BRN Discussion Ongoing

[Fact Finder]

After am watching Zulu in stages. Five sittings so far and I am up to the riveting scene below. Does it get any better than this!

View attachment 3877
I mean, does this get any better?

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.

 

[Slade]

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.

I have to confess, I read the wiki about the movie first which puts it into perspective. I was interested to find out that it was filmed not so far from the historical location and that most of the extras are actual Zulu warriors. I wonder how they felt about acting in a movie where 1400 of them get beat by such a small foreign battalion.

 

[Fact Finder]

Isnt it a given that NASA be using AKIDA? They just haven't told us yet that it's a signed deal.. how could they not?

Yes it is a given but what we know allowed for us to conclude possible uses in CubeSats and camera type sensors.

What we have here with SiFive at NASA could be a complete paradigm shift by NASA away from all its traditional partners and computer technology to RISC-5 Ai platforms.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

I have to confess, I read the wiki about the movie first which puts it into perspective. I was interested to find out that it was filmed not so far from the historical location and that most of the extras are actual Zulu warriors. I wonder how they felt about acting in a movie where 1400 of them get beat by such a small foreign battalion.

They probably did not tell them until the final scene. LOL FF

 

[Dhm]

I might have been a bit vague with why this is exciting to me.

Yesterday in one of the articles announcing the Brainchip SiFive partnering there was a three questions section and Kang answering on behalf of SiFive
stated that Brainchip was bringing hardened Ai IP to their platform.

NASA was paying to harden AKIDA.

SiFive’s platform is open sourced hardware and with Brainchip’s assistance it will offer a hardened SCNN integrated.

What other opened sourced hardware product of this type that is COTS and SWaP ready is there in the World particularly if you exclude from consideration all those countries that would not meet NASA/DARPA national security requirements.

Also I am excited about how much NASA thinks this will be worth commercially. I know I am shallow being excited about the huge financial rewards.

My opinion only DYOR
FF

AKIDA BALLISTA

I am publishing this because I didn't understand what 'hardened' AI means, and I thought I may not be the only one - though I could be -

 

[Fact Finder]

I am publishing this because I didn't understand what 'hardened' AI means, and I thought I may not be the only one - though I could be -

View attachment 3878

We are talking two different things. He said “hardened” not “hard”:

What are hardened electronics?

Radiation-hardened electronics, also called rad-hard electronics, are electronic components (circuits, transistors, resistors, diodes, capacitors, etc.), single-board computer CPUs, and sensors that are designed and produced to be less susceptible to damage from exposure to radiation and extreme temperatures (-55°C to ...

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Deleted member 118]

Now does anybody else need more evidence to solidify there investment in Brainchip?

There is a volcano brewing and when this baby is about to erupt, look out!

 

[Dhm]

We are talking two different things. He said “hardened” not “hard”:

What are hardened electronics?

Radiation-hardened electronics, also called rad-hard electronics, are electronic components (circuits, transistors, resistors, diodes, capacitors, etc.), single-board computer CPUs, and sensors that are designed and produced to be less susceptible to damage from exposure to radiation and extreme temperatures (-55°C to ...

My opinion only DYOR
FF

AKIDA BALLISTA

Thanks FF. Mind you, the definition I looked up did sound convincing.....

 

[Townyj]

We are talking two different things. He said “hardened” not “hard”:

What are hardened electronics?

Radiation-hardened electronics, also called rad-hard electronics, are electronic components (circuits, transistors, resistors, diodes, capacitors, etc.), single-board computer CPUs, and sensors that are designed and produced to be less susceptible to damage from exposure to radiation and extreme temperatures (-55°C to ...

My opinion only DYOR
FF

AKIDA BALLISTA

Beat me to it FF

 

[Foxdog]

Yes it is a given but what we know allowed for us to conclude possible uses in CubeSats and camera type sensors.

What we have here with SiFive at NASA could be a complete paradigm shift by NASA away from all its traditional partners and computer technology to RISC-5 Ai platforms.

My opinion only DYOR
FF

AKIDA BALLISTA

Unheard of in only the recent past but now with players like SpaceX in the market NASA needs to become more nimble to remain relevant - such a paradigm shift might be exactly what is going on.

 

[Fact Finder]

We are talking two different things. He said “hardened” not “hard”:

What are hardened electronics?

Radiation-hardened electronics, also called rad-hard electronics, are electronic components (circuits, transistors, resistors, diodes, capacitors, etc.), single-board computer CPUs, and sensors that are designed and produced to be less susceptible to damage from exposure to radiation and extreme temperatures (-55°C to ...

My opinion only DYOR
FF

AKIDA BALLISTA

Just to be absolutely sure I am not relying upon a flawed memory I found the quote:

“VentureBeat: Does BrainChip use any of Arm’s IP in its chips? Arm is known for low-power and high performance.”

Kang: BrainChip has discussed Arm IP for their product line. Arm processors have built a reputation for low-power based on comparisons to x86-based products. SiFive Intelligence products compare well to Arm products through offering improved performance-per-area of up to 30% combined with a single ISA for simpler programming, and a modular approach that aligns well to working with hardened AI IP such as developed by BrainChip.”

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

Hardened as in radiation-hardened
Not hard as in complex
And definitely not hard as in

 

[M_C]

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

The IBM Research innovations powering IBM z16

From 7 nanometer node chips to built-in AI acceleration and privacy, IBM Research was behind many of the groundbreaking aspects of the new IBM z16 system.

research.ibm.com

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.

 

[Okeydokey01]

The other thing I wondered was what would NASA be worth in $$$ to us, it's not like they're going to need millions of chips are they?

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.

 

[Build-it]

The other thing I wondered was what would NASA be worth in $$$ to us, it's not like they're going to need millions of chips are they?

It would look good on our logo board to start with and a household name.

The post from FF re nasa & Sifive makes sense, the more I read re Sifive the more I like even blind Freddy can see that.

Edge Compute.

 

[Okeydokey01]

I'll agree on the kudos element...but recon space x and Elon would do better for kudos in this day and age.
Wtf nasar doing for 'humanity' they going to grow vegies in space to feed the needy ?

Perhaps you misinterpreted what I was trying to say, my point was with regards to "pushing the limits of humankind" by this I mean redefining what is possible by us as a species. That coupled with the harsh environment and extreme conditions of space travel demands the harshest of testing and highest level of conformity of any material or technology prior to adoption.

In saying all that, I dont disagree that Tesla would bring its own level of Kudos. So why settle for one... I would be more than happy to have both join us!

 

[Esq.111]

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

Evening Fact Finder ,

Cheers for the highlights , I particularly liked the 10^9 to 10^12 projected market .

Would I be correct in assuming this is $10,000,000,000.00
To
$10,000,000,000,000.00
Addressable market.

The latter sounds goooooood.

Thankyou for all your work, Priceless, and great work fellow chippers & chippets with all the reasearch contributed .

I have been a little distracted of late , added 40m squared to my back garden shed. She absorbed 30 tones of cement & half of BHPs steel output .
Almost completed.

Very much looking foward to having one job , Watching the market, in real time.

Keep up the great work all.

Regards,
Esq.

 

[Diogenese]

I'm still learning but should know by now that it's definately AKIDA doing the heavy lifting.. I need to study what cortex is all about and what a MPU is.

So this merger with Si5 create a cortex to rival arms so that Arms won't be needed or does arm have over arching IP they both need.?

So the Risc-v gives up too 300x efficiency power and speed how much more will AKIDA add ?

algorithms. The table below shows power and performance boost from adding a custom extension to execute these algorithms. The boost ranges from a 20-fold performance speedup to a 300-fold power savings. The development flow to add custom extensions to achieve these performance gains is made possible by new generation of design automation tools.

With Custom Extension	FIR Filter	CRC32	3DES
Speedup	20X	>140x	>300X
Power Efficiency	30X	>240X	>300X

For the developer to profile the application, tools such as the RISC-V reference model and Simulator from Imperas Software Ltd. can be used to explore options for optimization and identify candidate instructions that could be accelerated with dedicated hardware. The developer can then use a tool such as the Andes Custom Extension (ACE) to create an instruction to accelerate the target function. Using the Imperas

Hi Alfie,

Cortex is an ARM trade mark.

RISC = Reduced Instruction Set Computer. There have been several versions of RISC.

The processor architecture for a RISC processor is arranged to implement the RISC instructions. By way of example, you can't run 64-bit programs on 32-bit processors very well.

https://en.wikipedia.org/wiki/Reduced_instruction_set_computer

In computer engineering, a reduced instruction set computer (RISC) is a computer designed to simplify the individual instructions given to the computer in order to realise a task. Unlike the instructions given to a complex instruction set computer (CISC), with a RISC computer, a task might require more instructions (code) in order to realise a task, because the individual instructions are written in simpler code. The goal is to offset the need to process more instructions by increasing the speed of each instruction, in particular, implementing an instruction pipeline may be simpler given simpler instructions.[1]

The key operational concept of the RISC computer is that each instruction performs only one function (e.g. copy a value from memory to a register). The RISC computer usually has many (16 or 32) high-speed, general-purpose registers with a load/store architecture in which the code for the register-register instructions (for performing arithmetic and tests) are separate from the instructions that grant access to the main memory of the computer. The design of the CPU allows RISC computers few simple addressing modes[2] and predictable instruction times that simplify design of the system as a whole.

The conceptual developments of the RISC computer architecture began with the IBM 801 project in the late 1970s, but these were not immediately put into use. Designers in California picked up the 801 concepts in two seminal projects, Stanford MIPS and Berkeley RISC. These were commercialized in the 1980s as the MIPS and SPARC systems. IBM eventually produced RISC designs based on further work on the 801 concept, the IBM POWER instruction set architecture, PowerPC, and Power ISA. As the projects matured, many similar designs, produced in the late 1980s and early 1990s, created the central processing units that increased the commercial utility of the Unix workstation and of embedded processors in the laser printer, the router, and similar products.
...
Since 2010 a new open source instruction set architecture (ISA), RISC-V, has been under development at the University of California, Berkeley, for research purposes and as a free alternative to proprietary ISAs. As of 2014, version 2 of the user space ISA is fixed.[24] The ISA is designed to be extensible from a barebones core sufficient for a small embedded processor to supercomputer and cloud computing use with standard and chip designer defined extensions and coprocessors. It has been tested in silicon design with the ROCKET SoC which is also available as an open-source processor generator in the CHISEL language.
..
Some CPUs have been specifically designed to have a very small set of instructions – but these designs are very different from classic RISC designs, so they have been given other names such as minimal instruction set computer (MISC) or transport triggered architecture (TTA).

RISC architectures have traditionally had few successes in the desktop PC and commodity server markets, where the x86-based platforms remain the dominant processor architecture. However, this may change, as ARM-based processors are being developed for higher performance systems.[36] Manufacturers including Cavium, AMD, and Qualcomm have released server processors based on the ARM architecture.[37][38] ARM is further partnered with Cray in 2017 to produce an ARM-based supercomputer.[39] On the desktop, Microsoft announced that it planned to support the PC version of Windows 10 on Qualcomm Snapdragon-based devices in 2017 as part of its partnership with Qualcomm. These devices will support Windows applications compiled for 32-bit x86 via an x86 processor emulator that translates 32-bit x86 code to ARM64 code.[40][41] Apple announced they will transition their Mac desktop and laptop computers from Intel processors to internally developed ARM64-based SoCs called Apple silicon; the first such computers, using the Apple M1 processor, were released in November 2020.[42] Macs with Apple silicon can run x86-64 binaries with Rosetta 2, an x86-64 to ARM64 translator.[43]

Outside of the desktop arena, however, the ARM RISC architecture is in widespread use in smartphones, tablets and many forms of embedded device. While early RISC designs differed significantly from contemporary CISC designs, by 2000 the highest-performing CPUs in the RISC line were almost indistinguishable from the highest-performing CPUs in the CISC line.[44][45][46]


ARM uses RISC-4. The hardware to run RISC-4 is at present some way ahead of the RISC-V hardware of Si5 who are still in the early stages as a company. However, incorporating an Akida NN may help bridge the gap and give Si5 THE EDGE.

This slide shows Si5's plans for the use of NN acceleration in their higher end multi-core processors.

Si5 would have been in the EAP, so will have a good understanding of how Akida can be combined into their NN plans.

 

[Diogenese]

Evening Fact Finder ,

Cheers for the highlights , I particularly liked the 10^9 to 10^12 projected market .

Would I be correct in assuming this is $10,000,000,000.00
To
$10,000,000,000,000.00
Addressable market.

The latter sounds goooooood.

Thankyou for all your work, Priceless, and great work fellow chippers & chippets with all the reasearch contributed .

I have been a little distracted of late , added 40m squared to my back garden shed. She absorbed 30 tones of cement & half of BHPs steel output .
Almost completed.

Very much looking foward to having one job , Watching the market, in real time.

Keep up the great work all.

Regards,
Esq.

Hi Esq,

You are too noughty.
10^3 = 1000.

 

[Quatrojos]

Truth be known , the military have more use cases for rad hardened chips. Dyor on that... lots to be found..

Redirect Notice

www.google.com

Heavy industry, too...