David holland
Regular
How much is a royalties worth each product to brainchip
BRN Discussion Ongoing
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Frank Zappa
Regular
Amazing drop off the cliff as well
thelittleshort
Top Bloke
Fact Finder
Top 20
I think he or she is on safe ground saying this as they use entirely different approaches and systems so are not compatible one with the other. Put'em together and what have you got? A mess. No bipperty bobbity boo.I recall someone, quoting someone else, as saying he thought AKIDA, was "better than TrueNorth and Loihi put together"!
Now that's a pretty strong statement, that I don't think either IBM or Intel, would appreciate..
But on the face of what we know and ignoring the bias, we obviously all have
This certainly seems to be the case!
But hey, this is all just hearsay
But @DingoBorat there have been a number of publications including from the US Defence Department pointing out the shortfalls with these two different technologies and even this morning the post put up by @Rocket577 included a paper out of IMEC which had the following to say:
II. COMPARISON WITH OTHER DIGITAL NEUROMORPHIC
PL ATFORMS
To the best of our knowledge, the SpiNNaker architecture
[3] is a closest neuromorphic platform to SENeCA. SpiNNaker
contains several ARM cores as the processing units connected
through an advanced single router star-type multicasting asyn-
chronous packet-switched network. SpiNNaker2 [4] added
several accelerated arithmetic processing units and advanced
power management techniques in the GF22nm technology
node. On the contrary, SENeCA uses one of the smallest open-
source RISC-V processors as the controller (not used for event
processing) together with optimized accelerators and a low-
overhead mesh-type multicasting NoC (with reduced func-
tionality compared to SpiNNaker) for sparse parallel event-
based computation. Unlike SpiNNaker which is designed for
the simulation of brain-inspired research, the primary purpose
of SENeCA is to have both the hardware and software open
for optimizations and innovations in the EdgeAI neuromorphic
computation.
On the other hand, IBM TrueNorth [5] uses a plain mesh
packet-switched network (uni-cast) but with optimized (inflex-
ible) processing cores. Each core in the TrueNorth architecture
emulates exactly 256 neurons. Each neuron has 256 input
synapses, organized in a crossbar architecture, with a single
output axon connected to 256 neurons in another core. This
optimized processing core resulted in a power-efficient neuron
update (about 26pJ). µBrain [6] goes further in optimized
processing core and allows for ultra-low-power application-
specific IP (in contrast with the multi-purpose neuromorphic
processor).
In Intel Loihi [7], the processing cores are more flexible than
TrueNorth, and the interconnect is a simple uni-cast packet-
switched mesh. Also, Loihi cores accelerate a bio-inspired
learning algorithm. The cost of this flexibility is having a
higher neuron update energy (about 80pJ) in comparison
with the TrueNorth (while using a better technology node).
Loihi2 [8] scaled up the Loihi chip by packing more neurons
and synapses in a die, using the Intel4 technology node.
Additionally, it introduced programmable neurons with micro-
code, a feature also available in SENeCA. Both Loihi chips
accelerate a specific kind of bio-inspired learning mechanism
on-chip."
(PDF) SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture
PDF | SENeCA is our first RISC-V-based digital neuromorphic processor to accelerate bio-inspired Spiking Neural Networks for extreme edge applications... | Find, read and cite all the research you need on ResearchGate
www.researchgate.net
The other thing to note about IBM's True North is it makes no claims to having application at the Edge that is not the territory it is trying to mark out for itself and still maintains it is in research.
Intel's Loihi 1 & 2 are continuously described as only research chips and in the latest release from Intel posted here Intel has stated recently that they are still to identify a use case for Loihi and it may never be produced as a commercial chip and be utilised in the cloud.
If someone wants to use a neuromorphic commercial chip off the shelf at the edge the three major players SpinNaker, IBM and Intel having nothing available in their catalogue so they are compelled to look elsewhere. Brainchip's AKIDA is the undisputed most versatile neuromorphic edge chip on the market today and can also be bought as IP.
Blind Freddie just cannot believe that the sighted people cannot see the bleeding obvious particularly when the following is there in public view for all to see:
1. Nvidia is partnered with Mercedes
2. Brainchip is partnered with Mercedes
3. SiFive is partnered with Nvidia for RISC-V
4. Brainchip is partnered with SiFive to bring Ai to RISC-V
5. Brainchip is partnered with MegaChips for automotive
6. Brainchip’s Rob Telson stated in answer about competing with Nvidia that they see Nvidia more as a partner in the future
7. Nviso is partnered with Brainchip
8. Nviso is working in robotics and is partnering with Brainchip specifically for this purpose
9. Nviso is partnered with Panasonic for robotics
10. MegaChips is also partnered with Brainchip for Industrial Robotics.
11. Brainchip is partnered with Valeo
12. Valeo is partnered with Mercedes for LiDAR
13. Valeo is partnered with Honda for LiDAR
Personally I do not believe anyone knows anymore than we do.
I believe they are just starting to catch up.
My anonymous opinion only so DYOR
FF
AKIDA BALLISTA
Bravo
If ARM was an arm, BRN would be its biceps💪!
https://www.defense.gov/News/Releas...hief-digital-and-artificial-intelligence-off/
The Department of Defence - Lyft - Ford - BrainChip
Did you know ...
On 25 April 2022 the DOD announced Dr Craig Martell as the Chief Digital and Artificial Intelligence Officer (CDAO). They said that the establishment of the CDAO is an important step forward in the department's effort to become more innovative.
Prior to this Dr. Martell served as the head of machine learning for Lyft, commencing in April 2020.
Back in 2017, Ford purchased a majority stake in small artificial intelligence startup Argo AI, to create driverless vehicles.
In 2021, Argo AI and Ford announced plans to launch at least 1,000 self-driving vehicles on Lyft’s ride-hailing network in a number of cities.
On the 25 May 2020, BrainChip entered into an Evaluation Agreement with Ford Motor Company.
My Conclusion: Therefore I deduce that there is a very good chance that Dr Craig Martell (now the Departtment of Defense's Chief Digital and Artificial Intelligence Officer) is familiar with BrainChip because he was working with Lyft as the head of machine learning at the exact same time that Ford was evaluating Akida.
IMO
The Department of Defence - Lyft - Ford - BrainChip
Did you know ...
On 25 April 2022 the DOD announced Dr Craig Martell as the Chief Digital and Artificial Intelligence Officer (CDAO). They said that the establishment of the CDAO is an important step forward in the department's effort to become more innovative.
Prior to this Dr. Martell served as the head of machine learning for Lyft, commencing in April 2020.
Back in 2017, Ford purchased a majority stake in small artificial intelligence startup Argo AI, to create driverless vehicles.
In 2021, Argo AI and Ford announced plans to launch at least 1,000 self-driving vehicles on Lyft’s ride-hailing network in a number of cities.
On the 25 May 2020, BrainChip entered into an Evaluation Agreement with Ford Motor Company.
My Conclusion: Therefore I deduce that there is a very good chance that Dr Craig Martell (now the Departtment of Defense's Chief Digital and Artificial Intelligence Officer) is familiar with BrainChip because he was working with Lyft as the head of machine learning at the exact same time that Ford was evaluating Akida.
IMO
Last edited:
I think he or she is on safe ground saying this as they use entirely different approaches and systems so are not compatible one with the other. Put'em together and what have you got? A mess. No bipperty bobbity boo.
But @DingoBorat there have been a number of publications including from the US Defence Department pointing out the shortfalls with these two different technologies and even this morning the post put up by @Rocket577 included a paper out of IMEC which had the following to say:
II. COMPARISON WITH OTHER DIGITAL NEUROMORPHIC
PL ATFORMS
To the best of our knowledge, the SpiNNaker architecture
[3] is a closest neuromorphic platform to SENeCA. SpiNNaker
contains several ARM cores as the processing units connected
through an advanced single router star-type multicasting asyn-
chronous packet-switched network. SpiNNaker2 [4] added
several accelerated arithmetic processing units and advanced
power management techniques in the GF22nm technology
node. On the contrary, SENeCA uses one of the smallest open-
source RISC-V processors as the controller (not used for event
processing) together with optimized accelerators and a low-
overhead mesh-type multicasting NoC (with reduced func-
tionality compared to SpiNNaker) for sparse parallel event-
based computation. Unlike SpiNNaker which is designed for
the simulation of brain-inspired research, the primary purpose
of SENeCA is to have both the hardware and software open
for optimizations and innovations in the EdgeAI neuromorphic
computation.
On the other hand, IBM TrueNorth [5] uses a plain mesh
packet-switched network (uni-cast) but with optimized (inflex-
ible) processing cores. Each core in the TrueNorth architecture
emulates exactly 256 neurons. Each neuron has 256 input
synapses, organized in a crossbar architecture, with a single
output axon connected to 256 neurons in another core. This
optimized processing core resulted in a power-efficient neuron
update (about 26pJ). µBrain [6] goes further in optimized
processing core and allows for ultra-low-power application-
specific IP (in contrast with the multi-purpose neuromorphic
processor).
In Intel Loihi [7], the processing cores are more flexible than
TrueNorth, and the interconnect is a simple uni-cast packet-
switched mesh. Also, Loihi cores accelerate a bio-inspired
learning algorithm. The cost of this flexibility is having a
higher neuron update energy (about 80pJ) in comparison
with the TrueNorth (while using a better technology node).
Loihi2 [8] scaled up the Loihi chip by packing more neurons
and synapses in a die, using the Intel4 technology node.
Additionally, it introduced programmable neurons with micro-
code, a feature also available in SENeCA. Both Loihi chips
accelerate a specific kind of bio-inspired learning mechanism
on-chip."
(PDF) SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture
PDF | SENeCA is our first RISC-V-based digital neuromorphic processor to accelerate bio-inspired Spiking Neural Networks for extreme edge applications... | Find, read and cite all the research you need on ResearchGate
The other thing to note about IBM's True North is it makes no claims to having application at the Edge that is not the territory it is trying to mark out for itself and still maintains it is in research.
Intel's Loihi 1 & 2 are continuously described as only research chips and in the latest release from Intel posted here Intel has stated recently that they are still to identify a use case for Loihi and it may never be produced as a commercial chip and be utilised in the cloud.
If someone wants to use a neuromorphic commercial chip off the shelf at the edge the three major players SpinNaker, IBM and Intel having nothing available in their catalogue so they are compelled to look elsewhere. Brainchip's AKIDA is the undisputed most versatile neuromorphic edge chip on the market today and can also be bought as IP.
Blind Freddie just cannot believe that the sighted people cannot see the bleeding obvious particularly when the following is there in public view for all to see:
1. Nvidia is partnered with Mercedes
2. Brainchip is partnered with Mercedes
3. SiFive is partnered with Nvidia for RISC-V
4. Brainchip is partnered with SiFive to bring Ai to RISC-V
5. Brainchip is partnered with MegaChips for automotive
6. Brainchip’s Rob Telson stated in answer about competing with Nvidia that they see Nvidia more as a partner in the future
7. Nviso is partnered with Brainchip
8. Nviso is working in robotics and is partnering with Brainchip specifically for this purpose
9. Nviso is partnered with Panasonic for robotics
10. MegaChips is also partnered with Brainchip for Industrial Robotics.
11. Brainchip is partnered with Valeo
12. Valeo is partnered with Mercedes for LiDAR
13. Valeo is partnered with Honda for LiDAR
Personally I do not believe anyone knows anymore than we do.
I believe they are just starting to catch up.
My anonymous opinion only so DYOR
FF
AKIDA BALLISTA
FF, now that's a very interesting list of partnerships/associations/ and connectionisms IMHO in the Edge Ai categories'.
Now, would you believe, I myself have the same/similar , exactly the same/similar influential acquaintance, and it brings a smile to my neuromorphic dial, and it will for quite a considerable while.
" Wild thing, you make my heart sing, you make everything, ---- GROOVY ---- " WILD THING "
Akida Ballista >>>>> Can you see the smile on my dial
<<<<<hotty...
Frank Zappa
Regular
But I wanna know for sure .Will you hold me tight hottyFF, now that's a very interesting list of partnerships/associations/ and connectionisms IMHO in the Edge Ai categories'.
Now, would you believe, I myself have the same/similar , exactly the same/similar influential acquaintance, and it brings a smile to my neuromorphic dial, and it will for quite a considerable while.
" Wild thing, you make my heart sing, you make everything, ---- GROOVY ---- " WILD THING "
Akida Ballista >>>>> Can you see the smile on my dial
hotty...
Bravo
If ARM was an arm, BRN would be its biceps💪!
I just noticed that Ford Motor Company filed a patent for a ride-hailing seat reservation system on 7 April 2022 and thought that it might contain some interesting details for those who want to take a bit more of a look.
BRAINCHIP SUPPORTS THE ASX ON FRIDAY 6 MAY.
Incredible its seems that we have become today (of all days) the ASX Darling!
The day traders jumped back in again in large numbers while we were green and helped push the SP up to that 20% daily high.
(so far today, watch for an afternoon rally maybe!)
Our strong Fundamentals & the current Technicals have placed us in the perfect spot for a rally regardless of the Market general downturn.
In fact the market down turn will/has helped us even because those jumping from weak stocks/companies are looking for Companies/stocks with strong Fundamental and Technical indicators. Cannot go past BrainChip for that!
As I said yesterday, "The perfect Storm" is upon us.
Going forward? Well yes the USA had a bad night, I watched it all and took note of all the professionals talking.
The BIG Take Away from all that ???
Sift through the garbage and look for the Companies with strong Fundamentals & Technicals. All the Fund Managers were saying this.
Enter stage left ...........BRAINCHIP. lol.
Another take away was those people (mums/dads) using just phone apps and/or basic Bank services for their info & decision making were going to get hurt big time! And last night they were.
So my personal recommendation is this -
IF YOU CAN AFFORD TO BUY SHARES.............THEN BUY A SUBSCRIPTION TO Tradingview.com Charting services and protect yourselfs with real info and Market insight to your stocks.
INSTALL this on a computer or LAPTOP.
It is easy to use even for a beginner, you might surprise yourselfs.
Next , this afternoon being a FRIDAY usually lately sees a sell off. TODAY? perhaps but don't be surprised to see a BUY UP of cheap shares for next week.
It seems the US and ASX Markets are doing wild swings which we may need to short term become adjusted to!!
These swings (DOW - down 3.5% Fri the up 3.5% Wed and down again Thurs 3.5% and up again Monday/Tues ????) are done by BoTs and Big Banks/Funds which are scooping up cheap shares in the process.
My theory is the BoTs are becoming more "mature" growing up like a child and as such capable (year on year) of doing more complex trading/price movements and strategies. Just like AKIDA is getting more sophisticated so are the BoTs and how they move the Market.
Seems logical to me anyway and again this is only my own theory. Transfer of wealth (money) from us to Big Banks in Switzerland, New York, London & Frankfurt etc.
DYOR
Yak52
Getupthere
Regular
Could be a nice a cup and handle forming.
toasty
Regular
As expected.....
robsmark
Regular
Called it!
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