BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Fact Finder
Top 20
Anyone who has not read the Forbes article make time. It confirms that AKIDA ESP offers 1,2,4&8 bit activations and much much more.
The last two paragraphs inspired me to break my golden rule and buy more BRN:
“Brainchip’s bio-inspired Akida platform is certainly an unusual way to tackle AI/ML applications. While most other NPU vendors are figuring out how many MACs they can fit – and power – on the head of a pin, Brainchip is taking an alternative approach that’s been proven by Mother Nature to work over many tens of millions of years.
In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell.”
My mistake and opinion only so DYOR
FF
AKIDA BALLISTA
PS: Just love the “head of a pin comment” wish I had said it.
The last two paragraphs inspired me to break my golden rule and buy more BRN:
“Brainchip’s bio-inspired Akida platform is certainly an unusual way to tackle AI/ML applications. While most other NPU vendors are figuring out how many MACs they can fit – and power – on the head of a pin, Brainchip is taking an alternative approach that’s been proven by Mother Nature to work over many tens of millions of years.
In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell.”
My mistake and opinion only so DYOR
FF
AKIDA BALLISTA
PS: Just love the “head of a pin comment” wish I had said it.
Might have been filed very recently. Filing the patent may have been the catalyst for releasing the information on Akida 2.I don't think this patent has been mentioned before
Technology
Learn about BrainChip's innovative technology, featuring the Akida Neuromorphic Processor for efficient, low-power AI processing at the edge.brainchip.com
If you download the akida 2 platform brief and look under
Tech Foundations
Exceptional spatio-temporal capability:
Patent pending Temporal event-based neural nets
(TENNs) revolutionize time-series data application
TT
Frangipani
Top 20
Thank‘s for pointing that out - I didn‘t notice it the first time round glancing through the press release as the technology partner testimonials keep rotating.
So it was a spelling mistake on Twitter then. And as I can see, you are just as creative orthographically, coming up with an anagram for a change!
I think they used @Fact Finder as the reading test benchmark ...
“Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge,” said Phil Dworsky, Global Head of Strategic Alliances at SiFive. “Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”
Phil Dworsky, Global Head of Strategic Alliances, SiFive
Source: https://www.design-reuse-embedded.com/.../brainchip.../...
COMBINED WITH
Google deploys SiFive's Intelligence X280 processor for AI workloads. Hybridizes the RISC-V cores with TPU architecture.
Google is using the RISC-V-based SiFive Intelligence X280 processor in combination with the Google TPU, as part of its portfolio of AI chips.
Fabless chip designer SiFive said that it was also being used by NASA, Tenstorrent, Renesas, Microchip, Kinara, and others.
Source: https://www.datacenterdynamics.com/.../google-deploys.../
I think our relationship with Prophesee is more like a joint venture than a licence.
TechGirl
Founding Member
Awesome thanks, you beat me to it.
A good Friend of mine Reuben asked me to post the following screenshots from a facebook group plus the article.
Here are the facebook screenshots
Here is he Google SIFive X280 article
Google deploys SiFive's Intelligence X280 processor for AI workloads
Hybridizes the RISC-V cores with TPU architectureSeptember 22, 2022 By Sebastian Moss Have your say
FacebookTwitterLinkedInRedditEmailShare
Google is using the RISC-V-based SiFive Intelligence X280 processor in combination with the Google TPU, as part of its portfolio of AI chips.
Fabless chip designer SiFive said that it was also being used by NASA, Tenstorrent, Renesas, Microchip, Kinara, and others.
RISC-V is an open standard instruction set architecture based on established RISC principles, which is provided under open source licenses that do not require fees.
– SiFive/Google
At the AI Hardware Summit in Santa Clara, Krste Asanovic, SiFive's co-founder and chief architect took to the stage with Cliff Young, Google TPU Architect and MLPerf co-founder.
The SiFive Intelligence X280 is a multi-core capable RISC-V processor with vector extension, optimized for AI/ML applications in the data center.
At the summit, the two companies explained that the X280 processor is being used as the AI Compute Host to provide flexible programming combined with the Google MXU (systolic matrix multiplier) accelerator in the data center. However, they did not disclose the scale of the deployment.
SiFive has introduced the Vector Coprocessor Interface eXtension (VCIX), allowing customers to plug an accelerator directly into the vector register file of the X280.
Google already uses third-party ASIC design services with Broadcom for its in-house TPU AI chip, instead focusing on developing its strengths - the Matrix Multiply Unit and the Inter-Chip Interconnect.
Now it is adding the X280 in what Google calls "an elegant division of labor with the TPU," taking the MXUs and combining them with the X280.
Google's Cliff Young said that with SiFive VCIX-based general purpose cores “hybridized” with Google MXUs, you can build a machine "that lets you have your cake and eat it too."
Attachments
Rise from the ashes
Regular
And just a reminder considering the latest news flow, don't forget you can change your vote at anytime on the poll thread regarding being informed. Those who are easily triggered or totally disregard other people's views please refrain from making your childish vindictive comments please.
thestockexchange.com.au
Poll regarding being informed.
Also no time limit on the poll but one can change their vote anytime they wish.
thestockexchange.com.au
TechGirl
Founding Member
Tuliptrader
Regular
This akida 2nd Gen launch has the potential to be the precursor to a mountain of towels being thrown into the ring from technology companies competing within this space.
“Thus with my lips have I denounced you, while my heart, bleeding within me, called you tender names." Kahlil Gibran
TT
“Thus with my lips have I denounced you, while my heart, bleeding within me, called you tender names." Kahlil Gibran
TT
Bravo
If ARM was an arm, BRN would be its biceps💪!
Rememeber what Jean-Luc Chatelain (CTO Accenture) said in a podcast with Sean in January about transfomers. He said they call transformers "supermodels". Here's a reminder thanks to @BaconLover's transcript.
So, presumably this means AKIDA 2000 will be EXTREMELY well suited to all NLP and Generative AI applications like ChatCPT, not to mention "Cerence's Immersive Companion" which is slated for release FY23/24 about which everyone knows my opinion. Wink, wink, nudge, nudge...
So, presumably this means AKIDA 2000 will be EXTREMELY well suited to all NLP and Generative AI applications like ChatCPT, not to mention "Cerence's Immersive Companion" which is slated for release FY23/24 about which everyone knows my opinion. Wink, wink, nudge, nudge...
BaconLover
Founding Member
Awesome thanks, you beat me to it.
A good Friend of mine Reuben asked me to post the following screenshots from a facebook group plus the article.
Here are the facebook screenshots
View attachment 31404
View attachment 31403
Here is he Google SIFive X280 article
Google deploys SiFive's Intelligence X280 processor for AI workloads
Hybridizes the RISC-V cores with TPU architecture
September 22, 2022 By Sebastian Moss Have your say
FacebookTwitterLinkedInRedditEmailShare
Google is using the RISC-V-based SiFive Intelligence X280 processor in combination with the Google TPU, as part of its portfolio of AI chips.
Fabless chip designer SiFive said that it was also being used by NASA, Tenstorrent, Renesas, Microchip, Kinara, and others.
RISC-V is an open standard instruction set architecture based on established RISC principles, which is provided under open source licenses that do not require fees.
– SiFive/Google
At the AI Hardware Summit in Santa Clara, Krste Asanovic, SiFive's co-founder and chief architect took to the stage with Cliff Young, Google TPU Architect and MLPerf co-founder.
The SiFive Intelligence X280 is a multi-core capable RISC-V processor with vector extension, optimized for AI/ML applications in the data center.
At the summit, the two companies explained that the X280 processor is being used as the AI Compute Host to provide flexible programming combined with the Google MXU (systolic matrix multiplier) accelerator in the data center. However, they did not disclose the scale of the deployment.
SiFive has introduced the Vector Coprocessor Interface eXtension (VCIX), allowing customers to plug an accelerator directly into the vector register file of the X280.
Google already uses third-party ASIC design services with Broadcom for its in-house TPU AI chip, instead focusing on developing its strengths - the Matrix Multiply Unit and the Inter-Chip Interconnect.
Now it is adding the X280 in what Google calls "an elegant division of labor with the TPU," taking the MXUs and combining them with the X280.
Google's Cliff Young said that with SiFive VCIX-based general purpose cores “hybridized” with Google MXUs, you can build a machine "that lets you have your cake and eat it too."
Well if google want to maximize the efficiency of their TPU, they need to get over the "not-invented-here" syndrome:
Google already uses third-party ASIC design services with Broadcom for its in-house TPU AI chip, instead focusing on developing its strengths - the Matrix Multiply Unit and the Inter-Chip Interconnect.
Their next batch of X280s may come pre-fitted with Akida 2P.
HopalongPetrovski
I'm Spartacus!
Rat folk backed by big money need to close out their positions as they quickly scurry away under the cover of an indeterminate lead from USA overnight, pending likely domestic rate rise and some of our thunder being appropriated by WBT news.
In the burgeoning light of our announcements they can only hold it down so long.
Takes the manipulators days to weeks to build their positions.
They run the risk of a squeeze if panic sets in and they need to escape in haste.
Oh, for another announcement with some dollars attached right about now.
Would be glorious.
AKIDA ESP.
(especial........ am I not?)
My wish is that ChatGPT can be a reader option used on this thread in the future. Having noticed how it can detect my emotion, it could similarly detect and prune out (say) quip-posts, flaming-posts etc. and save reading time.
Conversely, if you would miss the fun content, it could prune out the serious stuff.
Similar threads
