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Rach2512

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Rach2512

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Frangipani

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Earlier today, NVIDIA published a blog post on 6G research conducted by European telecommunications institutions using NVIDIA platforms, tools and libraries. It contains a reference to Fraunhofer HHI’s “groundbreaking research on neuromorphic wireless cognition for robotic control” and might make some readers in the 6G industry curious about the Berlin researchers’ proof-of-concept (PoC) implementation, which they demonstrated with the help of a Spot robot dog.*

“In Germany, Fraunhofer HHI is conducting groundbreaking research on neuromorphic wireless cognition for robotic control using the NVIDIA AI Aerial suite of accelerated computing platforms and software for designing, simulating and operating wireless networks.

The research involves an event-based camera that senses and captures robotic movements, and forwards the information to a neuromorphic processor. Then, neural network models are used for decoding and gesture recognition to boost transmission over the base station, enhancing the quality of the connection.”


For those to whom this doesn’t ring a bell:
Thanks to a Fraunhofer HHI video** uploaded to YouTube in May 2024, we were able to find out that researchers from their Wireless Communications and Networks Department had used an Akida Raspberry Pi Dev Kit in a “proof-of-concept implementation of neuromorphic wireless cognition with application to human-robot interaction”, although the neuromorphic processor utilised never got publicly identified by the Heinrich-Hertz-Institut researchers.

That “Neuromorphic Wireless Cognition for Connected Intelligence” research was conducted within the 6G Research and Innovation Cluster (6G-RIC) and funded by what was until recently known as the German Federal Ministry of Education and Research (BMBF - Bundesministerium für Bildung und Forschung).***





European Researchers Develop AI-Native Wireless Networks With NVIDIA 6G Research Portfolio​

Over 200 companies and universities in more than 30 European countries are using the NVIDIA 6G research portfolio to achieve breakthroughs in AI-native wireless networks.

June 11, 2025 by Kanika Atri

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Using NVIDIA platforms, tools and libraries, European telecommunications institutions are accelerating efforts to develop 6G — the next generation of cellular technology, with AI woven in from the start.

6G will be an AI-native platform that fosters innovation, enables new services, enhances customer experiences and promotes sustainability. Since the launch of the NVIDIA 6G Developer Program last year, over 200 telecommunications organizations across 30+ European countries have used NVIDIA technologies to accelerate their work.

In the U.K., the Department for Science, Innovation and Technology announced a collaboration with NVIDIA to promote the nation’s goals for AI development in telecom. Leading U.K. universities will gain access to a suite of powerful AI tools, 6G research platforms and training resources — including NVIDIA AI Aerial and Sionna — to bolster research and development on AI-native wireless networks.

“This collaboration between the U.K. government and NVIDIA marks a pivotal step in our ambition to make the U.K. a global leader in the development of advanced connectivity technologies,” said Sir Chris Bryant, minister of state for data protection and telecoms of the U.K.“The use of AI in telecoms will make our networks more intelligent, efficient and reliable, and by equipping our world leading academia and researchers with cutting-edge AI tools and training, we will accelerate innovation that improves the everyday digital experience for people across the country.”

In Finland, the University of Oulu is conducting research for wireless channel estimation with a real-time network digital twin that taps into synthetic lidar data, using the NVIDIA Isaac Sim reference application for robotics simulation.

The project enables advanced development of AI and machine learning features for integrated sensing and communications, or ISAC, a capability that allows the network itself to act as a sensor of the physical world to enhance operations. The project also enables modeling of the 6G access system.

France-based OpenAirInterface (OAI) and NVIDIA are collaborating to advance AI-native wireless networks by integrating OAI’s open-source virtualized and open RAN stack with the GPU-accelerated NVIDIA AI Aerial– and NVIDIA Sionna-based systems. OAI provides the layer 2+ software for Aerial Commercial Testbed and full-stack O-RAN software for Sionna Research Kit, enabling researchers to innovate in 5G and 6G radio access networks using AI and machine learning at every layer.

In Germany, Fraunhofer HHI is conducting groundbreaking research on neuromorphic wireless cognition for robotic control using the NVIDIA AI Aerial suite of accelerated computing platforms and software for designing, simulating and operating wireless networks.

The research involves an event-based camera that senses and captures robotic movements, and forwards the information to a neuromorphic processor. Then, neural network models are used for decoding and gesture recognition to boost transmission over the base station, enhancing the quality of the connection.


Rohde & Schwarz, also based in Germany, is helping set new benchmarks in AI-powered wireless communication research with its latest milestone in neural receiver design and testing.

Showcased in March at Mobile World Congress in Barcelona, Rohde & Schwarz’s innovative proof of concept — developed in collaboration with NVIDIA — integrates advanced digital twin technology and high-fidelity ray tracing to create a robust framework for testing 5G-Advanced and 6G neural receivers under real-world radio environments. Tapping into simulations built with the NVIDIA Sionna library, this initiative paves the way for more efficient, accurate and reliable testing of next-generation receiver architectures.

ETH Zurich and NVIDIA are working on 6G projects related to the performance of AI-native 6G networks. This includes a new machine learning-based architecture, called DUIDD (Deep Unfolded Iterative Detector Decoder), which was developed using NVIDIA Sionna to improve the amount of data a base station can transmit or receive using information learned from its local environment. DUIDD is expected to be implemented on the real-time, over-the-air NVIDIA AI Aerial commercial testbed, dubbed ARC-OTA.

Other projects include a new approach to machine learning-assisted model training, machine learning approaches for positioning mobile devices using channel charting, and device identification based on their radio frequency signature, developed with NVIDIA 6G research tools.

The University of Leeds is developing an agentic architecture for integrating large language models into RAN operations to realize scalable, intelligent orchestration. The research involves creating standardized frameworks for deploying agent-based architectures, establishing key performance indicators for benchmarking performance and building templates for new agents to enhance performance and reduce operational costs.

Europe Key to Developing AI-Native 6G

Europe’s role in wireless networks dates back to the 1987 development of the Global System for Mobile Communications, or GSM, a widely used standard for digital cellular communication.

Today, the European Union continues to drive innovation through substantial governmental support and flagship initiatives such as the Smart Networks and Services Joint Undertaking, 6G SNS and the 6G Flagship project. These programs unite universities, research institutions and industry to create next-generation AI-native networks, pioneering work in AI integration, sustainability and security while educating future industry experts.

Major European telecommunications vendors play a vital role in shaping the vision and standards for 6G through their leadership and participation in major research consortia.

NVIDIA Technologies for AI-Native 6G Research and Development

For these European 6G researchers, the NVIDIA 6G research portfolio provides a three-computer solution for 1) developing and training AI algorithms, 2) simulating them and 3) deploying them into wireless stacks for AI-native 6G.

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NVIDIA AI Aerial tools for AI-native wireless networks research and development, based on the three-computer solution.

The portfolio includes accelerated compute infrastructure, as well as software libraries, including NVIDIA AI Aerial, Sionna and NVIDIA CUDA-X for accelerating workloads. NVIDIA provides the world’s only 6G research portfolio with open-source and source-code offerings, cloud and on-premises options, and full-stack systems or components-level options for researchers to choose the best tool for their mission.

In addition, the NVIDIA Deep Learning Institute provides training on skills essential to 6G development, such as simulating physical environments.
The NVIDIA 6G Developer Program offers early access to advanced tools, technical support and a global community of innovators. So far, more than 2,000 researchers across 85 countries have joined the program, leading to over 190,000 downloads of NVIDIA tools and 350+ citations in technical papers and journals.

Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running June 11-14 at VivaTech, including a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA.

Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech 2025, and explore GTC Paris sessions.

See notice regarding software product information.




*
Relevant paper published on 2 April 2024



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**


***Our new German government recently reorganised and renamed some of the Federal Ministries, and hence the former BMBF is now known as the future-focused (note the word play👇🏻) BMFTR: Bundesministerium für Forschung, Technologie und Raumfahrt - Federal Ministry of Research, Technology and Space, although the www.bmbf.de web domain remains unchanged.



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FJ-215

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Nothing to do with BRN......

But the US Open (golf) is on.

@TECH

Would love to see Ryan Fox climb the leader board!!!

Yes ..... ANZACs Top 3 would be super special. But.................

GO Foxy!!!
 
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Esq.111

Fascinatingly Intuitive.
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Esq.111

Fascinatingly Intuitive.
Morning Pom ,

Scroll down the article & press the play button.

5 min interview , Luckey dose not give much away , though plenty of avenues were WE could certainly get spliced in.

I find his goatee a little distracting & don't get me started on the mullet ( potentially has Australian heritage / blood lines) , though his comments on potential TRILLION DOLLER contract , public listing as well as being open to collaborative partnerships , .......well im feeling it.

Regards,
Esq.
 
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itsol4605

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itsol4605

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Yes !!

 
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GStocks123

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IloveLamp

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IloveLamp

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manny100

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7für7

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Yeah… as expected there was just another meaningless pump recently 🥴
 
We just need some real news

Come on Sean announce something for fsake.

Tell the ASX about the deal that you did with …..

Tell the ASX that you just signed a mega contract with …….

I keep telling myself one day it might just happen.
 
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MrNick

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NVIDIA podcast is revealing about Huang's mentality.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!

Qualcomm has taught smart glasses to run AI without a smartphone: the AR1+Gen 1 chip is ready​



Qualcomm has announced a new augmented reality processor, the Snapdragon AR1+ Gen 1, that enables AI without a smartphone or cloud connection, paving the way for autonomous smart glasses with powerful local processing.


Qualcomm has taught smart glasses to run AI without a smartphone: the AR1+Gen 1 chip is ready

As Engadget reports, the new product is an improved version of the previous AR1 Gen 1, but its main difference is support for AI products directly on the device. Thanks to the 3rd generation Hexagon neuroprocessor, the chip can process up to 1 billion parameters of small language models (SLMs), such as Llama 1B, without the need for the Internet.


The developers are focusing on miniaturization: the new chip is 28% smaller than its predecessor, which allows for a 20% reduction in the height of the glasses' temples. This is critical for creating more elegant and lightweight form factors.
The AR1+ is also more power-efficient, drawing less power in scenarios such as computer vision, voice activation, Bluetooth playback, and video streaming. Qualcomm claims «premium» image quality, achieved through binocular display support, image stabilization, and a powerful multi-frame processing engine.

During the demonstration, Qualcomm’s Vice President of XR, Ziad Asghar, simulated a real-life situation:
«I was standing in a supermarket and asked the glasses to help me with a fettuccine alfredo recipe for my daughter’s birthday.» He said this was the first time a generative AI model of this type had been run entirely on smart glasses, without any external processing.

The company cited the Ray-Ban Meta and the experimental Orion AR as examples of future applications for the chip. From now on, developers will be able to create standalone AR glasses with built-in AI features without sacrificing design or usability.

As the augmented reality market moves from experimental solutions to full-fledged consumer products, built-in AI and smaller sizes could be key to mass adoption. Qualcomm is aiming to be a major player in setting the standard for the next generation of smart glasses.

As a reminder, a US court recently ruled that Qualcomm did not violate its agreement with Arm by acquiring Nuvia, a startup founded by three former Apple engineers, for $1.4 billion in 2021. This will ensure Qualcomm’s presence in the PC market, at least for a while.
 
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NVIDIA podcast is revealing about Huang's mentality.


The parallel compute they talk about is interesting as it seems Jenson is able to control many markets leaving dead competitors in his wake.
Comeon brainchip we need to see some good marketing awaken our share price ASAP
 
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7für7

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Qualcomm has taught smart glasses to run AI without a smartphone: the AR1+Gen 1 chip is ready​



Qualcomm has announced a new augmented reality processor, the Snapdragon AR1+ Gen 1, that enables AI without a smartphone or cloud connection, paving the way for autonomous smart glasses with powerful local processing.


Qualcomm has taught smart glasses to run AI without a smartphone: the AR1+Gen 1 chip is ready

As Engadget reports, the new product is an improved version of the previous AR1 Gen 1, but its main difference is support for AI products directly on the device. Thanks to the 3rd generation Hexagon neuroprocessor, the chip can process up to 1 billion parameters of small language models (SLMs), such as Llama 1B, without the need for the Internet.


The developers are focusing on miniaturization: the new chip is 28% smaller than its predecessor, which allows for a 20% reduction in the height of the glasses' temples. This is critical for creating more elegant and lightweight form factors.
The AR1+ is also more power-efficient, drawing less power in scenarios such as computer vision, voice activation, Bluetooth playback, and video streaming. Qualcomm claims «premium» image quality, achieved through binocular display support, image stabilization, and a powerful multi-frame processing engine.

During the demonstration, Qualcomm’s Vice President of XR, Ziad Asghar, simulated a real-life situation:
«I was standing in a supermarket and asked the glasses to help me with a fettuccine alfredo recipe for my daughter’s birthday.» He said this was the first time a generative AI model of this type had been run entirely on smart glasses, without any external processing.

The company cited the Ray-Ban Meta and the experimental Orion AR as examples of future applications for the chip. From now on, developers will be able to create standalone AR glasses with built-in AI features without sacrificing design or usability.

As the augmented reality market moves from experimental solutions to full-fledged consumer products, built-in AI and smaller sizes could be key to mass adoption. Qualcomm is aiming to be a major player in setting the standard for the next generation of smart glasses.

As a reminder, a US court recently ruled that Qualcomm did not violate its agreement with Arm by acquiring Nuvia, a startup founded by three former Apple engineers, for $1.4 billion in 2021. This will ensure Qualcomm’s presence in the PC market, at least for a while.

Not sure if this is good for us though…
 
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