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Very good post FF ... and a must read if anyone is still in doubt as to where Brainchip's technological dominance is heading!

“When I started to evaluate joining BrainChip I started with the technology. Being a Silicon Valley based executive I had easy access to some of the world’s best technical minds who I engaged to evaluate the core technology. The overwhelming feedback was the technology is visionary in its design, unparalleled in flexibility, and transformative in performance…

That statement alone sends shivers down my backbone ( song lyric there somewhere ;) )
This song in my opinion fits this journey and this is the ultimate performance:

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
This song in my opinion fits this journey and this is the ultimate performance:



Beautiful choice FF. Dreams really do come true. I used to sing that song when I was little and I always thought it said "weigh a pie". It wasn't until many years later someone informed me what the actual lyrics were. I still think it works quite well both ways. 🌈🥧
 
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Diogenese

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Beautiful choice FF. Dreams really do come true. I used to sing that song when I was little and I always thought it said "weigh a pie". It wasn't until many years later someone informed me what the actual lyrics were. I still think it works quite well both ways. 🌈🥧
True you can never go wrong with a good pie 🥧
 
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TopCat

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Soooo I do not think this is Akida, but the new Microsoft HoloLens 2 is cool and something to keep an eye on perhaps? Used by Mercedes, Toyota, NASA, Carnegie Mellon Uni, US defence Force among others. The website states the lens contains a Qualcomm Snapdragon 850 compute program SOC, cooling is passive (no fans) and other specs (all means mumbo jumbo to me).
I thought of Magikeye when I started reading but who knows. Anyways here is the link if interested in having a read.


Last but definitely not least cheers to everyone for all your research and time.

The new features in version 2 do seem impressive! I’ll also admit some of the specs are mumbo jumbo to me as well 🤔

HoloLens 2 vs HoloLens 1​

  • Increased field of view.
  • More ergonomic.
  • Instinctual hand gestures that allow you to touch and manipulate holograms.
  • Eye tracking.
  • Voice commands in multiple languages.
  • Improved hardware that incorporates an AI coprocessor.
 
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buena suerte :-)

BOB Bank of Brainchip
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cassip

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Just in between greetings from Germany
and information concerning SP, which looks much better than the days before
0,6395 EUR up 3,81%
Volume: 91.011 (Tradegate, 11:52 am)
Must be the music
Regards
cassip
 
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Jumpchooks

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Social media ‘likes’ do they in and of themselves tell us anything worthy of being used to make an investment decision. The answer is a raging NO.

The use of the ‘like’ button is completely meaningless or so full of subtext that it is still meaningless unless you canvass the person who hit ‘like’ as to why they did so.

I am sure at least once a day just as I do you will read a post here with multiple ideas expressed therein and one of the many ideas will appeal for some reason but the others not so and you give a ‘like’ because either you can’t be bothered posting or are pressed for time or you just don’t post.

Anyway the following linked article gives a little insight into the meaningless world of likes and their subtext. One of the subtext meanings I find interesting is where a ‘like’ is intended to convey good luck with that plan loser.

Have you ever asked yourself could Rob Telson have tried to sell AKIDA to one of these companies and was knocked back so his ‘like’ is intended to convey good luck with your outdated technology you loser:


So in the absence of something substantive my view is ‘likes’ are meaningless no matter how many are given unless there is something which clearly explains the reason for giving the ‘like’.

My opinion only DYOR
FF

AKIDA BALLISTA
I LOVE YOUR WORK, THANK YOU,,,,,, LIKE
 
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Cardpro

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Out of curiosity, how would revenue generated via ARMs or any other partnership flow through to Brainchip?
 
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alwaysgreen

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Out of curiosity, how would revenue generated via ARMs or any other partnership flow through to Brainchip?
Through their bank account 🤪
 
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uiux

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Out of curiosity, how would revenue generated via ARMs or any other partnership flow through to Brainchip?

First a company like Renesas signs a licensing agreement, then pays money


Or a company like Megachips signs a licensing agreement, then pays money, then also may sell licensing agreements and pay more money



What kind of question is that
 
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uiux

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TECH

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Reuters
Reuters

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Analysis-Banned U.S. AI chips in high demand at Chinese state institutes​

By Eduardo Baptista - 4h ago
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1662463745908.png

By Eduardo Baptista
FILE PHOTO: The logo of Nvidia Corporation is seen during the annual Computex computer exhibition in Taipei
FILE PHOTO: The logo of Nvidia Corporation is seen during the annual Computex computer exhibition in Taipei© Reuters/Tyrone Siu
BEIJING (Reuters) - High-profile universities and state-run research institutes in China have been relying on a U.S. computing chip to power their artificial intelligence (AI) technology but whose export to the country Washington has now restricted, a Reuters review showed.
U.S. chip designer Nvidia Corp last week said U.S. government officials have ordered it to stop exporting its A100 and H100 chips to China. Local peer Advanced Micro Devices Inc (AMD) also said new licence requirements now prevent export to China of its advanced AI chip MI250.

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The development signalled a major escalation of a U.S. campaign to stymie China's technological capability as tension bubbles over the fate of Taiwan, where chips for Nvidia and almost every other major chip firm are manufactured.
China views Taiwan as a rogue province and has not ruled out force to bring the democratically governed island under its control. Responding to the restrictions, China branded them a futile attempt to impose a technology blockade on a rival.
A Reuters review of more than a dozen publicly available government tenders over the past two years indicated that among some of China's most strategically important research institutes, there is high demand - and need - for Nvidia's signature A100 chips.
Tsinghua University, China's highest-ranked higher education institution globally, spent over $400,000 last October on two Nvidia AI supercomputers, each powered by four A100 chips, one of the tenders showed.
In the same month, the Institute of Computing Technology, part of top research group, the Chinese Academy of Sciences (CAS), spent around $250,000 on A100 chips.
The school of artificial intelligence at a CAS university in July this year also spent about $200,000 on high-tech equipment including a server partly powered by A100 chips.
In November, the cybersecurity college of Guangdong-based Jinan University spent over $93,000 on an Nvidia AI supercomputer, while its school of intelligent systems science and engineering spent almost $100,000 on eight A100 chips just last month.


Related video: Five Chinese Companies to Delist From US Exchanges



Five Chinese Companies to Delist From US Exchanges

Less well-known institutes and universities supported by municipal and provincial governments, such as in Shandong, Henan and Chongqing, also bought A100 chips, the tenders showed.
None of the research departments responded to requests for comment on the effect on their projects of the A100 export curb.
Nvidia did not respond to a request for comment. Last Wednesday, it said it had booked $400 million in Chinese sales of the affected chips this quarter which could be lost if its customers decide not to buy alternative Nvidia products. It also said it planned to apply for exemptions to the new rules.
REPLACEMENTS
The lack of chips from the likes of Nvidia and AMD is likely to hamper efforts at Chinese organisations to cost-effectively carry out the kind of advanced computing used for tasks such as image and speech recognition.
Image recognition and natural language processing are common in consumer applications such as smartphones that can answer queries and tag photos. They also have military uses such as scouring satellite imagery for weapons or bases and filtering digital communications for intelligence-gathering purposes.
Experts said there are few Chinese chipmakers that could readily replace such advanced Nvidia and AMD chips, and buyers could instead use multiple lower-end chips to replicate the processing power.
Reuters could not locate any Chinese government tenders mentioning the other two restricted chips - Nvidia's H100 and AMD's MI250.
But some of the tenders showed, for instance, chip purchases from U.S. technology firm Intel Corp and proposals for purchasing less-sophisticated Nvidia products, underscoring China's reliance on an array of U.S. chip technology.
One tender in May showed the Chinese Academy of Surveying and Mapping, a research institute of the Ministry of Natural Resources, considering an Nvidia AI supercomputer to improve its ability to create three-dimensional images from geographic data.
"The proposed NVIDIA DGX A100 server will be equipped with 8 A100 chips with 40GB memory, which will greatly improve the data-carrying capacity and computing speed, shorten the scientific research process, and get scientific research results faster and better," the tender read.
The National University of Defense and Technology (NUDT), which describes itself as a "military university" and "under the direct leadership of the Central Military Commission", China's top military body, is also among the buyers of A100 chips.
The NUDT, home of Tianhe-2, one of the world's most powerful supercomputers, has been on a U.S. blacklist since 2015 due to national security concerns, eliminating the university's access to the Intel processors it uses in its supercomputers.
One May tender showed the institute planned to buy 24 Nvidia graphics processing units with AI applications. The tender was published again last month, indicating NUDT had not yet found the right deal or supplier.
NUDT did not respond to a request for comment.
(Reporting by Eduardo Baptista; Additional reporting by Josh Horwitz; Editing by Miyoung Kim and Christopher Cushing)


LOOKS LIKE THINGS ARE RAMPING UP......NO MORE STEALING THANKS ...LOVE THE US GOVERNMENT :ROFLMAO::ROFLMAO::ROFLMAO:
 
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uiux

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Reuters
Reuters
FollowView Profile

Analysis-Banned U.S. AI chips in high demand at Chinese state institutes​

By Eduardo Baptista - 4h ago
ReactComments|

1
  • Share

  • Save

View attachment 15983
By Eduardo Baptista
FILE PHOTO: The logo of Nvidia Corporation is seen during the annual Computex computer exhibition in Taipei
FILE PHOTO: The logo of Nvidia Corporation is seen during the annual Computex computer exhibition in Taipei© Reuters/Tyrone Siu
BEIJING (Reuters) - High-profile universities and state-run research institutes in China have been relying on a U.S. computing chip to power their artificial intelligence (AI) technology but whose export to the country Washington has now restricted, a Reuters review showed.
U.S. chip designer Nvidia Corp last week said U.S. government officials have ordered it to stop exporting its A100 and H100 chips to China. Local peer Advanced Micro Devices Inc (AMD) also said new licence requirements now prevent export to China of its advanced AI chip MI250.

One Aussie’s Honest Review Of HelloFresh
Ad
The Journiest for HelloFresh

One Aussie’s Honest Review Of HelloFresh

The development signalled a major escalation of a U.S. campaign to stymie China's technological capability as tension bubbles over the fate of Taiwan, where chips for Nvidia and almost every other major chip firm are manufactured.
China views Taiwan as a rogue province and has not ruled out force to bring the democratically governed island under its control. Responding to the restrictions, China branded them a futile attempt to impose a technology blockade on a rival.
A Reuters review of more than a dozen publicly available government tenders over the past two years indicated that among some of China's most strategically important research institutes, there is high demand - and need - for Nvidia's signature A100 chips.
Tsinghua University, China's highest-ranked higher education institution globally, spent over $400,000 last October on two Nvidia AI supercomputers, each powered by four A100 chips, one of the tenders showed.
In the same month, the Institute of Computing Technology, part of top research group, the Chinese Academy of Sciences (CAS), spent around $250,000 on A100 chips.
The school of artificial intelligence at a CAS university in July this year also spent about $200,000 on high-tech equipment including a server partly powered by A100 chips.
In November, the cybersecurity college of Guangdong-based Jinan University spent over $93,000 on an Nvidia AI supercomputer, while its school of intelligent systems science and engineering spent almost $100,000 on eight A100 chips just last month.


Related video: Five Chinese Companies to Delist From US Exchanges



Five Chinese Companies to Delist From US Exchanges

Less well-known institutes and universities supported by municipal and provincial governments, such as in Shandong, Henan and Chongqing, also bought A100 chips, the tenders showed.
None of the research departments responded to requests for comment on the effect on their projects of the A100 export curb.
Nvidia did not respond to a request for comment. Last Wednesday, it said it had booked $400 million in Chinese sales of the affected chips this quarter which could be lost if its customers decide not to buy alternative Nvidia products. It also said it planned to apply for exemptions to the new rules.
REPLACEMENTS
The lack of chips from the likes of Nvidia and AMD is likely to hamper efforts at Chinese organisations to cost-effectively carry out the kind of advanced computing used for tasks such as image and speech recognition.
Image recognition and natural language processing are common in consumer applications such as smartphones that can answer queries and tag photos. They also have military uses such as scouring satellite imagery for weapons or bases and filtering digital communications for intelligence-gathering purposes.
Experts said there are few Chinese chipmakers that could readily replace such advanced Nvidia and AMD chips, and buyers could instead use multiple lower-end chips to replicate the processing power.
Reuters could not locate any Chinese government tenders mentioning the other two restricted chips - Nvidia's H100 and AMD's MI250.
But some of the tenders showed, for instance, chip purchases from U.S. technology firm Intel Corp and proposals for purchasing less-sophisticated Nvidia products, underscoring China's reliance on an array of U.S. chip technology.
One tender in May showed the Chinese Academy of Surveying and Mapping, a research institute of the Ministry of Natural Resources, considering an Nvidia AI supercomputer to improve its ability to create three-dimensional images from geographic data.
"The proposed NVIDIA DGX A100 server will be equipped with 8 A100 chips with 40GB memory, which will greatly improve the data-carrying capacity and computing speed, shorten the scientific research process, and get scientific research results faster and better," the tender read.
The National University of Defense and Technology (NUDT), which describes itself as a "military university" and "under the direct leadership of the Central Military Commission", China's top military body, is also among the buyers of A100 chips.
The NUDT, home of Tianhe-2, one of the world's most powerful supercomputers, has been on a U.S. blacklist since 2015 due to national security concerns, eliminating the university's access to the Intel processors it uses in its supercomputers.
One May tender showed the institute planned to buy 24 Nvidia graphics processing units with AI applications. The tender was published again last month, indicating NUDT had not yet found the right deal or supplier.
NUDT did not respond to a request for comment.
(Reporting by Eduardo Baptista; Additional reporting by Josh Horwitz; Editing by Miyoung Kim and Christopher Cushing)


LOOKS LIKE THINGS ARE RAMPING UP......NO MORE STEALING THANKS ...LOVE THE US GOVERNMENT :ROFLMAO::ROFLMAO::ROFLMAO:


All of our engagements with defence/government imply that if the initial missions/projects/research is a success, and BrainChip gets a tick - these devices will need to be produced somewhere.

That's where infrastructure like that of Synopsys comes into play. It will be a cloud based service that will let customers in the DoD/GOV/etc choose IP and produce a chip or SoC - then send it securely to a foundry to be manufactured.

Spend some time going through the Microsoft Azure thread and reading about RAMP.




Microsoft is leading a coalition of industry leaders focused on developing capabilities to support RAMP including Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, GlobalFoundries, Intel Corporation, Nimbis Services, Inc., Northrop Grumman, Siemens EDA, Synopsys, Inc., and Zero ASIC Corporation.


Microsoft has engaged microelectronics industry leaders across the commercial and defense industrial base (DIB) to develop this phase of the RAMP project, collaborators include Ansys, Applied Materials, Inc., BAE Systems, Battelle Memorial Institute, Cadence Design Systems, Cliosoft, Inc., Flex Logix, GlobalFoundries, Intel Federal, Raytheon Intelligence and Space, Siemens EDA, Synopsys, Inc., Tortuga Logic, and Zero ASIC Corporation.


---


If Brainchip can worm its way into this bundle, which I think there is a good chance given the sheer number of gov/dod engagements we have, it could be significant. Especially given how war centric our world will be over the next decade (prob longer)

When If Taiwan is invaded, which everyone is expecting, the above infrastructure will light up like a Xmas tree because a huge % of the worlds chip manufacturing capabilities will now be highly unstable or under siege by China and rendered entirely useless. This is the primary motivations for all the large chip manufacturers opening foundries on American soil and why the CHIPS act is so important

Eg.




Taiwan controls 46% of the foundry market and 61% of the global capacity for transistors with a size of less than 16 nm, making it a market leader in the production of semiconductors.

--

 
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Cardpro

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First a company like Renesas signs a licensing agreement, then pays money


Or a company like Megachips signs a licensing agreement, then pays money, then also may sell licensing agreements and pay more money



What kind of question is that
I was wondering whether it will flow through ARMs or if it needs individual contract
 
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Potato

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Screen Shot 2022-09-06 at 9.13.29 pm.png
 
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Potato

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uiux

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miaeffect

Oat latte lover
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uiux

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The lead sales guy from Syntiant coming to BrainChip and saying "Akida™ is uniquely superior and positioned to be the de facto standard for edge AI semiconductor IP"?



Seems OK to me
 
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