Deadpool
hyper-efficient Ai
To late I reckon on this one, the ducks have knocked down the temporary pen and are making a run for it.
BRN Discussion Ongoing
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I can't even... It's just my opinion, but it sounds like they really screwed up big time… let’s see what comes next…
Holy cow! This is some serious shtshow from TekSun. Braini keep repeating that they didn't approve it, but now they just released the approved version? What the actual fck?
I can't even... It's just my opinion, but it sounds like they really screwed up big time… let’s see what comes next…Vladsblood
Regular
Haha
that’s funny. Looks like they need Akida2 to the rescue lol cheers. VladRise from the ashes
Regular
Ok those people who are targeting me, you've won. I'm deleting my account.
Steve10
Regular
Toshiba also mentions with growth of IoT the cloud will not cope. Edge computing is required. I think article is from 2017.
Real-time processing of site data is one of the key issues involved in implementing digital transformation. It is an extremely difficult challenge to collect all diverse IoT (Internet of Things) data, which is generated at an extremely high, millisecond rate, in a data center, store it in databases, and use time-series variations to catch even the tiniest irregular values. From the perspective of heavy network load with these explosive data, as well, data processing which relies on cloud computing presents a major hurdle to realizing digital transformation. What is needed is a high-speed, efficient data processing platform which minimizes the amount of data communications between worksites and the cloud, while performing immediate on-site processing at the same time. Let's look at SmartEDA, the embodiment of the edge computing positioned as one of the core technologies in SPINEX.
However, the more service becomes sophisticated, the wider and greater varieties and volume of IoT data becomes, such as sensor data, images, audio, and video. At the same time, the scope of acquired data is also expanding; from factory, building, and field equipment and devices to social infrastructure information, such as power usage conditions and transportation information, and information regarding people's behaviors, situations, and emotions. As the amount of cloud data expands, purely cloud-based service provision will reach at its limits. Cloud alone will not be able to handle these explosive data.
This is why Toshiba has been at the forefront of “edge computing.” By providing devices and gateways with intelligence, processing can be performed in the worksite, closer to end users. Clouds and edges (sites) are linked and optimization is achieved while performing autonomous, distributed processing. This makes it possible to perform high-speed processing of IoT data using appropriate devices and at appropriate locations, while minimizing communications delays and the loads placed on clouds. Performing on-site processing of data requiring real-time processing and cloud processing of data which is accumulated before processing helps produce more effective data utilization methods and create innovative services. It is believed that the use of edge computing along with cloud computing keeps growing, and 40% of the data now kept on clouds will be migrated to edges by 2020. In the future, edge computing will be expected to make major contributions to automated driving systems and drone-based monitoring systems.
Toshiba's SmartEDA is a data collection and event processing platform for building using edge computing technology. It is composed of SmartEDA Agents, which autonomously process data in devices and gateways, and SmartEDA Servers, which collect data from clouds, factories, facilities, and the like, and perform device management. Intelligent devices and servers communicate with each other, performing different roles, to reduce the volume of communications between sites and clouds while performing immediate processing of site data (Fig. 1).
One of SmartEDA Agent's major features is its edge intelligence. It possesses various algorithms and determination functions to rapidly detect irregularities in data which arrives every matter of milliseconds, and to issue alerts and perform automatic processing. For example, it performs 3 sigma analysis, using sensor values for a specified time interval as an analysis population and identifying not only deviating values but also gradual changes and degradation trends. Log pattern detection finds out specified patterns in log data. An IF-THEN rule engine issues notifications and performs automatic processing based on edge data values and combinations of values.
Event information detected on the edge is stored in the cloud and is available for analysis. With machine learning, event acquiring accuracy, such as abnormalities, is expected to increase. On the other hand, on the cloud side, multiple events are combined and used in compound data processing. This makes it possible to detect chain reactions and errors caused by interference, as well as signs of these phenomena occurring in the imminent future, and implement proactive control and preventative maintenance.
Another of SmartEDA's features is its convenience. It allows detected events and processing rules obtained via big data analysis in the cloud to configure in-site agents. It does not merely send information to site devices, but is capable of configuring and changing rules tailored to site device configurations. It can manage configuration information, such as what gateway devices are connected to what machine tools, as well as the version numbers of the software in the machine tools, helping to tailor rules to specific devices. Because of this function, edge computing is suitable not only for periodic use in mass production manufacturing lines, but also in small lot, high variety production in which products, components, and materials change dynamically.
SmartEDA not only monitors and detects irregularities in factory device, but also possesses innovative functions for supporting field IoT solutions. In conventional device and equipment maintenance, when outage notifications are received it is common to not know which components need to be replaced until on-site examination completed. The components are then ordered and engineer visited again for its replacement.
SmartEDA's remote access function makes remote maintenance easy, reducing costs and maintenance times. Site gateway devices are logged into via the cloud and device conditions and logs can be checked remotely. This makes it possible to determine components replacement timing in advance.
SmartEDA also provides functions for simply and efficiently organizing and managing applications customers use for individual operations and issues, such as information display functions linked with wide area maps, facility floor maps, and store floor maps.
SmartEDA has potential for use in a wide range of scenarios thanks to its real-time data processing capabilities rooted in edge intelligence and its ability to provide advanced manageability and convenience in mobile form.
Agents can be installed in smartphones and used in place of gateway devices to combine information obtained from sensors with smartphone GPS (Global Positioning System) positioning information and send it to the cloud.
For example, in the distribution field, truck locations, cargo conditions such as temperatures and cargo volumes, and the like can be tracked and used to optimize truck allocation and reduce delivery risks. SmartEDA has been used in pilot tests to assess cooling conditions and shock information for fresh vegetable delivery trucks, analyze and optimize delivery, and identify delivery container locations. By being combined with IF-THEN rule engines, it can automatically perform required processing when necessary, based on sensor conditions and the locations of smartphone users by processing and notification settings configured in advance.
Work is underway for vehicle-mounted gateways, for use in vehicle IoTs using SmartEDA.
We are also considering integration SmartEDA with LPWA (Low Power Wide Area) wireless technology, which is capable of transferring data several kilometers. LPWA enables to acquire information from sensors distributed over a wide area while using extremely little power. IoT use case will be expanding tremendously by LPWA. This will further expand the usage scope of SmartEDA, which performs initial data processing, irregularity detection, and decision-making in site devices and gateway devices.
By realizing digital transformation with edge computing, nothing would make us happier than if SmartEDA were to help to creating richer industries and society.
www.global.toshiba
Real-time processing of site data is one of the key issues involved in implementing digital transformation. It is an extremely difficult challenge to collect all diverse IoT (Internet of Things) data, which is generated at an extremely high, millisecond rate, in a data center, store it in databases, and use time-series variations to catch even the tiniest irregular values. From the perspective of heavy network load with these explosive data, as well, data processing which relies on cloud computing presents a major hurdle to realizing digital transformation. What is needed is a high-speed, efficient data processing platform which minimizes the amount of data communications between worksites and the cloud, while performing immediate on-site processing at the same time. Let's look at SmartEDA, the embodiment of the edge computing positioned as one of the core technologies in SPINEX.
A core technology of SPINEX that supports cooperation between clouds and edges
Cloud services are used in a variety of business and daily life situations. Big data collected via the IoT system is effectively analyzed using AI (Artificial Intelligence), providing users high levels of convenience and new experiences. In the past, in order to perform these processes rapidly while responding to environmental and social changes, all data has been gathered in the cloud.However, the more service becomes sophisticated, the wider and greater varieties and volume of IoT data becomes, such as sensor data, images, audio, and video. At the same time, the scope of acquired data is also expanding; from factory, building, and field equipment and devices to social infrastructure information, such as power usage conditions and transportation information, and information regarding people's behaviors, situations, and emotions. As the amount of cloud data expands, purely cloud-based service provision will reach at its limits. Cloud alone will not be able to handle these explosive data.
This is why Toshiba has been at the forefront of “edge computing.” By providing devices and gateways with intelligence, processing can be performed in the worksite, closer to end users. Clouds and edges (sites) are linked and optimization is achieved while performing autonomous, distributed processing. This makes it possible to perform high-speed processing of IoT data using appropriate devices and at appropriate locations, while minimizing communications delays and the loads placed on clouds. Performing on-site processing of data requiring real-time processing and cloud processing of data which is accumulated before processing helps produce more effective data utilization methods and create innovative services. It is believed that the use of edge computing along with cloud computing keeps growing, and 40% of the data now kept on clouds will be migrated to edges by 2020. In the future, edge computing will be expected to make major contributions to automated driving systems and drone-based monitoring systems.
Advanced intelligence and flexible rules
Edge computing is one of the core technologies in Toshiba's SPINEX IoT architecture. Large amounts of data, arranged in chronological order, undergo efficient collaborative distributed processing at the site and in the cloud. Because of the rapid reaction speeds of sites and the advanced analysis in the cloud, edge computing is ideal solution for realizing digital transformation.Toshiba's SmartEDA is a data collection and event processing platform for building using edge computing technology. It is composed of SmartEDA Agents, which autonomously process data in devices and gateways, and SmartEDA Servers, which collect data from clouds, factories, facilities, and the like, and perform device management. Intelligent devices and servers communicate with each other, performing different roles, to reduce the volume of communications between sites and clouds while performing immediate processing of site data (Fig. 1).
One of SmartEDA Agent's major features is its edge intelligence. It possesses various algorithms and determination functions to rapidly detect irregularities in data which arrives every matter of milliseconds, and to issue alerts and perform automatic processing. For example, it performs 3 sigma analysis, using sensor values for a specified time interval as an analysis population and identifying not only deviating values but also gradual changes and degradation trends. Log pattern detection finds out specified patterns in log data. An IF-THEN rule engine issues notifications and performs automatic processing based on edge data values and combinations of values.
Event information detected on the edge is stored in the cloud and is available for analysis. With machine learning, event acquiring accuracy, such as abnormalities, is expected to increase. On the other hand, on the cloud side, multiple events are combined and used in compound data processing. This makes it possible to detect chain reactions and errors caused by interference, as well as signs of these phenomena occurring in the imminent future, and implement proactive control and preventative maintenance.
Another of SmartEDA's features is its convenience. It allows detected events and processing rules obtained via big data analysis in the cloud to configure in-site agents. It does not merely send information to site devices, but is capable of configuring and changing rules tailored to site device configurations. It can manage configuration information, such as what gateway devices are connected to what machine tools, as well as the version numbers of the software in the machine tools, helping to tailor rules to specific devices. Because of this function, edge computing is suitable not only for periodic use in mass production manufacturing lines, but also in small lot, high variety production in which products, components, and materials change dynamically.
Wide-ranging potential of SmartEDA, from maintenance efficiency improvement to use together with location information
SmartEDA not only monitors and detects irregularities in factory device, but also possesses innovative functions for supporting field IoT solutions. In conventional device and equipment maintenance, when outage notifications are received it is common to not know which components need to be replaced until on-site examination completed. The components are then ordered and engineer visited again for its replacement.
SmartEDA's remote access function makes remote maintenance easy, reducing costs and maintenance times. Site gateway devices are logged into via the cloud and device conditions and logs can be checked remotely. This makes it possible to determine components replacement timing in advance.
SmartEDA also provides functions for simply and efficiently organizing and managing applications customers use for individual operations and issues, such as information display functions linked with wide area maps, facility floor maps, and store floor maps.
SmartEDA has potential for use in a wide range of scenarios thanks to its real-time data processing capabilities rooted in edge intelligence and its ability to provide advanced manageability and convenience in mobile form.
Agents can be installed in smartphones and used in place of gateway devices to combine information obtained from sensors with smartphone GPS (Global Positioning System) positioning information and send it to the cloud.
For example, in the distribution field, truck locations, cargo conditions such as temperatures and cargo volumes, and the like can be tracked and used to optimize truck allocation and reduce delivery risks. SmartEDA has been used in pilot tests to assess cooling conditions and shock information for fresh vegetable delivery trucks, analyze and optimize delivery, and identify delivery container locations. By being combined with IF-THEN rule engines, it can automatically perform required processing when necessary, based on sensor conditions and the locations of smartphone users by processing and notification settings configured in advance.
Work is underway for vehicle-mounted gateways, for use in vehicle IoTs using SmartEDA.
We are also considering integration SmartEDA with LPWA (Low Power Wide Area) wireless technology, which is capable of transferring data several kilometers. LPWA enables to acquire information from sensors distributed over a wide area while using extremely little power. IoT use case will be expanding tremendously by LPWA. This will further expand the usage scope of SmartEDA, which performs initial data processing, irregularity detection, and decision-making in site devices and gateway devices.
By realizing digital transformation with edge computing, nothing would make us happier than if SmartEDA were to help to creating richer industries and society.
TOSHIBA DIGITAL SOLUTIONS CORPORATION
Look at SmartEDA, the embodiment of the edge computing positioned as one of the core technologies in SPINEX.
M_C
Founding Member
** - removes mercedes from website....I have said it many times when this place is used for its proper purpose to share thoughts (not anxieties) and research this is as close to insider trading as you will get without breaking the law. Many thanks @stuart888 . You see Americans are nice people too.
However lets look at what Teksun replaced Cisco, Toshiba and Lenaro with:
"BrainChip is a technology company making AI everywhere easier to deploy and scale. It’s neuromorphic processor called, Akida™, is pure digital and is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, making it cost effective and simple to implement. Designed for sustainable AI, Akida™, performs complex functions at the device level, delivering a real-time, instant response.
BrainChip's solutions have applications in various industries, including automotive, smart homes, security and surveillance. The company has partnered with industry leaders such as Arm, Mercedes Benz, and Renesas driving intelligence into next generation devices."
So,
I knew Brainchip had partnered with ARM its on their website.
I DID NOT know that Brainchip had partnered with Renesas to drive intelligence into next generation devices what was announced on the ASX was that Renesas had purchased two nodes of AKIDA IP and more recently that Renesas had taped out its own chip which it would be bringing to market later in 2023. Even Chippy said in his magazine interview that they had purchased what they needed from Brainchip fullstop. No ongoing partnership was implied in any way shape or form.
I MOST CERTAINLY DID NOT KNOW THAT MERCEDES BENZ HAD PARTNERED WITH BRAINCHIP TO DRIVE INTELLIGENCE INTO NEXT GENERATION DEVICES because all I was told by Brainchip was they could not talk about Mercedes Benz other than to say they continued to work with Mercedes Benz and Mercedes Benz had said they were working with artificial intelligence experts Brainchip. Just because you are working with someone it does not mean it is a partnership nor does it signal anything about your future intentions. Brainchip has on its website that they are trusted by Mercedes Benz. I am trust my brother-in-law but I am not in partnership. This is a significant statement of intent.
Given this is a revised statement I think it is reasonable to conclude that both Teksun and Brainchip have agreed on this wording. Indeed Tony Dawe has said Brainchip has approved this new wording. As such I am just as excited if not more so by what it now publicly reveals. The significance in my opinion dictates the conclusion that Teksun had leverage and wanted something of equal or greater significance to replace Cisco, Toshiba and Lenaro with for the purpose of driving their customers interest in a Teksun Brainchip product offerings. In other words if you don't want us to use Cisco, Toshiba and Lenaro what can we use?
I hope that our German investor friends take comfort from the fact that this partnership between Mercedes Benz and Brainchip to drive intelligence into next generation devices has now been publicly confirmed.
My opinion only DYOR
FF
AKIDA BALLISTA
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err....ok . Will this Graphine battery start a 6cyl 280 HP aircraft engine? And run radios & transponder also?
Yak52
M_C
Founding Member
STMicroelectronics on LinkedIn: ST live sessions and conferences @ ew23
embedded world Exhibition&Conference 2023 starts tomorrow! Join ST live sessions and conferences where our experts present our research on artificial…
AusEire
Founding Member. It's ok to say No to Dot Joining
There is no one targeting your account mate.
DingoBorat
Slim
I've received an email from Tony Dawe, who had checked with Rob Telson (italics are Tony and Teksun).Sent an email to Tony, asking if the Company can comment
"Teksun have just updated their website.
BrainChip has approved this statement."
Teksun
"The company has partnered with industry leaders such as Arm, Mercedes Benz, and Renesas driving intelligence into next generation devices."
The "juicy" bits are gone and no further discussion will be entered into
So it is now just conjecture and speculation.
Maybe a hint of what is to come?..
Thanks for the replies Tony
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Steve10
Regular
STMicroelectronics on LinkedIn: ST live sessions and conferences @ ew23
embedded world Exhibition&Conference 2023 starts tomorrow! Join ST live sessions and conferences where our experts present our research on artificial…www.linkedin.com
View attachment 32228
I reckon Akida IP is in STM32. They are on my target list. Same market as Renesas.
Anil wouldn't like them if they were BRN competitors. So must be NDA partners.
A set of tools to enable Edge AI
on STM32 MCU, MPU and smart sensors
Embedded AI can improve many solutions in a simple, fast, and cost-effective way.Predictive maintenance, IoT products, smart buildings, asset tracking, people counting and more.
Learn how these applications can become smarter by making data meaningful with machine learning!
Give your product an Edge
Free SW tools to embed Machine Learning on STM32 MCU and MPU. Edge AI can improve your product in a simple, fast, and cost-effective way.
stm32ai.st.com
Fact Finder
Top 20
Not necessarily Anil Mankar has friends through out the industry. He also knows the uniqueness of his AKIDA technology solution so his likes can be seen as good luck when it does not work I am always at the end of the phone.I reckon Akida IP is in STM32. They are on my target list. Same market as Renesas.
Anil wouldn't like them if they were BRN competitors. So must be NDA partners.
A set of tools to enable Edge AI
on STM32 MCU, MPU and smart sensors
Embedded AI can improve many solutions in a simple, fast, and cost-effective way.
Predictive maintenance, IoT products, smart buildings, asset tracking, people counting and more.
Learn how these applications can become smarter by making data meaningful with machine learning!
Give your product an Edge
Free SW tools to embed Machine Learning on STM32 MCU and MPU. Edge AI can improve your product in a simple, fast, and cost-effective way.
My opinion only DYOR
FF
AKIDA BALLISTA
DingoBorat
Slim
Seems I should check my emails more often
.. The 1000 eyes, don't miss a beat.. Or should that be blink?..
Steve10
Regular
A peek at some of STMicroelectronics' customers & applications.
The STM site is loaded with applications all mentioned by BRN. If not now then definitely in future.
The STM site is loaded with applications all mentioned by BRN. If not now then definitely in future.
Dozzaman1977
Regular
Fact Finder
Top 20
I am not saying you are definitely wrong but Anil Mankar likes are problematic because he is so well known in the industry and respected. He is just a genuine nice person so his likes and interest in others is not always about Brainchip.
My opinion only DYOR
FF
AKIDA BALLISTA
D
Deleted member 118
Guest
Seems I should check my emails more often
The 1000 eyes, don't miss a beat.. Or should that be blink?..
Easytiger
Regular
We all know what it means.
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