Shadow59
Regular
I'd be happy with a small whale.Hmm where are the sea lions Esq?
BRN Discussion Ongoing
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Bravo
If ARM was an arm, BRN would be its biceps💪!
That is some snazzy footwork ... just making sure your high-heeled thongs don't get stuck in the grass!
Glamour and comfort ...
….Afternoon Chippers ,
Interesting....Nvidia open R & D facility to tinker on new tech.
www.jpost.com
Regards,
Esq.
Interesting....Nvidia open R & D facility to tinker on new tech.
NVIDIA launches 10,000 sq.m. R&D, Data center in Israel
The facility will include 10,000 square meters of AI data center infrastructure, and will be among the largest and most powerful data center labs in Israel, the company said.
www.jpost.com
Regards,
Esq.
Humble Genius
Regular
The OTC Markets Group has announced 2025 OTCQX Best 50, and we are sitting at No. 23.
www.globenewswire.com
On top of that, one of the criteria the OTC Markets Group used to to determine which companies would qualify for the 2025 OTCQX Best 50 includes that they are:
"not a “penny stock” on December 31, 2024 as defined under SEC Rule 3a51-1 of the Securities Exchange Act of 1934"
OTC Markets Group Announces the 2025 OTCQX Best 50
NEW YORK, Jan. 15, 2025 (GLOBE NEWSWIRE) -- OTC Markets Group Inc. (OTCQX: OTCM), today announced the 2025 OTCQX® Best 50, a ranking of the...
On top of that, one of the criteria the OTC Markets Group used to to determine which companies would qualify for the 2025 OTCQX Best 50 includes that they are:
"not a “penny stock” on December 31, 2024 as defined under SEC Rule 3a51-1 of the Securities Exchange Act of 1934"
Bravo
If ARM was an arm, BRN would be its biceps💪!
Interesting to discover that in January Frontgrade Gaisler collaborated with Klepsydra AI to adapt Frontgrade's NOEL-V processors.
So, Frontgrade have either found Klepsydra's technology lacking, or we may all be working together?
News
Klepsydra AI and Frontgrade Gaisler bring AI to space
Jan 26, 2024 11:33Wolf Wagner, Greater Zurich Area/Café Europe
The software company Klepsydra AI and Frontgrade Gaisler from Gothenburg have announced a collaboration to adapt the microprocessors used in space missions. The initiative is part of a contract awarded by the European Space Agency (ESA).
Klepsydra AI has been awarded a contract by ESA together with Frontgrade Gaisler. Generic image: NASA's Marshall Space Flight Center via flickr/CC BY-NC 2.0 DEED
© NASA's Marshall Space Flight Center via flickr/CC BY-NC 2.0
The European Space Agency ESA has awarded a contract to Klepsydra AI from Volketswil in the canton of Zurich and Frontgrade Gaisler. Klepsydra’s artificial intelligence (AI) solution will be applied to Frontgrade Gaisler's GR740 and NOEL-V processors, which can function in harsh environments, making them ideal for applications in space, according to a statement. By successfully porting Klepsydra AI software to Frontgrade Gaisler's space-qualified GR740 and GR765 microprocessors, the artificial intelligence algorithms can enhance the versatility of the microprocessors and enable a wide range of AI-driven tasks in space, such as remote sensing, Earth observation, data analysis, autonomous decision-making and anomaly detection.
“We are honoured to have been entrusted this contract by ESA, which underscores the potential of our AI software in the field of space applications,” commented Pablo Ghiglino, CEO at Klepsydra, in the statement. “Our goal is to make space missions more efficient and effective by harnessing the power of artificial intelligence. We are excited to work with ESA and Frontgrade Gaisler in this pioneering project.”
“Our dedication to providing reliable, radiation-hardened microprocessors for space applications aligns perfectly with the goals of this project,” said Sandi Habinc, General Manager at Frontgrade Gaisler. “Integrating Klepsydra AI’s software with our GR740 and GR765 rad-hard microprocessors will introduce new capabilities for space missions and further our commitment to space exploration for the good of humanity.”
Klepsydra AI and Frontgrade Gaisler bring AI to space
The software company Klepsydra AI and Frontgrade Gaisler from Gothenburg have announced a collaboration to adapt the microprocessors used in space missions. The initiative is part of a contract awarded by the European Space Agency (ESA).www.s-ge.com
1 month ago
View attachment 68669
Howdy All,
So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).
I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.
As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.
As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.
I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.
Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".
About Rebecca | Rebecca
About Rebecca | Rebecca
Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA | Projekt | Fact Sheet | HORIZON | CORDIS | European Commission
REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...
Last edited:
Labsy
Regular
Interesting
... Dolci has emerged... Looking for a buy back at 25 cents? Your tax bill must be very big.... I could do you a favour and take a massive dump on this, as you do and then buy back after smoke and mirrors, but I'd rather continue to accumulate... Picked up more today... Climbing....climbing...air is getting thin up here....
Interesting… you loose confidence because they said literally “come on guys.. it was an exhibition where companies could check out our amazing technology.. we took some pictures so what? It’s not our fault you interpret everything aa “akida inside” …I understood to take the dot joining on here with a pinch of salt !
But now cant even rely on whats released on BrainChip comms .... loosing confidence
View attachment 76121
Relax … there are so many other partners and so on… and who knows.. maybe they will come on board… “currently”…
hmmm maybe you missed the Linked post from their official account
“come on guys.. it was an exhibition where companies could check out our amazing technology.. we took some pictures so what? It’s not our fault you interpret everything aa “akida inside”. != "We welcomed partners like PROPHESEE, Edge Impluse, and RTX..."
sleepymonk
Regular
must be ur day today, I am still waiting for his reply I sent on the 9th/Jan.I understood to take the dot joining on here with a pinch of salt !
But now cant even rely on whats released on BrainChip comms .... loosing confidence
View attachment 76121
AARONASX
Holding onto what I've got
I cannot say for sure just pure speculation like everything else.... Tony's statement was NO partnership between RTX and Brainchip.....that does not mean they are not a customer via a different channel, eg Megachips, etc. maybe still a end user. IMO
So typical of the IR (or lack thereof) from BRN. Firstly a post to say we are partners, then it's deleted, then confirmation from Tony Dawe that we are not commercial partners with RTX. Seriously this bunch, could not organise a p*ss up a brewery. Very disappointing from BRN, but I can't say I'm surprised.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Howdy All,
So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).
I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.
As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.
As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.
I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.
Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".
View attachment 76117
View attachment 76110
View attachment 76119
View attachment 76115
View attachment 76116
About Rebecca | Rebecca
www.rebecca-chip.eu
View attachment 76120
About Rebecca | Rebecca
Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA | Projekt | Fact Sheet | HORIZON | CORDIS | European Commission
REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...cordis.europa.eu
To aid in understanding the potential connections proposed above....
MDhere
Top 20
Nothing short of amazing bravo! And that's a wrap.Howdy All,
So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).
I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.
As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.
As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.
I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.
Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".
View attachment 76117
View attachment 76110
View attachment 76119
View attachment 76115
View attachment 76116
About Rebecca | Rebecca
View attachment 76120
About Rebecca | Rebecca
Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA | Projekt | Fact Sheet | HORIZON | CORDIS | European Commission
REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...
Hi Bravo,Howdy All,
So I was just having bit of a poke around to see if I could find out a bit more about the Klepsydra and Frontgrade Gaisler collaboration as per the above post and I stumbled on a Klepsydra Linkedin post from a couple of months ago which mentioned the "REBECCA Project" (see below).
I did a Google search and found the website for the REBECCA Project, which sure enough mentions neuromorphic computing.
As you can see from the screen shots from the website, the REBECCA project is co-funded by the European Union. The aim of the project is to democratize the development of edge AI systems including a hardware and software stack centred around a RISC-V CPU.
As described on the website, it will develop a novel chip that will include a neuromorphic AI accelerator, which you would think would be very likely to be AKIDA, since Frontgrade Gaisler has taken a commercial license for the Akida neural processor IP.
I also looked for further information on the Grant agreement ID: 101097224 and have posted a screen shot of that as well. Total cost for the project is €8 498 328,59 (with EU contribution comprising €2 744 319,72)!!!! The end date is set at 31 July 2026.
Clearly this is a very big deal because it says on the Cordis summary that the "project will contribute to realising business and societal opportunities by validating and demonstrating its approach on real-world use cases and benchmarks based on real-world applications from the smart appliances, energy generation, infrastructure inspection, avionics, automotive and health domains".
View attachment 76117
View attachment 76110
View attachment 76119
View attachment 76115
View attachment 76116
About Rebecca | Rebecca
View attachment 76120
About Rebecca | Rebecca
Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI | REBECCA | Projekt | Fact Sheet | HORIZON | CORDIS | European Commission
REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a)...
Klepsydra may well turn out to be Mrs Danvers to Akida's Mrs de Winter2 before too much water has flowed under the bridge.
https://klepsydra.com/ai-for-space/
What are the challenges for onboard artificial intelligence?
There are several challenges for implementing onboard AI:- Limited computational resources: Onboard AI systems often operate on devices with limited computing power, such as edge devices or embedded systems. This poses challenges in running complex AI algorithms and models that require significant computational resources. Optimising AI algorithms to work efficiently within these constraints is a challenge.
- Power consumption: AI algorithms, especially deep learning models, can be computationally intensive and consume significant power. Onboard systems often have limited power sources which require efficient power management strategies to ensure optimal performance without quickly draining the power source.
https://klepsydra.com/klepsydra-ai-technology-evaluation-space-use/
Future missions such as Active Debris Removal will rely on novel high-performance avionics to support image processing and Artificial Intelligence algorithms with large workloads. Similar requirements come from Earth Observation applications, where data processing on-board can be critical in order to provide real-time reliable information to Earth. This new scenario has brought new challenges with it: low determinism, excessive power needs, data losses and large response latency.
In this project, Klepsydra AI is used as a novel approach to on-board artificial intelligence. It provides a very sophisticated threading model combination of pipeline and parallelization techniques applied to deep neural networks, making AI applications much more efficient and reliable. This new approach has been validated with several DNN models and two different computer architectures. The results show that the data processing rate and power saving of the applications increase substantially with respect to standard AI solutions.
https://klepsydra.com/what-is-earth-observation/
What does Klepsydra do regarding Earth Observation?
Earth Observation (EO) satellites require a suite of applications to perform their mission successfully. The most critical application is data acquisition and processing, which includes collecting and processing data obtained by the satellite’s sensors.SAR sensors are a type of active remote sensing system that uses radio waves to produce images of the Earth’s surface. On the other hand, Hyperspectral cameras are imaging devices that can capture data across a broad range of electromagnetic wavelengths, including both visible and non-visible parts of the spectrum. Compared to traditional cameras that capture data across only three color channels (red, green, and blue), Hyperspectral cameras can provide a more detailed and
comprehensive view of a scene.
Klepsydra enables the processing of large volumes of data produced by SAR sensors and Hyperspectral cameras used in Earth observation satellites, using artificial intelligence techniques.
Klepsydra is software (they also claim some snazzy models (supra), but it runs on a computer:
https://klepsydra.com/ai-on-the-edge/
No to be honest I didn’t missed it. You have to read it differently in terms of the comma placement; then it makes more sense. “And RTX…” – there are two commas, one before and one after. So, the sentences are not directly connected and should be understood separately.
I understood to take the dot joining on here with a pinch of salt !
But now cant even rely on whats released on BrainChip comms .... loosing confidence
View attachment 76121
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