BRN Discussion Ongoing

Diogenese

Top 20
@Diogenese can I get an opinion on this pretty please?


In traditional computing systems, calculations are usually performed by constantly transferring data between off-chip memory and processors. For AI workloads, though, there’s a far higher computational requirement, as they generally require large amounts of data. The more AI is infused into application workloads, the more critical it is to have an efficient system where both the general-purpose CPU cores and AI cores are tightly integrated on the same chip.

I'm not a fan of the Z16
1649322631806.png
 
  • Haha
  • Like
Reactions: 8 users

Esq.111

Fascinatingly Intuitive.
Hi Esq,

You are too noughty.
10^3 = 1000.
Evening Diogenese,

Thankyou for correcting me.

so

$1,000,000,000.00 to $1,000,000,000,000.00 addressable market.

I'm a little deflated & liqured.

Cheers

Regards,
Esq .
 
  • Like
  • Haha
Reactions: 13 users

Slade

Top 20
I can’t say as a still shot of a face that features throughout does not set the scene but if you are watching it for entertainment you are in the wrong theatre. LOL

It is the underlying principles. It was actually shown as a training aid at Duntroon about fifty years ago. That is how I became aware of it initially.

FF.
You are right, moving footage is more interesting. Starring Hotcrapper
 
Last edited:
  • Like
  • Love
  • Haha
Reactions: 5 users

AusEire

Founding Member.
Lol.

What a joke the crapper is

View attachment 3875
The Crapper is such a joke. My post was moderated in 30 seconds.
That's hilarious! I was able to literally abuse one of the downrampers the other day and called him a c***. It's still up 😂😂 The moderators are a joke. That place will soon be nothing. TSE is the future 🔥
 
  • Like
  • Fire
  • Haha
Reactions: 30 users

Diogenese

Top 20
Good to know (y)(n)
Hi FUB (nee MC),

iBM have a lot of MemRistor-type NN patents, eg:

WO2010133399A1 ELECTRONIC LEARNING SYNAPSE WITH SPIKE-TIMING DEPENDENT PLASTICITY USING PHASE CHANGE MEMORY

1649323879621.png



US2010223220A1 ELECTRONIC SYNAPSE

1649323981968.png


... but more recently they seem to have become aware of digital NNs:

WO2014080300A1 NEURAL NETWORK

1649324667121.png



Funnily enuf, IBM talk about "digital neurons', but they don't describe them in this patent.

However, there is a picture of one with accompanying description in:
US2014180987A1 TIME-DIVISION MULTIPLEXED NEUROSYNAPTIC MODULE WITH IMPLICIT MEMORY ADDRESSING FOR IMPLEMENTING A NEURAL NETWORK

1649325129688.png


[0010] FIG. 2 is a block diagram of a time-division multiplexed neurosynaptic module, in accordance with an embodiment of the invention;

A processor 150 that multiplexes computation and control logic for n neurons 11 is an n-way processor 150 , wherein n is an integer value. The computation circuit 170 of an n-way processor 150 is time-multiplexed n times
.


1649325246683.png
[0019] FIG. 8 illustrates an example computation circuit of a multi-way parallel processor device, in accordance with an embodiment of the invention;

This is a synchronous circuit. Akida is asynchronous.

But they continue to flirt with memRistors.

PS: The fan reference was a visual pun.
 
  • Like
  • Fire
  • Love
Reactions: 9 users

Getupthere

Regular

I know this is not akida however this new facial recognition system will be in the all new Mazda cx60 which will be on sale late this year in Australia.

Mazda achieved its best year in sales since 1994, with a total of 332,756 vehicles sold in 2021.

Now Renesas will release their products with akida IP later this year.

Guess who there customers are.

Globally, Japan's Honda Group sold about 4.5 million automobiles in its 2021 fiscal year

In 2021, Nissan worldwide car sales increased by a moderate 0.9% to 4,065,014 compared to 4,029,166 vehicles sold in 2021.

Toyota captured 10.5 million sales in 2021, which represented a 10.1 per cent jump on its 2020 result.

Go BRN!
 
  • Like
  • Fire
Reactions: 13 users

alwaysgreen

Top 20
That's hilarious! I was able to literally abuse one of the downrampers the other day and called him a c***. It's still up 😂😂 The moderators are a joke. That place will soon be nothing. TSE is the future 🔥
They don't care about abuse. They only care when you show they are wrong. Clearly being manipulated by the mods (who are the ones downramping and shorting the stock).
 
  • Like
  • Fire
Reactions: 6 users

alwaysgreen

Top 20

I know this is not akida however this new facial recognition system will be in the all new Mazda cx60 which will be on sale late this year in Australia.

Mazda achieved its best year in sales since 1994, with a total of 332,756 vehicles sold in 2021.

Now Renesas will release their products with akida IP later this year.

Guess who there customers are.

Globally, Japan's Honda Group sold about 4.5 million automobiles in its 2021 fiscal year

In 2021, Nissan worldwide car sales increased by a moderate 0.9% to 4,065,014 compared to 4,029,166 vehicles sold in 2021.

Toyota captured 10.5 million sales in 2021, which represented a 10.1 per cent jump on its 2020 result.

Go BRN!
20,000,000 cars. Only 1 Akida in each at $15 = A shit tonne!
 
  • Like
  • Fire
  • Haha
Reactions: 11 users
What many do not take notice of is every NASA SBIR application requires the applicant to state what additional markets beyond the NASA use case they see their solution finding traction.

The Vorago application complied and put a very large number on the commercial opportunity beyond NASA for a successfully hardened AKD1000 chip.

The thing is you need to look at NASA with a stereoscope not a magnifying glass as it is a three D opportunity.

A company wins an SBIR and supplies it’s product to NASA which effectively tells the market this product has been proven and tested to the highest standard.


If you are in the market for an extreme edge revolutionary technology the comfort of NASA validation cannot be over stated.

In the interim NASA has paid the applicant to develop the product and then bought the resultant product.

If we go specifically to Brainchip it has a product that will having been assessed by NASA is already being considered by the US Military. This being a successful consideration then Brainchip’s AKIDA technology product will be needed in the 100’s of millions of use cases across all the potential offered by NASA/DARPA as well as the commercial market.

The politics surrounding this promotion of applicants by NASA is found in its historical need to continually justify to the American people the value of having a space program. The greater the economic success of a NASA applicant the better.

My opinion only DYOR
FF

AKIDA BALLISTA
 
  • Like
  • Fire
  • Love
Reactions: 26 users

wilzy123

Founding Member
  • Haha
  • Like
Reactions: 7 users

wilzy123

Founding Member
  • Haha
  • Fire
  • Like
Reactions: 10 users

Diogenese

Top 20
As a reward for our good behaviour I have just brought over from the NASA thread the following extracts from an SBIR software contract which Rocket had linked and challenged me to highlight anything of interest. Well the following is my take on what was interesting about this SBIR.

It is in my opinion pretty amazing stuff when you consider they mention Loihi and True North in the full knowledge that they cannot meet the specified requirements under COTS and SWaP. (PS: Somewhere I read something about Brainchip and open sourced hardware recently.) The link to the full document is at the end.
My opinion only DYOR
FF

AKIDA BALLISTA

DESCRIPTION: Conventional computing architectures are running up against a quantum limit in terms of transistor size and efficiency, sometimes referred to as the end of Moore’s Law. To regain our competitive edge, we need to find a way around this limit. This is especially relevant for small size, weight, and power (SWaP)-constrained platforms. For these systems, scaling Von Neumann computing becomes prohibitively expensive in terms of power and/or SWaP.Biologically inspired neural networks provide the basis for modern signal processing and classification algorithms.

Implementation of these algorithms on conventional computing hardware requires significant compromises in efficiency and latency due to fundamental design differences. A new class of hardware is emerging that more closely resembles the biological neuron model, also known as a spiking neuron model; mathematically describing the systems found in nature and may solve some of these limitations and bottlenecks. Recent work has demonstrated performance gains using these new hardware architectures and have shown equivalence to converge on a solution with the same accuracy [Ref 1].The most promising of the new class are based on Spiking Neural Networks (SNN) and analog Processing in Memory (PiM) where information is spatially and temporally encoded onto the network. It can be shown that a simple spiking network can reproduce the complex behavior found in the neural cortex with significant reduction in complexity and power requirements [Ref 2]……

“It is recommended to use open source languages, software, and hardware when possible.”…

PHASE III:
Refine algorithms and test with hardware. Validate models with data provided by Naval Air Warfare Center (NAWC) Aircraft Division (AD)/Weapons Division (WD). Transition model to the warfare centers. Development of documentation, training manuals, and software maintenance may be required.Heavy commercial investments in machine learning and artificial intelligence will likely continue for the foreseeable future. Adoption of hardware that can deliver on orders of magnitude in SWaP performance for intelligent mobile machine applications is estimated to be worth 10^9-10^12 global dollars annually.) Provide the software tools needed to optimize the algorithms and hardware integration. This effort would be a significant contribution to this requirement. Industries that would benefit from successful technology development include automotive (self-driving vehicles), personal robots, and a variety of intelligent sensors.

KEYWORDS: Spiking Neural Network, Neuromorphic Computing, Modeling, Convolution Neural Network, Analog Memory, Processing in Memory

https://www.sbir.gov/node/1696107

Modeling Neuromorphic and Advanced Computing Architectures​

OBJECTIVE:
Develop a software tool to optimize the signal processing chain across various sensors and systems, e.g., radar, electronic warfare (EW), electro-optical/infrared (EO/IR), and communications, that consists of functional models that can be assembled to produce an integrated network model used to predict overall detection/classification, power, and throughput performance to make design trade-off decisions.

I'll just slip into this phone box and change into my MetaTF getup.
 
  • Like
  • Haha
  • Love
Reactions: 18 users

wilzy123

Founding Member
They barred me for being a truth bomber, what say you ?
Truth is one thing. You perpetually post irrelevant junk. As I said, go back to hotcrapper where that is actually tolerated.
 
  • Like
  • Fire
Reactions: 13 users

wilzy123

Founding Member
😮 how's go fuck yourself sound?
Enjoy your last moments here
 
  • Like
  • Fire
  • Haha
Reactions: 6 users

wilzy123

Founding Member
  • Like
  • Fire
Reactions: 6 users

wilzy123

Founding Member
  • Like
Reactions: 1 users

buena suerte :-)

BOB Bank of Brainchip
It will be hard to quantify. The value sits not so much in the units sold but more in the absolute validation it brings. What higher level of approval could you hope for than having your new disruptive tech being adopted by NASA. The critical risks and harsh environment NASA works within demand nothing but the absolute best in terms of technology, reliability and functionality. I cant think of another company or brand that is more well know for pushing the limits of technology and humankind.
WELL SAID ..... Totally agree
 
  • Like
  • Fire
Reactions: 7 users

wilzy123

Founding Member
  • Like
Reactions: 1 users

wilzy123

Founding Member
I actually thought you were really cool.i loved your giffs on HC. I supported you.... I guess you you can't really pick who's who ... wow
Please, keep rationalising your junk posts with some emotional comments. It just makes it easier for everyone.
 
  • Like
Reactions: 1 users
Top Bottom