Zedjack33
Regular
Very cryptic. Care to elaborate?
BRN Discussion Ongoing
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Zedjack33
Regular
Reads to me u have some inside running other investors don’t.
Fullmoonfever
Top 20
Posted about an hour ago apparently.
Authors bold.
news.financial
May 31st, 2022 | 13:22 CEST
time to read: 3 minutes | Author: Stefan Feulner
ISIN: INFINEON TECH.AG NA O.N. | DE0006231004 , NVIDIA CORP. DL-_001 | US67066G1040 , BRAINCHIP HOLDINGS LTD | AU000000BRN8
BrainChip is the world's first commercial manufacturer of neuromorphic AI chips and, with "Akida", offers, according to the Company's management, "the most efficient AI solution ever produced." The Akida processor is extremely low-power and high-performance, supporting the growth of edge AI technology through the use of neuromorphic architecture, a type of artificial intelligence inspired by the biology of the human brain. With each transaction, Akida thereby learns autonomously, making it suitable for modern edge devices. In addition to autonomous driving, areas of application include robotics, medical diagnostics and security technology.
The recently rising share prices are underpinned by outstanding news. The inclusion of BrainChip in ARM's partner program is equivalent to an accolade. According to the announcement, the British company's partner program is an ecosystem of hardware and software specialists designed to enable developers to create the next generation of AI solutions. Mohamed Awad, vice president of IoT and embedded at ARM, had this to say: "As part of ARM's AI Partner Program, BrainChip will enable developers to address the need for high-performance and ultra-low-power edge AI inference, enabling new innovation opportunities."
Authors bold.
Chip shares turn - Infineon, Nvidia and BrainChip in the next upward wave
Despite the chip shortage that has persisted since last year and the associated booming business of manufacturers, they came under a lot of pressure on the stock market in recent weeks in the wake of the weak overall market. The prospects for the industry remain positive, the semiconductor...
May 31st, 2022 | 13:22 CEST
CHIP SHARES TURN - INFINEON, NVIDIA AND BRAINCHIP IN THE NEXT UPWARD WAVE
- AI
- CHIPS
- INNOVATIONS
time to read: 3 minutes | Author: Stefan Feulner
ISIN: INFINEON TECH.AG NA O.N. | DE0006231004 , NVIDIA CORP. DL-_001 | US67066G1040 , BRAINCHIP HOLDINGS LTD | AU000000BRN8
TABLE OF CONTENTS:
- BRAINCHIP WITH TREND-CONFIRMING CORRECTION
- INFINEON AG - POSITIVE SIGNALS
- NVIDIA - THE SEARCH FOR THE BOTTOM
BRAINCHIP WITH TREND-CONFIRMING CORRECTION
A correction in the range of 75% tends to confirm the trend, especially for young innovative companies such as the IP company BrainChip. After a price explosion in the last final quarter, which drove the share of the Australian Company from EUR 0.30 to EUR 1.67, a stronger correction then set in. For example, in the middle of last month, the share price gap was closed at EUR 0.62. The relative strength indicator already recorded a buy signal, and the trend-following indicator MACD is close to it. The next price target should be closing a price gap again, this time at the level of EUR 0.98.BrainChip is the world's first commercial manufacturer of neuromorphic AI chips and, with "Akida", offers, according to the Company's management, "the most efficient AI solution ever produced." The Akida processor is extremely low-power and high-performance, supporting the growth of edge AI technology through the use of neuromorphic architecture, a type of artificial intelligence inspired by the biology of the human brain. With each transaction, Akida thereby learns autonomously, making it suitable for modern edge devices. In addition to autonomous driving, areas of application include robotics, medical diagnostics and security technology.
The recently rising share prices are underpinned by outstanding news. The inclusion of BrainChip in ARM's partner program is equivalent to an accolade. According to the announcement, the British company's partner program is an ecosystem of hardware and software specialists designed to enable developers to create the next generation of AI solutions. Mohamed Awad, vice president of IoT and embedded at ARM, had this to say: "As part of ARM's AI Partner Program, BrainChip will enable developers to address the need for high-performance and ultra-low-power edge AI inference, enabling new innovation opportunities."
Terroni2105
Founding Member
We’ve read this article a day or two ago but now it is being Tweeted by Edge Impulse
Rise from the ashes
Regular
What was the question.
Fullmoonfever
Top 20
I recall seeing @Bravo s and others discussions on..."beyond the Edge"
Just reading an April article and wondering.
If we think of our primary start point or playground as the Edge then what of the "beyond the Edge" back the other way to the cloud....being the Fog.
The area between the Edge and the Cloud.
Obviously partnered with at least one member of the the OpenFog Consortium...in red below.
dataconomy.com
Cisco coined fog computing to describe extending cloud computing to the enterprise’s edge. It’s a decentralized computing platform in which data, computation, storage, and applications are stored somewhere between the data source and the cloud.
Table of Contents
Fog, like edge computing, brings the benefits and power of the cloud closer to where data is generated and utilized. Many people confuse fog and edge computing since both imply bringing smarts and processing closer to the data’s source. This is frequently done to enhance productivity, but it can also be used for security and regulatory motivations.
Back in Berlin! Data Natives 2022, in person and online - tickets available now!
The OpenFog Consortium was formed as a joint venture between Cisco, Microsoft, Dell, Intel, Arm, and Princeton University. Other organizations that contributed to the consortium include General Electric (GE), Foxconn Technology Group, and Hitachi. The primary objectives of the consortium were to both promote and standardize fog computing. The OpenFog Consortium merged with the Industrial Internet Consortium (IIC) in 2019.
Edge devices and sensors collect data, but they sometimes lack the compute and storage capabilities to execute sophisticated analytics and machine learning algorithms. However, cloud servers are generally too far away to handle the data and respond promptly.
Furthermore, having all endpoints connected to and delivering raw data to the cloud over the internet may have privacy, security, and legal implications, especially when dealing with sensitive data subject to various country regulations. Smart grids, smart cities, smart buildings, vehicle networks, and software-defined networking are just a few popular fog computing systems.
Surprisingly, fog computing doesn’t aim to replace edge computing either. According to the OpenFog Consortium of Cisco, fundamental differences exist between these two methods. The intelligence and processing power location distinguish edge computing technology from fog computing. Intelligence is at the local network (LAN) in foggy environments with little visibility. Data is sent from endpoints to a fog gateway, which transmits it to sources for processing and returns transmission.
In edge computing, intelligence and power can exist in either the endpoints or gateways. Edge computing is said to have several advantages, one of which is that it eliminates points of failure because each device independently executes and determines which data to store locally and which data to send to a gateway or the cloud for further analysis.
The OpenFog Consortium, on the other hand, defines edge computing as a component or a subset of fog computing. Consider fog computing to be how data is handled from its inception to its final storage location. Edge computing entails processing data as close to its creation as possible. Fog computing refers to everything from the network connections that bring data from the edge to its endpoint to the edge processing itself.
Fog computing enables low-latency networking connections between devices and analytics endpoints. The architecture minimizes bandwidth requirements compared to if that data had to be transferred back to a data center or cloud for analysis. Organizations can also utilize it when there is no bandwidth connection to send data, so it must be handled promptly. Users can utilize fog networks to create security functions such as segmented network traffic, virtual firewalls, and more.
The rise of semi-autonomous and self-driving cars will only exacerbate the massive amount of data created by automobiles today. To operate autonomous cars effectively, you need the ability to evaluate certain data in real-time, such as weather, driving conditions, and instructions. Other data may be needed to help improve vehicle maintenance or monitor vehicle use. A fog computing environment would allow these data sources’ communications to occur both at the edge (in the vehicle) and the endpoint (the manufacturer).
Utility systems are also increasingly using real-time data to run processes efficiently. Because this data is frequently located in remote areas, it must be processed near where it was generated. Other times, the data must be aggregated from many sensors. Both of these difficulties can be addressed by fog and edge computing architectures.
From manufacturing systems that must be able to react to events as they occur to financial institutions that use real-time data to guide trading decisions or detect fraud. Fog computing solutions may help make data transfers easier by connecting places generated with destinations where it needs to go.
Fog computing needs more than just computing functions. It necessitates the fast transfer of data between IoT devices and nodes. The aim is to be able to process data in milliseconds. Of course, different connectivity choices are available depending on the scenario. A connected factory floor sensor, for example, may require a wired connection. On the other hand, a mobile resource, such as an autonomous car or a wind turbine in the middle of a field, will necessitate another kind of connection. The 5G is a compelling wireless technology that offers gigabit connectivity, crucial for data analysis in near-real-time.
Just reading an April article and wondering.
If we think of our primary start point or playground as the Edge then what of the "beyond the Edge" back the other way to the cloud....being the Fog.
The area between the Edge and the Cloud.
Obviously partnered with at least one member of the the OpenFog Consortium...in red below.
Is fog computing more than just another branding for edge computing?
Cisco coined fog computing to describe extending cloud computing to the enterprise's edge. It's a decentralized computing platform in which
dataconomy.com
IS FOG COMPUTING MORE THAN JUST ANOTHER BRANDING FOR EDGE COMPUTING?
HASAN SELMAN · APRIL 7, 2022Cisco coined fog computing to describe extending cloud computing to the enterprise’s edge. It’s a decentralized computing platform in which data, computation, storage, and applications are stored somewhere between the data source and the cloud.
Table of Contents
- What is fog computing?
- The origins of fog computing
- How does fog computing work?
- What is the difference between fog computing vs edge computing?
- Benefits of fog computing
- Use cases of fog computing
- How does fog computing affect the Internet of Things?
- What does 5G connectivity mean for fog computing?
WHAT IS FOG COMPUTING?
The cloud is connected to the physical host via a network connection in fog computing. The storage capacity, computational power, data, and applications are located in this middle space. These functionalities focus on the host, place close to it, and make processing faster as it is done close to where data is created.Fog, like edge computing, brings the benefits and power of the cloud closer to where data is generated and utilized. Many people confuse fog and edge computing since both imply bringing smarts and processing closer to the data’s source. This is frequently done to enhance productivity, but it can also be used for security and regulatory motivations.
THE ORIGINS OF FOG COMPUTING
The term fog computing was coined by one of Cisco’s product line managers, Ginny Nichols, in 2014. As we know from meteorology, fog describes clouds close to the ground. This computing method is called “fog” because it focuses on the network’s edge. After fog computing gained traction, IBM coined a similar term for a similar computing method, edge computing.Back in Berlin! Data Natives 2022, in person and online - tickets available now!
The OpenFog Consortium was formed as a joint venture between Cisco, Microsoft, Dell, Intel, Arm, and Princeton University. Other organizations that contributed to the consortium include General Electric (GE), Foxconn Technology Group, and Hitachi. The primary objectives of the consortium were to both promote and standardize fog computing. The OpenFog Consortium merged with the Industrial Internet Consortium (IIC) in 2019.
HOW DOES FOG COMPUTING WORK?
Fog computing is not a substitute for cloud computing; it works in tandem with cloud technology. Although fog networking complements cloud processing, it does not entirely replace it. Edge analytics is possible using fogging, but the cloud performs resource-intensive, longer-term analyses.Edge devices and sensors collect data, but they sometimes lack the compute and storage capabilities to execute sophisticated analytics and machine learning algorithms. However, cloud servers are generally too far away to handle the data and respond promptly.
Furthermore, having all endpoints connected to and delivering raw data to the cloud over the internet may have privacy, security, and legal implications, especially when dealing with sensitive data subject to various country regulations. Smart grids, smart cities, smart buildings, vehicle networks, and software-defined networking are just a few popular fog computing systems.
WHAT IS THE DIFFERENCE BETWEEN FOG COMPUTING VS EDGE COMPUTING?
Surprisingly, fog computing doesn’t aim to replace edge computing either. According to the OpenFog Consortium of Cisco, fundamental differences exist between these two methods. The intelligence and processing power location distinguish edge computing technology from fog computing. Intelligence is at the local network (LAN) in foggy environments with little visibility. Data is sent from endpoints to a fog gateway, which transmits it to sources for processing and returns transmission.
In edge computing, intelligence and power can exist in either the endpoints or gateways. Edge computing is said to have several advantages, one of which is that it eliminates points of failure because each device independently executes and determines which data to store locally and which data to send to a gateway or the cloud for further analysis.
Some defend that fog computing over edge computing is more scalable and provides a better big-picture perspective of the network as data from numerous sources is integrated. However, many network engineers argue that fog computing is simply a Cisco brand for one form of edge computing.
The OpenFog Consortium, on the other hand, defines edge computing as a component or a subset of fog computing. Consider fog computing to be how data is handled from its inception to its final storage location. Edge computing entails processing data as close to its creation as possible. Fog computing refers to everything from the network connections that bring data from the edge to its endpoint to the edge processing itself.
BENEFITS OF FOG COMPUTING
Fog computing platforms provide organizations with more options for data processing wherever it is most efficient to do so. For specific purposes, such as in a manufacturing scenario, when connected devices must be able to react to an emergency as soon as possible, data needs to be processed as quickly as feasible.Fog computing enables low-latency networking connections between devices and analytics endpoints. The architecture minimizes bandwidth requirements compared to if that data had to be transferred back to a data center or cloud for analysis. Organizations can also utilize it when there is no bandwidth connection to send data, so it must be handled promptly. Users can utilize fog networks to create security functions such as segmented network traffic, virtual firewalls, and more.
USE CASES OF FOG COMPUTING
The field of fog computing is still in its nascent phases. Still, there are a variety of possibilities for utilizing it. It has been shown that fog computing can be used for various tasks.The rise of semi-autonomous and self-driving cars will only exacerbate the massive amount of data created by automobiles today. To operate autonomous cars effectively, you need the ability to evaluate certain data in real-time, such as weather, driving conditions, and instructions. Other data may be needed to help improve vehicle maintenance or monitor vehicle use. A fog computing environment would allow these data sources’ communications to occur both at the edge (in the vehicle) and the endpoint (the manufacturer).
Utility systems are also increasingly using real-time data to run processes efficiently. Because this data is frequently located in remote areas, it must be processed near where it was generated. Other times, the data must be aggregated from many sensors. Both of these difficulties can be addressed by fog and edge computing architectures.
From manufacturing systems that must be able to react to events as they occur to financial institutions that use real-time data to guide trading decisions or detect fraud. Fog computing solutions may help make data transfers easier by connecting places generated with destinations where it needs to go.
HOW DOES FOG COMPUTING AFFECT THE INTERNET OF THINGS?
Fog computing is frequently employed in IoT applications since cloud computing isn’t suitable for many. The distributed approach addresses the demands of IoT and industrial IoT (IIoT) as well as the massive amounts of data generated by smart sensors and IoT devices, which would be costly and time-consuming to send to the cloud for processing and analysis. IoT systems require a lot of data to function correctly, so there’s a significant amount of traffic on the network. The fog computing approach reduces bandwidth consumption and back-and-forth communication between devices and the cloud, lowering IoT performance.WHAT DOES 5G CONNECTIVITY MEAN FOR FOG COMPUTING?
Fog computing is a type of architecture in which data from IoT devices is transmitted via a network of nodes in real-time. The information gathered by distributed sensors is usually processed at the sensor node, with a millisecond response time. The nodes send analytical summary data to the cloud regularly. That isn’t all. The data from the various nodes is then processed in cloud-based software, aiming to offer practical information.Fog computing needs more than just computing functions. It necessitates the fast transfer of data between IoT devices and nodes. The aim is to be able to process data in milliseconds. Of course, different connectivity choices are available depending on the scenario. A connected factory floor sensor, for example, may require a wired connection. On the other hand, a mobile resource, such as an autonomous car or a wind turbine in the middle of a field, will necessitate another kind of connection. The 5G is a compelling wireless technology that offers gigabit connectivity, crucial for data analysis in near-real-time.
Rise from the ashes
Regular
but in your next chat with pvdm can you ask why he removed the promo video that was associated with his book? Hehe I loved it. One man one world.
Sirod69
bavarian girl ;-)
Golem.de: IT-News für Profis
www.golem.de
thats interessting,
Arm-Brainchip, Arm-Qualcomm, Qualcomm-Brainchip
last week i asked Leendert where will he go, but he said i will know on 31.05, than I wrote i believe i know where, he asked what i think, I answered Brainchip or Arm? he told me good thinking from me and today we know that he went to Qualcomm abd Qualcomm thinks about buying Arm...
Techinvestor17
Regular
Noooo, please don’t do that. I would only have a few hundred million by that pointOn the question of a takeover as retail have more than sufficient numbers to prevent such occurring I thought I should declare that I would accept an offer which was equal to a fifty percent discount on Brainchip’s future true value in cash and or shares based on Peter van der Made’s assessed of ten times Microsoft’s valuation.
This is not advice simply a declaration of intent.
My opinion only DYOR
FF
AKIDA BALLISTA
SiDEvans
Regular
I think I’d settle for that FF. With some dodgy rounding that seems to be around $5,900 / share.On the question of a takeover as retail have more than sufficient numbers to prevent such occurring I thought I should declare that I would accept an offer which was equal to a fifty percent discount on Brainchip’s future true value in cash and or shares based on Peter van der Made’s assessed of ten times Microsoft’s valuation.
This is not advice simply a declaration of intent.
My opinion only DYOR
FF
AKIDA BALLISTA
Okeydokey01
Regular
DownrampingOn the question of a takeover as retail have more than sufficient numbers to prevent such occurring I thought I should declare that I would accept an offer which was equal to a fifty percent discount on Brainchip’s future true value in cash and or shares based on Peter van der Made’s assessed of ten times Microsoft’s valuation.
This is not advice simply a declaration of intent.
My opinion only DYOR
FF
AKIDA BALLISTA
alwaysgreen
Top 20
More use of the new buzzword "federated learning". https://9to5google.com/2021/03/26/google-assistant-hotword-federated-learning/
This time by Google. The article says they are storing and learning on device...
This time by Google. The article says they are storing and learning on device...
Last edited:
cosors
👀
Some internal Google policy... or coflicts:
www.wired.com
Tension Inside Google Over a Fired AI Researcher’s Conduct
Google employees claim a senior researcher fired earlier this year sought to undermine two more junior AI researchers by suggesting their results were wrong or even falsified.
MDhere
Regular
Morning Sirod
Very interesting discussion there you had and interesting article. With Nvidias failed takeover of Arm i dare say Qualcomm will face same issue except the possibility of trying to obtain majority stakeholder in the public offering so i imagine the offer will be in excess of what Nvidia was offering of 40 billion dollars.
We all would not want a take over of less then 40 billion dollars considering Brainchips expected growth so i would imagine (for imaginary purposes) that Qualcomm would come after Brainchip prior to Arms public offering to attempt to secure its left arm so to speak before gunnning for the right arm. So my thoughts sre Qualcomm/Softbank wil be in a bidding war with Brainchip with a very lucrative offer in the not so distant future. i know i know takeover is a swear word but sometimes my turretts kicks in.
Morning all.
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Blatant isn't it, FF should be ashamed of himselfDownramping
Despite lambasting FF's dire prediction I must admit I'm finding it difficult (and fun) imaging a world where BRN shares are even circa $100 - it's like holding a Powerball ticket and watching the numbers slowly drop in your favour (although I think our chances here are a little better). Exciting times ahead fellow holders.....(add appropriate disclaimers here
)Izzzzzzzzzzy
Regular
Morning
Tony Coles
Regular
Brainchip on you tube, just a moment ago.
Fact Finder
Top 20
I would like to think our chances are exponentially better:Blatant isn't it, FF should be ashamed of himself
(add appropriate disclaimers here
“What are the odds of winning Powerball?
To win Powerball, you must correctly predict the seven winning numbers plus the Powerball number. The odds of winning Division 1 of Powerball are 134,490,400 to 1 for every standard game.”In fact I think that truck they use in their adds is being load as I type.
My opinion only DYOR
FF
AKIDA BALLISTA
buena suerte :-)
BOB Bank of Brainchip
On the money there TG ... totally agree.... I'm a proud paid supportive member .. well done ZeeThats very nice of you, yes Z has done an amazing job here, it would be very nice for everyone to join Z's paid membership for all the great work he has done & the great work he continues to do everyday for us, my days are so much more pleasant now that I don't have to spend time at that other place.
To me this site is a very peaceful & informative place to be, I would hate to think if Z's costs were not covered for running this site that it could one day disappear, the price charts provided on this site alone cost thousands of dollars, not to mention all the other costs
Thanks for supporting Z Rise
Ha and despite those odds there is often a winner, sometimes several. I agree our odds and rewards here are infinitely better. Fun imagining where we will be in 10 yearsI would like to think our chances are exponentially better:
“What are the odds of winning Powerball?
To win Powerball, you must correctly predict the seven winning numbers plus the Powerball number. The odds of winning Division 1 of Powerball are 134,490,400 to 1 for every standard game.”
In fact I think that truck they use in their adds is being load as I type.
My opinion only DYOR
FF
AKIDA BALLISTA
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