MDhere
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" this"series which means its in the other series
Pertinent word is "this" snd refers writer to their website where they can find the correct answer
very clever direction. love it. 
BRN Discussion Ongoing
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Pertinent word is "this" snd refers writer to their website where they can find the correct answer
very clever direction. love it. The Benefits of Integrating AI and ML in Robotic Automation Systems
www.linkedin.com
The Benefits of Integrating AI and ML in Robotic Automation Systems
Robots are intelligent and autonomous machines that can mimic human movements and assist us in various ways. Some robots can resemble humans, while others are robotic applications or bots, such as robotic automation systems, which simulate human interaction with computer applications.
I think that they would want to incorporate either Akida 1500 or Akida Gen 2 into their new products rather than using the original Akida 1.0..... IMO, it is most likely with all our other NDA's, Partners, Customers and Collaborators that they too will want to do same to enhance the commercialisation of their products and brand name.
Interesting use of words here ...That being:
" We've confirmed that this series does not ".
Thus this Implies to me that we may well be in the next generation of this product..... they probably want an updated Akida Gen 2 IP
buena suerte :-)
BOB Bank of Brainchip
Exactly MD ..."this" series (previous!) maybe we are now in the new series!!??" this"series which means its in the other series
Pertinent word is "this" snd refers writer to their website where they can find the correct answer
Yoda
Regular
To me that is the most obvious explanation for the delay in IP agreements and revenue. It makes perfect sense.
Learning
Learning to the Top 🕵♂️
To me personally, I don't believe that's to be the case.
By memory, Antonio said at the AGM (It take about 3 years to just test for a product.)
And Brainchip's relationships with Socionext date back mid 2019. Not until early this year at CES/ December 2022. We get the press releases.
"Advanced AI Solutions for Automotive
Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.
BrainChip's flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.
Creating a proprietary chip requires a complex, highly structured framework with a complete support system for addressing each phase of the development process. With extensive experience in custom SoC development, Socionext uses state-of-the-art process technologies, such as 7nm and 5nm, to produce automotive-grade SoCs that ensure functional safety while accelerating software development and system verification."
Socionext to Demonstrate Leading-Edge Automotive Custom SoC Solutions at CES 2023, Booth 10654
/PRNewswire/ -- Socionext Inc., a global leader in the design and development of innovative System-on-Chip products, will showcase its automotive custom SoC...
So basically Brainchip had an agreement with Socionext do development Neuromorphic System-on-Chip (NSoC). Since 2019.
Socionext would be working with AKIDA1000. Hence, at 2023 CES. Socionext has publicly telling the world they will have a custom SOC for Automotive:- (Advanced AI Solutions for Automotive Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.)
So in saying that's. Why would Socionext wasted time and resources close to 3 years, just to let go of AKIDA 1000 R&D and and wait for AKD1500, AKIDA 2.0 just to start R&D again.
Hope that make sense.
Just read the 21 December 2022 press-releases. "Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP."
Learning 🏖
TheFunkMachine
seeds have the potential to become trees.
https://www.linkedin.com/posts/luca...1-MXCt?utm_source=share&utm_medium=member_ios
I am not necessarily a fan of WEF agenda for its ideal world, but in terms of revenue it could be massive for BrainchipAkida if Prophesee gets traction in this sphere of influence.
I love Brainchip not only for its technology and potential to make my family well off one day, but that they have a code of ethics wanting to use their technology for the benefit of mankind.
I hope they are able to stay true to this sentiment and still be successful in this world…it’s a tough one for sure.
I am not necessarily a fan of WEF agenda for its ideal world, but in terms of revenue it could be massive for BrainchipAkida if Prophesee gets traction in this sphere of influence.
I love Brainchip not only for its technology and potential to make my family well off one day, but that they have a code of ethics wanting to use their technology for the benefit of mankind.
I hope they are able to stay true to this sentiment and still be successful in this world…it’s a tough one for sure.
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Yoda
Regular
You are assuming they have wasted time and resources and that they would have to start again. That may not be the case. However, it is possible that there is a further use case that Akida 1500 offers that they want to incorporate and that with the research and testing they have already conducted it is worth a further reasonable delay to get the extra functionality. We don't know but it's quite plausible.To me personally, I don't believe that's to be the case.
By memory, Antonio said at the AGM (It take about 3 years to just test for a product.)
And Brainchip's relationships with Socionext date back mid 2019. Not until early this year at CES/ December 2022. We get the press releases.
"Advanced AI Solutions for Automotive
Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.
BrainChip's flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.
Creating a proprietary chip requires a complex, highly structured framework with a complete support system for addressing each phase of the development process. With extensive experience in custom SoC development, Socionext uses state-of-the-art process technologies, such as 7nm and 5nm, to produce automotive-grade SoCs that ensure functional safety while accelerating software development and system verification."
Socionext to Demonstrate Leading-Edge Automotive Custom SoC Solutions at CES 2023, Booth 10654
/PRNewswire/ -- Socionext Inc., a global leader in the design and development of innovative System-on-Chip products, will showcase its automotive custom SoC...www.prnewswire.com
So basically Brainchip had an agreement with Socionext do development Neuromorphic System-on-Chip (NSoC). Since 2019.
Socionext would be working with AKIDA1000. Hence, at 2023 CES. Socionext has publicly telling the world they will have a custom SOC for Automotive:- (Advanced AI Solutions for Automotive Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.)
So in saying that's. Why would Socionext wasted time and resources close to 3 years, just to let go of AKIDA 1000 R&D and and wait for AKD1500, AKIDA 2.0 just to start R&D again.
Hope that make sense.
Just read the 21 December 2022 press-releases. "Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP."
Learning 🏖
Is this not just putting our 2020 cooperation agreement on a more formal footing:To me personally, I don't believe that's to be the case.
By memory, Antonio said at the AGM (It take about 3 years to just test for a product.)
And Brainchip's relationships with Socionext date back mid 2019. Not until early this year at CES/ December 2022. We get the press releases.
"Advanced AI Solutions for Automotive
Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.
BrainChip's flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.
Creating a proprietary chip requires a complex, highly structured framework with a complete support system for addressing each phase of the development process. With extensive experience in custom SoC development, Socionext uses state-of-the-art process technologies, such as 7nm and 5nm, to produce automotive-grade SoCs that ensure functional safety while accelerating software development and system verification."
Socionext to Demonstrate Leading-Edge Automotive Custom SoC Solutions at CES 2023, Booth 10654
/PRNewswire/ -- Socionext Inc., a global leader in the design and development of innovative System-on-Chip products, will showcase its automotive custom SoC...
So basically Brainchip had an agreement with Socionext do development Neuromorphic System-on-Chip (NSoC). Since 2019.
Socionext would be working with AKIDA1000. Hence, at 2023 CES. Socionext has publicly telling the world they will have a custom SOC for Automotive:- (Advanced AI Solutions for Automotive Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP.)
So in saying that's. Why would Socionext wasted time and resources close to 3 years, just to let go of AKIDA 1000 R&D and and wait for AKD1500, AKIDA 2.0 just to start R&D again.
Hope that make sense.
Just read the 21 December 2022 press-releases. "Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip's Akida® processor IP."
Learning 🏖
https://brainchip.com/brainchip-and...rm-for-ai-edge-applications-brainchip-230320/
23 March 2020
BrainChip and Socionext Provide a New Low-Power Artificial Intelligence Platform for AI Edge Applications
ALISO VIEJO, Calif.–(BUSINESS WIRE)– BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that Socionext Inc., a leader in advanced SoC solutions for video and imaging systems, will offer customers an Artificial Intelligence Platform that includes the Akida SoC, an ultra-low power high performance AI technology.
...
Socionext has played an important role in the implementation of BrainChip’s Akida IC, which required the engineering teams from both companies to work in concert. BrainChip’s AI technology provides a complete ultra-low power AI Edge Network for vision, audio, and smart transducers without the need for a host processor or external memory. The need for AI in edge computing is growing, and Socionext and BrainChip plan to work together in expanding this business in the global market.
Complementing the Akida SoC, BrainChip will provide training and technical customer support, including network simulation on the Akida Development Environment (ADE), emulation on a Field Programmable Gate Array (FPGA) and engineering support for Akida applications.
Socionext also offers a high-efficiency, parallel multi-core processor SynQuacerTM SC2A11 as a server solution for various applications. Socionext’s processor is available now and the two companies expect the Akida SoC engineering samples to be available in the third quarter of 2020.
In addition to integrating BrainChip’s AI technology in an SoC, system developers and OEMs may combine BrainChip’s proprietary Akida device and Socionext’s processor to create high-speed, high-density, low-power systems to perform image and video analysis, recognition and segmentation in surveillance systems, live-streaming and other video applications.
“Our neural network technology enables ultra-low power AI technology to be implemented effectively in edge applications”, said Louis DiNardo, CEO of BrainChip. “Edge devices have size and power consumption constraints that require a high degree of integration in IC solutions. The combination of BrainChip’s technology and Socionext’s ASIC expertise fulfills the requirements of edge applications. We look forward to working with the Socionext in commercial engagements.”
“As a leading provider of ASICs worldwide, we are pleased to offer our customers advanced technologies driving new innovations,” said Noriaki Kubo, Corporate Executive Vice President of Socionext Inc. “The Akida family of products allows us to stay at the forefront of the burgeoning AI market. BrainChip and Socionext have successfully collaborated on the Akida IC development and together, we aim to commercialize this product family and support our increasingly diverse customer base.”
The plan has always been to offer Akida on its own and combined with Synquacer.
As an edge server (DELL?), you would expect a full Akida P to be included at some time in the not too distant future, and Synquacer scales up to a cloud server.
Ubiquitous!
Learning
Learning to the Top 🕵♂️
I agree on the extra functionality, but
my assumption was based AKIDA 1000 and AKD1500, as they are a little bit different.
AKIDA 1000 TSMC 28nm with an ARM M cortex.
AKD1500 are design on GlobalFoundries’ 22nm fully depleted silicon-on-insulator (FD-SOI) technology ( without the ARM M cortex).
So if Socionext has been testing AKIDA 1000. I would assume they will need to test ADK1500 to ensure everything works together also. I don't believe it's easy as pluck and play.
But hey, at the end of the day. I am just a handy man. I have only voices my personal opinion.
Learning 🏖
Learning
Learning to the Top 🕵♂️
And that's is exactly my point. The relationship is getting stronger and bearing fruits.
.Socionext is Brainchip first relationship with AKIDA1000. Although words on the grapevine the relationship is complicated
. But they are getting their with the custome SOC for "intelligent sensor data solutions based on Brainchip's Akida® processor IP." (
)Learning 🏖
Hi Learning,
I don't think Akida 1500 provides any additional functionality over the vanilla Akida. In fact, apart from its FDSOI makeup, it's an el cheapo version stripped of the ARM cortex processor as it can be used with any processor.
Akida 2 is a different kettle of fish, brimming with bells and whistles.
As we've seen with Renesas, it takes time, even for those with the do-it-yourself kit.
Boab
I wish I could paint like Vincent
Archer Materials are also making claims but still a long way off production AXE is their ASX code
Getupthere
Regular
Israel embraces cutting-edge AI to thwart cyberattacks, foil terrorism — Fox News
The IDF integrated AI for operations to hunt Hamas leaders and has used AI to detect and counter cyberattacks, helping to thwart the majority of such attacks.
JDelekto
Regular
I just want to point out that quantum computing is not a panacea. Quantum algorithms, unlike classic algorithms, excel at certain operations, like unordered searches, factoring large numbers, finding primes, etc. The results of running a quantum algorithm are probabilistic, and it is quite possible the wrong answer is achieved, which is why one area, error correction, is getting a lot of attention in quantum algorithms.
Basically, the qubits in a quantum processor are put into a state of "superposition", where they can represent all values at once. A function called an "Oracle" (where a start and end result are known) is applied one or more times to the qubits in order to steer their probability that the measured result will be correct.
"Grover's Algorithm" is a quantum search algorithm, which operates in O(sqrt(N)) time. In simple terms, it means that if it takes me "N" iterations to (let's say 10,000) to find a value in an unordered set, then it would take roughly 100 applications of the Oracle function against the qubits to ensure their probability of finding the correct answer. This scales well with extremely large amounts of data.
I imagine that one day there will be quantum algorithms that can train models or inference at much better speeds than classic processors, I still think that is a little ways off and the power required by quantum computers would not necessarily be suited for edge processing.
I think that both quantum computers and Akida are two different beasts, and I think they are mutually exclusive technologies that are suited for different purposes.
To put my optimistic spin on it, I could see quantum computers being used for reducing the cost and time of training models that can be run on neuromorphic processors like Akida, which can in turn both inference and augment the model with its learning capabilities in edge computing applications.
GStocks123
Regular
Will Viana sell his shares tomorrow ????
rgupta
Regular
May be tax accountant can better answer your question
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