Does anyone know how many employees we have now all together?.
BRN Discussion Ongoing
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- Start date
David holland
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You don't hire in any organisation unless the workload is present
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I think I failed the entry requirements. It won’t even let me open it on my phone.
FF
Spot on FF with your comments and evaluation, and likewise dippY22, we have to ride these " SAD " waves of emotional trauma to accumulate a little later on.
Not only was your sons question to your good wife a flawless logical one, but in principle an outstanding " lawless " enquiry at that time IMHO as well.
Love all your contributions FF and all of the other marvelous posts from all of the other marvelous posters who keep all investors in this great company we are fortunate to believe in, confident in the outlook and reassured of our eventual success, that is just around the corner with Akida 1 and hopefully 2 corners for Akida 2 >>>>>>>
Akida Ballista >>>>>>>>>> Go Saints - They keep on persevering, just like PVDM and Brainchip do <<<<<<<<
GLTAH ..........
hotty
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I have been going down rabbit holes this morning and had an idea of looking for anything regarding Sean Hehir Brainchip CEO in the last five days. I was struck by the traction the Brainchip Nviso partnership has gained around the World.
Clearly Jerome Nadel has had a hand in this but I think we need to keep a close eye on this partnership as a lot of people are taking notice.
My opinion only DYOR
FF
AKIDA BALLISTA
Clearly Jerome Nadel has had a hand in this but I think we need to keep a close eye on this partnership as a lot of people are taking notice.
My opinion only DYOR
FF
AKIDA BALLISTA
Zedjack33
Regular
A robot dog was introduced to a zoo; the animals didn't like it
A lion, a cheetah and a robot dog enter a zoo...
Funny stuff if nothing else.
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We know Saffron is linked to Brainchip:
Safran Electrical & Power improves efficiency of cable assembly in Airbus A350’s structures
In Customer storyPosted June 15, 2020
How to accelerate and make reliable the assembly of tens of kilometers of cables that run through the fuselage of an airliner such as the Airbus A350 XWB? For Safran Electrical & Power, the answer lies in the implementation of Diota’s solution.
Engaged alongside Airbus in the production of its latest jumbo, Safran Electrical & Power is responsible for the production of 75% of the electrical harnesses that equip the fuselage of the A350 XWB. At its plant in Temara, Morocco, more than 400 people work in the manufacture of these complex wiring that supply all the electrical equipment in the cabin. The volumes are significant: since the delivery of the first harness for the A350 in 2012 the equipment manufacturer has already produced more than 100,000, which must then be assembled accurately within the fuselage of the A350.
Assembling electrical harnesses is a complex operation that leaves no room for chance. The length of the cables is calculated as close to the actual distance provided by the engineering, and each harness must take a precise path along the structural elements of the aircraft. The assembly is traditionally done by hand with the help of a technical plan of the device.
From the paper plan to the digital model
The technician must therefore first identify among the different sections of the fuselage, then identify each of the crossing points before putting his harnesses. The process is all the more tedious as it varies from one aircraft to another, depending on the cabin configuration selected by the end customer. It does not tolerate any error, neither in the connection of the harnesses, nor in the routing of the cables.In this context, Safran wanted to offer its technicians a tool adapted to their needs, capable of improving the efficiency of assembly, but also of allowing each operator to intuitively check the conformity of its assembly. Diota has responded to this dual objective by adapting its Digital-assisted operator solution, articulated around DiotaPlayer, to the operational constraints of harness assembly.
It allows Safran teams to visualize the exact routing of each harness in augmented reality via a tablet. Rather than follow a theoretical route on a plane, the operator can thus constantly compare his editing with the expected expected by the digital model of the aircraft. The tracking system developed by Diota provides the level of reliability needed to accurately determine the path in which a cable must pass and what connections to make. Tracking is effective even in the least well-lit sections.
A solution integrated to a simple tablet
To successfully deploy augmented reality in an environment as constrained as the fuselage of an aircraft, Diota has developed a dedicated device. Equipped with a black and white camera to optimize contrast detection, it is associated with an inertial unit that completes the visual tracking module, allowing to be very precise in large volumes. The set has been integrated in a simple tablet so as not to hinder the movements of the technician and facilitate access to tight spaces. The solution finally shows an accessible interface in order to favor the handling by operators who are not necessarily used to Augmented Reality.The results obtained on the production stages now point to new outlets for the solution developed by Diota, particularly on the maintenance phases
Fact Finder
Top 20
We know Saffron is linked to Brainchip:
Safran Electrical & Power improves efficiency of cable assembly in Airbus A350’s structures
In Customer storyPosted June 15, 2020
How to accelerate and make reliable the assembly of tens of kilometers of cables that run through the fuselage of an airliner such as the Airbus A350 XWB? For Safran Electrical & Power, the answer lies in the implementation of Diota’s solution.
Engaged alongside Airbus in the production of its latest jumbo, Safran Electrical & Power is responsible for the production of 75% of the electrical harnesses that equip the fuselage of the A350 XWB. At its plant in Temara, Morocco, more than 400 people work in the manufacture of these complex wiring that supply all the electrical equipment in the cabin. The volumes are significant: since the delivery of the first harness for the A350 in 2012 the equipment manufacturer has already produced more than 100,000, which must then be assembled accurately within the fuselage of the A350.
Assembling electrical harnesses is a complex operation that leaves no room for chance. The length of the cables is calculated as close to the actual distance provided by the engineering, and each harness must take a precise path along the structural elements of the aircraft. The assembly is traditionally done by hand with the help of a technical plan of the device.
From the paper plan to the digital model
The technician must therefore first identify among the different sections of the fuselage, then identify each of the crossing points before putting his harnesses. The process is all the more tedious as it varies from one aircraft to another, depending on the cabin configuration selected by the end customer. It does not tolerate any error, neither in the connection of the harnesses, nor in the routing of the cables.
In this context, Safran wanted to offer its technicians a tool adapted to their needs, capable of improving the efficiency of assembly, but also of allowing each operator to intuitively check the conformity of its assembly. Diota has responded to this dual objective by adapting its Digital-assisted operator solution, articulated around DiotaPlayer, to the operational constraints of harness assembly.
It allows Safran teams to visualize the exact routing of each harness in augmented reality via a tablet. Rather than follow a theoretical route on a plane, the operator can thus constantly compare his editing with the expected expected by the digital model of the aircraft. The tracking system developed by Diota provides the level of reliability needed to accurately determine the path in which a cable must pass and what connections to make. Tracking is effective even in the least well-lit sections.
A solution integrated to a simple tablet
To successfully deploy augmented reality in an environment as constrained as the fuselage of an aircraft, Diota has developed a dedicated device. Equipped with a black and white camera to optimize contrast detection, it is associated with an inertial unit that completes the visual tracking module, allowing to be very precise in large volumes. The set has been integrated in a simple tablet so as not to hinder the movements of the technician and facilitate access to tight spaces. The solution finally shows an accessible interface in order to favor the handling by operators who are not necessarily used to Augmented Reality.
The results obtained on the production stages now point to new outlets for the solution developed by Diota, particularly on the maintenance phases
Consider the additional features???:
Deep Learning & Augmented Reality
In NewsPosted May 14, 2021
Diota accelerates the deployment of Augmented Reality solutions with the integration of a Deep Learning option allowing an automatic initialization of the tracking model that is more robust to changes in the environment
Initialization of the tracking model is a required step before starting to use augmented reality to display work instructions on the field. Different methods are available to perform this initialization. Standard learning techniques make it possible to set up a reference model proposing rapid and efficient initialization. During the deployment phases though, when systems must be operational in varying conditions, e.g. day, night, natural lighting, artificial lighting, or within numerous workstations with different assembly configurations and changing backgrounds, standard learning procedures must be enriched to take these variations into account.To face these challenges, a novel groundbreaking approach has been integrated in our Diota 4X solution using deep learning technology to ensure easy initialization of tracking and robustness to changing environment.
The Deep Learning option offers an alternative to our standard learning approach offering even more flexibility during deployment of use cases in factories. Indeed, the Deep Learning approach allows to create a learning base from a small volume of data using few video recordings in combination with the digital mockup to offer a generic initialization method that adapts to a broad variety of variations. Thus, the customer is spending significantly less time during initialization and therefore saves time on deployments while having flexibility in the choice of workstations.
Deep learning option is also particularly relevant if you already have implemented our solution and you want to quickly replicate and deploy the same use case on another industrial site with a different work environment
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Hi @Diogenese.Consider the additional features???:
Deep Learning & Augmented Reality
In NewsPosted May 14, 2021
Diota accelerates the deployment of Augmented Reality solutions with the integration of a Deep Learning option allowing an automatic initialization of the tracking model that is more robust to changes in the environment
Initialization of the tracking model is a required step before starting to use augmented reality to display work instructions on the field. Different methods are available to perform this initialization. Standard learning techniques make it possible to set up a reference model proposing rapid and efficient initialization. During the deployment phases though, when systems must be operational in varying conditions, e.g. day, night, natural lighting, artificial lighting, or within numerous workstations with different assembly configurations and changing backgrounds, standard learning procedures must be enriched to take these variations into account.
To face these challenges, a novel groundbreaking approach has been integrated in our Diota 4X solution using deep learning technology to ensure easy initialization of tracking and robustness to changing environment.
The Deep Learning option offers an alternative to our standard learning approach offering even more flexibility during deployment of use cases in factories. Indeed, the Deep Learning approach allows to create a learning base from a small volume of data using few video recordings in combination with the digital mockup to offer a generic initialization method that adapts to a broad variety of variations. Thus, the customer is spending significantly less time during initialization and therefore saves time on deployments while having flexibility in the choice of workstations.
Deep learning option is also particularly relevant if you already have implemented our solution and you want to quickly replicate and deploy the same use case on another industrial site with a different work environment
We need your patent research skills to see how they achieve this on device training from a few videos.
Many thanks in advance.
My opinion only DYOR
FF
AKIDA BALLISTA
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To celebrate the French election result which means continued support for Ukraine I just had to translate and post a French article:
Home > Software > Platform
BrainChip and the Swiss nViso team up around human behavioural analysis in the automotive industry
Posted on 22-04-2022 by Pierrick Arlot
Platform
BrainChip, which developed a neuromorphic processor for network edge (edge) under the name Akida, has engaged in a collaboration with the Swiss firm nViso, which specialises in human behavioural analysis reinforced by artificial intelligence (AI). This partnership, which focusses on battery-powered equipment in the automotive, new mobility and robotics markets, aims to meet the needs of applications that require high AI performance while relying on ultra-low-energy technologies.
The two partners will initially focus on the implementation of nViso AI solutions for social robots and automotive cabin monitoring systems on Akida processors.
Created in 2009 and based in the innovation park of the École Polytechnique fédérale de Lausanne (EPFL), nViso says it provides robust embedded software solutions capable of detecting and understanding human behaviour (facial expressions, emotions, head positions, looks, gestures, etc.), and generating actions accordingly, in real environments deployed on the edge of a distant network (deep edge).
These solutions are based on real-time perception and observation of people and objects in contextual situations, which are combined with semantics of human behaviour based on proven scientific research. With the objective of helping autonomous machines understand human behaviour and reasoning so that they are safe, secure and adapted to people in their environment.
In this context, BrainChip brings with its Akida processors capabilities to process artificial intelligence (AI) and machine learning (ML) algorithms locally with levels of performance and consumption that other approaches cannot achieve (read our articles here and here).
"NViso's AI-enhanced human behaviour analysis systems offer fascinating possibilities in homes, cars, buildings, hospitals, and we will support these functions with the performance and energy efficiency of our chips," says Sean Hehir, CEO of BrainChip. It is not only a collaboration between two companies, it is about advancing the state of the art in the field of AI with platforms for edge equipment capable of interpreting human behaviour, in order to improve product performance and user experience. ”
You can also follow our news on L'Embarqué's LinkedIN showcase dedicated to artificial intelligence in embedded: Embedded-IA
Home > Software > Platform
BrainChip and the Swiss nViso team up around human behavioural analysis in the automotive industry
Posted on 22-04-2022 by Pierrick Arlot
Platform
BrainChip, which developed a neuromorphic processor for network edge (edge) under the name Akida, has engaged in a collaboration with the Swiss firm nViso, which specialises in human behavioural analysis reinforced by artificial intelligence (AI). This partnership, which focusses on battery-powered equipment in the automotive, new mobility and robotics markets, aims to meet the needs of applications that require high AI performance while relying on ultra-low-energy technologies.
The two partners will initially focus on the implementation of nViso AI solutions for social robots and automotive cabin monitoring systems on Akida processors.
Created in 2009 and based in the innovation park of the École Polytechnique fédérale de Lausanne (EPFL), nViso says it provides robust embedded software solutions capable of detecting and understanding human behaviour (facial expressions, emotions, head positions, looks, gestures, etc.), and generating actions accordingly, in real environments deployed on the edge of a distant network (deep edge).
These solutions are based on real-time perception and observation of people and objects in contextual situations, which are combined with semantics of human behaviour based on proven scientific research. With the objective of helping autonomous machines understand human behaviour and reasoning so that they are safe, secure and adapted to people in their environment.
In this context, BrainChip brings with its Akida processors capabilities to process artificial intelligence (AI) and machine learning (ML) algorithms locally with levels of performance and consumption that other approaches cannot achieve (read our articles here and here).
"NViso's AI-enhanced human behaviour analysis systems offer fascinating possibilities in homes, cars, buildings, hospitals, and we will support these functions with the performance and energy efficiency of our chips," says Sean Hehir, CEO of BrainChip. It is not only a collaboration between two companies, it is about advancing the state of the art in the field of AI with platforms for edge equipment capable of interpreting human behaviour, in order to improve product performance and user experience. ”
You can also follow our news on L'Embarqué's LinkedIN showcase dedicated to artificial intelligence in embedded: Embedded-IA
Bravo
If ARM was an arm, BRN would be its biceps💪!
Who is BrainChip's customer(s) - Mercedes, LG, Cerence or all of them????...
This morning I've been delving into LG's newest premium in-vehicle infotainment (IVI) system. Back in 2020 Cerence signed a memorandum of understanding with LG Electronics LG to develop software that integrates the infotainment system with Cerence’s AI Reference Kit (ARK).
Here's an excerpt from an article about the memorandum which talks about their aim to offer "a wider range of AI-powered experiences for both manufacturers and auto customers".
Extract Only
The companies say they aim to create and advance a more convenient in-car experience through voice commands, allowing drivers and passengers to have far more control over car functions, navigation and multimedia content.
The partnership is designed to deliver more efficient management of resources to integrate Cerence ARK with webOS Auto, giving OEMs and tier-one manufacturers a pre-packaged, full-stack IVI software system that will shorten the time to market, bring an immersive voice experience and rich content ecosystem to connected cars and improve the user experience inside the vehicle.
“We look forward to this collaboration with Cerence to develop a turnkey voice solution for today’s auto and component makers to accelerate the arrival of the connected car,” said IP Park, president and CTO of LG Electronics. “We will continue to evolve webOS Auto by offering a wider range of AI-powered experiences for both manufacturers and auto customers.”
At the Mercedes EQXX reveal, Mercedes chief technology officer Markus Schäfer noted that the concept was a running and driving protoype, which uses "a version of the existing MBUX infotainment system". I'm going to assume that Markus is referring to a version meaning the one now being powered by AKIDA.
So, wouldn't Mercedes need to get permission from LG/Cerence to embed AKIDA in the existing infotainment system, or would it be more likley that LG and Cerence were customers already?
www.computerweekly.com
www.autocar.co.uk
This morning I've been delving into LG's newest premium in-vehicle infotainment (IVI) system. Back in 2020 Cerence signed a memorandum of understanding with LG Electronics LG to develop software that integrates the infotainment system with Cerence’s AI Reference Kit (ARK).
Here's an excerpt from an article about the memorandum which talks about their aim to offer "a wider range of AI-powered experiences for both manufacturers and auto customers".
Extract Only
The companies say they aim to create and advance a more convenient in-car experience through voice commands, allowing drivers and passengers to have far more control over car functions, navigation and multimedia content.
The partnership is designed to deliver more efficient management of resources to integrate Cerence ARK with webOS Auto, giving OEMs and tier-one manufacturers a pre-packaged, full-stack IVI software system that will shorten the time to market, bring an immersive voice experience and rich content ecosystem to connected cars and improve the user experience inside the vehicle.
“We look forward to this collaboration with Cerence to develop a turnkey voice solution for today’s auto and component makers to accelerate the arrival of the connected car,” said IP Park, president and CTO of LG Electronics. “We will continue to evolve webOS Auto by offering a wider range of AI-powered experiences for both manufacturers and auto customers.”
At the Mercedes EQXX reveal, Mercedes chief technology officer Markus Schäfer noted that the concept was a running and driving protoype, which uses "a version of the existing MBUX infotainment system". I'm going to assume that Markus is referring to a version meaning the one now being powered by AKIDA.
So, wouldn't Mercedes need to get permission from LG/Cerence to embed AKIDA in the existing infotainment system, or would it be more likley that LG and Cerence were customers already?
Cerence, LG drive into AI-powered connected car platform | Computer Weekly
Artificial intelligence will enhance in-car experiences through voice commands to allow drivers and passengers to have far more control over car functions.
Mercedes-Benz EQXX: radical EV's tech confirmed for production | Autocar
Technology from 620-mile saloon concept will feature on production cars, Mercedes has confirmed
Last edited:
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I think these guys are on to something here. Someone needs to step up with a solution ideally it will be ultra low powered at least 5 to 10 times so and capable of functioning regardless of any connection issues. Would also be cool if it could learn new classes at the edge:
3 min read
Modern monitoring solutions provide visibility into the business of complex, advanced applications and help employees make data-driven decisions when investigating latency issues.
The application performance requirements are quite strict these days. However, the challenging expectations of service level for web and mobile apps seem odd when it comes to performance constraints imposed by high-end apps. This is the reason why companies need modern monitoring solutions to better understand and eliminate performance issues in such applications.
Let’s put the issue into perspective. The expectations of today’s employees, customers and other users are very demanding. They have no tolerance for delays. 40 percent of users will abandon a website that takes more than three seconds to load. And 53 percent of users will abandon a mobile app that fails to load in three seconds.
Related: Architecting Memory Pools For HPC And AI Applications Using CXL
When it comes to the rim, the tolerances are tighter. IoT devices and applications typically require latency rates of no more than 50ms and sometimes as high as 10ms.
Even worse, the consequences could be more serious if edge application causes a slight degradation in performance.
Take a common stand. The online user is about to make a purchase, but when they go to pay, the transaction is suspended. The problem may be that the third-party payment processing gateway is working poorly. If the customer gets frustrated, they will abandon the purchase. The company may lose not only that sale, but if a customer finds the same item on another site, they may lose their business forever.
Related: Emoji quiz challenges players to name romantic films
This has a huge impact on a poorly performing application. But the problem may be life-threatening if a delay occurs in one of the high-end applications. Just imagine if the pedestrian detection system of a self-driving car had a malfunction.
See also: Customer impatience leads to application performance requirements
There are several ways to reduce latency. One of the most important things is to properly design an edge app. For example, one could use a hub-and-spoke model with latency-sensitive components at the edge.
Related: Google's Phone app might pick up some cues from Android 12's lock screen
Another thing is to gain insight into the correctness of applying the tip. However, with the complexity of distributed applications, it can be difficult to access real-time telemetry. This can hinder troubleshooting and slow root cause analysis.
What we need is a modern observation solution that provides insight into the workings of complex edge applications. Such a solution can help employees make data-driven decisions and reduce the time required to investigate operational issues.
Edge Applications Bring New App Performance Challenges
by TutsHost3 min read
Modern monitoring solutions provide visibility into the business of complex, advanced applications and help employees make data-driven decisions when investigating latency issues.
The application performance requirements are quite strict these days. However, the challenging expectations of service level for web and mobile apps seem odd when it comes to performance constraints imposed by high-end apps. This is the reason why companies need modern monitoring solutions to better understand and eliminate performance issues in such applications.
Let’s put the issue into perspective. The expectations of today’s employees, customers and other users are very demanding. They have no tolerance for delays. 40 percent of users will abandon a website that takes more than three seconds to load. And 53 percent of users will abandon a mobile app that fails to load in three seconds.
Related: Architecting Memory Pools For HPC And AI Applications Using CXL
When it comes to the rim, the tolerances are tighter. IoT devices and applications typically require latency rates of no more than 50ms and sometimes as high as 10ms.
Even worse, the consequences could be more serious if edge application causes a slight degradation in performance.
Take a common stand. The online user is about to make a purchase, but when they go to pay, the transaction is suspended. The problem may be that the third-party payment processing gateway is working poorly. If the customer gets frustrated, they will abandon the purchase. The company may lose not only that sale, but if a customer finds the same item on another site, they may lose their business forever.
Related: Emoji quiz challenges players to name romantic films
This has a huge impact on a poorly performing application. But the problem may be life-threatening if a delay occurs in one of the high-end applications. Just imagine if the pedestrian detection system of a self-driving car had a malfunction.
See also: Customer impatience leads to application performance requirements
With edge applications, toInattention is the devil
Many new technologies, such as connected vehicles, AR/VR, and industrial automation, are imposing new requirements on latency. Many applications require single-digit millisecond latency. Complicating matters is the fact that data traversing multiple networks between a data center and an edge device can take tens of milliseconds or more.There are several ways to reduce latency. One of the most important things is to properly design an edge app. For example, one could use a hub-and-spoke model with latency-sensitive components at the edge.
Related: Google's Phone app might pick up some cues from Android 12's lock screen
Another thing is to gain insight into the correctness of applying the tip. However, with the complexity of distributed applications, it can be difficult to access real-time telemetry. This can hinder troubleshooting and slow root cause analysis.
What we need is a modern observation solution that provides insight into the workings of complex edge applications. Such a solution can help employees make data-driven decisions and reduce the time required to investigate operational issues.
Bravo
If ARM was an arm, BRN would be its biceps💪!
I think these guys are on to something here. Someone needs to step up with a solution ideally it will be ultra low powered at least 5 to 10 times so and capable of functioning regardless of any connection issues. Would also be cool if it could learn new classes at the edge:
Edge Applications Bring New App Performance Challenges
by TutsHost
3 min read
Modern monitoring solutions provide visibility into the business of complex, advanced applications and help employees make data-driven decisions when investigating latency issues.
The application performance requirements are quite strict these days. However, the challenging expectations of service level for web and mobile apps seem odd when it comes to performance constraints imposed by high-end apps. This is the reason why companies need modern monitoring solutions to better understand and eliminate performance issues in such applications.
Let’s put the issue into perspective. The expectations of today’s employees, customers and other users are very demanding. They have no tolerance for delays. 40 percent of users will abandon a website that takes more than three seconds to load. And 53 percent of users will abandon a mobile app that fails to load in three seconds.
Related: Architecting Memory Pools For HPC And AI Applications Using CXL
When it comes to the rim, the tolerances are tighter. IoT devices and applications typically require latency rates of no more than 50ms and sometimes as high as 10ms.
Even worse, the consequences could be more serious if edge application causes a slight degradation in performance.
Take a common stand. The online user is about to make a purchase, but when they go to pay, the transaction is suspended. The problem may be that the third-party payment processing gateway is working poorly. If the customer gets frustrated, they will abandon the purchase. The company may lose not only that sale, but if a customer finds the same item on another site, they may lose their business forever.
Related: Emoji quiz challenges players to name romantic films
This has a huge impact on a poorly performing application. But the problem may be life-threatening if a delay occurs in one of the high-end applications. Just imagine if the pedestrian detection system of a self-driving car had a malfunction.
See also: Customer impatience leads to application performance requirements
With edge applications, toInattention is the devil
Many new technologies, such as connected vehicles, AR/VR, and industrial automation, are imposing new requirements on latency. Many applications require single-digit millisecond latency. Complicating matters is the fact that data traversing multiple networks between a data center and an edge device can take tens of milliseconds or more.
There are several ways to reduce latency. One of the most important things is to properly design an edge app. For example, one could use a hub-and-spoke model with latency-sensitive components at the edge.
Related: Google's Phone app might pick up some cues from Android 12's lock screen
Another thing is to gain insight into the correctness of applying the tip. However, with the complexity of distributed applications, it can be difficult to access real-time telemetry. This can hinder troubleshooting and slow root cause analysis.
What we need is a modern observation solution that provides insight into the workings of complex edge applications. Such a solution can help employees make data-driven decisions and reduce the time required to investigate operational issues.
Hi FF,
I just got stuck at the part where it said "toInattention".
Taproot
Regular
Yes,
We know Saffron is linked to Brainchip:
Safran Electrical & Power improves efficiency of cable assembly in Airbus A350’s structures
In Customer storyPosted June 15, 2020
How to accelerate and make reliable the assembly of tens of kilometers of cables that run through the fuselage of an airliner such as the Airbus A350 XWB? For Safran Electrical & Power, the answer lies in the implementation of Diota’s solution.
Engaged alongside Airbus in the production of its latest jumbo, Safran Electrical & Power is responsible for the production of 75% of the electrical harnesses that equip the fuselage of the A350 XWB. At its plant in Temara, Morocco, more than 400 people work in the manufacture of these complex wiring that supply all the electrical equipment in the cabin. The volumes are significant: since the delivery of the first harness for the A350 in 2012 the equipment manufacturer has already produced more than 100,000, which must then be assembled accurately within the fuselage of the A350.
Assembling electrical harnesses is a complex operation that leaves no room for chance. The length of the cables is calculated as close to the actual distance provided by the engineering, and each harness must take a precise path along the structural elements of the aircraft. The assembly is traditionally done by hand with the help of a technical plan of the device.
From the paper plan to the digital model
The technician must therefore first identify among the different sections of the fuselage, then identify each of the crossing points before putting his harnesses. The process is all the more tedious as it varies from one aircraft to another, depending on the cabin configuration selected by the end customer. It does not tolerate any error, neither in the connection of the harnesses, nor in the routing of the cables.
In this context, Safran wanted to offer its technicians a tool adapted to their needs, capable of improving the efficiency of assembly, but also of allowing each operator to intuitively check the conformity of its assembly. Diota has responded to this dual objective by adapting its Digital-assisted operator solution, articulated around DiotaPlayer, to the operational constraints of harness assembly.
It allows Safran teams to visualize the exact routing of each harness in augmented reality via a tablet. Rather than follow a theoretical route on a plane, the operator can thus constantly compare his editing with the expected expected by the digital model of the aircraft. The tracking system developed by Diota provides the level of reliability needed to accurately determine the path in which a cable must pass and what connections to make. Tracking is effective even in the least well-lit sections.
A solution integrated to a simple tablet
To successfully deploy augmented reality in an environment as constrained as the fuselage of an aircraft, Diota has developed a dedicated device. Equipped with a black and white camera to optimize contrast detection, it is associated with an inertial unit that completes the visual tracking module, allowing to be very precise in large volumes. The set has been integrated in a simple tablet so as not to hinder the movements of the technician and facilitate access to tight spaces. The solution finally shows an accessible interface in order to favor the handling by operators who are not necessarily used to Augmented Reality.
The results obtained on the production stages now point to new outlets for the solution developed by Diota, particularly on the maintenance phases
I have noticed that the Safran + Diota relationship continues to evolve, but everything is very quiet as far as Brainchip is concerned ?
From 2017
It was developed by the Diota company in Massy-Palaiseau, in which Safran Corporate Ventures took a stake in 2016. The system also uses an image processing application to check that the cable is correctly plugged in, produced by Spikenet Technology (BrainChip) in Toulouse.“We want to validate the system by the summer to deploy an industrial solution in 2018 on all the wiring sites that make complicated plug-ins ,” says Valentin Safir.
A Villemur-sur-Tarn, Safran digitalise le câblage
Réalité augmentée, table numérique, robot : le groupe teste des procédés digitaux dans son usine pilote.
www.lesechos.fr
Safran as a customer is an absolute octopus for Brainchip. Just wish there was something a little more concrete to chew on.
Any current supporting linkages between Diota and Brainchip would do the trick, given Safran have a financial interest etc.
Fact Finder
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I wait patiently for @Diogenese to emerge from the barrel on the mount to hand down his patent wisdom to the assembled masses.Yes,
I have noticed that the Safran + Diota relationship continues to evolve, but everything is very quiet as far as Brainchip is concerned ?
From 2017
It was developed by the Diota company in Massy-Palaiseau, in which Safran Corporate Ventures took a stake in 2016. The system also uses an image processing application to check that the cable is correctly plugged in, produced by Spikenet Technology (BrainChip) in Toulouse.“We want to validate the system by the summer to deploy an industrial solution in 2018 on all the wiring sites that make complicated plug-ins ,” says Valentin Safir.
A Villemur-sur-Tarn, Safran digitalise le câblage
Réalité augmentée, table numérique, robot : le groupe teste des procédés digitaux dans son usine pilote.
Safran as a customer is an absolute octopus for Brainchip. Just wish there was something a little more concrete to chew on.
Any current supporting linkages between Diota and Brainchip would do the trick, given Safran have a financial interest etc.
@Diogenese is the one true hope.
FF
AKIDA BALLISTA
thelittleshort
Top Bloke
Fact Finder
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Veritone to add BrainChip to aiWARE artificial intelligence platform
BrainChip Holdings (ASX: BRN) has inked a deal to integrate its AI-powered BrainChip Studio with NASDAQ-listed Veritone’s aiWARE platform.
Veritone Launches Veriverse, a Portfolio of Integrated AI Solutions for Content IP Owners and Individuals Leveraging the Metaverse, NFTs and Blockchain
AI/MLANALYTICS
By Business Wire On Apr 19, 2022
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Veriverse to empower customers, rights holders and influencers with the ability to leverage metaverse-ready solutions to create new revenue channels at scale
Veritone, Inc., creator of aiWARE™, a hyper-expansive enterprise AI platform, today announced the launch of a series of proven AI solutions to open up new distribution, commerce, and revenue opportunities for today’s content IP owners and individuals across multiple digital communities, including the metaverse. Veriverse™ offers a path forward in both traditional media channels and immersive environments to securely create and activate synthetic media, protect and manage identity and assets, maintain brand continuity across channels and safely create and sell NFTs.Marketing Technology News: Why Some Small Businesses Don’t Use Websites
Citi is the latest banking giant to call the metaverse and Web3 a multi-trillion dollar opportunity. In its March 2022 report, “Metaverse and Money: Decrypting the Future,” Citi said the metaverse economy could be an $8 to $13 trillion total addressable market by 2030. In research published in December 2021, Goldman Sachs put a $12.5 trillion number on the space, in a bullish outlook that assumed one-third of the digital economy shifts into virtual worlds and then expands by 25 percent. Furthermore, a Gartner® report states, “the metaverse will provide economic opportunities using new kinds of digital business assets and value exchange models. Executive leaders should augment their digital transformation strategy by exploring virtual world product development, brand placement, customer engagement, and financial flows.” (Gartner, “How to Increase Customer Engagement and Drive Revenue in the Metaverse”, David Furlonger, Christophe Uzureau, Rajesh Kandaswamy, Feb 8, 2022).
With specific solutions that operate in traditional channels and the metaverse, Veriverse includes:
- Veritone Voice
- Veritone Avatar
- Veritone NFT
- Veritone Verify
- Veritone Metaverse Migration Services
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Veritone Voice™ is an AI-enabled custom synthetic voice cloning solution that allows users to securely and ethically create and monetize synthetic voices in real or digitally immersive worlds by acquiring the necessary training data to create a custom voice that can be transformed into different languages, dialects, accents, genders and more.
“Veritone Voice will streamline the way we work with talent in film and TV production, while still creating authentic experiences for audiences,” said Amani Martin, Emmy award-winning director and producer and Managing Partner of Vin Scully Digital.
With Veritone Avatar™, users can create avatars for a broad range of use cases, including advertising, recruiting, patient care, eLearning and customer service.
“What audiences crave in these metaverse experiences is, ironically, human connection,” says Beau Romero, YouTube Influencer, Us Always member. “Bringing such realistic and lifelike avatars to immersive experiences is something I am very passionate about for the next evolution of my brand.”
Veritone NFT™ is a smart contract-enabled NFT minting and marketplace solution for audio, images, and video, including a proprietary minting service exclusive for Veritone clients. The Veritone NFT Marketplace enables approved users to create, buy and sell NFTs.
Veritone Verify™ is a powerful digital security system that provides content owners a way to manage and protect their identity and IP in both traditional channels and digitally immersive worlds. The solution also enables brand continuity and ensures their assets will be licensed and monetized within a centralized ecosystem.
“Individuals who create and own media have a critical need for cohesive solutions that combine content management, IP protection and monetization across real and digital immersive worlds,” Brett Kollmann, YouTube Influencer, Creator and Host of The Film Room. “I’m most excited about ensuring brand continuity while protecting my identity and assets as we create and share content in different ways, including in the metaverse.”
With Veritone Metaverse Migration Services, our industry experts guide companies of all sizes to assess their readiness, map a plan to enter the metaverse, ensure proper licensing of owned content in a metaverse world, establish activation for virtual shopping experiences, VIP events, exclusive engagements, product promotions, or new digital NFTs, and test and scale their migration.
“We are active users of the Veritone Digital Media Hub solution to manage our deep bench of 80+ years of video assets on and off the field,” said Paul Hodges, VP of content and entertainment, San Francisco Giants Productions. “When we partnered with Veritone back in 2020, we liked that the AI solution was future-proofed by being cloud and model agnostic. Today, we are seeing a path forward to engaging our fans in the metaverse because of our legacy investment and partnership with Veritone.”
Some interesting language used that raises a possibility of a continuing relationship.
My opinion and speculation only so DYOR
FF
AKIDA BALLISTA
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