Jacob Kiraz
Member
Where does it say Akida is in the Nitendo switch 2
BRN Discussion Ongoing
- Thread starter TechGirl
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Frangipani
Top 20
Speaking of Silicon Valley: The position of “Sales Director US/Bay Area” is still open after more than five months of advertising it:
(Cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-445809).
I am somewhat surprised our company still hasn’t found anyone deemed suitable to fill this position (which will be reporting directly to the VP of Global Sales), given our KMP clearly saw a need by creating this new job.
Or is the problem possibly a lack of applicants due to the high requirements listed under “Essential job duties and responsibilities” and “Qualifications” that may come across as overwhelming to some?
Do qualified and interested candidates possibly shy away from applying when reading things like “Expectation to complete at least one contract/deal within your first year of employment” against the backdrop of our company’s woeful financials and minimalist IP sales track record so far, wondering whether they will risk being given the boot within a year of starting their new job or even worse fear the company may not survive financially?
Note that potential applicants with a business, marketing or engineering degree, although experienced in the semiconductor or technology industry, may not necessarily be familiar with neuromorphic technology and its future prospects, yet. At the end of the day, they might prefer to go with an established big player or a smaller, but already meaningful revenue-generating company.
After all, the Bay Area is teeming with companies in the semiconductor business, from giant global players to promising startups.
(Cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-445809).
I am somewhat surprised our company still hasn’t found anyone deemed suitable to fill this position (which will be reporting directly to the VP of Global Sales), given our KMP clearly saw a need by creating this new job.
Or is the problem possibly a lack of applicants due to the high requirements listed under “Essential job duties and responsibilities” and “Qualifications” that may come across as overwhelming to some?
Do qualified and interested candidates possibly shy away from applying when reading things like “Expectation to complete at least one contract/deal within your first year of employment” against the backdrop of our company’s woeful financials and minimalist IP sales track record so far, wondering whether they will risk being given the boot within a year of starting their new job or even worse fear the company may not survive financially?
Note that potential applicants with a business, marketing or engineering degree, although experienced in the semiconductor or technology industry, may not necessarily be familiar with neuromorphic technology and its future prospects, yet. At the end of the day, they might prefer to go with an established big player or a smaller, but already meaningful revenue-generating company.
After all, the Bay Area is teeming with companies in the semiconductor business, from giant global players to promising startups.
Frangipani
Top 20
Our new partner, Taiwan-based Andes Technology Corporation, is organising a RISC-V conference in June that BrainChip will be attending:
Andes RISC-V CON 2025 June 10 Hsinchu, Taiwan
Andes RISC-V CON 2025 June 10 Hsinchu, Taiwan Join BrainChip at The Andes RISC-V CON – June 10, 2025 in Hsinchu, Taiwan, where global developers and technologists will gather to advance RISC-V innovation. This event highlights the impact of RISC-V’s flexible architecture in AI, application...brainchip.com
View attachment 77068
🎉【2025 Andes RISC-V CON Hsinchu – Successfully Wrapped Up!】 Under the… | Andes Technology
🎉【2025 Andes RISC-V CON Hsinchu – Successfully Wrapped Up!】 Under the theme "RePioneering the Future", this year’s event brought together global RISC-V partners to explore cutting-edge applications in AI, Automotive, AP and Security. ✨We also celebrated Andes’ 20th anniversary with a special...
At yesterday’s 2025 Andes RISC-V CON Hsinchu, Edward Lien, our Regional Sales Manager in Taiwan, gave a presentation on “RISC-V and AI Acceleration” and how BrainChip’s IP fits into it:
#brainchipakida #andesriscvcon | Edward Lien, Executive MBA
Join us next week at RISC-V CON Hsinchu where I will present on RISC-V and AI Acceleration and share how our Akida NPU IP fits into RISC-V + AI. Register now: https://2vx.co/91eFVF4 #BrainChipAkida #AndesRISCVCON
Sales people comes and go all the time, a time frame to deliver seems very normal, they have booted out quite a few over the last 4 years, or they left by themselves, not sure which?
If they have been looking for 5 months they must either be very picky or competent people are getting better offers elsewhere?
Sales director US is a very senior position, the right person will maybe have to be head-hunted directly, which demands a very attractive salary package for that person to leave an already good and safe job in a big established company. The negative persons over at "the toilet" are already fuming over the salary packages, they maybe think we should just hire a bunch of hillbillies and be done with it, LOL.
#riscv #spacetech | RISC-V in Space
Two months after the RISC-V in Space event in Gothenburg, the momentum hasn’t stopped! With 1700 followers and a growing global community, it's clear there is a strong interest in RISC-V. Keep following this page for exciting updates, insights, and opportunities to get involved. #RISCV #SpaceTech
GStocks123
Regular
AI Workshop: Spiking Neural Networks
Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and...
calendar.ucsc.edu
Workshop coming up in August.. Happy with the co-sponsor!
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smoothsailing18
Regular
brn is involved.
Tothemoon24
Top 20
#hiring | BrainChip
We're #hiring a new Field Application Engineer in Taiwan. Apply today or share this post with your network.
Schwale
Regular
This integrated sensor from Sony looks very promising. This could potentially contain the Akida IP and meets the phrase "sensor fusion".
🎉【2025 Andes RISC-V CON Hsinchu – Successfully Wrapped Up!】 Under the… | Andes Technology
🎉【2025 Andes RISC-V CON Hsinchu – Successfully Wrapped Up!】 Under the theme "RePioneering the Future", this year’s event brought together global RISC-V partners to explore cutting-edge applications in AI, Automotive, AP and Security. ✨We also celebrated Andes’ 20th anniversary with a special...
Neuromorphic Computing: Bridging the Gap Between AI and Human Intelligence | Nirvana Fanaelahi
Neuromorphic Computing: Revolutionizing Technology with Brain-Inspired Systems Neuromorphic computing is a cutting-edge field that designs computer systems inspired by the architecture and functionality of the human brain. Unlike traditional computing, which relies on the von Neumann...
Frangipani
Top 20
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).***
June 11, 2025 by Kanika Atri
Share
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.
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 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
6g-ric.de
**
***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.
www.bmbf.de
“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
Using the NVIDIA 6G research portfolio, European telecommunications institutions are accelerating efforts to develop 6G — the next generation of cellular technology.
blogs.nvidia.com
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
Share
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.
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
TIA 4 - 6G-RIC Research and Innovation Cluster
While there have been significant research efforts to address different aspects of IoT/MTC in current cellular standards, the vision of extreme IoT/MTC
6g-ric.de
**
***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.
Ministry - BMBF
We are shaping the future through education and research – because education is the foundation of a self-determined life. And research helps us to discover the new and to improve on the known. By taking this approach we create opportunities – for each and every individual and the whole of society.
Last edited:
Morning Chippers,
Feeling Lucky .
Good short interview ,
Regards,
Esq.
Feeling Lucky .
Good short interview ,
Regards,
Esq.
Pom down under
Top 20
Certainly is short if you don’t click on it
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.
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.
Pom down under
Top 20
So they think they are better than Pico
spectrum.ieee.org
Spiking Neural Network Chip for Smarter Sensors
Innatera’s chip promises lower latency and power consumption for edge AI
spectrum.ieee.org
Well ... who knows the answer?
www.linkedin.com
#edgeai #raspberrypi #embeddedsystems #generativeai #celus | André Alcalde | 25 comments
You can now run LLMs on a Raspberry Pi 5. Yes, seriously. With just about 10W of power. Edge AI just got a major upgrade. The new SAKURA-II M.2 module by EdgeCortix brings serious AI acceleration to the edge, including support for Generative AI models and LLMs at a scale that fits in your...
Yes !!
www.linkedin.com
#arm #mediatek #applesilicon #qualcomm #horizonrobotics #brainchip #edgeai… | Harsh Jain
In the realm of modern edge devices, real-time perception is crucial, demanding minimal power consumption. AI-ISP chips address this need by integrating traditional imaging functions like noise reduction, HDR, and demosaicing with on-chip AI inference engines—typically NPUs or CNN-optimized...
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