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BRN Discussion Ongoing
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Seeing as there is a rare lunar event occurring this evening in Australia, where the moon will be flooded with a red light, I thought it might be fun to randomly select a post and see what it might turn up.
Here's where my randomness took me, which weirdly enough was and FMF post (FullMoonForever).
I must admit I was quite surprised to find that Sunny Bains actually asks the question about how much consolidation will occur in the next few years and then goes on to talk about Prophesee, Qualcomm and BrainChip.
.
Here's where my randomness took me, which weirdly enough was and FMF post (FullMoonForever).
I must admit I was quite surprised to find that Sunny Bains actually asks the question about how much consolidation will occur in the next few years and then goes on to talk about Prophesee, Qualcomm and BrainChip.
.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Speaking of smart glasses, what have we here?
Fortiss is actively developing smart glasses prototypes incorporating neuromorphic technology through their EMMANÜELA project, which focuses on energy-efficient human-machine interaction in augmented and virtual reality (AR/VR) settings. This initiative leverages neuromorphic sensor technology and computing to enhance immersive digital experiences.
Can't find anything to suggest a direct collaboration between Fortiss and BrainChip at this time, so will keep it on the watch list.
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Neuromorphic computing creates an immersive digital experience
In the EMMANÜELA project, fortiss is researching the use of neuromorphic sensor technology and neuromorphic computing in AR/VR. The aim is to investigate the potential of these technology-inspired approaches for augmented digital worlds and to open up new application possibilities.www.fortiss.org
Let's hope we'll be "seeing" some AR glasses soon from Fortiss, as above?
Frangipani
Top 20
Guess what - I just found out that Axel von Arnim and Jules Lecomte merely pretend to be neuromorphic researchers at fortiss and that our gullible BrainChip staff fell for this scam when partnering with them!
In reality, the two of them are robots, as this photo proves…
𝗳𝗼𝗿𝘁𝗶𝘀𝘀 𝗮𝘁 𝘁𝗵𝗲 𝟭𝘀𝘁 𝗚𝗲𝗿𝗺𝗮𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲! | fortiss
𝗳𝗼𝗿𝘁𝗶𝘀𝘀 𝗮𝘁 𝘁𝗵𝗲 𝟭𝘀𝘁 𝗚𝗲𝗿𝗺𝗮𝗻 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲! 🤖 From Wednesday to Saturday this week, the 1st German Robotics Conference in Nuremberg brings together top researchers, industry leaders, academic experts and innovators to exchange ideas and showcase cutting-edge developments and shape the...
Are you aware, by the way, that the Fraunhofer-Gesellschaft is also recognised as a non-profit research organisation in Germany?
Fraunhofer-Gesellschaft: Innovating German Research
Explore Fraunhofer-Gesellschaft's pioneering research in Germany. Discover its projects and global impact today.
BrainShit
Regular
FPGAs are favored for their flexibility, low power consumption, and ability to adapt to evolving system needs.
They used for a wide range of applications due to their reprogrammability and parallel processing capabilities. Key uses include:
- Hardware Acceleration: Boosting computational performance in areas like AI, machine learning, cryptography, and scientific computing.
- Digital Signal Processing (DSP): High-speed tasks like signal modulation, filtering, and real-time image processing in radar and communication systems.
- Embedded Systems: Customizing systems-on-a-chip for applications in automotive, aerospace, and consumer electronics.
- Prototyping: Rapid development and testing of application-specific integrated circuits (ASICs).
- Medical Imaging: Supporting complex tasks such as MRI segmentation and tomographic reconstruction.
- Telecom and 5G: Handling dynamic requirements in communication systems.
- Edge Computing & Robotics: Enabling AI inferencing and secure system control in industrial automation.
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CHIPS
Regular
If you are not representing your company at trade fairs, you are almost dead or do not exist! It is a MUST to be there because that is the place where people and potential customers browse and stop by.
Frangipani
Top 20
Visit our Gold Sponsor BrainChip in their booth where they will be ready to discuss their latest technologies! | RISC-V in Space
Visit our Gold Sponsor BrainChip in their booth where they will be ready to discuss their latest technologies! BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, Akida, mimics the human brain to analyze only...www.linkedin.com
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Front Page - RISC-V in Space Workshop 2025
Exploring the latest innovations, applications, and challenges of RISC-V architecture in the space sector.
www.risc-v.space
Workshop schedule on 2 April:
Bravo
If ARM was an arm, BRN would be its biceps💪!
Not sure if this is new. A brief promo video on the Qauntum Ventura website.
www.quantumventura.com
What do we do
www.quantumventura.com
Good point I think.
Newk R
Regular
Not sure if this is new. A brief promo video on the Qauntum Ventura website.
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What do we do
Continuing the theme:
https://www.quantumventura.com/cyberneuro-rt
CyberNeuro-RT
An IoT, AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool with CPU, GPU or low-power neuromorphic chip deployment
...
I'd like to see Akida in a USB stick.
Smoothsailing
Regular
I sent them an email asking can my company purchase neuromorphic usb sticks but no response yet
White Horse
Regular
Nice article.
https://www.linkedin.com/pulse/lets-stop-messing-around-big-shots-join-edge-ai-community-iotstars-nwv6f/?trackingId=E7mxd9GDVk+rAelQrVQmZg==
The State of Edge AI – panel at IoT Stars
2,528 followers
March 14, 2025
It’s no secret that Edge AI is a hot topic, arguably the main theme of last week's embedded world Exhibition&Conference in Nuremberg, Germany.
The biggest buzz on the conference floor? Edge Impulse's acquisition by Qualcomm! Would this mean that the technology is moving beyond its infancy and into industry adoption?
“This year’s insane!” cried Zach Shelby, reacting to the sheer number of real Edge AI projects on display. While Edge Impulse may be ahead of the curve, it’s clear that the Edge AI space is moving fast. A year ago, a conversation about “the state of Edge AI” might have felt like an echo chamber where people could only talk about a handful of Edge AI applications which barely moved beyond its POC stage. This year is different. It seemed like every exhibitor at Embedded World had a real Edge AI story to share, primarily focused on computer vision, built without powerful, energy-draining and expensive GPUs. Instead, exhibitors showcased low-resolution cameras connected to inexpensive, battery-powered microcontrollers, running ultra-fast models with minimal latency and energy consumption
The Edge AI community is flourishing, with more developers than ever gaining access to free AI models. But the real bottleneck to adoption isn’t the models, it’s the quality of the data.
Companies have been collecting data for decades, yet much of it can be completely thrown away. Many data sets are sampled, aggregated or lack clear context on what happened when that data was collected, making them useless for training AI models. “We need good data from real sensor as close to the real deployments as possible.” Shelby underscores the need for best practices to enable people to collect high quality data and more collaboration centered around data; we need to find better ways to crowdsource, collect and share data.
The threshold to getting started might seem low, but we’re mostly talking to the same group of embedded developers who’re actually putting Edge AI to use. “It’s an engineering party, hosted in an ivory tower” as Fabio Violante, CEO of Arduino put it. We need to open up, bringing in more creativity.
“What’s the hello world of AI?” asked Brandon Satrom from Blues. “It’s chatbots!” And if there’s anything we don’t need more of, it’s chatbots, which won’t work on MCU-based devices anyway. Put that Raspberry Pi away and stop running Ollama. Look beyond chatbots and start implementing sensor-driven applications which solve real problems. As Violante nicely put it “Edge AI is there to solve problems, not the other way around”
The industry is at a turning point with big shots investing heavily. Now is the time to define best practices, share experiences and crowdsource high quality data. Could this be the moment for the EDGE AI FOUNDATION to take the lead?
Let’s stop messing around and start solving real problems using a technology that has proven itself.
Laurens Slats from IoT Stars
Based on the conversation with Pete Bernard, Zach Shelby , Brandon Satrom , and Fabio Violante.
https://www.linkedin.com/pulse/lets-stop-messing-around-big-shots-join-edge-ai-community-iotstars-nwv6f/?trackingId=E7mxd9GDVk+rAelQrVQmZg==
The State of Edge AI – panel at IoT Stars
Let’s stop messing around, big shots join the Edge AI community
IoT Stars
2,528 followers
March 14, 2025
It’s no secret that Edge AI is a hot topic, arguably the main theme of last week's embedded world Exhibition&Conference in Nuremberg, Germany.
The biggest buzz on the conference floor? Edge Impulse's acquisition by Qualcomm! Would this mean that the technology is moving beyond its infancy and into industry adoption?
The Edge AI space is moving fast
“This year’s insane!” cried Zach Shelby, reacting to the sheer number of real Edge AI projects on display. While Edge Impulse may be ahead of the curve, it’s clear that the Edge AI space is moving fast. A year ago, a conversation about “the state of Edge AI” might have felt like an echo chamber where people could only talk about a handful of Edge AI applications which barely moved beyond its POC stage. This year is different. It seemed like every exhibitor at Embedded World had a real Edge AI story to share, primarily focused on computer vision, built without powerful, energy-draining and expensive GPUs. Instead, exhibitors showcased low-resolution cameras connected to inexpensive, battery-powered microcontrollers, running ultra-fast models with minimal latency and energy consumption
Real data, real sensors
The Edge AI community is flourishing, with more developers than ever gaining access to free AI models. But the real bottleneck to adoption isn’t the models, it’s the quality of the data.
Companies have been collecting data for decades, yet much of it can be completely thrown away. Many data sets are sampled, aggregated or lack clear context on what happened when that data was collected, making them useless for training AI models. “We need good data from real sensor as close to the real deployments as possible.” Shelby underscores the need for best practices to enable people to collect high quality data and more collaboration centered around data; we need to find better ways to crowdsource, collect and share data.
We don’t need more chatbots!
The threshold to getting started might seem low, but we’re mostly talking to the same group of embedded developers who’re actually putting Edge AI to use. “It’s an engineering party, hosted in an ivory tower” as Fabio Violante, CEO of Arduino put it. We need to open up, bringing in more creativity.
“What’s the hello world of AI?” asked Brandon Satrom from Blues. “It’s chatbots!” And if there’s anything we don’t need more of, it’s chatbots, which won’t work on MCU-based devices anyway. Put that Raspberry Pi away and stop running Ollama. Look beyond chatbots and start implementing sensor-driven applications which solve real problems. As Violante nicely put it “Edge AI is there to solve problems, not the other way around”
Community, unite!
The industry is at a turning point with big shots investing heavily. Now is the time to define best practices, share experiences and crowdsource high quality data. Could this be the moment for the EDGE AI FOUNDATION to take the lead?
Let’s stop messing around and start solving real problems using a technology that has proven itself.
Laurens Slats from IoT Stars
Based on the conversation with Pete Bernard, Zach Shelby , Brandon Satrom , and Fabio Violante.
Day 3 of #EmbeddedWorld in Nürnberg, Germany. | Alf Kuchenbuch
Day 3 of #EmbeddedWorld in Nürnberg, Germany. Come and see our Akida 2.0 in action at our booth 213 in Hall 5, next to the #RISC_V booth!
Nice comment from Spencer Huang of Edge Impulse.
Attachments
Yes on LinkedIn. Sorry I couldn’t figure out how to link it, no pun intended.
“Nice?” is just a plain, generic comment. Or maybe I’m just so jaded that I’m missing the message.. could you give me a hint?
Day 3 of #EmbeddedWorld in Nürnberg, Germany. | Alf Kuchenbuch
Day 3 of #EmbeddedWorld in Nürnberg, Germany. Come and see our Akida 2.0 in action at our booth 213 in Hall 5, next to the #RISC_V booth!
Nice comment from Spencer Huang of Edge Impulse.
MadMayHam | 合氣道
Regular
Embedded World 2025, what's cooking at BrainChip : Our CTO M Anthony Lewis and the BrainChip team present our demos, straight from the lab: Akida 2.0 IP running on FPGA, using our State-Space-Model… | Alf Kuchenbuch
Embedded World 2025, what's cooking at BrainChip : Our CTO M Anthony Lewis and the BrainChip team present our demos, straight from the lab: Akida 2.0 IP running on FPGA, using our State-Space-Model implementation TENNs for running an LLM (like ChatGPT) with 1B parameters offline/ fully...
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Thanks for the link Supersonic. The irony of his presentation is that in his Linkedin post, Alf Kuchenbuch commented "Please excuse the poor sound quality of this clip, we took it at the show floor." while Tony was talking about, AND PRESENTING an AN AUDIO DENOISING solution that was denoising THE VERY SAME SHOWFLOOR COMMOTION.
Another missed opportunity for the company -- they could have started the clip with the ambient sound, and then denoised the rest of the clip to show its efficacy.
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Nope, it was fine, people in the know got the message.
Keep on with your negative crap, one day you might succeed finding something that sticks.
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