BRN Discussion Ongoing

[FJ-215]

Sorry for the bold and layout.

"Apr 2, 2025 2:00 AM Eastern Daylight Time

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications​

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GOTHENBURG, Sweden--(BUSINESS WIRE)--The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications. Already in development at Frontgrade Gaisler, the device is part of the company’s new GRAIN (Gaisler Research Artificial Intelligence NOEL-V) product line.​

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The first GRAIN device that Frontgrade Gaisler will premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI. The GR801 combines Gaisler’s NOEL-V RISC-V processor and the Akida neuromorphic AI processor into a single integrated circuit to enable energy-efficient AI applications in the space environment. Sweden’s Royal Institute of Technology (KTH) is contributing to this development by designing a demonstration application that uses a neuromorphic sensor directly connected to Gaisler’s new GR801 device.​

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Frontgrade Gaisler is designing the entire GRAIN product line to enable more advanced and autonomous space missions, and to enhance the space industry's capabilities in energy-efficient AI. The GR801 SoC will support both commercial and institutional space missions, enabling new applications and meeting strict power and weight constraints.​

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“Our latest innovation opens new avenues and complements our existing range of proven and reliable processing products,” said Sandi Habinc, General Manager at Frontgrade Gaisler. “GRAIN is an exciting new pursuit for Gaisler because we are well positioned to enable new capabilities for real-time data processing, autonomous navigation, Earth observation, and object detection and tracking.”​

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Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, has launched its new Gaisler Research Artificial Intelligence NOEL-V (GRAIN) product line. The first GRAIN device to premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI.​

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“Our continued collaboration with Frontgrade Gaisler to incorporate Akida IP into space SoCs showcases the importance of having environmentally hardened solutions, already proven to perform in the most extreme conditions,” said Sean Hehir, CEO of BrainChip. “We have worked hard to ensure our neuromorphic technology can meet the low-energy, low-latency, high-performance needs of GRAIN and other space-based devices in order to provide AI at – and beyond – the edge.”​

Frontgrade Gaisler announced its new GRAIN product line at the second RISC-V in Space Workshop 2025, in Gothenburg, Sweden. The event focuses on how RISC-V technology is being leveraged in space systems, ranging from satellites to deep space missions. Learn more about the GRAIN product line at gaisler.com/grain​

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Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications

The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contr...

www.businesswire.com

Us????

In a real product!!!

Thankyou @cosors

Tell me more....

 

[rgupta]

This is how Sean will sell it to sh. If we are not US listed we won't get any grants etc. We'll look into dual listing's Sean

Technology is the new war game in geopolitics. US had banned Nvidia latest GPUs to be sold to China and limit the no to other countries like India
Now if have a good technology then the world will follow us than the other way around.
The world will only respect us if we respect ourselves.
So management wants to move to US for funding only I don't think it will be a justice to our patient wait.
Dyor

 

[Frangipani]

https://lnkd.in/d5rwTRF4 https://lnkd.in/dh8YcDKa GRAIN=NOEL-V + Akida 😄… | Alf Kuchenbuch

https://lnkd.in/d5rwTRF4 https://lnkd.in/dh8YcDKa GRAIN=NOEL-V + Akida 😄 🚀📡🛰

www.linkedin.com

 

[Frangipani]

So great! | Gilles Bézard

So great!

www.linkedin.com

 

[rgupta]

Absolutely. Remember the deleted LinkedIn posts that said we were partnered with RTX (then were deleted) by BRN.

Just wondering if the post was removed on behest of RTX management or brn management. Because result is same, circumstances are same, amount allocation for sub contractor was mentioned without a contract??
But yes time is different, if we know in advance about the subcontractor may be we could had better utilize those 40 million shares for on market sell off.
Anyway it is what it is.
Dyor

 

[Frangipani]

Overview​

This page describes a running development and no guarantees can be given concerning future product availability. All information on this page is subject to change without notice. Please click this link to sign up to receive notifications about product and documentation updates.
The GRAIN architecture consists of a neuromorphic processing engine (Brainchip AkidaTM 1.0), a single-core RISC-V RV64GC processor (NOEL-V) for system management, and several digital interfaces.
GRAIN is a reliable computing platform for AI applications such as image recognition, autonomous navigation, and data analysis. The neuromorphic engine provides fast and energy-efficient inference, enabling fast on-board decisions.
‍

Software​

Block diagram​

Detailed features​

NOEL-V RISC-V Processor

• General-purpose RISC-V processor (RV64GC)
• High-performance processing for traditional computing tasks
• System management and configuration of the neuromorphic engine

AkidaTM neuromorphic processing accelerator

• ‍‍Akida provides acceleration of AI models using event-based computing to minimize power consumption.
• Eight neural processing nodes connected in a mesh network
• Each node consisting of four convolutional or fully connected engines
• Each node supports 128 4x4 MACs, for total of 1024 MACs/clock
• Hardware support for 1, 2, or 4-bit hybrid quantized weights
• Multi-Pass Processing enables execution of large neural networks

Interfaces

• ‍‍‍‍PCIe Gen 3 x4 port with capability to act both as a root port and as an endpoint
• 10/100/1000Mbit Ethernet interface
• 200Mbit/s SpaceWire port
• SPI,I2C and UART low speed interfaces.

GRAIN | Gaisler

GRAIN is a radiation-hardened SoC designed to enable reliable artificial intelligence (AI) applications in space.

www.gaisler.com

Here is a picture of what the new GR801 SoC is going to look like as well as the block diagram to go along with the text @yogi already shared:

 

[Frangipani]

Akida in Space! For their GRAIN Space SoC, Frontgrade Gaisler integrates… | Alf Kuchenbuch

Akida in Space! For their GRAIN Space SoC, Frontgrade Gaisler integrates BrainChip 's Akida IP onto silicon side by side with their RISC-V processor NOEL-V for production.

www.linkedin.com

 

[Frangipani]

#linkedin #linkedinglobal #opentowork #help #knowledge #fundation #dsa… | Rishav Chatterjee 🇮🇳

You’re not a complete Frontend Developer if you can’t make a feature or requirement without a framework or library! If you can build something using…

www.linkedin.com

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Happy as Larry (buying more this week)

This guy’s post begs the question, though, why he wants to leave TCS?

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#ai #edgecomputing #neuromorphiccomputing #javascript #innovation #nieche | Rishav Chatterjee 🇮🇳

Got appreciated by a stakeholder for my recent work on Edge Computing with BrainChip ! 🙌 Developed a highly performant & lightweight solution on BrainChip using JavaScript, which required strong foundational skills of JavaScript! AI + Edge Computing + Neuromorphic Computation = The Future! 🚀...

www.linkedin.com

 

[Zedjack33]

Surely we gotta get some traction now after what’s been out there today.

 

[TheDrooben]

#ai #edgecomputing #neuromorphiccomputing #javascript #innovation #nieche | Rishav Chatterjee 🇮🇳

Got appreciated by a stakeholder for my recent work on Edge Computing with BrainChip ! 🙌 Developed a highly performant & lightweight solution on BrainChip using JavaScript, which required strong foundational skills of JavaScript! AI + Edge Computing + Neuromorphic Computation = The Future! 🚀...

www.linkedin.com

View attachment 81117

 

[7für7]

Surely we gotta get some traction now after what’s been out there today.

Yeah for sure … traction like this…

 

[FiveBucks]

Thanks mate

Mate you are setting yourself up for disappointment.

It's an event to promote the switch 2. Purely marketing.

They are not going to talk specs. Nintendo never do. And even if Akida is inside (long shot), they are not going to tell anyone tonight.

 

[7für7]

BMW is dead to me for good… Then they all complain—sanction China, China is evil, this and that… but in the end, they choose Chinese AI. All the hate just to keep the ordinary citizen in the right mood. But I bet they think it’s an Arabic company…

Alibaba joins forces with BMW to work on AI tech for cars in China

The partnership demonstrates Alibaba’s increased focus on AI, while BMW is also seeking to develop competitive products for the Chinese market.

www.euronews.com

 

[Frangipani]

No doubt, the Frontgrade Gaisler team will be spruiking the GR801 at the upcoming 40th Space Symposium in Colorado Springs.

By the way, it was a picture taken at the Frontgrade booth during that very expo last year (and posted on LinkedIn by FG), in which I spotted Jonathan Tapson first working for us (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418645).

Since he lives in Colorado (although in Telluride, which isn’t exactly around the corner but still much closer to Colorado Springs compared to where our BrainChip staff in Southern California are based), I wouldn’t be surprised if he attended the Space Symposium again this year.

Especially since Frontgrade Gaisler won’t be our only partner there:
ANT61 CEO Michail Asavkin will be a speaker at the Space Symposium Innovate Pitch Competition “designed to showcase emerging space companies with proven technologies and provide an opportunity for entrepreneurs to connect with key stakeholders.” (https://www.spacesymposium.org/agenda/)

I’ve been wondering for quite some time now whether another startup pitching at that event - Little Place Labs - might be experimenting with Akida as well, since I have noticed Alf Kuchenbuch liking numerous posts by that spin-off from the University of Oxford (now headquartered in Houston, TX) and their co-founder and CEO Bosco Lai in recent months.

#spacecomputing | Frontgrade Gaisler

Meet the Frontgrade Gaisler team at the 40th Space Symposium arranged by the Space Foundation on 7-10 April in Colorado Springs, CO. You can find our…

www.linkedin.com

Little Place Labs | Space Insights in Minutes

Little Place Labs develops cutting-edge technologies and used AI in space that transform satellite data into actionable insights in just 7 minutes, enabling quicker decision-making and unlocking unprecedented opportunities.

www.littleplace.com

LinkedIn Login, Sign in | LinkedIn

Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.

www.linkedin.com

 

[DingoBorat]

Sorry for the bold and layout.

"Apr 2, 2025 2:00 AM Eastern Daylight Time

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications​

View attachment 81100 ​

​

GOTHENBURG, Sweden--(BUSINESS WIRE)--The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications. Already in development at Frontgrade Gaisler, the device is part of the company’s new GRAIN (Gaisler Research Artificial Intelligence NOEL-V) product line.​

​

​

Share​

​

The first GRAIN device that Frontgrade Gaisler will premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI. The GR801 combines Gaisler’s NOEL-V RISC-V processor and the Akida neuromorphic AI processor into a single integrated circuit to enable energy-efficient AI applications in the space environment. Sweden’s Royal Institute of Technology (KTH) is contributing to this development by designing a demonstration application that uses a neuromorphic sensor directly connected to Gaisler’s new GR801 device.​

​

Frontgrade Gaisler is designing the entire GRAIN product line to enable more advanced and autonomous space missions, and to enhance the space industry's capabilities in energy-efficient AI. The GR801 SoC will support both commercial and institutional space missions, enabling new applications and meeting strict power and weight constraints.​

​

“Our latest innovation opens new avenues and complements our existing range of proven and reliable processing products,” said Sandi Habinc, General Manager at Frontgrade Gaisler. “GRAIN is an exciting new pursuit for Gaisler because we are well positioned to enable new capabilities for real-time data processing, autonomous navigation, Earth observation, and object detection and tracking.”​

​

Share​

---

​

​

Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, has launched its new Gaisler Research Artificial Intelligence NOEL-V (GRAIN) product line. The first GRAIN device to premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI.​

​

“Our continued collaboration with Frontgrade Gaisler to incorporate Akida IP into space SoCs showcases the importance of having environmentally hardened solutions, already proven to perform in the most extreme conditions,” said Sean Hehir, CEO of BrainChip. “We have worked hard to ensure our neuromorphic technology can meet the low-energy, low-latency, high-performance needs of GRAIN and other space-based devices in order to provide AI at – and beyond – the edge.”​

Frontgrade Gaisler announced its new GRAIN product line at the second RISC-V in Space Workshop 2025, in Gothenburg, Sweden. The event focuses on how RISC-V technology is being leveraged in space systems, ranging from satellites to deep space missions. Learn more about the GRAIN product line at gaisler.com/grain​

​

..."​

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications

The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contr...

www.businesswire.com

SNSA? ...
Hey, well I guess it's a start..

 

[Bravo]

Overview​

This page describes a running development and no guarantees can be given concerning future product availability. All information on this page is subject to change without notice. Please click this link to sign up to receive notifications about product and documentation updates.
The GRAIN architecture consists of a neuromorphic processing engine (Brainchip AkidaTM 1.0), a single-core RISC-V RV64GC processor (NOEL-V) for system management, and several digital interfaces.
GRAIN is a reliable computing platform for AI applications such as image recognition, autonomous navigation, and data analysis. The neuromorphic engine provides fast and energy-efficient inference, enabling fast on-board decisions.
‍

Software​

Block diagram​

Detailed features​

NOEL-V RISC-V Processor

• General-purpose RISC-V processor (RV64GC)
• High-performance processing for traditional computing tasks
• System management and configuration of the neuromorphic engine

AkidaTM neuromorphic processing accelerator

• ‍‍Akida provides acceleration of AI models using event-based computing to minimize power consumption.
• Eight neural processing nodes connected in a mesh network
• Each node consisting of four convolutional or fully connected engines
• Each node supports 128 4x4 MACs, for total of 1024 MACs/clock
• Hardware support for 1, 2, or 4-bit hybrid quantized weights
• Multi-Pass Processing enables execution of large neural networks

Interfaces

• ‍‍‍‍PCIe Gen 3 x4 port with capability to act both as a root port and as an endpoint
• 10/100/1000Mbit Ethernet interface
• 200Mbit/s SpaceWire port
• SPI,I2C and UART low speed interfaces.

SiFive's X288 core complex is compatible with RV64GC.

Just saying...

Maybe this is also our way to NASA's HPSC?...So I asked ChatGPT that very question!

PS: Below is the response I received from ChatGPT. I don't need to remind everyone to take it with a grain of salt as it is "speculative", however, I reckon this idea has merit because all of the components appear to be extremely compatible for a radiation hardened, space grade, AI edge acceleration solution.

 

[DingoBorat]

BMW is dead to me for good… Then they all complain—sanction China, China is evil, this and that… but in the end, they choose Chinese AI. All the hate just to keep the ordinary citizen in the right mood. But I bet they think it’s an Arabic company…

Alibaba joins forces with BMW to work on AI tech for cars in China

The partnership demonstrates Alibaba’s increased focus on AI, while BMW is also seeking to develop competitive products for the Chinese market.

www.euronews.com

It's not really surprising, when you look at their market..

Key automobile markets of BMW Group 2024 | Statista

In 2024, Germany was the third leading market for cars from the BMW Group. It was the only European country in the top three.

www.statista.com

Chinese customers outnumber their 2nd biggest single market, the US, by almost 2 to 1..

 

[Frangipani]

Uni researchers in the United Arab Emirates (from New York University Abu Dhabi and Khalifa University, Abu Dhabi) have experimented with Akida for neuromorphic AI-based robotics - the field our CTO Dr. Tony Lewis is an expert in:

https://arxiv.org/pdf/2404.03325.pdf

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Rachmad Vidya Wicaksana Putra and Muhammad Shafique, two of the New York University (NYU) Abu Dhabi eBrain Lab researchers, whose above paper on experimenting with Akida for neuromorphic AI-based robotics was published almost exactly a year ago, appear to be extremely enamoured with our neuromorphic processor! They co-authored another paper on AKD1000 with their colleague Pasindu Wickramasinghe that was published yesterday and that also got accepted at the International Joint Conference on Neural Networks (IJCNN), June 30th - July 5th, 2025 in Rome, Italy.


“Neuromorphic Processors
1) Overview: The energy efficiency potentials offered by
SNNs can be maximized by employing neuromorphic hard- ware processors [22]. In the literature, several processors have been proposed, and they can be categorized as research and commodity processors. Research processors refer to neuro- morphic chips that are designed only for research and not commercially available, hence access to these processors is limited. Several examples in this category are SpiNNaker, NeuroGrid, IBM’s TrueNorth, and Intel’s Loihi [4].
Meanwhile, commodity processors refer to neuromorphic chips that
are available commercially, such as BrainChip’s Akida [7] and SynSense’s DYNAP-CNN [8]. In this work, we consider the Akida processor as it supports on-chip learning for SNN fine-tuning, which is beneficial for adaptive edge AI systems [7].

(…)


E. Further Discussion
It is important to compare neuromorphic-based solutions against the state-of-the-art ANN-based solutions, which typically employ conventional hardware platforms, such as CPUs, GPUs, and specialized accelerators (e.g., FPGA or ASIC). To ensure a fair comparison, we select object recognition as the application and YOLOv2 as the network, while considering performance efficiency (FPS/W) as the comparison metric. Summary of the comparison is provided in Table I, and it clearly shows that our Akida-based neuromorphic solution achieves the highest performance efficiency. This is due to the sparse spike-driven computation that is fully exploited by neuromorphic processor, thus delivering highly power/energy-efficient SNN processing. Moreover, our Akida-based neuromorphic solution also offers an on-chip learning capability, which gives it further advantages over the other solutions. This comparison highlights the immense potentials of neuromor- phic computing for enabling efficient edge AI systems.

VI. CONCLUSION
We propose a novel design methodology to enable efficient SNN processing on commodity neuromorphic processors. It is evaluated using a real-world edge AI system implementation with the Akida processor. The experimental results demonstrate that, our methodology leads the system to achieve high performance and high energy efficiency across different applications. It achieves low latency of inference (i.e., less than 50ms for image classification, less than 200ms for real- time object detection in video streaming, and less than 1ms for keyword recognition) and low latency of on-chip learning (i.e., less than 2ms for keyword recognition), while consuming less than 250mW of power. In this manner, our design methodology potentially enables ultra-low power/energy design of edge AI systems for diverse application use-cases.”

https://arxiv.org/pdf/2504.00957v1

 

[7für7]

It's not really surprising, when you look at their market..

Key automobile markets of BMW Group 2024 | Statista

In 2024, Germany was the third leading market for cars from the BMW Group. It was the only European country in the top three.

www.statista.com

View attachment 81143

Chinese customers outnumber their 2nd biggest single market, the US, by almost 2 to 1..

Yes sure … I know that , but that brings me back to the point that they always try to make us believe how bad Europe’s (Germany’s) relationship with China is… Meanwhile, they continue doing business, but the ordinary citizen is supposed to hate China or at least feel some kind of resentment toward them.

I don’t want to get political, but I just wanted to highlight the double standards. Nothing we don’t already know, but it’s still nauseating every time.

 

[Frangipani]

We get mentioned twice on www.eenewseurope.com today!

Raytheon to use Akida neuromorphic AI chip for radar processing

Raytheon is using the Akida neuromorphic AI chip from Brainchip in a US research project on radar signal processing.

www.eenewseurope.com

Frontgrade Gaisler to commercialise neuromorphic AI for space

The Swedish National Space Agency has contracted Frontgrade Gaisler to develop a combined RISC-V neuromorphic SoC for use in space.

www.eenewseurope.com