BRN Discussion Ongoing

wilzy123

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Mt09

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Moonshot

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Tothemoon24

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Problem is @Tothemoon24 the road conditions are changing constantly................ so how much compute will be needed to keep up?
Tesla"s vision approach is imo far better, ...................... plus, how many cars does MB have on the roads collecting data?
Whilst i"d love Akida to be incorporated in those hundreds of intelligent sensors per car, i think MB are just "geo-fencing" like Cruise & Waymo.

Love your work here @Tothemoon24 , ..............you provide so much to the forum.

AKIDO BALLISTO
Hi @mrgds cheers mate
It’s a good sounding spin from Mercedes that keeps their audience entertained. ( including me)
The mention of sensors & Mercedes fills the heart with hope .
If I’m honest Mercedes Benz give me the shits , I think that’s partly due to me being a rookie & not selling down a greater amount when they pumped our tyres to only leave us with a slow leak .

That said when the time finally arrives my guess work tells me Merc will put on a huge amount of fan fair about “Akida Neuromorphic”
 
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Foxdog

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Let's be honest... there are probably bigger issues at play if it has gone that far and whinging on a forum is probably one of the last options I would recommend in that case. lol 🤣🤡🤣🤡🤣🤡🤣

I bet you pull the cord on this toy to work out what to post each day

View attachment 42621
Ha, if it lands on the turkey I'll be sure to let you know 👍
 
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wilzy123

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Ha, if it lands on the turkey I'll be sure to let you know 👍

200w (1).gif



Must land on that a lot based on your post history
 
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Dallas

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1000 Billion ❗🙏
 
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cosors

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And FF has commented on the find for us.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-263475
Back then, there were still many pages of posts to read in one day. Thanks for the reminder!

"…is a Seattle-area startup founded in 2019 by industry veterans in ultra high-speed wireless, imaging radar, and broadband communications. Matching advance technology with the needs of security IoT applications, the team is committed to providing integrated solutions that improve the safety of all forms of society, including fans, travelers, voters, students, peace officers, worshipers and soldiers, to name a few. The company is in stealth mode and only discloses information about its development progress under NDA through this stage. Stay tuned in the future for more to come."
https://www.lassenpeak.com/company/
 
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TopCat

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1000 Billion ❗🙏

In any case, Softbank founder Masayoshi Son, who currently sees ARM as his key investment, sees great growth potential. Because the British designs are also spreading in chips for artificial intelligence (AI) applications, one of the boom sectors in the industry. So Son promised his investors this year that sales of ARM chips could increase from around 30 billion at the moment to 1000 billion per year.

According to Pitchbook analyst Stanford, the Japanese would benefit twice from the IPO. Softbank recently suffered heavy losses on its first and self-financed second Vision Fund because tech stocks collapsed last year.

This had also fueled criticism of Son's bet on artificial intelligence. "A strong performance by ARM would not only be a great win for Softbank, but would also underpin the company's AI strategy," says Stanford, "because it would show that the hype about AI has not abated."
 
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cosors

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Maybe in the next 4 months we will confirm this is akida?
  • When will the product be available?
    At the present time, we are planning to announce general availability in late 2023. We’re making sure we get this right from all aspects (product performance and features, privacy and civil rights issues, legal opinions, etc).
View attachment 42565
View attachment 42566
  • What is the product?
    One of the initial products in Lassen Peak’s offering will be the world’s very first fully-integrated handheld radar system for concealed weapon detection. It will be a small, safe and easy-to-use handheld device that will offer an alternative to the traditional, and dangerous, hands-on weapon pat-down.

    https://www.lassenpeak.com/company/faqs/
How does the technology work?
The Lassen Peak system will use radio waves that safely and rapidly scan the individual’s entire body repeatedly. The harmless radio waves will reflect off concealed objects on the body, creating a virtual image of the object that the system’s artificial intelligence (AI) will use to identify potential weapons. The technology is safe and already proven through walk-through imaging scanners in airports that employ similar technology.

What is the battery life?
Battery life will be engineered to support operation for a minimum of 12 hours on a fully-charged and healthy battery. This will vary however, depending on the use of the device (number of scans, active screen time, etc).

How will AI be used in the product?
AI will be used in the product to analyze the radar image and look for anomalies – things that do not appear to be part of the human body. Then, the AI will look at those objects in an attempt to assess the level of threat the object poses – what is the relative size of the object, what material does it appear to be, where is it on the person’s body, and what characteristics does the object have (sharp point, trigger, etc). The AI will essentially work much like our own human brains work as we look at things and classify them. Many different attributes are examined for every object, and AI improves over time as it “sees” more image data.
https://www.lassenpeak.com/company/faqs/

Real NC ML at the edge. Can hardly wait!
 
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cosors

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If they are in stealth mode should we even be chatting about the (supposed) secret sauce here? 🤔 😅😶‍🌫️
 
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Getupthere

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Xperi Develops World-first In-cabin Monitoring Technologies on Neuromorphic Vision Systems​

April 21, 2021
Download PDFPDF Format (opens in new window)
New sensing technologies complement standard vision system capabilities, enhancing occupant safety, enabling increased personalization, advancing today's in-cabin experience to tomorrow’s third space experience
CALABASAS, Calif.--(BUSINESS WIRE)-- DTS®, a global leader in next-generation audio, imaging and sensing technology, and a wholly owned subsidiary of Xperi Holding Corporation (NASDAQ: XPER) (“Xperi”), today announced a world-first neuromorphic driver monitoring solution (DMS), powered by Prophesee Metavision® - Event-Based Vision sensor.
Using the raw feed from the Metavision® - Event-Based Vision sensor, the DTS AutoSense* team developed driver-centric monitoring features such as gaze tracking, head pose, identification, and eyelid opening.
With more than 20 years of world-leading experience in neural solutions and computer vision, and with billions of products powered by their solutions, the Xperi team maps and adapts in-cabin monitoring (ICM) technologies to existing and future sensor centric trends.
“Intelligent sensing is required by the next-generation in-cabin experience. The critical path to this is a sensor fusion-focused advanced research strategy,” said Petronel Bigioi, chief technology officer, Xperi. “DTS AutoSense’s advanced research team is centered on state-of-the-art sensing solutions and neuromorphic sensing is one of the technologies that can shape the future of the industry.”
The neuromorphic sensors capture information at an equivalent frame rate of 10,000 frames per second without requiring active illumination. This enables better low light performance for driver monitoring features as well as never-before-seen capabilities such as saccadic eye movement or micro-expressions, crucial next steps in the next-generation in-cabin experiences.
Xperi relies on an end-to-end data generation and training system built to address the particular needs of the sensor. The training data set was generated based on Xperi’s extensive computer vision infrastructure, reusing ground-truth from the visible and near infrared spectrums, synthesizing a completely novel approach in neuromorphic based sensing.
“Being able to instantaneously detect the subtlest, almost imperceptible, face and eye motions can be lifesaving,” said Petronel Bigioi. “The low light powerful vision processing capabilities, fast response times and low power operation that this pioneering neuromorphic-based technology application enables makes it ideal for the safety-critical applications of driver monitoring systems, while also broadening the ability to further enhance and personalize the vehicle cabin.”
In addition to excellent low light performance and robustness to various illumination conditions, neuromorphic sensing directly addresses the privacy aspect specific to traditional imaging-based sensing (always-on cameras).
“DTS AutoSense’s innovative AI-enabled approach underscores the ability of Prophesee’s sensor solution to provide OEMs with an effective safety enhancement for vehicles of all types,” said Marc Rousseau, VP Products and Business Development at Prophesee. “We are delighted to collaborate on this first-of-its-kind technology with Xperi and its forward-thinking, high caliber team.”
*DTS AutoSense comprises a Driver Monitoring Solution (DMS) and an Occupancy Monitoring Solution (OMS), the first to be designed into passenger vehicles projected to be on the road in 2021. Working together they provide actionable insights into activity inside the vehicle, including the driver, passengers, pets and objects, to create a better, safer experience.
 
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wilzy123

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Xperi Develops World-first In-cabin Monitoring Technologies on Neuromorphic Vision Systems​

April 21, 2021
Download PDFPDF Format (opens in new window)
New sensing technologies complement standard vision system capabilities, enhancing occupant safety, enabling increased personalization, advancing today's in-cabin experience to tomorrow’s third space experience
CALABASAS, Calif.--(BUSINESS WIRE)-- DTS®, a global leader in next-generation audio, imaging and sensing technology, and a wholly owned subsidiary of Xperi Holding Corporation (NASDAQ: XPER) (“Xperi”), today announced a world-first neuromorphic driver monitoring solution (DMS), powered by Prophesee Metavision® - Event-Based Vision sensor.
Using the raw feed from the Metavision® - Event-Based Vision sensor, the DTS AutoSense* team developed driver-centric monitoring features such as gaze tracking, head pose, identification, and eyelid opening.
With more than 20 years of world-leading experience in neural solutions and computer vision, and with billions of products powered by their solutions, the Xperi team maps and adapts in-cabin monitoring (ICM) technologies to existing and future sensor centric trends.
“Intelligent sensing is required by the next-generation in-cabin experience. The critical path to this is a sensor fusion-focused advanced research strategy,” said Petronel Bigioi, chief technology officer, Xperi. “DTS AutoSense’s advanced research team is centered on state-of-the-art sensing solutions and neuromorphic sensing is one of the technologies that can shape the future of the industry.”
The neuromorphic sensors capture information at an equivalent frame rate of 10,000 frames per second without requiring active illumination. This enables better low light performance for driver monitoring features as well as never-before-seen capabilities such as saccadic eye movement or micro-expressions, crucial next steps in the next-generation in-cabin experiences.
Xperi relies on an end-to-end data generation and training system built to address the particular needs of the sensor. The training data set was generated based on Xperi’s extensive computer vision infrastructure, reusing ground-truth from the visible and near infrared spectrums, synthesizing a completely novel approach in neuromorphic based sensing.
“Being able to instantaneously detect the subtlest, almost imperceptible, face and eye motions can be lifesaving,” said Petronel Bigioi. “The low light powerful vision processing capabilities, fast response times and low power operation that this pioneering neuromorphic-based technology application enables makes it ideal for the safety-critical applications of driver monitoring systems, while also broadening the ability to further enhance and personalize the vehicle cabin.”
In addition to excellent low light performance and robustness to various illumination conditions, neuromorphic sensing directly addresses the privacy aspect specific to traditional imaging-based sensing (always-on cameras).
“DTS AutoSense’s innovative AI-enabled approach underscores the ability of Prophesee’s sensor solution to provide OEMs with an effective safety enhancement for vehicles of all types,” said Marc Rousseau, VP Products and Business Development at Prophesee. “We are delighted to collaborate on this first-of-its-kind technology with Xperi and its forward-thinking, high caliber team.”
*DTS AutoSense comprises a Driver Monitoring Solution (DMS) and an Occupancy Monitoring Solution (OMS), the first to be designed into passenger vehicles projected to be on the road in 2021. Working together they provide actionable insights into activity inside the vehicle, including the driver, passengers, pets and objects, to create a better, safer experience.


Gotta keep that post narrative ratio in balance 🤡🤣🤡🤣🤡🤣
 
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DK6161

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Perhaps people who buy shares in arm will take interest in companies that they are partnered with.... Leading them to purchase brn.🤷‍♂️
Yeah nah. Long shot there mate. Arm has hundreds of partners
 
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Diogenese

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How does the technology work?
The Lassen Peak system will use radio waves that safely and rapidly scan the individual’s entire body repeatedly. The harmless radio waves will reflect off concealed objects on the body, creating a virtual image of the object that the system’s artificial intelligence (AI) will use to identify potential weapons. The technology is safe and already proven through walk-through imaging scanners in airports that employ similar technology.

What is the battery life?
Battery life will be engineered to support operation for a minimum of 12 hours on a fully-charged and healthy battery. This will vary however, depending on the use of the device (number of scans, active screen time, etc).

How will AI be used in the product?
AI will be used in the product to analyze the radar image and look for anomalies – things that do not appear to be part of the human body. Then, the AI will look at those objects in an attempt to assess the level of threat the object poses – what is the relative size of the object, what material does it appear to be, where is it on the person’s body, and what characteristics does the object have (sharp point, trigger, etc). The AI will essentially work much like our own human brains work as we look at things and classify them. Many different attributes are examined for every object, and AI improves over time as it “sees” more image data.
https://www.lassenpeak.com/company/faqs/

Real NC ML at the edge. Can hardly wait!
If they are in stealth mode should we even be chatting about the (supposed) secret sauce here? 🤔 😅😶‍🌫️
Hi cosors,

Lassen Peek seem to have been babes in the AI wood until they met the big bad Akida.

Here's one of their secret patent applications:

WO2022250862A1 SYSTEMS AND METHODS FOR NONINVASIVE DETECTION OF IMPERMISSIBLE OBJECTS USING DECOUPLED ANALOG AND DIGITAL COMPONENTS

1692702975942.png


A system for scanning targets for concealed objects comprises a set of analog imaging components of a portable radar system with both a ranging resolution and lateral resolution sufficient to detect an object concealed on a person, where the analog imaging components are contained with a first housing and in communication with digital processing components contained in a second housing, where the digital processing components are configured to receive imaging information from the analog components for processing. Each housing is configured to be attached to a user's article of equipment.

[024] In an embodiment, core processing system 102 includes processor 103 and custom logic 104. Processor 103 is configured to process instructions to render or display images, initiate a scan, process the results of a scan, alert the user, and provide the results of an object match, if any, to the user. Processor 103 can be any of a variety and combination of processors, and can be distributed among various types and pieces of hardware found on the apparatus, or can include hardware distributed across a network. Processor 103 can be an ARM (or other RISC-based) processor. Additionally, such processors can be implemented, for example, as hardware modules such as embedded microprocessors, Application Specific Integrated Circuits (“ASICs”), and Programmable Logic Devices, including flash memory (“PLDs). Some such processors can have multiple instruction executing units or cores. Such processors can also be implemented as one or more software modules in programming languages as Java, C++, C, assembly, a hardware description language, or any other suitable programming language. A processor according to some embodiments includes media and program code (which also can be referred to as code) specially designed and constructed for the specific purpose or purposes. Custom logic 104 can include one or more Field Programmable Gate Array(s) (FPGA) or any type of PLD for custom logic to support processing offload from Processor 103. In an embodiment, the term “processing offload” includes digital signal processing and digital beam forming
.

[027] Memory 107 can be used to store, in computer code, artificial intelligence (“AI”) instructions, AI algorithms, a catalog of images, device configuration, an allowable, calculated, or predetermined user workflow, conditions for altering, device status, device and scanning configuration, and other metadata resulting from the scanning process.

[050] At 403, in an embodiment, the super image is analyzed to determine whether any objects of note are present, on the subject, and if so, the super image is normalized for processing. In an embodiment, normalizing the super image means preprocessing it into a format, or with information, appropriate to feed an artificial intelligence system. This preprocessing can include (but is not limited to) scaling to a fixed width and height, conversion of the bit depth, shifting and or rotation of image. The processing can be performed by an artificial intelligence (AI) system
.
 
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Diogenese

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Hi cosors,

Lassen Peek seem to have been babes in the AI wood until they met the big bad Akida.

Here's one of their secret patent applications:

WO2022250862A1 SYSTEMS AND METHODS FOR NONINVASIVE DETECTION OF IMPERMISSIBLE OBJECTS USING DECOUPLED ANALOG AND DIGITAL COMPONENTS

View attachment 42625

A system for scanning targets for concealed objects comprises a set of analog imaging components of a portable radar system with both a ranging resolution and lateral resolution sufficient to detect an object concealed on a person, where the analog imaging components are contained with a first housing and in communication with digital processing components contained in a second housing, where the digital processing components are configured to receive imaging information from the analog components for processing. Each housing is configured to be attached to a user's article of equipment.

[024] In an embodiment, core processing system 102 includes processor 103 and custom logic 104. Processor 103 is configured to process instructions to render or display images, initiate a scan, process the results of a scan, alert the user, and provide the results of an object match, if any, to the user. Processor 103 can be any of a variety and combination of processors, and can be distributed among various types and pieces of hardware found on the apparatus, or can include hardware distributed across a network. Processor 103 can be an ARM (or other RISC-based) processor. Additionally, such processors can be implemented, for example, as hardware modules such as embedded microprocessors, Application Specific Integrated Circuits (“ASICs”), and Programmable Logic Devices, including flash memory (“PLDs). Some such processors can have multiple instruction executing units or cores. Such processors can also be implemented as one or more software modules in programming languages as Java, C++, C, assembly, a hardware description language, or any other suitable programming language. A processor according to some embodiments includes media and program code (which also can be referred to as code) specially designed and constructed for the specific purpose or purposes. Custom logic 104 can include one or more Field Programmable Gate Array(s) (FPGA) or any type of PLD for custom logic to support processing offload from Processor 103. In an embodiment, the term “processing offload” includes digital signal processing and digital beam forming
.

[027] Memory 107 can be used to store, in computer code, artificial intelligence (“AI”) instructions, AI algorithms, a catalog of images, device configuration, an allowable, calculated, or predetermined user workflow, conditions for altering, device status, device and scanning configuration, and other metadata resulting from the scanning process.

[050] At 403, in an embodiment, the super image is analyzed to determine whether any objects of note are present, on the subject, and if so, the super image is normalized for processing. In an embodiment, normalizing the super image means preprocessing it into a format, or with information, appropriate to feed an artificial intelligence system. This preprocessing can include (but is not limited to) scaling to a fixed width and height, conversion of the bit depth, shifting and or rotation of image. The processing can be performed by an artificial intelligence (AI) system
.

ok off topic but...

Something like this?
View attachment 42624
https://goo.gl/maps/g4XoxjV2cvspJmNQ9
Fantastic area. Just not (really) cheap ;)


Germany is certainly much cheaper, especially in the east, where there is still plenty of room. But you have to like it and get involved 🤭
I was once given a wonderful book about an emigrant who moved to the former DDR/GDR after the fall of the wall. A delicious work! Maybe it's also available in English.

"What we don't have, you don't need: stories from the asshole-free zone
by Dieter Moor

"Why of all places do you want to go where everyone is running away from?"
Friends and acquaintances are stunned when Dieter Moor and his wife Sonja reveal that they have sold their house in the Swiss postcard idyll to move to Brandenburg. In the little village of Amerika they want to realise their dream of owning their own farm. Indeed, the new home, the new neighbours and the new life are good for all kinds of unexpected challenges, funny mishaps and bizarre situations. Why Dieter Moor has nevertheless lost his heart to the country and its people - that's what he tells us in this book. A charming and witty declaration of love to a misunderstood region."

View attachment 42628 amazon

View attachment 42627
http://www.sonja-moor-landbau.de/kriterien.html


1692703939242.png


"No - sorry - that should have been to the left ... "
 
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cosors

👀
Hi cosors,

Lassen Peek seem to have been babes in the AI wood until they met the big bad Akida.

Here's one of their secret patent applications:

WO2022250862A1 SYSTEMS AND METHODS FOR NONINVASIVE DETECTION OF IMPERMISSIBLE OBJECTS USING DECOUPLED ANALOG AND DIGITAL COMPONENTS

View attachment 42625

A system for scanning targets for concealed objects comprises a set of analog imaging components of a portable radar system with both a ranging resolution and lateral resolution sufficient to detect an object concealed on a person, where the analog imaging components are contained with a first housing and in communication with digital processing components contained in a second housing, where the digital processing components are configured to receive imaging information from the analog components for processing. Each housing is configured to be attached to a user's article of equipment.

[024] In an embodiment, core processing system 102 includes processor 103 and custom logic 104. Processor 103 is configured to process instructions to render or display images, initiate a scan, process the results of a scan, alert the user, and provide the results of an object match, if any, to the user. Processor 103 can be any of a variety and combination of processors, and can be distributed among various types and pieces of hardware found on the apparatus, or can include hardware distributed across a network. Processor 103 can be an ARM (or other RISC-based) processor. Additionally, such processors can be implemented, for example, as hardware modules such as embedded microprocessors, Application Specific Integrated Circuits (“ASICs”), and Programmable Logic Devices, including flash memory (“PLDs). Some such processors can have multiple instruction executing units or cores. Such processors can also be implemented as one or more software modules in programming languages as Java, C++, C, assembly, a hardware description language, or any other suitable programming language. A processor according to some embodiments includes media and program code (which also can be referred to as code) specially designed and constructed for the specific purpose or purposes. Custom logic 104 can include one or more Field Programmable Gate Array(s) (FPGA) or any type of PLD for custom logic to support processing offload from Processor 103. In an embodiment, the term “processing offload” includes digital signal processing and digital beam forming
.

[027] Memory 107 can be used to store, in computer code, artificial intelligence (“AI”) instructions, AI algorithms, a catalog of images, device configuration, an allowable, calculated, or predetermined user workflow, conditions for altering, device status, device and scanning configuration, and other metadata resulting from the scanning process.

[050] At 403, in an embodiment, the super image is analyzed to determine whether any objects of note are present, on the subject, and if so, the super image is normalized for processing. In an embodiment, normalizing the super image means preprocessing it into a format, or with information, appropriate to feed an artificial intelligence system. This preprocessing can include (but is not limited to) scaling to a fixed width and height, conversion of the bit depth, shifting and or rotation of image. The processing can be performed by an artificial intelligence (AI) system
.
...Processor 103 can be an ARM (or other RISC-based) processor...

The processor is probably needed for the operating system and encrypting the data?

A method comprises scanning a subject with a coherent radar beam from a single chip operating in the terahertz range, and executing instructions, on a processor, to create one or more digital images based said scanning. One or more digital images are combined at the processor to form a super image, and based on the super image, the processor determines whether the subject is carrying a concealed object. If the subject is determined to be carrying a concealed object, and certain alert-generating rules are met, an alert is generated.
https://worldwide.espacenet.com/patent/search/family/079282601/publication/WO2021262379A1?q=pn%3DWO2021262379A1
 
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cosors

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Getupthere

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The Pope

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For those wishing BRN Sean / Anil and WBT CEO’s have at least had discussions then this is a positive sign.
Some here on TSE love a good dot join.
 

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