BRN Discussion Ongoing
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FJ-215
Regular
This was Spinal Tap?
Frangipani
Regular
Hi @Bravo,
the statement by Mercedes-Benz that Sally Ward-Foxton quoted in said September 2022 article was plucked straight from the 3 January 2022 VISION EQXX press release (https://media.mbusa.com/releases/re...range-and-efficiency-to-an-entirely-new-level), so it is now almost three years old.
However, that press release is nowhere to be found on the official webpage dedicated to the VISION EQXX (https://group.mercedes-benz.com/innovation/product-innovation/technology/vision-eqxx.html) - surprisingly, there is no reference to neuromorphic computing at all on that page.
This equally holds true for the German version of the VISION EQXX webpage: https://group.mercedes-benz.com/innovation/produktinnovation/technologie/vision-eqxx.html
In fact, there hasn’t been any reference whatsoever to neuromorphic computing on that webpage since April 4, 2022, as I was able to establish thanks to the Wayback Machine (https://web.archive.org - a cool internet archive that I stumbled upon the other day, which allows you to “Explore more than 916 billion web pages saved over time”): I can go back to the German version of that webpage and see that on 1 April 2022, MB still mentioned “Elemente der Benutzeroberfläche unterstützen die nahtlose Interaktion zwischen Fahrer und Fahrzeug. Unter anderem durch Künstliche Intelligenz (KI), die die Funktionsweise des menschlichen Gehirns nachahmt.” (“Elements of the user interface support seamless interaction between driver and vehicle. This includes Artificial Intelligence (AI) which mimics the way the human brain works.”) The webpage’s content was soon after replaced with a new text dated 4 April 2022 that no longer referred to brain-inspired/neuromorphic AI whatsoever. It has since been updated with links to articles about the VISION EQXX’s second and third long distant road trips over 1000 km in June 2022 (Stuttgart to Silverstone) and March 2024 (Riyadh to Dubai).
It is anyone’s guess why MB decided to no longer mention that the keyword spotting in their VISION EQXX concept car had been exceptionally energy-efficient due to it having been implemented on a neuromorphic chip (let alone on which one specifically), although they obviously continue to take great interest in this disruptive tech.
Did they possibly come to realise that it would take much longer to implement neuromorphic technology at scale than originally envisioned? Either from a technical perspective and/or from a legal one (automotive grade ISO certification etc)?
Did they at the time possibly not foresee the growing number of competitors in the neuromorphic space besides BrainChip and Intel that could equally be of interest to them and which they would now first like to explore in depth before making any far-reaching decisions?
I also happened to notice that the reference to the VISION EQXX on https://brainchip.com/markets has been deleted. Thanks to the Wayback Machine, we can tell that this must have happened sometime between mid-July and August 25.
The question is: Why was that reference (consisting of a picture of the MB concept car that we know utilised Akida as well as the relevant press release excerpt) taken down from the BrainChip website?
Doesn’t this strike you as odd, despite the Mercedes logo still being displayed on our landing page under “YOU’RE IN GOOD COMPANY”?
And how about the other points I raised in previous posts, such as
- the word potential in “positioning for a potential project collaboration with Mercedes” showing up in a 2023 BrainChip summer intern’s CV, which - as I already argued in January - suggested to me that Mercedes must have been weighing their options and were evaluating more than one neuromorphic processor last year? (Well, I feel vindicated, since they certainly were, as evidenced by MB’s recent announcement regarding research collaborations with both Intel and other consortium members of the NAOMI4Radar project (based on Loihi 2) on the one hand and with the University of Waterloo on the other hand, where the research will be led by Chris Eliasmith, who is co-founder and CTO of Applied Brain Research, a company that recently released their TSP1, which is “a single-chip solution for time series inference applications like real-time speech recognition (including keyword spotting), realistic text-to-speech synthesis, natural language control interfaces and other advanced sensor fusion applications.”) https://www.appliedbrainresearch.co...lution-for-full-vocabulary-speech-recognition
- the June 2024 MB job listing for a “Working student position in the field of Machine Learning & Neuromorphic Computing from August 2024” that mentioned “working with new chip technologies” and “deployment on neuromorphic chips”?
- the below comment by Magnus Östberg (“We are looking at all suitable solutions!”) after a BRN shareholder had expressed his hope that MB would be implementing BrainChip technology into their vehicles soon?
-
- the fact that we are not the only neuromorphic tech company that has the Mercedes-Benz logo prominently displayed on their website or on public presentation slides?
- the fact that earlier this year Innatera’s CEO Sumeet Kumar got likes on LinkedIn from two of the MB neuromorphic engineers - Gerrit Ecke and Alexander Janisch - after suggesting MB should also talk to Innatera regarding neuromorphic computing?
- the reference to NMC (neuromorphic computing) being considered a “möglicher Lösungsweg” (possible/potential solution) in the recent presentation at Hochschule Karlsruhe by MB engineer Dominik Blum
(https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-439352) and the table with several competing neuromorphic hardware offerings in one of his presentation slides titled “Neuromorphic computing is a young field of research … with a lot of open questions, e.g.:”
And then there is also a recent Master’s thesis sort of connected to MB’s neuromorphic research (more on that later, as posts have a limit of 10 upload images) that strengthens my belief that MB are still weighing their options…
Lots of points raised that cannot simply be glossed over and that suggest to me Mercedes-Benz is nowhere near to implementing neuromorphic technology at scale into serial cars.
Interested to hear your or anyone else’s thoughts on those points.
Frangipani
Regular
Coincidentally, my Wayback Machine research regarding the VISION EQXX also came up with proof that @Krustor wasn’t as familiar with the BrainChip website as he claimed back in March - turns out there had in fact been a link to MB on that BrainChip webpage for over a year prior to his rude reply to me, despite him insisting there hadn’t been any previous link:
Let the facts speak for themselves…
Mt09
Regular
Wouldn’t loose sleep over it..
Hi @Bravo,
the statement by Mercedes-Benz that Sally Ward-Foxton quoted in said September 2022 article was plucked straight from the 3 January 2022 VISION EQXX press release (https://media.mbusa.com/releases/re...range-and-efficiency-to-an-entirely-new-level), so it is now almost three years old.
View attachment 71758
However, that press release is nowhere to be found on the official webpage dedicated to the VISION EQXX (https://group.mercedes-benz.com/innovation/product-innovation/technology/vision-eqxx.html) - surprisingly, there is no reference to neuromorphic computing at all on that page.
This equally holds true for the German version of the VISION EQXX webpage: https://group.mercedes-benz.com/innovation/produktinnovation/technologie/vision-eqxx.html
In fact, there hasn’t been any reference whatsoever to neuromorphic computing on that webpage since April 4, 2022, as I was able to establish thanks to the Wayback Machine (https://web.archive.org - a cool internet archive that I stumbled upon the other day, which allows you to “Explore more than 916 billion web pages saved over time”): I can go back to the German version of that webpage and see that on 1 April 2022, MB still mentioned “Elemente der Benutzeroberfläche unterstützen die nahtlose Interaktion zwischen Fahrer und Fahrzeug. Unter anderem durch Künstliche Intelligenz (KI), die die Funktionsweise des menschlichen Gehirns nachahmt.” (“Elements of the user interface support seamless interaction between driver and vehicle. This includes Artificial Intelligence (AI) which mimics the way the human brain works.”) The webpage’s content was soon after replaced with a new text dated 4 April 2022 that no longer referred to brain-inspired/neuromorphic AI whatsoever. It has since been updated with links to articles about the VISION EQXX’s second and third long distant road trips over 1000 km in June 2022 (Stuttgart to Silverstone) and March 2024 (Riyadh to Dubai).
It is anyone’s guess why MB decided to no longer mention that the keyword spotting in their VISION EQXX concept car had been exceptionally energy-efficient due to it having been implemented on a neuromorphic chip (let alone on which one specifically), although they obviously continue to take great interest in this disruptive tech.
Did they possibly come to realise that it would take much longer to implement neuromorphic technology at scale than originally envisioned? Either from a technical perspective and/or from a legal one (automotive grade ISO certification etc)?
Did they at the time possibly not foresee the growing number of competitors in the neuromorphic space besides BrainChip and Intel that could equally be of interest to them and which they would now first like to explore in depth before making any far-reaching decisions?
I also happened to notice that the reference to the VISION EQXX on https://brainchip.com/markets has been deleted. Thanks to the Wayback Machine, we can tell that this must have happened sometime between mid-July and August 25.
The question is: Why was that reference (consisting of a picture of the MB concept car that we know utilised Akida as well as the relevant press release excerpt) taken down from the BrainChip website?
Doesn’t this strike you as odd, despite the Mercedes logo still being displayed on our landing page under “YOU’RE IN GOOD COMPANY”?
View attachment 71814
View attachment 71815
And how about the other points I raised in previous posts, such as
- the word potential in “positioning for a potential project collaboration with Mercedes” showing up in a 2023 BrainChip summer intern’s CV, which - as I already argued in January - suggested to me that Mercedes must have been weighing their options and were evaluating more than one neuromorphic processor last year? (Well, I feel vindicated, since they certainly were, as evidenced by MB’s recent announcement regarding research collaborations with both Intel and other consortium members of the NAOMI4Radar project (based on Loihi 2) on the one hand and with the University of Waterloo on the other hand, where the research will be led by Chris Eliasmith, who is co-founder and CTO of Applied Brain Research, a company that recently released their TSP1, which is “a single-chip solution for time series inference applications like real-time speech recognition (including keyword spotting), realistic text-to-speech synthesis, natural language control interfaces and other advanced sensor fusion applications.”) https://www.appliedbrainresearch.co...lution-for-full-vocabulary-speech-recognition
- the June 2024 MB job listing for a “Working student position in the field of Machine Learning & Neuromorphic Computing from August 2024” that mentioned “working with new chip technologies” and “deployment on neuromorphic chips”?
- the below comment by Magnus Östberg (“We are looking at all suitable solutions!”) after a BRN shareholder had expressed his hope that MB would be implementing BrainChip technology into their vehicles soon?
- View attachment 71816
- the fact that we are not the only neuromorphic tech company that has the Mercedes-Benz logo prominently displayed on their website or on public presentation slides?
View attachment 71817
View attachment 71818
View attachment 71824
- the fact that earlier this year Innatera’s CEO Sumeet Kumar got likes on LinkedIn from two of the MB neuromorphic engineers - Gerrit Ecke and Alexander Janisch - after suggesting MB should also talk to Innatera regarding neuromorphic computing?
View attachment 71822
- the reference to NMC (neuromorphic computing) being considered a “möglicher Lösungsweg” (possible/potential solution) in the recent presentation at Hochschule Karlsruhe by MB engineer Dominik Blum
(https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-439352) and the table with several competing neuromorphic hardware offerings in one of his presentation slides titled “Neuromorphic computing is a young field of research … with a lot of open questions, e.g.:”
And then there is also a recent Master’s thesis sort of connected to MB’s neuromorphic research (more on that later, as posts have a limit of 10 upload images) that strengthens my belief that MB are still weighing their options…
Lots of points raised that cannot simply be glossed over and that suggest to me Mercedes-Benz is nowhere near to implementing neuromorphic technology at scale into serial cars.
Interested to hear your or anyone else’s thoughts on those points.
Excellent research !...all I would say is, yes, of course Mercedes Benz are testing every available ground-breaking technology, and yes we are still engaged
jtardif999
Regular
Sean are we there yet? Are we there yet Sean? Hey Sean, are we there yet?
Hi @Bravo,
the statement by Mercedes-Benz that Sally Ward-Foxton quoted in said September 2022 article was plucked straight from the 3 January 2022 VISION EQXX press release (https://media.mbusa.com/releases/re...range-and-efficiency-to-an-entirely-new-level), so it is now almost three years old.
View attachment 71758
However, that press release is nowhere to be found on the official webpage dedicated to the VISION EQXX (https://group.mercedes-benz.com/innovation/product-innovation/technology/vision-eqxx.html) - surprisingly, there is no reference to neuromorphic computing at all on that page.
This equally holds true for the German version of the VISION EQXX webpage: https://group.mercedes-benz.com/innovation/produktinnovation/technologie/vision-eqxx.html
In fact, there hasn’t been any reference whatsoever to neuromorphic computing on that webpage since April 4, 2022, as I was able to establish thanks to the Wayback Machine (https://web.archive.org - a cool internet archive that I stumbled upon the other day, which allows you to “Explore more than 916 billion web pages saved over time”): I can go back to the German version of that webpage and see that on 1 April 2022, MB still mentioned “Elemente der Benutzeroberfläche unterstützen die nahtlose Interaktion zwischen Fahrer und Fahrzeug. Unter anderem durch Künstliche Intelligenz (KI), die die Funktionsweise des menschlichen Gehirns nachahmt.” (“Elements of the user interface support seamless interaction between driver and vehicle. This includes Artificial Intelligence (AI) which mimics the way the human brain works.”) The webpage’s content was soon after replaced with a new text dated 4 April 2022 that no longer referred to brain-inspired/neuromorphic AI whatsoever. It has since been updated with links to articles about the VISION EQXX’s second and third long distant road trips over 1000 km in June 2022 (Stuttgart to Silverstone) and March 2024 (Riyadh to Dubai).
It is anyone’s guess why MB decided to no longer mention that the keyword spotting in their VISION EQXX concept car had been exceptionally energy-efficient due to it having been implemented on a neuromorphic chip (let alone on which one specifically), although they obviously continue to take great interest in this disruptive tech.
Did they possibly come to realise that it would take much longer to implement neuromorphic technology at scale than originally envisioned? Either from a technical perspective and/or from a legal one (automotive grade ISO certification etc)?
Did they at the time possibly not foresee the growing number of competitors in the neuromorphic space besides BrainChip and Intel that could equally be of interest to them and which they would now first like to explore in depth before making any far-reaching decisions?
I also happened to notice that the reference to the VISION EQXX on https://brainchip.com/markets has been deleted. Thanks to the Wayback Machine, we can tell that this must have happened sometime between mid-July and August 25.
The question is: Why was that reference (consisting of a picture of the MB concept car that we know utilised Akida as well as the relevant press release excerpt) taken down from the BrainChip website?
Doesn’t this strike you as odd, despite the Mercedes logo still being displayed on our landing page under “YOU’RE IN GOOD COMPANY”?
View attachment 71814
View attachment 71815
And how about the other points I raised in previous posts, such as
- the word potential in “positioning for a potential project collaboration with Mercedes” showing up in a 2023 BrainChip summer intern’s CV, which - as I already argued in January - suggested to me that Mercedes must have been weighing their options and were evaluating more than one neuromorphic processor last year? (Well, I feel vindicated, since they certainly were, as evidenced by MB’s recent announcement regarding research collaborations with both Intel and other consortium members of the NAOMI4Radar project (based on Loihi 2) on the one hand and with the University of Waterloo on the other hand, where the research will be led by Chris Eliasmith, who is co-founder and CTO of Applied Brain Research, a company that recently released their TSP1, which is “a single-chip solution for time series inference applications like real-time speech recognition (including keyword spotting), realistic text-to-speech synthesis, natural language control interfaces and other advanced sensor fusion applications.”) https://www.appliedbrainresearch.co...lution-for-full-vocabulary-speech-recognition
- the June 2024 MB job listing for a “Working student position in the field of Machine Learning & Neuromorphic Computing from August 2024” that mentioned “working with new chip technologies” and “deployment on neuromorphic chips”?
- the below comment by Magnus Östberg (“We are looking at all suitable solutions!”) after a BRN shareholder had expressed his hope that MB would be implementing BrainChip technology into their vehicles soon?
- View attachment 71816
- the fact that we are not the only neuromorphic tech company that has the Mercedes-Benz logo prominently displayed on their website or on public presentation slides?
View attachment 71817
View attachment 71818
View attachment 71824
- the fact that earlier this year Innatera’s CEO Sumeet Kumar got likes on LinkedIn from two of the MB neuromorphic engineers - Gerrit Ecke and Alexander Janisch - after suggesting MB should also talk to Innatera regarding neuromorphic computing?
View attachment 71822
- the reference to NMC (neuromorphic computing) being considered a “möglicher Lösungsweg” (possible/potential solution) in the recent presentation at Hochschule Karlsruhe by MB engineer Dominik Blum
(https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-439352) and the table with several competing neuromorphic hardware offerings in one of his presentation slides titled “Neuromorphic computing is a young field of research … with a lot of open questions, e.g.:”
And then there is also a recent Master’s thesis sort of connected to MB’s neuromorphic research (more on that later, as posts have a limit of 10 upload images) that strengthens my belief that MB are still weighing their options…
Lots of points raised that cannot simply be glossed over and that suggest to me Mercedes-Benz is nowhere near to implementing neuromorphic technology at scale into serial cars.
Interested to hear your or anyone else’s thoughts on those points.
Excellent research !...all I would say is, yes, of course Mercedes Benz are testing every available ground-breaking technology, and yes we are still engaged based on the fact I was told they were a client...if we aren't currently engaged with Mercedes well then, the company needs to be held to account for misrepresentation on our home page...Please email the sales team in the US to clarify the current position.
Speculation can be silenced very quickly.
Regards...Tech.
DingoBorat
Slim
Frangipani
Regular
Hi Frangipani
I believe BRN has just remapped the website
Designing Smarter and Safer Cars with Essential AI
Essential AI shaping car design. BrainChip revolutionizes automotive technology. Explore our page for insights.brainchip.com
View attachment 71852
Hi miaeffect,
thank’s, but yours is a completely different BrainChip webpage, which has been around since 25 July 2022:
July 25, 2022
Designing Smarter And Safer Cars With Essential AI
Conventional AI silicon and cloud-centric inference models do not perform efficiently at the automotive edge. As many semiconductor companies have already realized, latency and power are two primary issues that must be effectively addressed before the automotive industry can manufacture a new generation of smarter and safer cars. To meet consumer expectations, these vehicles need […]
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Conventional AI silicon and cloud-centric inference models do not perform efficiently at the automotive edge. As many semiconductor companies have already realized, latency and power are two primary issues that must be effectively addressed before the automotive industry can manufacture a new generation of smarter and safer cars. To meet consumer expectations, these vehicles need to feature highly personalized and responsive in-cabin systems while supporting advanced assisted driving capabilities.
That’s why automotive companies are untethering edge AI functions from the cloud – and performing distributed inference computation on local neuromorphic silicon using BrainChip’s AKIDA. This Essential AI model sequentially leverages multiple AKIDA-powered smart sensors and AKIDA AI SoC accelerators to efficiently capture and analyze inference data within designated regions of interest or ROI (samples within a data set that provide value for inference).
In-Cabin Experience
According to McKinsey analysts, the in-cabin experience is poised to become one of the most important differentiators for new car buyers. With AKIDA, automotive companies are designing lighter, faster, and more energy efficient in-cabin systems that can act independent of the cloud. These include advanced facial detection and customization systems that automatically adjust seats, mirrors, infotainment settings, and interior temperatures to match driver preferences.
AKIDA also enables sophisticated voice control technology that instantly responds to commands – as well as gaze estimation and emotion classification systems that proactively prompt drivers to focus on the road. Indeed, the Mercedes-Benz Vision EQXX features AKIDA-powered neuromorphic AI voice control technology which is five to ten times more efficient than conventional systems.
Neuromorphic silicon – which processes data with efficiency, precision, and economy of energy – is playing a major role in transforming vehicles into transportation capsules with personalized features and applications to accommodate both work and entertainment. This evolution is driven by smart sensors capturing yottabytes of data from the automotive edge to create holistic and immersive in-cabin experiences.
Assisted Driving – Computer Vision
In addition to redefining the in-cabin experience, AKIDA allows advanced driver assistance systems (ADAS) such as computer vision to detect vehicles, pedestrians, bicyclists, signs, and objects with incredibly high levels of precision.
Specifically, pairing two-stage object detection inference algorithms with local AKIDA silicon enables computer vision systems to efficiently perform processing in two primary stages – at the sensor (inference) and AI accelerator (classification). Using this paradigm, computer vision systems rapidly and efficiently analyze vast amounts of inference data within specific ROIs.
Intelligently refining inference data eliminates the need for compute heavy hardware such as general-purpose CPUs and GPUs that draw considerable amounts of power and increase the size and weight of computer vision systems. It also allows ADAS to generate incredibly detailed real-time 3D maps that help drivers safely navigate busy roads and highways.
Assisted Driving – LiDAR
Automotive companies are also leveraging a sequential computation model with AKIDA-powered smart sensors and AI accelerators to enable the design of new LiDAR systems. This is because most LiDAR typically rely on general-purpose GPUs – and run cloud-centric, compute-heavy inference models that demand a large carbon footprint to process enormous amounts of data.
Indeed, LiDAR sensors typically fire 8 to 108 laser beams in a series of cyclical pulses, each emitting billions of photons per second. These beams bounce off objects and are analyzed to identify and classify vehicles, pedestrians, animals, and street signs. With AKIDA, LiDAR processes millions of data points simultaneously, using only minimal amounts of compute power to accurately detect – and classify – moving and stationary objects with equal levels of precision.
Limiting inference to a ROI helps automotive manufacturers eliminate compute and energy heavy hardware such as general-purpose CPUs and GPUs in LiDAR systems – and accelerate the rollout of advanced assisted driving capabilities.
Essential AI
Scalable AKIDA-powered smart sensors bring common sense to the processing of automotive data – freeing ADAS and in-cabin systems to do more with less by allowing them to infer the big picture from the basics. With AKIDA, automotive manufacturers are designing sophisticated edge AI systems that deliver immersive end-user experiences, support the ever-increasing data and compute requirements of assisted driving capabilities, and enable the self-driving cars and trucks of the future.
To learn more about how BrainChip brings Essential AI to the next generation of smarter cars, download our new white paper here.
I was actually referring to this BrainChip webpage:
Markets
Learn about the capabilities of Akida technology and see if it is right for you!
brainchip.com
which until at least mid-July still looked like this under “Automotive” (there are also other categories, namely Home/Industrial/Health and Wellness, but it is the Auto/Automotive one you’ll see first):
What I framed in red is now gone from that page…
Last edited:
Walking into a bar and seeing a certain forum member.
Frangipani
Regular
Hi Tech,
what’s the point of emailing the sales team in the US? They will only be able to tell us that they can’t comment on the progress of that relationship as it is subject to an NDA. Unless MB had unequivocally told them “Sorry, you’re out…”, they may not even know themselves where exactly they stand with them.
The points I raised suggest to me that Mercedes-Benz are still weighing their options. This doesn’t necessarily mean we are no longer engaged with them. Yet, it is an indisputable fact we are not the only ones in the neuromorphic space presently engaged with them.
What we can say for sure, though, is that not all of those engagements will ultimately translate into the signing of an IP license.
And so we wait…
Regards
Frangipani
Dallas
Regular
BrainChip on LinkedIn: #npbh2024 #healthcareinnovation #medicalimaging #wearables
This week at the NPBH 2024 Workshop on Neuromorphic Principles in Biomedicine and Healthcare, BrainChip’s CTO, Dr. Tony Lewis, was invited to join a luminary…
Frangipani
Regular
A video going along with that paper was uploaded to YouTube yesterday:
Both paper and video relate to another paper and video published by the same Uni Tübingen authors earlier this year. At a cursory glance, at least the videos (posted about six months apart) appear to be VERY similar:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416900
View attachment 70372
View attachment 70373
Now compare the slides to those in the video uploaded October 3:
View attachment 70368
View attachment 70369
View attachment 70370
In fact, when I just tried to cursorily compare the new paper to the March 15 paper that @Fullmoonfever had linked at the time (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-416313), I discovered that the link he had posted then now connects directly to this new paper, published on September 16, so it seems to be an updated version of the previous paper.
I did notice the addition of another co-author, though: Sebastian Otte, who used to be a PhD student and postdoc at Uni Tübingen (2013-2023) and became Professor at Uni Lübeck’s Institute for Robotics and Cognitive Systems just over a year ago, where he heads the Adaptive AI research group.
To put the results that our competitors’ neuromorphic offerings fared worse in the benchmarking tests alongside Akida somewhat into perspective:
In all fairness, it should be highlighted that Akida’s superiority was at least partly due to the fact that AKD1000 is available as a PCIe Board, whereas SynSense’s DynapCNN was connected to the PC via USB and - as the excerpt Gazzafish already posted shows - the researchers did not have direct access to a Loihi 2 edge device, but merely through a virtual machine provided by Intel via their Neuromorphic Research Cloud. The benchmarking would obviously yield better comparable results if the actual hardware used were of a similar form factor:
“Our results show that the better a neuromorphic edge device is connected to the main compute unit, e.g., as a PCIe card, the better the overall run-time.”
Anyway, Akida undoubtedly impressed the researchers, and as a result they are considering further experiments: “(…) future work could involve evaluating the system with an additional Akida PCIe card.”
View attachment 70374
In an earlier post (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-426404), I had already mentioned that the paper’s first author, Andreas Ziegler, who is doing a PhD in robotics and computer vision at Uni Tübingen, has meanwhile completed his internship at Sony AI in Switzerland (that - as we know - partially funded the paper’s research):
View attachment 70375
Fun fact: One of his co-authors, Karl Vetter, however, is no longer with Uni Tübingen’s Cognitive Systems Lab, but has since moved to France, where he has been working as a research engineer for…
It’s a small world, isn’t it?!
View attachment 70376
View attachment 70377
Three days ago, first author Andreas Ziegler gave a talk on the recent table tennis robot research conducted at Uni Tübingen
during the Neuromorphic Vision Hackathon at ZHAW (Zürcher Hochschule für Angewandte Wissenschaften / Zurich University of Applied Sciences), where robotics and neuromorphic computing expert Yulia Sandamirskaya (ex Intel Labs) heads the Research Centre “Cognitive Computing in Life Sciences” at ZHAW’s Wädenswil campus.While the content of his presentation is not new for those of you who already read the paper or saw the video, I thought the way he presented it was quite cool, with all the embedded videos! Have a look yourselves:
Anyway, more exposure for Akida and those favourable benchmarking results (even though it is unclear how much influence the hardware’s form factor had, see my post above).
Here are some of the presentation slides:
In Andreas Ziegler’s updated CV (https://andreasaziegler.github.io/), we can now see who his supervisors were during his internship at Sony AI (that funded this research): Raphaela Kreiser and Nagoya Takahashi:
Bravo
If ARM was an arm, BRN would be its biceps💪!
Published 25 OCtober 2024
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Akida Pico: The Game-Changing Ultra-Low Power AI Co-Processor
BrainChip, a pioneer in ultra-low-power, brain-inspired AI technology, has once again pushed the boundaries of what is possible in AI co-processing with
Those that can 'speak and understand tech' can correct me but it appears that for mobile phones and wearables ARM is just a popular choice rather than essential.
RISC-V is a less common alternative but being an open source is free. On the other hand ARM is optimized for mobiles etc.
How would PICO/AKIDA work with RISC-V?
Is Qualcomm talking RISC-V purely as a threat to ARM??? Or would they really contemplate an RISC-V/PICO combo???\
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