Diskussion zu BrainChip Holdings (Seite 1515)
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Ich denke...langsam sollte der Fluss (wieder) in diese Tür...😉
https://vimeo.com/374033032
ASX:BRN
Phil Carey Cornerstone MediaPRO
CEO's that excitedly tell you an entire sector like AI is their target, often miss hitting the board all together.
Simply put - there's no great upside in being a jack of all trades and master of none - especially if you are in the disruptive technology (DT) space.
So it is refreshing to hear the phrase "It's not what to do, but which to do" from a DT CEO.
Louis DiNardo, CEO of Brainchip, has identified the chip maker's real strength is at what is called the "The edge" of of AI.
• “AI at the Edge” is a high-volume, high-growth market.
• Intelligence is provided and analytics are performed at the point of acquiring data rather than data being transferred to a central processing core in a data centre or in the cloud for analysis and action.
"The edge" is where the Branchip's proprietary chip, AKIDA, says it will help make AI based analytic computing, faster, more accurate, and even have the ability to learn at the edge.
For example, in an autonomous vehicle, the AKIDA chip could do a reasonable amount of data processing, literally next to a camera embedded into the front bumper.
This would eliminate the time it takes for the data to be sent to the cloud, a data centre or a computer in the boot/trunk of the car.
Reducing the reaction time of an autonomous vehicle is vital to their success.
Of course this makes good sense, but to achieve this is not easy as it might seem. And that is where AKIDA comes in.
The Akida Neuromorphic System-on-Chip (NSoC) is the first in a new breed of neuromorphic computing.
Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of neurons in the human brain.
Brainchip has been working away at getting some commercial deals locked in and it seems like it might be getting close, according to CEO Louis DiNardo.
Disruptive technology stocks should be considered very speculative, high-risk, and extremely volatile. There are significant risks inherent in developing new technologies that are not discussed here. You should always seek professional advice before considering any share purchase or sale. Please read our full disclaimer.
ASX:BRN
Phil Carey Cornerstone MediaPRO
CEO's that excitedly tell you an entire sector like AI is their target, often miss hitting the board all together.
Simply put - there's no great upside in being a jack of all trades and master of none - especially if you are in the disruptive technology (DT) space.
So it is refreshing to hear the phrase "It's not what to do, but which to do" from a DT CEO.
Louis DiNardo, CEO of Brainchip, has identified the chip maker's real strength is at what is called the "The edge" of of AI.
• “AI at the Edge” is a high-volume, high-growth market.
• Intelligence is provided and analytics are performed at the point of acquiring data rather than data being transferred to a central processing core in a data centre or in the cloud for analysis and action.
"The edge" is where the Branchip's proprietary chip, AKIDA, says it will help make AI based analytic computing, faster, more accurate, and even have the ability to learn at the edge.
For example, in an autonomous vehicle, the AKIDA chip could do a reasonable amount of data processing, literally next to a camera embedded into the front bumper.
This would eliminate the time it takes for the data to be sent to the cloud, a data centre or a computer in the boot/trunk of the car.
Reducing the reaction time of an autonomous vehicle is vital to their success.
Of course this makes good sense, but to achieve this is not easy as it might seem. And that is where AKIDA comes in.
The Akida Neuromorphic System-on-Chip (NSoC) is the first in a new breed of neuromorphic computing.
Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of neurons in the human brain.
Brainchip has been working away at getting some commercial deals locked in and it seems like it might be getting close, according to CEO Louis DiNardo.
Disruptive technology stocks should be considered very speculative, high-risk, and extremely volatile. There are significant risks inherent in developing new technologies that are not discussed here. You should always seek professional advice before considering any share purchase or sale. Please read our full disclaimer.
Trading Spotlight
🔮If you have watched the post "Building a Brain" you will have noted the size of the equipment being deployed to try and emulate in only the most limited way the functions of the human brain. If you compare this to what AKIDA is able to do then yes the idea of AKIDA is so far in advance as to be considered by some as science fiction. It is of course now accepted by those who have the capacity to know that it is real and that it can engage in unsupervised learning on a 28nm chip (ref; Mike Demler's report for Linley).
For a third time I will repeat my much earlier post as to how revolutionary AKIDA is when regard is had to conventional thinking on this subject:
"I posted the following underlined paragraphs back on 15 May, 2019. The prediction in your post of 2038 fits nicely with 2042. It is clear that neither McKinsey Global Institute, Richard Baldwin or Europa had any idea that BRN a tiny Aussie company was about to convince Socionext that it had cut 20 years off the timeline for chip based neuromorphic computing at the edge that is compatible with all existing technology and with "the ability without training to identify new patterns".
I have just finished reading Richard Baldwin's The Gobotics Upheaval which is an interesting read however the purpose in mentioning it is that at page 252 he provides a table of the "Year AI Attains Top-Level Human Performance in Workplace Skills" based upon data published by McKinsey Global Institute "A Future That Works: Automation, Employment, and Productivity," January, 2017 and under the heading "Thinking" 'the ability without training to identify new patterns' is predicted to occur no earlier than 2042.
Richard Baldwin's book was first published in the USA earlier this year by Oxford University Press and carries a positive endorsement by Larry Summers, former Chief Economist of the World Bank.
If AKIDA performs as we are led to believe and can be put into production it will be providing "the ability without training to identify new patterns" twenty two years earlier than has been predicted. No mean feat for a tiny little company to achieve on the basis of having raised only 40 million dollars to date."
I am sure for some the very idea of AKIDA remains science fiction.
For a third time I will repeat my much earlier post as to how revolutionary AKIDA is when regard is had to conventional thinking on this subject:
"I posted the following underlined paragraphs back on 15 May, 2019. The prediction in your post of 2038 fits nicely with 2042. It is clear that neither McKinsey Global Institute, Richard Baldwin or Europa had any idea that BRN a tiny Aussie company was about to convince Socionext that it had cut 20 years off the timeline for chip based neuromorphic computing at the edge that is compatible with all existing technology and with "the ability without training to identify new patterns".
I have just finished reading Richard Baldwin's The Gobotics Upheaval which is an interesting read however the purpose in mentioning it is that at page 252 he provides a table of the "Year AI Attains Top-Level Human Performance in Workplace Skills" based upon data published by McKinsey Global Institute "A Future That Works: Automation, Employment, and Productivity," January, 2017 and under the heading "Thinking" 'the ability without training to identify new patterns' is predicted to occur no earlier than 2042.
Richard Baldwin's book was first published in the USA earlier this year by Oxford University Press and carries a positive endorsement by Larry Summers, former Chief Economist of the World Bank.
If AKIDA performs as we are led to believe and can be put into production it will be providing "the ability without training to identify new patterns" twenty two years earlier than has been predicted. No mean feat for a tiny little company to achieve on the basis of having raised only 40 million dollars to date."
I am sure for some the very idea of AKIDA remains science fiction.
Antwort auf Beitrag Nr.: 61.812.430 von H2OAllergiker am 01.11.19 01:44:22https://d1io3yog0oux5.cloudfront.net/brainchipinc/files/Brai…
22.10.19 Natürlich
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