BRN Discussion Ongoing

[Esq.111]

Chippers ,

Just came upon this.....

Bit of a looksee on the AMG 2025.



Regards,
Esq.

 

[Pom down under]

Surely we are due something soon. Feels like the AI revolution is passing us bye.

 

[yogi]

Neuromorphic intermediate representation: A unified instruction set for… | Jason Eshraghian

Our work on the Neuromorphic Intermediate Representation is now in Nature Communications. Jens Egholm Pedersen started this monster project at the 2023…

www.linkedin.com

 

[Pom down under]

The market does not understand the significance of the TCS/Intel collaborations with Brainchip. Throw in an Arm collaboration for a helping hand . Going to be huge. Those Indians know their Tech!

 

[Tothemoon24]

Hey Mercedes, what about a pay Brainchip technology..

These days, we all use our smartphones to make fast and convenient payments. So why not put similar technology into the car?

Mercedes pay does just that. This platform enables payments for goods and services via the infotainment system, such as subscriptions to Digital Extras, refuelling, parking, and EV charging. Let’s take refuelling as an example: by using the in-car payment function, there’s no need to go into the shop or pay by card at the pump. These digital transactions require two-factor authentication, either via a PIN or scanning a QR code on an additional mobile device, such as a smartphone.

Mercedes pay+ adds another layer of simplicity. With this system, customers can authenticate payments using only the fingerprint sensor integrated into the MBUX infotainment system. What’s more, #MercedesBenz is the world’s first manufacturer to use Delegated Authentication and Network Token technology by Mastercard and Visa at the point of sale, enabling fast, secure and seamless transactions. Mercedes pay+ is live in Germany and is currently being rolled out to other markets in Europe.

This is time-saving software at its finest, demonstrating how Mercedes-Benz offers a best-in-class customer experience.

➡ What do you use Mercedes pay for? Let me know in the comments below.

 

[Fullmoonfever]

The QV SBIR stage 1 for Cyber threat-detection using neuromorphic computing was due to conclude in April 2024.

QV has presumably submitted their Loihi/Akida comparison, and probably had a footnote about TeNNs?

So why has DoE now relased a RFI for AI for science, security and technology?

Again, TeNNs software is the fastest route to deployment, and with cybersecurity immediately is too late. Certainly can't wait for Intel to build their 18A factory.

On QV @Diogenese and in particular software, I would suggest looking at these previous posts. First one is about a new company set up in Japan by QV called Quantum Software last year.

This website goes into more explanation on the product and architecture and where we sit in the system integration flow.

Quantum Software International, Japan

Quantum Ventura Inc specializes in AI/Machine Learning, Cyber & Mobile Security, Big Data Analytics. Quantum Research Labs undertakes advanced system research.

www.quantumsoftware.jp

BRN Discussion Ongoing

Could be the CyberNeuro-RT now live and available :D 🚀 🔥 You'd like to think if selling it, that they will need to be sourcing the 2 "neuromorphic offerings" via direct eg BRN & Intel, via their own licence or via an existing licensee eg Megachips or Renesas...

thestockexchange.com.au

BRN Discussion Ongoing

Maybe it deserves a half a cigar 🚬because at the 17.20 minute mark of the podcast with Sean Hehir, Dr Jason Eshraighan states: "One thing that will probably come out at the same time as this podcast getting released is a Matrix Multiply Free Language Model so, yeah, I'm very excited to see how...

thestockexchange.com.au

These next couple are from the CSIAC journal article recently released which covers off the work done with Akida and Loihi on the cyber front.

BRN Discussion Ongoing

News release in US https://www.businesswire.com/news/home/20240909268295/en/Tech-Alert-BrainChip-Identifies-Advantages-to-Radar-and-Lidar-Systems-Leveraging-Event-Based-AI

thestockexchange.com.au

BRN Discussion Ongoing

News release in US https://www.businesswire.com/news/home/20240909268295/en/Tech-Alert-BrainChip-Identifies-Advantages-to-Radar-and-Lidar-Systems-Leveraging-Event-Based-AI

thestockexchange.com.au

Article now on the CSIAC site.

Low-Power Cybersecurity Attack Detection Using Deep Learning on Neuromorphic Technologies – CSIAC

csiac.org

 

[Frangipani]

Hi @Frangipani ,

The excerpt I posted immediately below the post from which you inferred a suggested Akida link refers to an algorithm.

Further on, that article continues:

In artificial intelligence, machine learning is a way that computers learn from data—lots of data—to identify patterns and make decisions or draw conclusions.

This automated process can be powerful when the patterns might not be obvious to human researchers looking at the same data, which is typical for large, complex data sets such as those involved in imaging and spectral analysis.

In MOMA's case, researchers have been collecting laboratory data for more than a decade, according to Victoria Da Poian, a data scientist at NASA Goddard who co-leads development of the machine learning algorithm. The scientists train the algorithm by feeding it examples of substances that may be found on Mars and labeling what they are. The algorithm will then use the MOMA data as input and output predictions of the chemical composition of the studied sample, based on its training.

"The more we do to optimize the data analysis, the more information and time scientists will have to interpret the data," Da Poian said. "This way, we can react quickly to results and plan next steps as if we are there with the rover, much faster than we previously would have."

The collected data will be used in building various AI models which can be used by the AI algorithm for classification or "labelling" as well as for navigation. If NASA are using a conventional CNN algorithm, this will be a significant drain on their elctricity supply.

BRN has been engaged with NASA for some years. It would be surprising if Victoria Da Poian were to be unaware of Akida. In particular NASA would have been aware of TeNNs for a couple of years.

The rover must navigate autonomously, and Akida has famously been found to enable an increase in cruising speed of such rovers due to its real time processing capabilities. The rover is said to have a range of several km.

While Akida has been radhardened by Vorago, there is nothing to suggest the Akida SoC is incorporated in the rover. Indeed, as you point out, time would be against this possibility ... but next time?

Sean Hehir recently acknowledged that BRN now has an additional product line for algorithms.

Rosalind is not due to be launched til 2028, so there is time to incorporate TeNNs/Akida 2 algorithms in the Mars rover. But who knows? It may already be there.

FN:
https://www.esa.int/Science_Explora...th_of_ESA_s_ExoMars_Rosalind_Franklin_mission

FAQ: The ‘rebirth’ of ESA’s ExoMars Rosalind Franklin mission​

13/03/2023
...
There is a plan to re-use in the new Lander the qualified onboard computer, the radar doppler altimeter and the parachute system that had been developed for the previous version of the mission.
...

This refers to the lander module, but the rover will also have a "qualified" processor which will not be readily replaced. However:

Any obsolescence of parts will be taken care of with appropriate refurbishments during the development of the ExoMars Rosalind Franklin Mission.

Hi Diogenese,

Victoria da Poian is a NASA Visiting Scientist, whose actual employer is a company called Microtel LLC, specialising in software and systems engineering applications for Earth science and space missions, that was acquired by Tyto Athene in April.

https://science.gsfc.nasa.gov/sci/bio/victoria.dapoian

Tyto Athene Acquires Microtel to Expand Space System Capabilities; Dennis Kelly Quoted

Tyto Athene Acquires Microtel to Expand Space System Capabilities

www.govconwire.com

The new ML algorithm you referred to was developed specifically for data collected, analysed and sent back to Earth (!) by an instrument aboard the Rosalind Franklin rover, the Mars Organic Molecule Analyzer (MOMA) - said algorithm will be used by researchers on Earth to study the data and decide about the next steps, not by the instrument autonomously.

And it has nothing to do with Rosalind Franklin’s autonomous navigation system at all.

NASA Trains Machine Learning Algorithm for Mars Sample Analysis - NASA

When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short

www.nasa.gov

Besides, there is no indication that Victoria Da Poian has been working with SNNs and/or TENNs in recent years.
You should also ask yourself the following: If she had been blown away by Akida technology or TENNs, why would she and her colleagues have set up two open-science ML challenges in 2022 and published a paper about the results in 2023 (published in early 2024), declaring CNN solutions the winning entries in both cases?

Leveraging open science machine learning challenges for data constrained planetary mission instruments

Abstract. We set up two open-science machine learning (ML) challenges focusing on building models to automatically analyse mass spectrometry (MS) data for

academic.oup.com

Furthermore, here is a link to the agreement signed by ESA and NASA in May:

https://www.nasa.gov/news-release/nasa-european-space-agency-unite-to-land-europes-rover-on-mars/

“With this memorandum of understanding, the NASA Launch Services Program will procure a U.S. commercial launch provider for the Rosalind Franklin rover. The agency will also provide heater units and elements of the propulsion system needed to land on Mars.”


All available evidence points to NASA having nothing to do with the ESA Mars rover’s navigation system.


This would highly likely be in the sole hands of Airbus Defence & Space that designed and built the rover now known as the ExoMars Rosalind Franklin rover in a cleanroom at its UK facility in Stevenage, before it was transferred to Italy in preparation for its planned launch in September 2022 from Baikonur, the spaceport operated by Russia within Kazakhstan.

While the Airbus team from Stavanage recently tested two of their rovers in a nearby quarry, including one similar to Rosalind Franklin nicknamed Charlie that - according to the following ESA blog article - was used “to test a new navigation system that could speed up rover missions on the Moon and Mars. This capability could lead to improved performance for ESA’s ExoMars Rosalind Franklin’s rover mission, which is expected to launch in 2028.”

https://blogs.esa.int/to-mars-and-back/2024/09/06/rovers-lightsabres-and-a-piglet/

… I doubt we are involved here.

Listen to this June 2023 presentation by Airbus Space Robotics Tech Lead Piotr Weclewski from 20:50 min, when he mentions the effort of validating new approaches such as neuromorphic or bio-inspired computing (that are generally of great interest to Airbus): “We need to bring it slowly, we need to bring it step by step to the picture. Why? Because of the criticality of the missions."

He goes on to emphasise that sending something not only to low-Earth orbit, but to the Moon, dramatically increases the complexity and the risk of radiation mitigation, thermal aspects etc.





So disruptive approaches such as the implementation of neuromorphic technology need to be carefully validated first in order not to endanger critical missions. That definitely sounds to me as if a trip to the Moon will be a first step only after successful validation of this new technology in Low-Earth orbit (LEO), and that a mission to Mars, which is even more complex, will remain a long-term goal for now.

Here is another article on the quarry testing conducted earlier this month that quotes Airbus rover program manager Chris Draper, confirming that the Moon is the initial target for their rovers being tested these days:

The step-by-step validation approach ties in with the new ESA R&T program referred to as NEURAVIS, which - as we found out in July - will be conducted by a consortium consisting of Airbus, BrainChip, Frontgrade Gaisler and Neurobus.

This must have been the relevant tender that was awarded to them, titled

EVALUATION OF NEUROMORPHIC COMPUTING TECHNOLOGIES FOR VERY LOW POWER AI/ML APPLICATIONS - EXPRO PLUS​

https://esastar-publication-ext.sso.esa.int/ESATenderActions/details/60869+

All this information combined with last week’s LinkedIn comments by both Alf Kuchenbuch and Laurent Hili (that I had quoted in my previous post, but which you didn’t address at all) strongly suggest to me we are not/will not yet be involved in the Rosalind Franklin Rover Mars mission. And IMO that includes TENNs software as a separate offering. Why else would Alf Kuchenbuch have referred to his “dream” of Laurent Hili, Sandi Habinc and Sean Hehir collaborating on providing Rosalind’s “children” with “a neuromorphic brain for better perception and autonomy”? (“That is my dream.”)

As the BrainChip staff member primarily dealing with our company’s space industry partners, he’d know exactly whether or not TENNs were currently being tested by Airbus in order to improve Rosalind Franklin’s navigation system. If that were indeed the case, why would he then refer to a new generation of rovers only and not to the Rosalind Franklin rover itself?
TENNs will first need to be validated, too.

So to sum it up, I predict there will be validation of our technology in LEO satellites first, before ESA will consider implementing it on the more critical and complex Lunar or even Martian missions.

 

[HopalongPetrovski]

Afternoon Chippers ,

Cheers all, for all the sleuthing, must be getting close to something substantial landing in our account....

Afternoon vitamin - quinne intake below, pimped with a twizzle stick.



Regards,
Esq.

I find a healthy dash of Gin with it helps keep the old malaria at bay. What!

 

[Diogenese]

I find a healthy dash of Gin with it helps keep the old malaria at bay. What!

Mate of mine in New Guinea used to drink a bottle of rum before bed - first half of the night, he was too drunk to notice the mosquitos - second half the mosquitos were too drunk to notice him.

 

[manny100]

Hi Diogenese,

Victoria da Poian is a NASA Visiting Scientist, whose actual employer is a company called Microtel LLC, specialising in software and systems engineering applications for Earth science and space missions, that was acquired by Tyto Athene in April.

https://science.gsfc.nasa.gov/sci/bio/victoria.dapoian

View attachment 69367
View attachment 69368

Tyto Athene Acquires Microtel to Expand Space System Capabilities; Dennis Kelly Quoted

Tyto Athene Acquires Microtel to Expand Space System Capabilities

www.govconwire.com

The new ML algorithm you referred to was developed specifically for data collected, analysed and sent back to Earth (!) by an instrument aboard the Rosalind Franklin rover, the Mars Organic Molecule Analyzer (MOMA) - said algorithm will be used by researchers on Earth to study the data and decide about the next steps, not by the instrument autonomously.

And it has nothing to do with Rosalind Franklin’s autonomous navigation system at all.

NASA Trains Machine Learning Algorithm for Mars Sample Analysis - NASA

When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short

www.nasa.gov

View attachment 69369

View attachment 69370


Besides, there is no indication that Victoria Da Poian has been working with SNNs and/or TENNs in recent years.
You should also ask yourself the following: If she had been blown away by Akida technology or TENNs, why would she and her colleagues have set up two open-science ML challenges in 2022 and published a paper about the results in 2023 (published in early 2024), declaring CNN solutions the winning entries in both cases?

Leveraging open science machine learning challenges for data constrained planetary mission instruments

Abstract. We set up two open-science machine learning (ML) challenges focusing on building models to automatically analyse mass spectrometry (MS) data for

academic.oup.com

View attachment 69377



Furthermore, here is a link to the agreement signed by ESA and NASA in May:

https://www.nasa.gov/news-release/nasa-european-space-agency-unite-to-land-europes-rover-on-mars/

“With this memorandum of understanding, the NASA Launch Services Program will procure a U.S. commercial launch provider for the Rosalind Franklin rover. The agency will also provide heater units and elements of the propulsion system needed to land on Mars.”


All available evidence points to NASA having nothing to do with the ESA Mars rover’s navigation system.


This would highly likely be in the sole hands of Airbus Defence & Space that designed and built the rover now known as the ExoMars Rosalind Franklin rover in a cleanroom at its UK facility in Stevenage, before it was transferred to Italy in preparation for its planned launch in September 2022 from Baikonur, the spaceport operated by Russia within Kazakhstan.

While the Airbus team from Stavanage recently tested two of their rovers in a nearby quarry, including one similar to Rosalind Franklin nicknamed Charlie that - according to the following ESA blog article - was used “to test a new navigation system that could speed up rover missions on the Moon and Mars. This capability could lead to improved performance for ESA’s ExoMars Rosalind Franklin’s rover mission, which is expected to launch in 2028.”

https://blogs.esa.int/to-mars-and-back/2024/09/06/rovers-lightsabres-and-a-piglet/


View attachment 69378

… I doubt we are involved here.

Listen to this June 2023 presentation by Airbus Space Robotics Tech Lead Piotr Weclewski from 20:50 min, when he mentions the effort of validating new approaches such as neuromorphic or bio-inspired computing (that are generally of great interest to Airbus): “We need to bring it slowly, we need to bring it step by step to the picture. Why? Because of the criticality of the missions."

He goes on to emphasise that sending something not only to low-Earth orbit, but to the Moon, dramatically increases the complexity and the risk of radiation mitigation, thermal aspects etc.





So disruptive approaches such as the implementation of neuromorphic technology need to be carefully validated first in order not to endanger critical missions. That definitely sounds to me as if a trip to the Moon will be a first step only after successful validation of this new technology in Low-Earth orbit (LEO), and that a mission to Mars, which is even more complex, will remain a long-term goal for now.

Here is another article on the quarry testing conducted earlier this month that quotes Airbus rover program manager Chris Draper, confirming that the Moon is the initial target for their rovers being tested these days:

View attachment 69380


The step-by-step validation approach ties in with the new ESA R&T program referred to as NEURAVIS, which - as we found out in July - will be conducted by a consortium consisting of Airbus, BrainChip, Frontgrade Gaisler and Neurobus.

This must have been the relevant tender that was awarded to them, titled

EVALUATION OF NEUROMORPHIC COMPUTING TECHNOLOGIES FOR VERY LOW POWER AI/ML APPLICATIONS - EXPRO PLUS​

https://esastar-publication-ext.sso.esa.int/ESATenderActions/details/60869+


View attachment 69375

View attachment 69374


All this information combined with last week’s LinkedIn comments by both Alf Kuchenbuch and Laurent Hili (that I had quoted in my previous post, but which you didn’t address at all) strongly suggest to me we are not/will not yet be involved in the Rosalind Franklin Rover Mars mission. And IMO that includes TENNs software as a separate offering. Why else would Alf Kuchenbuch have referred to his “dream” of Laurent Hili, Sandi Habinc and Sean Hehir collaborating on providing Rosalind’s “children” with “a neuromorphic brain for better perception and autonomy”? (“That is my dream.”)

As the BrainChip staff member primarily dealing with our company’s space industry partners, he’d know exactly whether or not TENNs were currently being tested by Airbus in order to improve Rosalind Franklin’s navigation system. If that were indeed the case, why would he then refer to a new generation of rovers only and not to the Rosalind Franklin rover itself?
TENNs will first need to be validated, too.

So to sum it up, I predict there will be validation of our technology in LEO satellites first, before ESA will consider implementing it on the more critical and complex Lunar or even Martian missions.

Episode 6 Quarterly Sean said we have engagements on all of AKIDA1000, 1500 and GEN 2+TENNs. ESA awarded Airbus Neuravis and AKIDA 1500......
I guess we know who one of the engagements is with.

 

[Frangipani]

The QV SBIR stage 1 for Cyber threat-detection using neuromorphic computing was due to conclude in April 2024.

QV has presumably submitted their Loihi/Akida comparison, and probably had a footnote about TeNNs?

So why has DoE now relased a RFI for AI for science, security and technology?

Again, TeNNs software is the fastest route to deployment, and with cybersecurity, immediately is too late. Certainly can't wait for Intel to build their 18A factory.

On QV @Diogenese and in particular software, I would suggest looking at these previous posts. First one is about a new company set up in Japan by QV called Quantum Software last year.

This website goes into more explanation on the product and architecture and where we sit in the system integration flow.

Quantum Software International, Japan

Quantum Ventura Inc specializes in AI/Machine Learning, Cyber & Mobile Security, Big Data Analytics. Quantum Research Labs undertakes advanced system research.

www.quantumsoftware.jp

BRN Discussion Ongoing

Could be the CyberNeuro-RT now live and available :D 🚀 🔥 You'd like to think if selling it, that they will need to be sourcing the 2 "neuromorphic offerings" via direct eg BRN & Intel, via their own licence or via an existing licensee eg Megachips or Renesas...

thestockexchange.com.au

BRN Discussion Ongoing

Maybe it deserves a half a cigar 🚬because at the 17.20 minute mark of the podcast with Sean Hehir, Dr Jason Eshraighan states: "One thing that will probably come out at the same time as this podcast getting released is a Matrix Multiply Free Language Model so, yeah, I'm very excited to see how...

thestockexchange.com.au

These next couple are from the CSIAC journal article recently released which covers off the work done with Akida and Loihi on the cyber front.

BRN Discussion Ongoing

News release in US https://www.businesswire.com/news/home/20240909268295/en/Tech-Alert-BrainChip-Identifies-Advantages-to-Radar-and-Lidar-Systems-Leveraging-Event-Based-AI

thestockexchange.com.au

BRN Discussion Ongoing

News release in US https://www.businesswire.com/news/home/20240909268295/en/Tech-Alert-BrainChip-Identifies-Advantages-to-Radar-and-Lidar-Systems-Leveraging-Event-Based-AI

thestockexchange.com.au

Article now on the CSIAC site.

Low-Power Cybersecurity Attack Detection Using Deep Learning on Neuromorphic Technologies – CSIAC

csiac.org

Hello again, Diogenese,

you seem to be seeing TENNs everywhere these days, which for now appears to be more wishful thinking on your side rather than mirror the actual reality.


@Fullmoonfever already referred to the CSIAC Journal article shared by Quantum Ventura on LinkedIn last week that describes the SBIR II phase of the Cyber-NeuroRT project supported by the DoE, which was awarded in April 2022 and concluded in April 2024. SBIR I was both awarded and concluded in 2021.

Firm | SBIR

www.sbir.gov

---

---

https://csiac.org/wp-content/uploads/2024/09/CSIAC_Journal_2024_Vol_8_No_2.pdf

As you can see for yourself, there is neither mention of Akida 2.0 nor TENNs in this very recent article describing the research conducted in the SBIR II phase that ended in April 2024 - there are merely several references to the physical AKD1000 chip Quantum Ventura had purchased in form of an Akida PCIe Board (as we can tell from a 2023 poster) some time after the conclusion of SBIR I.

During the SBIR I phase, Quantum Ventura‘s researchers had used Akida merely in simulation, as we already found out from their 2022 paper titled Cyber-Neuro RT: Real-Time Neuromorphic Cybersecurity:

https://www.sciencedirect.com/science/article/pii/S1877050922017938?ref=pdf_download&fr=RR-2&rr=8c48d2b37ec935fd

---

To be continued…

 

[Bravo]

Hello again, Diogenese,

you seem to be seeing TENNs everywhere these days, which for now appears to be more wishful thinking on your side rather than mirror the actual reality.


@Fullmoonfever already referred to the CSIAC Journal article shared by Quantum Ventura on LinkedIn last week that describes the SBIR II phase of the Cyber-NeuroRT project supported by the DoE, which was awarded in April 2022 and concluded in April 2024. SBIR I was both awarded and concluded in 2021.

Firm | SBIR

www.sbir.gov

View attachment 69390
View attachment 69391

---

View attachment 69386

View attachment 69383

---

https://csiac.org/wp-content/uploads/2024/09/CSIAC_Journal_2024_Vol_8_No_2.pdf

View attachment 69387

View attachment 69388
View attachment 69389


As you can see for yourself, there is neither mention of Akida 2.0 nor TENNs in this very recent article describing the research conducted in the SBIR II phase that ended in April 2024 - there are merely several references to the physical AKD1000 chip Quantum Ventura had purchased in form of an Akida PCIe Board (as we can tell from a 2023 poster) some time after the conclusion of SBIR I.


View attachment 69393


During the SBIR I phase, Quantum Ventura‘s researchers had used Akida merely in simulation, as we already found out from their 2022 paper titled Cyber-Neuro RT: Real-Time Neuromorphic Cybersecurity:

https://www.sciencedirect.com/science/article/pii/S1877050922017938?ref=pdf_download&fr=RR-2&rr=8c48d2b37ec935fd

View attachment 69395

---

View attachment 69394


To be continued…

Wow! You really don’t know how to be respectful to others in your exchanges do you? It’s a real pity, because you seem very intelligent.

 

[Fullmoonfever]

Quite like what Neurobus are promoting.

We know they used Akida 1.0 for a recent ship detection from satellites study presenting at Spaice tomorrow.

Agenda – SPAICE

spaice.esa.int

https://neurobus.space/products

Neuromorphic System for
In-orbit SSA and services.
Combination of Processors, Cameras and SNN
Integrated into a Payload

Features

Space Surveillance Awareness (SSA)
Precision and efficiency are paramount in space surveillance and awareness (SSA). Our neuromorphic computing solutions are uniquely positioned to revolutionize this field by leveraging their distinct ability to exploit non-linear signal-noise relationships. This capability ensures data is captured at optimal signal-to-noise times, enhancing SSA precision and efficiency in tracking objects in space. Applications include:
• Space Debris Management
• Collision Risk Mitigation
In Orbit Services
Rendezvous, Docking, and Proximity Operations (RPOD) refers to spacecraft intentionally maneuvering to dock or operate near a target space object. Using neuromorphic computing for RPOD enhances the efficiency and safety of tasks through parallel data processing. Its spike-based signaling increases communication robustness and noise tolerance, which is essential for the dynamic and often unpredictable space environment. Its autonomous capabilities reduce the need for constant ground-based intervention, ensuring more reliable and precise execution of complex RPOD maneuvers.

Real-Time Space Navigation System
Our Advanced Real-Time Space Navigation System is revolutionizing space operations and exploration by merging the cutting-edge capabilities of neuromorphic computing with enhanced Global Navigation Satellite Systems (GNSS). This unified technology platform not only boosts the precision, efficiency, and autonomy of spacecraft navigation but also ensures safer and more reliable missions, setting the stage for future breakthroughs in space travel.

Like Our Products?

 

[Diogenese]

Wow! You really don’t know how to be respectful to others in your exchanges do you? It’s a real pity, because you seem very intelligent.

View attachment 69404

Franni started this quixotic windmill tilting pseudo-iconoclastic didactic tsunami when she got the wrong end of the stick from my whimsical post observing that NASA were using ML in relation to the Rosalind Franklin rover mission, so it's really a straw man argument.

I only became aware of it when someone posted a reply, because I have her on ignore.

 

[CHIPS]

Hello again, Diogenese,

you seem to be seeing TENNs everywhere these days, which for now appears to be more wishful thinking on your side rather than mirror the actual reality.


@Fullmoonfever already referred to the CSIAC Journal article shared by Quantum Ventura on LinkedIn last week that describes the SBIR II phase of the Cyber-NeuroRT project supported by the DoE, which was awarded in April 2022 and concluded in April 2024. SBIR I was both awarded and concluded in 2021.

Firm | SBIR

www.sbir.gov

View attachment 69390
View attachment 69391

---

View attachment 69386

View attachment 69383

---

https://csiac.org/wp-content/uploads/2024/09/CSIAC_Journal_2024_Vol_8_No_2.pdf

View attachment 69387

View attachment 69388
View attachment 69389


As you can see for yourself, there is neither mention of Akida 2.0 nor TENNs in this very recent article describing the research conducted in the SBIR II phase that ended in April 2024 - there are merely several references to the physical AKD1000 chip Quantum Ventura had purchased in form of an Akida PCIe Board (as we can tell from a 2023 poster) some time after the conclusion of SBIR I.


View attachment 69393


During the SBIR I phase, Quantum Ventura‘s researchers had used Akida merely in simulation, as we already found out from their 2022 paper titled Cyber-Neuro RT: Real-Time Neuromorphic Cybersecurity:

https://www.sciencedirect.com/science/article/pii/S1877050922017938?ref=pdf_download&fr=RR-2&rr=8c48d2b37ec935fd

View attachment 69395

---

View attachment 69394


To be continued…

 

[itsol4605]

View attachment 69407

...hope to run on Intel... Why??

 

[itsol4605]

Top 7 Neuromorphic Computing Companies - Verified Market Research

Top 7 neuromorphic computing companies are Intel Corporation, IBM Corporation, BrainChip Holdings Ltd., Qualcomm Technologies Inc., HP Enterprise, CEA-Leti and General Vision Inc.

www.verifiedmarketresearch.com

Top 7 neuromorphic computing companies shaping future of AI and technology

 

[itsol4605]

Low-power ship detection in satellite images using Neuromorphic hardware​

Gregor Lenz (Neurobus)

Agenda – SPAICE

spaice.esa.int

SPAICE Conference 2024

 

[supersonic001]

Thomas Hülsing on LinkedIn: Top 7 Neuromorphic Computing Companies - Verified Market Research

#Neuromorphic #Computing is an innovative field of technology that seeks to mimic the neural structure and functioning of the human brain to develop advanced…

www.linkedin.com

 

[IloveLamp]

Accelerating RISC-V Processor Verification: A Co-Simulation Strategy – Gaisler Blog