TheUnfairAdvantage
Regular
So you have watched the Qualcomm investor presentation then
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
rgupta
Regular
I am neither invested in Qualcomm, nor have a motivation to invest in them in near future, so no I did not see their presentation.So you have watched the Qualcomm investor presentation then
I am invested in brainchip and want follow the same. And I don't want to compare brn with anyone like apple, Google, Nvidia, Qualcomm, arm etc . They are all established players and world leaders while we have to start getting our 1st cent of royalty.
To me brainchip have a technology and have a future for their technology. Will they compete with existing players or go with existing players only our company statements can tell the same.
Qualcomm is a very good company around 400 times bigger than brn, around 10000 times revenue than brainchip, but there is no comparison here. Once we start getting into main stream and one of Qualcomm or their competitor will start using our IP only then I would like to compare. Unneccessary comparing can either be a hype or doom for brainchip. Yes I want team brainchip should sell their IP to Qualcomm but that is work for team brainchip, I cannot do much about that.
Dyor
7für7
Top 20
Same here but I’ll just let it run. I don’t see the point in exchanging a currency that might later be worth more than other currencies for a cheaper one. I think if everything goes well, some people will be glad they held on to it. Just my opinion.Mine Xmas present has already arrived in the way of my XRP and know I don’t know what do, cash some buy more BRN or let it ride, but I could buy a shit load more BRN
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One of our partners Prophesee is a supplier to Qualcomm.
We make Prophesee products smarter.
BrainChip, Prophesee to deliver “neuromorphic” event-based vision systems for OEMs | Edge Industry Review
The collaboration will enable enterprise customers to explore edge artificial intelligence use cases with neuromorphic vision systems.
Prophesee teams with Qualcomm on faster event-based smartphone cameras
Prophesee has partnered with Qualcomm to bring a new kind of fast image sensor to smartphone cameras.
Bravo
If ARM was an arm, BRN would be its biceps💪!
That's a great point @manny100.
It might be a simplistic way of looking at things, but for me it boils down to two particular areas:
- performance and efficiency calculated by TOPS/watt, and
- the unique processing capabilities that BrainChip's technology can bring to the table
In terms of determining the TOPS/watt capabilities of Qualcomm's chips, it's a bit tricky because there doesn't seem to be any specified values from the manufacturer on power consumption measurements. In this instance, the authors of one article (published 20 June 2024, linked below) estimated via their own power consumption measurements that "the most efficient power range of the Snapdragon X Elite chips seems to be 20-30 Watts".
AKIDA's Pico on the other hand operates in the microwatt (μW) to milliwatt (mW) range.
When it comes to the process that BrainChip's technology allows for, we can look to Max Maxfiled's latest article "Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" dated 21 Nov 2024. The obvious benefit is that you can "feed the event-based data from the camera directly to the event-based Akida processor, thereby cutting latency and power consumption to a minimum", as compared to other available techniques.
The big question is whether Qualcomm would see any value in adopting this type technology into their own products and I think that Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies, might have actually answered that question in an EE Times article dated 22 March 2023 when he stated the following.
EXTRACT - EE Times article dated 22 March 2023 (Interview with Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies).
EXTRACT - Notebook Check 20 June 2024
EXTRACT - Notebook Check 20 June 2024
EXTRACT - EE Journal"Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" 21 Nov 2024.
Links
EETimes article about Prophesee-Qualcomm deal
Full article here: https://www.eetimes.com/experts-weigh-impact-of-prophesee-qualcomm-deal/ Experts Weigh Impact of Prophesee-Qualcomm Deal ...
image-sensors-world.blogspot.com
Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum
Earlier this year, I penned a couple of columns under the umbrella title “Mind-Boggling Neuromorphic Brain Chips.” One of the first comments I received concerning these columns was short, sharp, an…
www.eejournal.com
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rgupta
Regular
You are right Bravo we need not compete with tech behemoths.That's a great point @manny100.
It might be a simplistic way of looking at things, but for me it boils down to two particular areas:
If BrainChip's technology can deliver on both of these areas in a meaningful way, then there should be no reason for Qualcomm not to want to integrate it into their products. As has been mentioned numerous times, we are trying to position ourselves as a partner rather than a competitor to behemoths like Qualcomm and NVIDIA.
- performance and efficiency calculated by TOPS/watt, and
- the unique processing capabilities that BrainChip's technology can bring to the table
In terms of determining the TOPS/watt capabilities of Qualcomm's chips, it's a bit tricky because there doesn't seem to be any specified values from the manufacturer on power consumption measurements. In this instance, the authors of one article (published 20 June 2024, linked below) estimated via their own power consumption measurements that "the most efficient power range of the Snapdragon X Elite chips seems to be 20-30 Watts".
AKIDA's Pico on the other hand operates in the microwatt (μW) to milliwatt (mW) range.
When it comes to the process that BrainChip's technology allows for, we can look to Max Maxfiled's latest article "Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" dated 21 Nov 2024. The obvious benefit is that you can "feed the event-based data from the camera directly to the event-based Akida processor, thereby cutting latency and power consumption to a minimum", as compared to other available techniques.
The big question is whether Qualcomm would see any value in adopting this type technology into their own products and I think that Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies, might have actually answered that question in an EE Times article dated 22 March 2023 when he stated the following.
EXTRACT - EE Times article dated 22 March 2023 (Interview with Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies).
View attachment 73247
EXTRACT - Notebook Check 20 June 2024
View attachment 73241
EXTRACT - Notebook Check 20 June 2024
View attachment 73244
EXTRACT - EE Journal"Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" 21 Nov 2024.
View attachment 73246
Links
EETimes article about Prophesee-Qualcomm deal
Full article here: https://www.eetimes.com/experts-weigh-impact-of-prophesee-qualcomm-deal/ Experts Weigh Impact of Prophesee-Qualcomm Deal ...Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum
Earlier this year, I penned a couple of columns under the umbrella title “Mind-Boggling Neuromorphic Brain Chips.” One of the first comments I received concerning these columns was short, sharp, an…
A matter of fact no one can hide the sun. So if our solutions are better than others that will mean we are going to get our share sooner or later.
Event based processing sensors are new for the market place and similarly event based processor no one thought about a few years ago.
So let us see where we are heading to.
Fullmoonfever
Top 20
Hi @FrangipaniToday, numerous articles on some of the promising future technologies Mercedes-Benz is exploring were published online, after the carmaker had recently invited journalists to its Future Technologies Lab in Sindelfingen.
And of course - you guessed it - neuromorphic computing was one of them.
(I also find solar coating another interesting concept).
There was also a press release by MB itself:
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Neuromorphic Computer soll Energiebedarf einschränken
Zukünftige Fahrzeuge werden mehr Funktionen wie autonomes Fahren bieten, was den Energiebedarf steigert. Mercedes-Benz setzt auf Neuromorphic Computing, um KI effizienter zu machen und den Energieverbrauch um bis zu 90 % zu senken.mbpassion.de
Playmobil-Männchen im Einsatz…
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German magazine auto, motor und sport published both an online article and a video on MB & neuromorphic computing earlier today (both in German) that literally confirm what I’ve been suspecting: that Mercedes-Benz is nowhere near to implementing neuromorphic technology at scale into their serial cars…
Sparsame KI-Chips fürs automatisierte Fahren: Neue KI-Chips von Mercedes für mehr Reichweite
Mercedes forscht an neuromorphen KI-Chips, die den Energiehunger künstlicher Intelligenz in der Elektronik fürs autonome Fahren eindämmen sollen. Aktuell würde ein Level-4-System nämlich die Reichweite eines E-Autos um bis zu 30 Prozent verringern. Wie die Technik funktioniert und was...www.auto-motor-und-sport.de
“Der Weg in die Serie ist noch weit.” - “It’s still a long way to serial cars”.
“Bis neuromorphe Chips ihren Weg ins Auto finden, wird es wohl noch einige Jahre dauern.” - “It’ll probably take a few years / It looks as if it will still take a few years until neuromorphic chips will find their way into (serial) cars.”
View attachment 73227
Mercedes forscht an neuer KI-Technik: Mit mehr Effizienz zum automatisierten Fahren
Um den Energiehunger von KI-Systemen zu stillen forscht Mercedes an neuromorpher Hardware, mit der autonomes Fahren effizienter werden soll.www.auto-motor-und-sport.de
“Diese Technologie steht jedoch noch am Anfang und erfordert umfangreiche Tests und Zertifizierungen, bevor sie in Autos eingesetzt werden kann.”
“However, this technology is still in its infancy and requires extensive testing and certification before it can be used in cars.”
Something similar is said in the video itself around the 5 min mark.
Other articles are behind a paywall, but maybe one of you happens to be a subscriber and could check out whether there are any additional snippets of interest worth sharing?
Das Auto der Zukunft: Besuch im Forschungslabor von Mercedes-Benz
Flotte Akkus, stromerzeugende Lacke und wartungsfreie Bremsen: Das Auto der Zukunft ist weit mehr als ein Smartphone auf Rädern. Ein Besuch im Forschungslabor von Mercedes-Benz.www.faz.net
Seltene Einblicke: Bremsen ohne Feinstaub – und 5 weitere Zukunftspläne von Mercedes
Der Autohersteller Mercedes-Benz definiert sich als Innovationsmotor – und gewährt einen seltenen Blick in die Forschungswerkstatt. Was dort entwickelt wird, lesen Sie hier.www.stuttgarter-zeitung.de
My guess is that the next Mercedes-Benz LinkedIn post regarding NC will give us some more details about the research collaboration with HKA (Hochschule Karlsruhe) on neuromorphic cameras. Or it might be a post announcing the collaboration between Mercedes and Neurobus that I had spotted on Nov 12 (https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-441454).
Thanks for the info.
The comments of certification etc tie in with a role advertised by BRN earlier this year where part of the requirements needed a working knowledge of Auto / ISO design processes etc.
It is something I believe Akida would need to meet either as part of a package or stand alone.
BRN Discussion Ongoing
Chippers, The fleeting interior view of this chariot is new , 🧠 🍟 inside ????. Regards, Esq.
thestockexchange.com.au
Fullmoonfever
Top 20
This gentleman popped up in a general search. Noticed with us for 5 mths but also a researcher at UC San Diego.
Worked on TENNS with us but is also "working" on ICA for State Space Models for audio denoising.
At UC San Diego he is working on video / LLMs for captioning. Wonder if a fit for us too?
San Diego, California, United States Contact Info
Worked on TENNS with us but is also "working" on ICA for State Space Models for audio denoising.
At UC San Diego he is working on video / LLMs for captioning. Wonder if a fit for us too?
Machine Learning @ BrainChip | MS Machine Learning & Data Science @ UC San Diego
BrainChip UC San Diego
San Diego, California, United States Contact Info
Machine Learning Engineer
BrainChip
Jul 2024 - Present 5 months
- Working on implementing Independent Component Analysis (ICA) for effective basis extraction for State Space Models (SSM) to enhance audio denoising performance.
- Worked on integrating sparsity techniques with Temporal Event-based Neural Network (TENN).-
Graduate Student Researcher
UC San Diego
Jan 2024 - Present 11 months
San Diego, California, United States
- Developed a video captioning pipeline leveraging Large Language Models (LLMs) to capture high-level dynamics/actions in a video.
- Augmented the captioning pipeline to handle 1M videos on Nvidia H100 cluster.
- Developed a video filtering pipeline to extract suitable videos from Panda-70M dataset for our captioning pipeline.
Machine Learning Engineer
BrainChip
Jul 2024 - Present 5 months- Working on implementing Independent Component Analysis (ICA) for effective basis extraction for State Space Models (SSM) to enhance audio denoising performance.
- Worked on integrating sparsity techniques with Temporal Event-based Neural Network (TENN).
Graduate Student Researcher
UC San Diego
Jan 2024 - Present 11 monthsSan Diego, California, United States
- Developed a video captioning pipeline leveraging Large Language Models (LLMs) to capture high-level dynamics/actions in a video.
- Augmented the captioning pipeline to handle 1M videos on Nvidia H100 cluster.
- Developed a video filtering pipeline to extract suitable videos from Panda-70M dataset for our captioning pipeline.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Here's a Neurobus Internship starting January 2025. It states that "knowledge of artificial intelligence, neuromorphic computing and autonomous systems a plus".
Good to see major players like Airbus, ESA, and Mercedes-Benz listed here - all of whom are our partners with whom Neurobus also has strategic partnerships.
It makes me wonder if our work with the likes of Neurobus, ESA, Fontrgade Gaisler and Airbus on the next generation microprocessors will eventually see them utilized not only in space operations but also being incorporated into Mercedes-Benz vehicles. The next generation microprocessors are supposed to set a new standard for modern space-grade computing devices. It wouldn't be unheard of for them to be used in automobiles and smart phones IMO, as has been the case with other space-grade microprocessors, because of their demonstrated robustness.
Food for thought.
jobs.stationf.co
Good to see major players like Airbus, ESA, and Mercedes-Benz listed here - all of whom are our partners with whom Neurobus also has strategic partnerships.
It makes me wonder if our work with the likes of Neurobus, ESA, Fontrgade Gaisler and Airbus on the next generation microprocessors will eventually see them utilized not only in space operations but also being incorporated into Mercedes-Benz vehicles. The next generation microprocessors are supposed to set a new standard for modern space-grade computing devices. It wouldn't be unheard of for them to be used in automobiles and smart phones IMO, as has been the case with other space-grade microprocessors, because of their demonstrated robustness.
Food for thought.
Founders Associate - Internship: Neurobus is hiring!
Neurobus is hiring a Founders Associate - Internship at its Paris offices.
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Some years ago, the company said that obtaining ISO certification would be done by the vehicle maker. However, that does not relieve the company of responsibility for ensuring the designs are ISO compliant.Hi @Frangipani
Thanks for the info.
The comments of certification etc tie in with a role advertised by BRN earlier this year where part of the requirements needed a working knowledge of Auto / ISO design processes etc.
It is something I believe Akida would need to meet either as part of a package or stand alone.
BRN Discussion Ongoing
Chippers, The fleeting interior view of this chariot is new , 🧠 🍟 inside ????. Regards, Esq.
Then there is the continuous development of the tech which inhibits customers from committing to silicon - hence, SDV.
I wonder how long it takes to get ISO cert for software, and for software updates. It would require documenttion of the software and of every code change as well as exhaustive testing. I would think that software testing would not take as long as hardware testing.
Hopefully TENNs/Akida2 will be part of the SDV software in the near term. TENNs 01 software has been around for a couple of years and would have undergone extensive testing, but we don't know what the latest version is or when it was available, let alone what's still in the pipeline.
Getupthere
Regular
Congratulations and Well done to Sean!!
Managed to go through the whole 2024 without achieving anything
Apart from getting his well deserved shares this week.
Great to see management followed through with their commitment to communicate better to their shareholders.
3 years lead has well and truly gone.
Managed to go through the whole 2024 without achieving anything
Apart from getting his well deserved shares this week.
Great to see management followed through with their commitment to communicate better to their shareholders.
3 years lead has well and truly gone.
Bravo
If ARM was an arm, BRN would be its biceps💪!
A TEMPORAL convolutional neural network was used... Tell me more!
Nick BildFollow
5 hours ago • Wearables
EXTRACT
EXTRACT
EXTRACT
www.particle.io
Down, But Not Out
This low-cost wrist-worn fall detector uses a Photon 2, accelerometer, and Edge Impulse to instantly alert first responders to an emergency.
Nick BildFollow
5 hours ago • Wearables
EXTRACT
Down, But Not Out
This low-cost wrist-worn fall detector uses a Photon 2, accelerometer, and Edge Impulse to instantly alert first responders to an emergency.
www.hackster.io
EXTRACT
EXTRACT
How to detect falls with Particle – Particle Blog
Compact fall detection system using Particle Photon 2, ADXL362 accelerometer, and tactile push button.
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" “By combining our Metavision solution with Akida-based IP, we are better able to deliver a complete high-performance and ultra-low power solution to OEMs looking to leverage edge-based visual technologies as part of their product offerings, said Luca Verre, CEO and co-founder of Prophesee.”That's a great point @manny100.
It might be a simplistic way of looking at things, but for me it boils down to two particular areas:
If BrainChip's technology can deliver on both of these areas in a meaningful way, then there should be no reason for Qualcomm not to want to integrate it into their products. As has been mentioned numerous times, we are trying to position ourselves as a partner rather than a competitor to behemoths like Qualcomm and NVIDIA.
- performance and efficiency calculated by TOPS/watt, and
- the unique processing capabilities that BrainChip's technology can bring to the table
In terms of determining the TOPS/watt capabilities of Qualcomm's chips, it's a bit tricky because there doesn't seem to be any specified values from the manufacturer on power consumption measurements. In this instance, the authors of one article (published 20 June 2024, linked below) estimated via their own power consumption measurements that "the most efficient power range of the Snapdragon X Elite chips seems to be 20-30 Watts".
AKIDA's Pico on the other hand operates in the microwatt (μW) to milliwatt (mW) range.
When it comes to the process that BrainChip's technology allows for, we can look to Max Maxfiled's latest article "Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" dated 21 Nov 2024. The obvious benefit is that you can "feed the event-based data from the camera directly to the event-based Akida processor, thereby cutting latency and power consumption to a minimum", as compared to other available techniques.
The big question is whether Qualcomm would see any value in adopting this type technology into their own products and I think that Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies, might have actually answered that question in an EE Times article dated 22 March 2023 when he stated the following.
EXTRACT - EE Times article dated 22 March 2023 (Interview with Judd Heape, VP for product management of camera, computer vision and video at Qualcomm Technologies).
View attachment 73247
EXTRACT - Notebook Check 20 June 2024
View attachment 73241
EXTRACT - Notebook Check 20 June 2024
View attachment 73244
EXTRACT - EE Journal"Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum" 21 Nov 2024.
View attachment 73246
Links
EETimes article about Prophesee-Qualcomm deal
Full article here: https://www.eetimes.com/experts-weigh-impact-of-prophesee-qualcomm-deal/ Experts Weigh Impact of Prophesee-Qualcomm Deal ...Taking the Size and Power of Extreme Edge AI/ML to the Extreme Minimum
Earlier this year, I penned a couple of columns under the umbrella title “Mind-Boggling Neuromorphic Brain Chips.” One of the first comments I received concerning these columns was short, sharp, an…
If Prophesee sells Qualcomm a product containing AKIDA there would likely be an NDA. Qualcomm may not release the product containing AKIDA until????
May well would be a wait for the cash to start rolling in. Not sure about the license situation in these cases.
We would not know until
A TEMPORAL convolutional neural network was used... Tell me more!
Down, But Not Out
This low-cost wrist-worn fall detector uses a Photon 2, accelerometer, and Edge Impulse to instantly alert first responders to an emergency.
Nick BildFollow
5 hours ago • Wearables
EXTRACT
View attachment 73262
Down, But Not Out
This low-cost wrist-worn fall detector uses a Photon 2, accelerometer, and Edge Impulse to instantly alert first responders to an emergency.www.hackster.io
EXTRACT
View attachment 73263
EXTRACT
View attachment 73264
How to detect falls with Particle – Particle Blog
Compact fall detection system using Particle Photon 2, ADXL362 accelerometer, and tactile push button.
Temporal Convolutional Networks can be software:
The seminal work of Lea et al. (2016) first proposed a Temporal Convolutional Networks (TCNs) for video-based action segmentation. The two steps of this conventional process include: firstly, computing low-level features using (usually) CNN that encode spatial-temporal information and secondly, input these low-level features into a classifier that captures high-level temporal information using (usually) RNN. The main disadvantage of such an approach is that it requires two separate models. TCN provides a unified approach to capture all two levels of information hierarchically.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Well, it's a 50/50 bet, but, given I've been cheering on Valeo and Mercedes SDV for TENNs, and given we're such good mates with EI, I hope it is TENNs software.
There are a number of different Temporal Convolutional Networks. As Ella reminds us,
Tain't what you do.
It's the way that you do it.
TENNs does it with Convergent Orthogonal Polynomials.*
EI automate the classification of objects when building NN models. The models then have to be converted to N-of-M code format for Akida like we're doing with our other mates BeEmotion (nee Nviso)).
Automating model formation expedites the process of implemanting a NN. Converting the new models to spike/event format is necessary to adapt the new models for Akida, and applying N-of-M coding compresses the size of the model, thus improving latency and power consumption.
Akida 2 uses 4-bit events for the highest precision applications, but it can use 1-bit or 2-bit events where speed/power consumption are more important. I assume that TENNs is adapted or is being adapted to work with 1, 2, or 4 bits and N-of-M coding.
* Don't ask me.
Fullmoonfever
Top 20
Appears Tech Mahindra, like TCS did, also see the future including a ramp up in neuromorphic.
Be great if they're talking to us as well.
If BRN can't make some sort of inroads into what, on the surface, appears to be a increasing need, recognition and catalyst for neuromorphic, then we have some issues.
Snipped a couple of bits from link below.
www.techmahindra.com
November 19, 2024
:
The last few years have witnessed a profound shift in operational models across global industries. The reason? The exponential evolution of AI. Foundational models of AI in 2024 encompass various capabilities, including, but not limited to, computer code, images, video, and audio. As a direct impact, we can see a plethora of AI-assisted innovations in healthcare, automotive, finance, and more. A McKinsey study (2023) reveals that the new generations of AI can inject $2.6 – $4.4 trillion across all industries combined.
..........
Be great if they're talking to us as well.
If BRN can't make some sort of inroads into what, on the surface, appears to be a increasing need, recognition and catalyst for neuromorphic, then we have some issues.
Snipped a couple of bits from link below.
The Engine Behind AI: AI Accelerator | Tech Mahindra
The last few years have witnessed a profound shift in operational models across global industries. The reason? The exponential evolution of AI. Foundational models of AI in 2024 encompass various capabilities, including, but not limited to, computer code, images, video, and audio. As a direct...
The Engine Behind AI: AI Accelerator
November 19, 2024
:
The last few years have witnessed a profound shift in operational models across global industries. The reason? The exponential evolution of AI. Foundational models of AI in 2024 encompass various capabilities, including, but not limited to, computer code, images, video, and audio. As a direct impact, we can see a plethora of AI-assisted innovations in healthcare, automotive, finance, and more. A McKinsey study (2023) reveals that the new generations of AI can inject $2.6 – $4.4 trillion across all industries combined.
..........
The Future of AI Accelerators: What Lies Ahead?
AI accelerators are still evolving, and their future promises even more powerful capabilities. Here are a few trends and innovations expected in the coming years:- Accelerators in Consumer Electronics
Even more consumer devices will undoubtedly feature AI accelerators in the coming months. Whether a wearable device that is equipped with real-time health diagnostics or AR glasses analyzing surroundings in real-time, AI-based consumer electronics will change how we use technology in our lives. This trend dictates more AI accelerators in consumer electronics.
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