Food4 thought
Regular
So this is the same as BrainChip by the sounds of things
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
mrgds
Regular
Good podcast, .................... enthusiasm was very clear to hear by both Sean & Jeff
Parting words;
Sean; ................. lets do it again soon.
Jeff; ......................yes, hope so.
AKIDA BALLISTA
I guess Hisense won't be one of our customers then
JDelekto
Regular
I did not find it unsettling at all. The representative noted that it was an AI accelerator, quite different from a neuromorphic processor.
I believe the Syntiant solution only does audio processing, whereas Akida can handle information from many different types of sensor input. The power draw in the milliwatt range is comparable between the two.
They also mention "loading the models in real-time" which is much different than the patented on-chip learning of which Akida is capable.
So it does seem that the Syntiant audio-processing AI accelerator is competition for Akida in specific use cases, but I think that BrainChip's processor is a much more flexible solution.
Mmm......... interesting mccabe84. common event huh ?
I recently had to replace an aircraft battery (lead acid) and looked hard for a suitable Lithium replacement to help reduce weight (aerobatic aircraft) and improve performance.
After talking/researching the various types of Lithium batteries I decided to stay with a normal lead acid battery as I could not be convinced by salesmen or marketing that a Lithium battery would not suddenly have a "thermal runaway" event while pulling a 5 g maneuver.
One battery salesman even suggested I would be able to use my parachute if such event happened, to which I did not bother trying to explain that the battery is located behind the pilots seat some 8 inchs from the "parachute" .
Back to a heavy old lead acid battery yet again! Maybe one day...........
Yak52
Fact Finder
Top 20
Now sitting in waiting room but Teksun is partnered with both Brainchip and Synaptics and clearly differentiates what they each provide.
I suspect just on this basis they can be discounted but will await @Diogenese to throw up a patent or two to confirm what they are actually doing that Teksun requires in addition to Brainchip.
I will say this that all the searching I have done on SNN has not thrown up any research papers in that area involving them or employees.
My opinion only DYOR
FF
AKIDA BALLISTA
DingoBorat
Slim
I respect what you said, but the information is in the public domain and it's a genuine question.
The Company is well aware of the 1000 eyes and so should their customers and partners.
If they don't, they should be made aware.
It's Tony's job to answer questions like this, it shouldn't be his job though, to have to answer questions from impatient shareholders (you are obviously not one of them).
The Company can easily say, that they can't comment and then maybe Teksun's website is changed.
It would then just remain speculation, as to its meaning.
Better that things like this are thrust into the open and then hopefully things are put into place, to reduce further occurances of information, that's not supposed to be available
FrederikSchack
Regular
Why are we censoring links???
Here is the content:
Louis AllenMarkets Reporterlouis.allen@***************.com.au15 March 2023 05:59(AEDT)
3 mins
https://***************.com.au/wp-c...HOTO-ILLUSTRATIONS-1280x720-800x430.jpgSource: Jakub Porzycki via Reuters Connect
Artificial intelligence (AI) is transforming the way businesses operate across the globe, with an increasing number of companies adopting the technology to gain a competitive edge in today’s digital landscape.
Companies across an array of sectors are using AI technologies to grow revenue and improve efficiency across their operations.
In Australia, the National AI Centre (NAIC) was set up to further develop the country’s AI and digital ecosystem. It’s funded by the Australian government and coordinated by the national science agency, CSIRO.
Recently, the NAIC released the ‘Australia’s AI ecosystem momentum’ report, which looked into the experiences of 200 information technology and business decision-makers and AI service providers to better understand AI adoption across businesses in Australia.
The report was commissioned by the NAIC and prepared by Forrester Consulting.
“Our research shows Australian businesses reported an average revenue growth of $361,315 for each AI-enabled solution that was implemented, regardless of which part of the business these efforts were targeted,” National AI Centre Director Stela Solar said.
“Over 80 per cent of businesses surveyed expected their year-on-year revenue to grow, with technology at the centre of their growth strategies,” she said.
Despite that, the report found that AI strategies were actually quite difficult to deliver.
From the results, a majority of respondents required engaging at least four AI technology and service providers to carry out an AI project, while 28 per cent of respondents reported working with more than six providers. Just 17 per cent worked on projects with a single provider.
This led the NAIC to believe that the successful implementation of AI strategies was a collaborative effort, and “businesses should be comfortable with the idea of working alongside several providers to ensure they get complete solutions that deliver business outcomes”.
Additionally, universities and research institutions are making significant strides in the field of AI, further fueling the growth of the industry.
In Australia, there are a number of players that stand to benefit from growing AI adoption, including ASX-listed Appen (APX), Nuix (NXL), Megaport (MP1), WiseTech Global (WT1), Brainchip (BRN) and Unith (UNT), among others.
Appen is a leading provider of high-quality training data for machine learning and artificial intelligence algorithms. As more businesses start to adopt AI, so will the demand for high-quality training in the new era of tech.
Nuix provides software that helps organisations investigate and analyse large amounts of data quickly and efficiently. The company’s software incorporates artificial intelligence and machine learning technologies.
Brisbane-based Megaport offers software-defined networking services, which enable businesses to connect their IT infrastructure to the cloud. As more businesses adopt AI and cloud computing, the demand for Megaport’s services is expected to increase.
ASX-200 giant WiseTech Global provides software solutions for the logistics industry, including AI-powered tools that help businesses optimise supply chains.
BrainChip is a provider of AI-powered semiconductor technology that can be used in various ways, including surveillance, autonomous vehicles, and industrial automation.
Amsterdam-based Unith is capitalising on the rapidly-growing global AI service market with its innovative Talking Head platform.
The Talking Head transforms the way businesses communicate with customers by allowing for real-time conversations, in multiple languages and through a full-stack platform, all powered by AI.
As AI adoption continues to grow across Australia and the globe, companies are discovering that successful implementation requires a collaborative approach with multiple providers to deliver complete solutions that help enable optimal business outcomes.
This trend is expected to continue as more businesses seek to leverage the benefits of AI to improve business operations.
Here is the content:
Australian businesses adopting AI tech to bolster revenue, but challenges remain
ASX News, Technology
Louis AllenMarkets Reporterlouis.allen@***************.com.au15 March 2023 05:59(AEDT)
3 mins
https://***************.com.au/wp-c...HOTO-ILLUSTRATIONS-1280x720-800x430.jpgSource: Jakub Porzycki via Reuters Connect
https://***************.com.au/wp-content/themes/spotlight/images/logo-small-white.svg
Subscribe
Be the first with the news that moves the marketArtificial intelligence (AI) is transforming the way businesses operate across the globe, with an increasing number of companies adopting the technology to gain a competitive edge in today’s digital landscape.
Companies across an array of sectors are using AI technologies to grow revenue and improve efficiency across their operations.
In Australia, the National AI Centre (NAIC) was set up to further develop the country’s AI and digital ecosystem. It’s funded by the Australian government and coordinated by the national science agency, CSIRO.
Recently, the NAIC released the ‘Australia’s AI ecosystem momentum’ report, which looked into the experiences of 200 information technology and business decision-makers and AI service providers to better understand AI adoption across businesses in Australia.
The report was commissioned by the NAIC and prepared by Forrester Consulting.
Findings of the report
The AI ecosystem momentum report highlighted the growing appetite for AI use across Australian businesses but revealed certain barriers to implementing the solutions.“Our research shows Australian businesses reported an average revenue growth of $361,315 for each AI-enabled solution that was implemented, regardless of which part of the business these efforts were targeted,” National AI Centre Director Stela Solar said.
“Over 80 per cent of businesses surveyed expected their year-on-year revenue to grow, with technology at the centre of their growth strategies,” she said.
Despite that, the report found that AI strategies were actually quite difficult to deliver.
From the results, a majority of respondents required engaging at least four AI technology and service providers to carry out an AI project, while 28 per cent of respondents reported working with more than six providers. Just 17 per cent worked on projects with a single provider.
This led the NAIC to believe that the successful implementation of AI strategies was a collaborative effort, and “businesses should be comfortable with the idea of working alongside several providers to ensure they get complete solutions that deliver business outcomes”.
Australia’s significant AI players
Many companies worldwide are making investments in AI initiatives and programs in an effort to revolutionise business operations for the better.Additionally, universities and research institutions are making significant strides in the field of AI, further fueling the growth of the industry.
In Australia, there are a number of players that stand to benefit from growing AI adoption, including ASX-listed Appen (APX), Nuix (NXL), Megaport (MP1), WiseTech Global (WT1), Brainchip (BRN) and Unith (UNT), among others.
Appen is a leading provider of high-quality training data for machine learning and artificial intelligence algorithms. As more businesses start to adopt AI, so will the demand for high-quality training in the new era of tech.
Nuix provides software that helps organisations investigate and analyse large amounts of data quickly and efficiently. The company’s software incorporates artificial intelligence and machine learning technologies.
Brisbane-based Megaport offers software-defined networking services, which enable businesses to connect their IT infrastructure to the cloud. As more businesses adopt AI and cloud computing, the demand for Megaport’s services is expected to increase.
ASX-200 giant WiseTech Global provides software solutions for the logistics industry, including AI-powered tools that help businesses optimise supply chains.
BrainChip is a provider of AI-powered semiconductor technology that can be used in various ways, including surveillance, autonomous vehicles, and industrial automation.
Amsterdam-based Unith is capitalising on the rapidly-growing global AI service market with its innovative Talking Head platform.
The Talking Head transforms the way businesses communicate with customers by allowing for real-time conversations, in multiple languages and through a full-stack platform, all powered by AI.
As AI adoption continues to grow across Australia and the globe, companies are discovering that successful implementation requires a collaborative approach with multiple providers to deliver complete solutions that help enable optimal business outcomes.
This trend is expected to continue as more businesses seek to leverage the benefits of AI to improve business operations.
stuart888
Regular
Fishing! Brainchip is prime bait! I really enjoy my growth stock picks. So fun to follow.
wilzy123
Founding Member
Why are we censoring links???
Here is the content:
Australian businesses adopting AI tech to bolster revenue, but challenges remain
ASX News, Technology
Louis AllenMarkets Reporterlouis.allen@***************.com.au15 March 2023 05:59(AEDT)
3 mins
https://***************.com.au/wp-c...HOTO-ILLUSTRATIONS-1280x720-800x430.jpgSource: Jakub Porzycki via Reuters Connect
Subscribe
Be the first with the news that moves the market
Artificial intelligence (AI) is transforming the way businesses operate across the globe, with an increasing number of companies adopting the technology to gain a competitive edge in today’s digital landscape.
Companies across an array of sectors are using AI technologies to grow revenue and improve efficiency across their operations.
In Australia, the National AI Centre (NAIC) was set up to further develop the country’s AI and digital ecosystem. It’s funded by the Australian government and coordinated by the national science agency, CSIRO.
Recently, the NAIC released the ‘Australia’s AI ecosystem momentum’ report, which looked into the experiences of 200 information technology and business decision-makers and AI service providers to better understand AI adoption across businesses in Australia.
The report was commissioned by the NAIC and prepared by Forrester Consulting.
Findings of the report
The AI ecosystem momentum report highlighted the growing appetite for AI use across Australian businesses but revealed certain barriers to implementing the solutions.
“Our research shows Australian businesses reported an average revenue growth of $361,315 for each AI-enabled solution that was implemented, regardless of which part of the business these efforts were targeted,” National AI Centre Director Stela Solar said.
“Over 80 per cent of businesses surveyed expected their year-on-year revenue to grow, with technology at the centre of their growth strategies,” she said.
Despite that, the report found that AI strategies were actually quite difficult to deliver.
From the results, a majority of respondents required engaging at least four AI technology and service providers to carry out an AI project, while 28 per cent of respondents reported working with more than six providers. Just 17 per cent worked on projects with a single provider.
This led the NAIC to believe that the successful implementation of AI strategies was a collaborative effort, and “businesses should be comfortable with the idea of working alongside several providers to ensure they get complete solutions that deliver business outcomes”.
Australia’s significant AI players
Many companies worldwide are making investments in AI initiatives and programs in an effort to revolutionise business operations for the better.
Additionally, universities and research institutions are making significant strides in the field of AI, further fueling the growth of the industry.
In Australia, there are a number of players that stand to benefit from growing AI adoption, including ASX-listed Appen (APX), Nuix (NXL), Megaport (MP1), WiseTech Global (WT1), Brainchip (BRN) and Unith (UNT), among others.
Appen is a leading provider of high-quality training data for machine learning and artificial intelligence algorithms. As more businesses start to adopt AI, so will the demand for high-quality training in the new era of tech.
Nuix provides software that helps organisations investigate and analyse large amounts of data quickly and efficiently. The company’s software incorporates artificial intelligence and machine learning technologies.
Brisbane-based Megaport offers software-defined networking services, which enable businesses to connect their IT infrastructure to the cloud. As more businesses adopt AI and cloud computing, the demand for Megaport’s services is expected to increase.
ASX-200 giant WiseTech Global provides software solutions for the logistics industry, including AI-powered tools that help businesses optimise supply chains.
BrainChip is a provider of AI-powered semiconductor technology that can be used in various ways, including surveillance, autonomous vehicles, and industrial automation.
Amsterdam-based Unith is capitalising on the rapidly-growing global AI service market with its innovative Talking Head platform.
The Talking Head transforms the way businesses communicate with customers by allowing for real-time conversations, in multiple languages and through a full-stack platform, all powered by AI.
As AI adoption continues to grow across Australia and the globe, companies are discovering that successful implementation requires a collaborative approach with multiple providers to deliver complete solutions that help enable optimal business outcomes.
This trend is expected to continue as more businesses seek to leverage the benefits of AI to improve business operations.
Probably because you're sharing content from a very questionable source
FrederikSchack
Regular
Ok, didn't know that 7he nnarket Herald was a very questionable source.
Shadow59
Regular
Fact Finder
Top 20
Dhm
Regular
Great find @stuart888
So we are partnering Teksun in providing AI for Toshiba, Cisco and Linaro. Very exciting. But just how far have we gone with Teksun? Surely a price sensitive ASX announcement should already out, or at least very soon?
Learning
Learning to the Top 🕵♂️
Maybe I have selective hearing. Just my thought on the podcast.
"Ecosystem" = Essential in the tech industries
"Believes" = Benefits = Results AKD1000 AKD1500, AKD 2.0.
"Developer's" = Just Edge Impulse alone, 60000 developer's.
"Focus" = Management is focused in growing the business.
"Partners" ARM, Intel, SiFi, MegaChips, Socionext and more!
"AI is the most disruptive technology we are seeing in our lifetime"
"Inferencing" @ low-power at the edge= Akida
"Telchnology for today and tomorrow"
"Transformer" more to come
"Exciting year"
"Will take time" = Patience will be require.
Learning 🏖
Last edited:
TechGirl
Founding Member
Probably posted before but good to see Micron was looking into us all the way back in 2018
10.11.2018
SAN FRANCISCO — Micron Technology announced a $100 million venture fund with a focus on AI at a coming-out party for its new chief executive here. Sanjay Mehrotra, former CEO and co-founder of SanDisk, vowed to accelerate new product introductions at the company best known as one of the survivors of consolidation in commodity DRAMs.
It’s a challenging time for the memory and storage giant that trails larger rivals Samsung, SK Hynix, and Toshiba. Breakout products such as the Hybrid Memory Cube and Automata processor failed to gain significant traction and 3DXPoint memories co-designed with Intel hit delays, with revenues for Micron now pushed out to 2020.
On the positive side, the company hopes to sample 3DXPoint devices late next year. It will also enter the market for high-bandwidth memory stacks, initially with HBM2 in 2019.
In its core business, Micron has a DRAM-like product in the lab that it aims to sample in 2021. It has a process technology roadmap with three new nodes ramping into production. In addition, it is privately showing customers software to accelerate NAND storage performance 3x to 5x.
At the event here, executives made the case that the rise of deep learning will help drive demand for memory and storage. Its new fund aims to help it ride the wave with future investments in hardware, software, and services.
“This is not just about the money, but technology partnerships as well,” said Sumit Sadana, Micron’s chief business officer and a former executive at SanDisk, Freescale, and IBM. “We have some emerging memory technologies not yet in production that we will seek partners to help bring to market.”
Micron researchers are exploring the kinds of processor-on-memory architectures that startups such as Mythic and Syntiant hope to pioneer.
They are also bullish on so-called neuromorphic chips that use a mesh of synapse-like cores that companies such as BrainChip are pursuing.
It’s unclear when or how Micron will be able to turn the concepts into products.
“We have a lot of innovative work in memory and future architectures, some of them are focused on deep learning,” said Sadana. “We have grants from the U.S. government to investigate frontiers of processing in memory and deep-learning acceleration, but a lot of the work is extremely sensitive and confidential.”
It’s still early days for machine learning, said speakers from Amazon and Microsoft.
For example, developers are working to enable Amazon’s Alexa to understand context as well as multiple commands in a sentence, said Prem Natarajan, who heads up natural language work for the web giant. Microsoft recently released a service to let companies create their own voice assistants and aims to enable them to someday engage in realistic conversations, said Lili Cheng, who leads Microsoft’s AI research.
AI training could require 7x more DRAM and 2x more NAND in future servers. (Image: Micron)
Related IoT Content: ‘We think AI has a natural relationship with IoT,’ says top Microsoft exec
Micron execs remain bullish on its core DRAM roadmap as well as the outlook for 3DXPoint in both main memory and storage.
The company expects to use 3DXPoint in both dense, fast main memory products and storage that delivers lower latency than Intel’s current Optane drives. Micron’s stated plan of sampling in late 2019 for revenues in 2020 suggests that it is waiting for a second-generation 3DXPoint device that it is co-developing with Intel.
Executives declined to provide any product details or market projections. “Our belief is that [3DXPoint] becomes a meaningful part of the data center hierarchy that will cannibalize a nibble on either side [of DRAM and NAND], but the aggregate market grows quite a bit,” said Tom Eby, who runs Micron’s compute and networking group.
“3DXPoint is still in its infancy compared to DRAM and NAND,” said Jeff VerHeul, who oversees Micron’s development for it and non-volatile memories. “It will evolve and become more efficient.”
In its core DRAM sector, “we see at least three technology nodes beyond the one we are working in now … we have more visibility than we have had in the last decade,” said Scott DeBoer, head of tech development at Micron. That said, “the cost reduction and bit-density increase per node is slowing and is not at the pace of the last 20 years.”
Micron’s DRAM roadmap does not require extreme ultraviolet lithography and is already using double- and quad-patterning. Advanced circuit designs are enabling operation with less charge stored in taller capacitors than used in the past, but otherwise, the overall architecture is a conventional one, added DeBoer.
Micron is already shipping DRAMs made in its sub-20-nm 1x process and expects first revenue for some made in its 1y process next quarter, said Eby. The transition to 16-Gbit chips from today’s mainstream 8-Gbit designs is near, but he would not comment on the viability of a 32G design.
— Rick Merritt, Silicon Valley Bureau Chief, EE Times
And in below screenshot BrainChips Update for the March 2019 Quarter Micron is mentioned
Micron Places $100 Million AI Bet
By Rick Merritt10.11.2018
SAN FRANCISCO — Micron Technology announced a $100 million venture fund with a focus on AI at a coming-out party for its new chief executive here. Sanjay Mehrotra, former CEO and co-founder of SanDisk, vowed to accelerate new product introductions at the company best known as one of the survivors of consolidation in commodity DRAMs.
It’s a challenging time for the memory and storage giant that trails larger rivals Samsung, SK Hynix, and Toshiba. Breakout products such as the Hybrid Memory Cube and Automata processor failed to gain significant traction and 3DXPoint memories co-designed with Intel hit delays, with revenues for Micron now pushed out to 2020.
On the positive side, the company hopes to sample 3DXPoint devices late next year. It will also enter the market for high-bandwidth memory stacks, initially with HBM2 in 2019.
In its core business, Micron has a DRAM-like product in the lab that it aims to sample in 2021. It has a process technology roadmap with three new nodes ramping into production. In addition, it is privately showing customers software to accelerate NAND storage performance 3x to 5x.
At the event here, executives made the case that the rise of deep learning will help drive demand for memory and storage. Its new fund aims to help it ride the wave with future investments in hardware, software, and services.
“This is not just about the money, but technology partnerships as well,” said Sumit Sadana, Micron’s chief business officer and a former executive at SanDisk, Freescale, and IBM. “We have some emerging memory technologies not yet in production that we will seek partners to help bring to market.”
Micron researchers are exploring the kinds of processor-on-memory architectures that startups such as Mythic and Syntiant hope to pioneer.
They are also bullish on so-called neuromorphic chips that use a mesh of synapse-like cores that companies such as BrainChip are pursuing.
It’s unclear when or how Micron will be able to turn the concepts into products.
“We have a lot of innovative work in memory and future architectures, some of them are focused on deep learning,” said Sadana. “We have grants from the U.S. government to investigate frontiers of processing in memory and deep-learning acceleration, but a lot of the work is extremely sensitive and confidential.”
It’s still early days for machine learning, said speakers from Amazon and Microsoft.
For example, developers are working to enable Amazon’s Alexa to understand context as well as multiple commands in a sentence, said Prem Natarajan, who heads up natural language work for the web giant. Microsoft recently released a service to let companies create their own voice assistants and aims to enable them to someday engage in realistic conversations, said Lili Cheng, who leads Microsoft’s AI research.
Next page: Bullish on 3DXPoint and process tech
Related IoT Content: ‘We think AI has a natural relationship with IoT,’ says top Microsoft exec
Micron execs remain bullish on its core DRAM roadmap as well as the outlook for 3DXPoint in both main memory and storage.
The company expects to use 3DXPoint in both dense, fast main memory products and storage that delivers lower latency than Intel’s current Optane drives. Micron’s stated plan of sampling in late 2019 for revenues in 2020 suggests that it is waiting for a second-generation 3DXPoint device that it is co-developing with Intel.
Executives declined to provide any product details or market projections. “Our belief is that [3DXPoint] becomes a meaningful part of the data center hierarchy that will cannibalize a nibble on either side [of DRAM and NAND], but the aggregate market grows quite a bit,” said Tom Eby, who runs Micron’s compute and networking group.
“3DXPoint is still in its infancy compared to DRAM and NAND,” said Jeff VerHeul, who oversees Micron’s development for it and non-volatile memories. “It will evolve and become more efficient.”
In its core DRAM sector, “we see at least three technology nodes beyond the one we are working in now … we have more visibility than we have had in the last decade,” said Scott DeBoer, head of tech development at Micron. That said, “the cost reduction and bit-density increase per node is slowing and is not at the pace of the last 20 years.”
Micron’s DRAM roadmap does not require extreme ultraviolet lithography and is already using double- and quad-patterning. Advanced circuit designs are enabling operation with less charge stored in taller capacitors than used in the past, but otherwise, the overall architecture is a conventional one, added DeBoer.
Micron is already shipping DRAMs made in its sub-20-nm 1x process and expects first revenue for some made in its 1y process next quarter, said Eby. The transition to 16-Gbit chips from today’s mainstream 8-Gbit designs is near, but he would not comment on the viability of a 32G design.
— Rick Merritt, Silicon Valley Bureau Chief, EE Times
And in below screenshot BrainChips Update for the March 2019 Quarter Micron is mentioned
Fact Finder
Top 20
Can we put competitors to bed with the following extract:
“Currently existing neuromorphic architectures include
• IBM TrueNorth,
• Intel Loihi,
• Tianjic,
• SpiNNaker,
• BrainScaleS,
• NeuronFlow,
• DYNAP, and
• Akida.
Some of the above architectures are fully neuromorphic [31,32], while other remain hybrid, meaning that they use asynchronous circuits together with synchronous proces- sors [33,34].
Despite the field being still in its infancy, the first commercial neuromorphic processor was made available worldwide in August 2021. It is Akida from Australian company BrainChip. Unfortunately, these hardware platforms are very expensive at the time of writing and (apart from Akida) not feasibly available.”
My opinion only DYOR
FF
AKIDA BALLISTA
“Currently existing neuromorphic architectures include
• IBM TrueNorth,
• Intel Loihi,
• Tianjic,
• SpiNNaker,
• BrainScaleS,
• NeuronFlow,
• DYNAP, and
• Akida.
Some of the above architectures are fully neuromorphic [31,32], while other remain hybrid, meaning that they use asynchronous circuits together with synchronous proces- sors [33,34].
Despite the field being still in its infancy, the first commercial neuromorphic processor was made available worldwide in August 2021. It is Akida from Australian company BrainChip. Unfortunately, these hardware platforms are very expensive at the time of writing and (apart from Akida) not feasibly available.”
My opinion only DYOR
FF
AKIDA BALLISTA
Evermont
Stealth Mode
No mention of said names during an earlier grilling.
BRN Discussion Ongoing
Will it mean Intel can have a better look at akida than they were able to do before. Can they try to steal some of akida and implement into loihi? And the last part is it a sign that Intel is ready to purchase brainchip in a short time frame now? Dealing with the first of your two questions...
thestockexchange.com.au
If it's under NDA?Sent an email to Tony, asking if the Company can comment
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