announcement that we have all been looking forward to and what do we get . A near 10% drop in the share price . The reason that I put it down to was that I doubled my share holding today .

 

[Diogenese]

Someone posted about a 10% drop after today's announcement - just another example - the penis mightier than the sword.

 

[Frank Zappa]

As I did not make that comment this has been reported!

Apologies. David . I doubled my share holding today . Not you . When I seem to purchase shares the share price always drops by the end of the day. I messed up when making the post . My error .

 

[Diogenese]

Someone posted about a 10% drop after today's announcement - just another example - the penis mightier than the sword.

Apologies for the typo - I omitted the exclamation mark!

 

[Murphy]

Someone posted about a 10% drop after today's announcement - just another example - the penis mightier than the sword.

The previous is not mightier than many things in this world..... swords included!!

 

[Murphy]

The previous is not mightier than many things in this world..... swords included!!

Penis, not previous!

If you don't have dreams, you can't have dreams come true!!

 

[hamilton66]

Rob said quote:
"We have been very active with current and future customers on 2.0 for a while. Making very good progress. We have evaluations at all points of the sales cycle. We are happy with the progress we are making."

I got his email reply as of this morning. So if we could count on what Rob said, I guess at least one customer should be very close to the end of this sales cycle if I understood it correctly.

S, this will prove to be a definitive moment for the BRN sp, 1 way or the other. If we don't c major adoption in the next 6 mths, I'll be very concerned about my investment decision. GLTA

 

[davidfitz]

Thanks I misread, my bad.

It was a stressful day having made such a large investment but I suppose that's exactly what is was, an investment. With some luck we will both make some decent coin in the not too distant future

 

[Frank Zappa]

Thanks I misread, my bad.

It was a stressful day having made such a large investment but I suppose that's exactly what is was, an investment. With some luck we will both make some decent coin in the not too distant future

I calculated a positive outcome from my purchase today and that was I decreased my average share price from $1.53 to 86c as I last added to my holding back when it was $1.12c . Then I thought that was cheap compared to what I originally paid. I have not waived from researching and reading others research and felt confident to press the buy button today . I worked out my error . I started to post and it added onto your post . I then decided not to post and then wiped the whole post with yours included. Later I posted again and it started where I previously decided not to post . All good . I agree with others when they say we must look forward to a positive announcement re revenue and a commitment from interested partners .

 

[Yoda]

Someone posted about a 10% drop after today's announcement - just another example - the penis mightier than the sword.

Couldn't agree more . . .

 

[davidfitz]

I am going to try and have a break from the forum as I have spent nearly every working day reading posts on both this site and the old one. I have also monitored the price every day since I purchased my first lot in March 2015. In hindsight this probably has not been a very healthy approach but I live a pretty boring life.

Wishing all genuine holders the best over the next few months as I believe that this period will be paramount in our long term success.

Keep up the great work, it has kept me well informed and helped me get through the worrying times .

 

[Diogenese]

I am going to try and have a break from the forum as I have spent nearly every working day reading posts on both this site and the old one. I have also monitored the price every day since I purchased my first lot in March 2015. In hindsight this probably has not been a very healthy approach but I live a pretty boring life.

Wishing all genuine holders the best over the next few months as I believe that this period will be paramount in our long term success.

Keep up the great work, it has kept me well informed and helped me get through the worrying times .

The TSEx methodone is where you only look once a week.

 

[buena suerte :-)]

I am going to try and have a break from the forum as I have spent nearly every working day reading posts on both this site and the old one. I have also monitored the price every day since I purchased my first lot in March 2015. In hindsight this probably has not been a very healthy approach but I live a pretty boring life.

Wishing all genuine holders the best over the next few months as I believe that this period will be paramount in our long term success.

Keep up the great work, it has kept me well informed and helped me get through the worrying times .

I am totally with you davidfitz .. I also have monitored the SP every day since 2015! ...(Just has to be done!!

I have tried to back away a little from the forum and watching the daily movements... But with absolutely no success My blood type is 'BRN Positive'


Great times imminent IMO

See you soon!!!

 

[Frank Zappa]

The TSEx methodone is where you only look once a week.

I have tried that . My stock broker once said to check a stock like this every day to ensure that it was still listed . I never asked him if he was joking but I have taken his advice ever since . At least I have never been that beholden to reply’s to posts that has caused me to drop my phone in the toilet .

 

[rgupta]

I calculated a positive outcome from my purchase today and that was I decreased my average share price from $1.53 to 86c as I last added to my holding back when it was $1.12c . Then I thought that was cheap compared to what I originally paid. I have not waived from researching and reading others research and felt confident to press the buy button today . I worked out my error . I started to post and it added onto your post . I then decided not to post and then wiped the whole post with yours included. Later I posted again and it started where I previously decided not to post . All good . I agree with others when they say we must look forward to a positive announcement re revenue and a commitment from interested partners .

Don't worry you are not alone here. I assume a lot is changing with management style of LDN to Sean. Hopefully it will come out positive, but it is becoming more speculative especially when management is not taking control of present sp situation.
If you go by Sean's wording at 1st AGM
I am standing right in front of you and judge me on my work. The revenue will be lumpy ( although no lump after a year and half)
Last AGM he could not even read his script with full confidence.
But even after all those things you will find me next to you. We all are hopeful and that is it!

 

[Monkeymandan]

Hi Semmel,

Welcome to the BRN discussion. It will make for a change from reindeer politics.

Your timing is impeccable as I doubt the price will ever be this low again.

The BRN business model is licensing the IP for the Akida digital SNN processor IP, in a similar manner to the way ARM licences its RISC-IV processor IP. There is a "sign-on" licence fee of a few million $AU, and royalties are paid on sales.

Akida consists of an array of neuromorphic processing units (NPUs). The NPUs are grouped into nodes (4 NPUs per node). The number of nodes can be chosen depending on the complexity of the intended task from 2 nodes up to 64 nodes. Several Akida chips can be combined for even larger tasks. Akida 2 will come in 3 different classes, E being 2 to 4 nodes, S being up to 8 nodes, and P being up to 64 nodes. The licence fee and royalties will be calculated on the number of nodes chosen.

Renesas has a licence for 2 nodes which will be integrated into a microprocessor, and this is said to be sufficient to perform inference (object classification/identification) at 30 frames per second.

Megachips has a licence for Akida although we have not seen the details we know that they were involved in the development of Akida 1500, which involved the production of the Akida chip by Global Foundries on 22 nm FDSoI (Fully depleted Silicon on Insulator, a very low leakage loss technology.

Akida has been produced by Vorago in radiation hardened format for NASA.

Mercedes used Akida in its EQXX giving the example of the key word spotting being 5 to 10 times more energy efficient than alternatives.

BRN has been working with the lidar manufactures Valeo for some years, and Akida is said to have a sweet spot for lidar.

Akida has also been trialed with Prophesee's DVS (dynamic vision system) event camera performing object classification such as hand gesture recognition, again greatly outperforming the Synsense model.

Akida is processor-agnostic and can be used with any sensor input. It is "programmed" by an associated CPU processor loading model libraries and weights and configured into the appropriate arrangement of layers and nodes, but, once configured, the CPU does not take part in the inference/classification which is all carried out in the Akida silicon without any software being involved. This makes Akida both highly energy efficient and extremely high speed.

Akida also uses N-of-M coding, which is much more efficient than rate coding previously used in NNs. This coding is based on the fact the information is carried in the first spike to arrive from an optical sensor, while rate coding counts the spike frequency to extract the information. BRN purchased Spikenet (Simon Thorpe's spin-off company) which developed N-of-M coding.

This is the patent for the NPU along with my favourite drawing:

US11468299B2




View attachment 46151


Footnote: For those who think @Semmel is a troll or is lazy, I recommend you have a look at the contributions to the Talga threads. Semmel's contributions and depth of analysis are a major cornerstone of the complex discussion of the native title court issues Talga is subjected to.

Trawling through this thread BRN would be a very difficult and inefficient way of gathering information for someone starting from scratch.

Very well said. That’s how to welcome a new holder - as I am.

Thanks to you and @cosors for unknowingly pricking my interest in BRN a few months back.