AARONASX
Holding onto what I've got
Totally agree with you there
Buy side is strong and very little resistance on the sell
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Totally agree with you there
Buy side is strong and very little resistance on the sell
Good Morning Chippers ,
Thinking shes about to go stratospheric.
.
Esq.
Thinking shes about to go stratospheric.
.Esq.
Last edited:
Pom down under
Top 20
buena suerte :-)
BOB Bank of Brainchip
Yep she's steadily moving in a positive trajectoryGood Morning Chippers ,
Thinking shes about to go stratospheric.
Esq.
...Low volume but solid!Better looking Buy/Sell ratio also
HarryCool1
Regular
Good Morning Chippers ,
Thinking shes about to go stratospheric.
Esq.
DingoBorat
Slim
Shortman showing 22/11/23.
Attachments
Fullmoonfever
Top 20
Nice to see a bit more positivity in the SP at the mo. Hopefully more to come as still long way to go.
Anyway, article a few months old that I was just reading and found interesting and enlightening with regards to ecosystem and co-creation in digital transformation.
Just highlights the path with the BRN model as well. Look forward to when some of our ecosystem starts to truly blossom in a $ sense.
With hardware and software becoming increasingly complex, higher levels of solution selling will be essential for technology vendors selling AIoT. Be prepared for more such co-creation, collaboration, ecosystems, and solutions propositions.
This week in Lisbon, Portugal, 60 of ASUS IoT’s partners gathered to hear about its new ‘Co-Winning’ partnership for delivering artificial intelligence of things (AIoT) solutions for markets such as smart retail, smart parking, and smart security. The idea is to create complete solutions to market with partners and co-sell and co-market.
In the press announcement, ASUS’s SVP and co-head of the open platform and AIoT business groups, Jackie Hsu, said, “The ultimate goal is to offer complete solutions to the market, thanks to the combined expertise contributed by our ecosystem partners and by the ASUS AIoT team.” Founded in 2019, ASUS IoT is a sub-brand of ASUS dedicated to the creation of solutions for AI and IoT, supported by a dedicated team of over 300 AI engineers and working closely with tier-1 partners. The ASUS AIoT Alliance Program represents an ecosystem of industry partners, including independent software vendors, value-added resellers, cloud solution providers, distributors, and system integrators.
ASUS IoT presented its ‘Co-Winning’ approach to partners in Lisbon, Portugal. (Image: ASUS)
ASUS IoT highlighted three examples of its ‘Co-Winning’ approach. One was with semiconductor distributor Macnica, in which they co-created a smart replenishment and electronic shelf labeling solution, which leverages AI analytics for accurate object recognition, enabling automated processes such as timely stock level alerts and seamless price updates on the shelves. These solutions were deployed in the stores of one of the leading retailers in Europe.
ASUS IoT license plate recognition includes Tinker Edge R (pictured), which is equipped with a Rockchip neural-processing unit (NPU). (Image: ASUS)
Another example is with SKIDATA, a European company which has installed more than 10,000 access systems for people and vehicles, to ‘revolutionize’ access control for guests arriving at the Perini Business Park in Brazil. Through the deployment of a sophisticated system, which utilizes license plate recognition technology, SKIDATA and ASUS IoT ensure efficient management of access while also generating statistical insights for park management. The parking solutions also include real-time occupancy detection, alerts, mobile payment/validation, and wayfinding.
The third example cited at the event is its work with Atos, in which they engaged in a collaborative project focused on audience analysis. Utilizing video analytics, the project aims to accurately determine the number of visitors to a picturesque riverside park, create heat maps to identify popular areas, and enable real-time water monitoring alerts and security analytics.
Collaboration and solutions are key
The co-creation approach is not necessarily new, but ASUS IoT clearly wanted to highlight the diversity of its ecosystem and how it is working with relevant partners to enable what is now termed quite widely as digital transformation.
Companies often talk about their technologies or products and the diverse markets they are going into. But those diverse markets don’t necessarily have the technical knowledge or system development expertise to deploy solutions that target their requirement specifically. In order for chip and system-level suppliers to deliver to those end customers, they need many people in the ecosystem that talk to customers at a higher level to understand the scope of their needs.
And that’s why companies like ASUS are working with ‘co-creators’ – these ecosystem partners that help deliver the final end product to the customer. I first heard the term co-create when I interviewed Jash Bansidhar, managing director of Advantech Europe, in 2020. He told me that it was essential to ‘co-create’, which involves working with independent systems integrators to provide application-ready system-level solutions for IoT implementation in industrial automation, healthcare and smart cities.
Bansidhar emphasized the need for presenting pre-packaged ideas to end-users, and the need to do so with partners who have domain-specific knowledge for the many different potential IoT applications. He remarked that decision-makers for industrial automation applications or smart cities are not going to implement IoT based on some ideas or PowerPoint slides, and that they are less interested in the actual technology stacks below it. “They are interested in knowing how it will look in their environment. So, proof of concepts can only be made once we understand the domain we are working in and the pain points of that domain. And then you need partnerships with ecosystem players who are working in those domains.”
Partner ecosystems are important to everyone, as highlighted successfully by companies like Arm in the processor space, and Nvidia in the GPU space (for example with its Jetson ecosystem). And many of the chip vendors have progressively been moving up the system stack to provide more board-level, system level and application-level solutions. For example, there are the Renesas ‘Winning Combinations’ which are targeted at system developer level. At maker level, companies like Arduino rely not just on their own boards, but a hole ecosystem and community through its Arduino shields, pluggable over the Arduino to deliver extra functionalities. And the major chip distributors also partner with key system integrators to deliver specific solutions – which was evident at embedded world in Nuremberg earlier this year and very much so at electronica in Munich in 2022.
With the complexity of technologies both at hardware and software level increasing rapidly, the higher levels of solution selling are going to be important to the technology vendors. So be prepared for more such co-creation, collaboration, ecosystems, and solutions propositions.
Anyway, article a few months old that I was just reading and found interesting and enlightening with regards to ecosystem and co-creation in digital transformation.
Just highlights the path with the BRN model as well. Look forward to when some of our ecosystem starts to truly blossom in a $ sense.
Delivering AIoT is all about ecosystems and co-creation
June 22, 2023 Nitin DahadWith hardware and software becoming increasingly complex, higher levels of solution selling will be essential for technology vendors selling AIoT. Be prepared for more such co-creation, collaboration, ecosystems, and solutions propositions.
This week in Lisbon, Portugal, 60 of ASUS IoT’s partners gathered to hear about its new ‘Co-Winning’ partnership for delivering artificial intelligence of things (AIoT) solutions for markets such as smart retail, smart parking, and smart security. The idea is to create complete solutions to market with partners and co-sell and co-market.
In the press announcement, ASUS’s SVP and co-head of the open platform and AIoT business groups, Jackie Hsu, said, “The ultimate goal is to offer complete solutions to the market, thanks to the combined expertise contributed by our ecosystem partners and by the ASUS AIoT team.” Founded in 2019, ASUS IoT is a sub-brand of ASUS dedicated to the creation of solutions for AI and IoT, supported by a dedicated team of over 300 AI engineers and working closely with tier-1 partners. The ASUS AIoT Alliance Program represents an ecosystem of industry partners, including independent software vendors, value-added resellers, cloud solution providers, distributors, and system integrators.
ASUS IoT presented its ‘Co-Winning’ approach to partners in Lisbon, Portugal. (Image: ASUS)ASUS IoT highlighted three examples of its ‘Co-Winning’ approach. One was with semiconductor distributor Macnica, in which they co-created a smart replenishment and electronic shelf labeling solution, which leverages AI analytics for accurate object recognition, enabling automated processes such as timely stock level alerts and seamless price updates on the shelves. These solutions were deployed in the stores of one of the leading retailers in Europe.
Another example is with SKIDATA, a European company which has installed more than 10,000 access systems for people and vehicles, to ‘revolutionize’ access control for guests arriving at the Perini Business Park in Brazil. Through the deployment of a sophisticated system, which utilizes license plate recognition technology, SKIDATA and ASUS IoT ensure efficient management of access while also generating statistical insights for park management. The parking solutions also include real-time occupancy detection, alerts, mobile payment/validation, and wayfinding.
The third example cited at the event is its work with Atos, in which they engaged in a collaborative project focused on audience analysis. Utilizing video analytics, the project aims to accurately determine the number of visitors to a picturesque riverside park, create heat maps to identify popular areas, and enable real-time water monitoring alerts and security analytics.
Collaboration and solutions are key
The co-creation approach is not necessarily new, but ASUS IoT clearly wanted to highlight the diversity of its ecosystem and how it is working with relevant partners to enable what is now termed quite widely as digital transformation.
Companies often talk about their technologies or products and the diverse markets they are going into. But those diverse markets don’t necessarily have the technical knowledge or system development expertise to deploy solutions that target their requirement specifically. In order for chip and system-level suppliers to deliver to those end customers, they need many people in the ecosystem that talk to customers at a higher level to understand the scope of their needs.
And that’s why companies like ASUS are working with ‘co-creators’ – these ecosystem partners that help deliver the final end product to the customer. I first heard the term co-create when I interviewed Jash Bansidhar, managing director of Advantech Europe, in 2020. He told me that it was essential to ‘co-create’, which involves working with independent systems integrators to provide application-ready system-level solutions for IoT implementation in industrial automation, healthcare and smart cities.
Bansidhar emphasized the need for presenting pre-packaged ideas to end-users, and the need to do so with partners who have domain-specific knowledge for the many different potential IoT applications. He remarked that decision-makers for industrial automation applications or smart cities are not going to implement IoT based on some ideas or PowerPoint slides, and that they are less interested in the actual technology stacks below it. “They are interested in knowing how it will look in their environment. So, proof of concepts can only be made once we understand the domain we are working in and the pain points of that domain. And then you need partnerships with ecosystem players who are working in those domains.”
Partner ecosystems are important to everyone, as highlighted successfully by companies like Arm in the processor space, and Nvidia in the GPU space (for example with its Jetson ecosystem). And many of the chip vendors have progressively been moving up the system stack to provide more board-level, system level and application-level solutions. For example, there are the Renesas ‘Winning Combinations’ which are targeted at system developer level. At maker level, companies like Arduino rely not just on their own boards, but a hole ecosystem and community through its Arduino shields, pluggable over the Arduino to deliver extra functionalities. And the major chip distributors also partner with key system integrators to deliver specific solutions – which was evident at embedded world in Nuremberg earlier this year and very much so at electronica in Munich in 2022.
With the complexity of technologies both at hardware and software level increasing rapidly, the higher levels of solution selling are going to be important to the technology vendors. So be prepared for more such co-creation, collaboration, ecosystems, and solutions propositions.
MDhere
Top 20
Right well that tightness that I was feeling this morning didn't last long lol
supersonic001
Regular
BrainChip on LinkedIn: Episode 29 – Podcast with Edge Impulse CEO Zach Shelby on AI after the…
Back by popular demand. Edge Impulse CEO Zach Shelby provides insights on the rapid growth of #EdgeAI, on the BrainChip #podcast. We're moving from the hype…
db1969oz
Regular
ASX site, shows zero yesterday. Google daily shorts ASX and follow the link.
Damo4
Regular
IMEC has caught the European MemRistor disease:Can someone please call Rob Telson ASAP to get him to speak to someone at Phillips Medical Systems?
I just stumbled upon this Power Point Preso which shows Phillips are working with IMEC on the denoising of medical XRAYs using SNN's (SENECA) and they're hoping to apply this same technology can be applied in WIDE RANGE OF CLINICAL APPLICATION AREAS.
I believe that SENESA is still only at research stage which could leave the door wide open for us to say hello to Phillips. It says in this research paper below, published 23 June 23 that " The SENECA platform and the tools used in this project are available for academic research upon request."
Then there's also this Linkedin response from 5 months ago where the researcher at IMEC says they can't compare SENECA with BrainChip which he differentiates as being "commercial neuromorphic architecture".
SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges - PMC
Neuromorphic processors aim to emulate the biological principles of the brain to achieve high efficiency with low power consumption. However, the lack of flexibility in most neuromorphic architecture designs results in significant performance loss ...www.ncbi.nlm.nih.gov
View attachment 50712
View attachment 50713
EP3671748A1 IN-MEMORY COMPUTING FOR MACHINE LEARNING 20181221
EP3671750A1 SYNAPSE CIRCUIT WITH MEMORY
US11443174B2 Machine learning accelerator
AusEire
Founding Member. It's ok to say No to Dot Joining
Must have been another secret meeting between retail shareholders Tony, Sean and Geoff.
I mean that is really the only explanation for the 12% increase today
Looking forward to the Motley Fools ANALysis on the SP growth today. Should be great!
I mean that is really the only explanation for the 12% increase today
Looking forward to the Motley Fools ANALysis on the SP growth today. Should be great!
Fullmoonfever
Top 20
Hopefully the popularity grows
www.rankred.com
Intel’s neuromorphic chip Loihi-2
Neuromorphic chips are designed to mimic the structure and functionality of the human brain. This emerging field of electronics is inspired by the architecture and principles of the nervous system.
It aims to develop hardware that can perform tasks like pattern recognition and decision-making more efficiently than conventional computing architectures.
Neuromorphic systems are adaptive and can learn from experience. They excel at parallel processing and performing tasks related to pattern recognition. Moreover, they often feature low power consumption because they leverage the principle from the brain, where neurons activate only when necessary, leading to more energy-efficient computing.
Hardware implementations of these systems involve the use of specialized neuromorphic chips. These chips are developed to execute neural network algorithms efficiently and are optimized for specific neuromorphic computing tasks.
IBM’s TrueNorth and Intel’s Loihi are the two most popular examples of neuromorphic chips. BrainChip’s Akida Neuromorphic System-on-Chip has also gained popularity for edge applications.
17 Emerging Technologies in Electronics That Will Change Our Future - RankRed
Explore the emerging world of electronics where many revolutionary devices are yet to be invented. Find out what the future could bring us.
www.rankred.com
17 Emerging Technologies in Electronics That Will Change Our Future
November 22, 202311 min read1. Neuromorphic Hardware
Neuromorphic chips are designed to mimic the structure and functionality of the human brain. This emerging field of electronics is inspired by the architecture and principles of the nervous system.
It aims to develop hardware that can perform tasks like pattern recognition and decision-making more efficiently than conventional computing architectures.
Neuromorphic systems are adaptive and can learn from experience. They excel at parallel processing and performing tasks related to pattern recognition. Moreover, they often feature low power consumption because they leverage the principle from the brain, where neurons activate only when necessary, leading to more energy-efficient computing.
Hardware implementations of these systems involve the use of specialized neuromorphic chips. These chips are developed to execute neural network algorithms efficiently and are optimized for specific neuromorphic computing tasks.
IBM’s TrueNorth and Intel’s Loihi are the two most popular examples of neuromorphic chips. BrainChip’s Akida Neuromorphic System-on-Chip has also gained popularity for edge applications.
Damo4
Regular
Must have been another secret meeting between retail shareholders Tony, Sean and Geoff.
I mean that is really the only explanation for the 12% increase today
Looking forward to the Motley Fools ANALysis on the SP growth today. Should be great!
Should I bee happy or sad then?
GDJR69
Regular
Yes it will read something like this:Must have been another secret meeting between retail shareholders Tony, Sean and Geoff.
I mean that is really the only explanation for the 12% increase today
Looking forward to the Motley Fools ANALysis on the SP growth today. Should be great!
"Why did BS meme stock Brainchip rise 12% today? Like seriously WTF?
BS meme stock Brainchip (called Brainshit in the MF office) rose 12% today. The stock with its non-selling commercial flop of a product and its deluded cult like supporters will no doubt get a speeding ticket. The stock has lost 90% in the last 12 months. But before you invest in Brainshit, did you know it isn't one of 5 stocks that Scott recommends? Pay us some money and we will tell you what the 5 stocks are (but take no responsibility for our many losers that we don't like to talk about).
Yours MicklePickle"
Now that's about the standard of objective journalism that I have come to expect from MF when it comes to BRN . . .
DingoBorat
Slim
"IBM’s TrueNorth and Intel’s Loihi are the two most popular examples of neuromorphic chips. BrainChip’s Akida Neuromorphic System-on-Chip has also gained popularity for edge applicationsHopefully the popularity grows
17 Emerging Technologies in Electronics That Will Change Our Future - RankRed
Explore the emerging world of electronics where many revolutionary devices are yet to be invented. Find out what the future could bring us.
17 Emerging Technologies in Electronics That Will Change Our Future
November 22, 202311 min read
1. Neuromorphic Hardware
Intel’s neuromorphic chip Loihi-2
Neuromorphic chips are designed to mimic the structure and functionality of the human brain. This emerging field of electronics is inspired by the architecture and principles of the nervous system.
It aims to develop hardware that can perform tasks like pattern recognition and decision-making more efficiently than conventional computing architectures.
Neuromorphic systems are adaptive and can learn from experience. They excel at parallel processing and performing tasks related to pattern recognition. Moreover, they often feature low power consumption because they leverage the principle from the brain, where neurons activate only when necessary, leading to more energy-efficient computing.
Hardware implementations of these systems involve the use of specialized neuromorphic chips. These chips are developed to execute neural network algorithms efficiently and are optimized for specific neuromorphic computing tasks.
IBM’s TrueNorth and Intel’s Loihi are the two most popular examples of neuromorphic chips. BrainChip’s Akida Neuromorphic System-on-Chip has also gained popularity for edge applications.
Exactly how did they determine that TrueNorth and Loihi are the 2 most "popular" examples, when they are both still research chips??..
Maybe the 2 most well known?
That will change.
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