BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Stable Genius
Regular
I’m just guessing here but I think you could find Akida wherever you find a sensor;
radar,
LiDAR,
camera,
rain,
voice,
facial recognition
Driver fatigue detection
Engine failure detection etc
And of course there will be redundancies so you can probably double them!
Fullmoonfever
Top 20
Little blog post from a self described tech head when she was at the recent summits.
Had to post as I liked that we were running NVISO at the summit
and the pic showing fps with Akida H/W 
betterprogramming.pub
We have seen the face and face feature detection at a number of booths. Here is a photo taken at the BrainChip booth.
The neuromorphic processor IP, Akida™, mimics the human brain to analyze essential sensor inputs at the acquisition point. It is real-time inference and learning at the edge by Akida’s fully customizable event-based AI neural processor. By inferencing, the chip concluded that the face above is in the “Happiness” mode. The other available modes are “Neutral” and “Sadness.”
Object detection is important in edge AI. Here are two aspects of its current status:
Had to post as I liked that we were running NVISO at the summit
and the pic showing fps with Akida H/W
AI Frontiers in 2022
Takeaways from AI Hardware Summit and Edge AI Summit 2022
betterprogramming.pub
Takeaways from AI Hardware Summit and Edge AI Summit 2022
AI Chips Can Detect Human Emotions
Edge computing can happen on IoT devices. There are traditional AI models, such as Regression Analysis, Logistic Regression, Neural Networks, Support Vector Machines, Multiclass Classification, and K-Means Clustering. Edge AI models are more task-specific, such as general detectors, high-speed detectors, classifiers, densities, re-identifications, personal protective equipment (PPE), thermal detectors, face detection, face identification, face feature detection, scene segmentation, and skeleton detectors.We have seen the face and face feature detection at a number of booths. Here is a photo taken at the BrainChip booth.
The neuromorphic processor IP, Akida™, mimics the human brain to analyze essential sensor inputs at the acquisition point. It is real-time inference and learning at the edge by Akida’s fully customizable event-based AI neural processor. By inferencing, the chip concluded that the face above is in the “Happiness” mode. The other available modes are “Neutral” and “Sadness.”
Object detection is important in edge AI. Here are two aspects of its current status:
- Accuracy: The original images obtained from IoT devices may be distorted by reflection, blur, soiling, snow, rain, fog, etc. It requires calibration for object recognition and classification. Model accuracy continuously improves.
- Efficiency: The image analytics need to be real time and likely in a high frame rate. It includes geographic information system (GIS) calibration and object tracking. Edge computing reduces server latency and bandwidth.
Hello from sunny Hamburg,
A member of the German "Börsennews" forum claims that qualcomm has its own neuromorphic technology and snapdragon contains them.
He supports his statement with the facts that qualcomm has registered its own patents for neuromorphic technology.
I can't judge what is right and what is wrong
Have a nice Weekend
Frodo
A member of the German "Börsennews" forum claims that qualcomm has its own neuromorphic technology and snapdragon contains them.
He supports his statement with the facts that qualcomm has registered its own patents for neuromorphic technology.
I can't judge what is right and what is wrong
Have a nice Weekend
Frodo
Fullmoonfever
Top 20
Absolutely SGI’m just guessing here but I think you could find Akida wherever you find a sensor;
radar,
LiDAR,
camera,
rain,
voice,
facial recognition
Driver fatigue detection
Engine failure detection etc
And of course there will be redundancies so you can probably double them!
View attachment 18313
I did a basic word search on TSE & couldn't see this interview earlier in the year with Anil posted.
Maybe has been (suspect has?) or maybe not, so anyway, Anil discusses pretty much your point exactly re sensors.
Deploying AI in Advanced Embedded Systems
Today's advanced products, from consumer wearables to smart EVs, are starting to leverage the power of AI to increase performance and functionality. However, those solutions require...
Deploying AI in Advanced Embedded Systems
March 14, 2022Today's advanced products, from consumer wearables to smart EVs, are starting to leverage the power of AI to increase performance and functionality. However, those solutions require the appropriate hardware to run on.
Alix Paultre, Editor
Space Cadet
Regular
If there's Akida where there is rain then NSW will be buying up big.I’m just guessing here but I think you could find Akida wherever you find a sensor;
radar,
LiDAR,
camera,
rain,
voice,
facial recognition
Driver fatigue detection
Engine failure detection etc
And of course there will be redundancies so you can probably double them!
View attachment 18313
SC
Learning
Learning to the Top 🕵♂️
Just has the time to watch Slade.
Thanks for the post JK200SX.
This is exciting!
Qoute from Mr Telson;
"When we think of the edge, we actually think of the end point, when we think of the end point, we actually think of the sensors. So when we heard some of my fellow speakers today talk, all I could think is about Brainchip. Because, with our technology we call it Akida; and taking that Aikida in a IP format, having design it into what they're currently offering, our AI accelerator can help them achieve not only what they are achieving today, exceeding what they're exceeding what they're achieving today but help them pave the way for the future."
It's doesn't get any better than that as a technology offering. Add this Rob Telson presentation at IMAGINE to the Podcast with Prophesee yesterday.
Brainchip's Akida IP will be the antidote to all the missing half mix potions that are currently available at the edges. Brainchip's Akida will make them full, just like Prophesee!
It's great to be a shareholder 🏖
S
Straw
Guest
Hi Frodo,
You could potentially ask them to post cited patents and you could share them here. There are some techy people here capable of making sense of how it may relate in a business and/or tech sense to BRN, if that is what you are asking?
We generally have a fair amount of evidence based enthusiasm about the company we are invested in & Akida and its potential which is a result of a large collection of facts over time.
Assume nothing (insert X-files theme here).
Qualcomm has several NN patents. From my recollection, they use analog neurons.
US10460817B2 Multiple (multi-) level cell (MLC) non-volatile (NV) memory (NVM) matrix circuits for performing matrix computations with multi-bit input vectors
[0010] Neural networks that employ memristor networks for providing synapses can also be used for other applications that require weighted matrix multiplication computations, such as convolution for example.
Hi Straw,
thank you and one thing in advance; i am also a BRN holder and i am enthusiastic about the company, the employees and the previous career of the company. I read every single post here every day and would like to take this opportunity to thank all members for their tireless research.
And since you asked, here's the link to Qualcomm's patents:
https://patents.justia.com/search?q=neuromorphic+qualcomm
The last patent from July 12th is particularly interesting because of its ultra low power
have a good weekend
Sirod69
bavarian girl ;-)
I found this artikle and searched for NIST and Jeff Shainline, perhaps @Diogenese or @FF, could say, if this is a
competitor for Brainchip?
Scientists have long looked to the brain as an inspiration for designing computing systems. Some researchers have recently gone even further by making computer hardware with a brainlike structure. These “neuromorphic chips” have already shown great promise, but they have used conventional digital electronics, limiting their complexity and speed. As the chips become larger and more complex, the signals between their individual components become backed up like cars on a gridlocked highway and reduce computation to a crawl.
Now, a team at the National Institute of Standards and Technology (NIST) has demonstrated a solution to these communication challenges that may someday allow artificial neural systems to operate 100,000 times faster than the human brain.
www.hstoday.us
competitor for Brainchip?
Scientists have long looked to the brain as an inspiration for designing computing systems. Some researchers have recently gone even further by making computer hardware with a brainlike structure. These “neuromorphic chips” have already shown great promise, but they have used conventional digital electronics, limiting their complexity and speed. As the chips become larger and more complex, the signals between their individual components become backed up like cars on a gridlocked highway and reduce computation to a crawl.
Now, a team at the National Institute of Standards and Technology (NIST) has demonstrated a solution to these communication challenges that may someday allow artificial neural systems to operate 100,000 times faster than the human brain.
Hstoday NIST’s Superconducting Hardware Could Scale Up Brain-Inspired Computing - HS Today
In neuromorphic chips, electronic components act as artificial neurons, routing spiking signals through a brainlike network.
www.hstoday.us
Superconducting hardware could scale up brain-inspired computing
Scientists have long looked to the brain as an inspiration for designing computing systems. Some researchers have recently gone even further by making computer hardware with a brainlike structure. These 'neuromorphic chips' have already shown great promise, but they have used conventional...
www.sciencedaily.com
cosors
👀
I just saw a BMW M8 for the first time. Accelerates to 100Km/h in 3.2sec, off the shelf.
Now I wonder what happens when the M GmbH is tuned again by G-Power. He would have to take off. I can see the face of the guy from grip grin in imagination
___
Same guy again.
A friend made fun of me because of the M8
If we don't look for the edge we will never reach it. Beyond the edge
Slippage on all four wheels up to fifth gear - is all I have to say
Last edited:
cosors
👀
I just saw a BMW M8 for the first time. Accelerates to 100Km/h in 3.2sec, off the shelf.
Now I wonder what happens when the M GmbH is tuned again by G-Power. He would have to take off. I can see the face of the guy from grip grin in imagination
___
Same guy again.
A friend made fun of me because of the M8
If we don't look for the edge we will never reach it. Beyond the edge
Slippage on all four wheels up to fifth gear - is all I have to say
And here I think of Akida with Prophesee and blur
Learning
Learning to the Top 🕵♂️
Just like Rob Telson, maybe because of my investment, everything I read, all I think about is Akida and Akida's potential in shaping this efficiency strategy.
group.mercedes-benz.com
It's great to be a shareholder 🏖
Advocacy Mercedes-Benz: Electromobility | Mercedes-Benz Group
With its "Electric only" strategy, Mercedes-Benz is on its way to an emission-free future. In order to successfully manage this transformation, it is also necessary to set the right framework conditions through politics.
It's great to be a shareholder 🏖
Can't wait for the next 4C, would be unreal to see an increase in revenue, although I think realistically the following 4C will be the one to really watch.
I think the next AGM will prove to be pretty exciting too, especially now that FF is going to moor his super yacht at Darling Harbour for the afterparty
(may as well start the rumour) 
I think the next AGM will prove to be pretty exciting too, especially now that FF is going to moor his super yacht at Darling Harbour for the afterparty
(may as well start the rumour) BaconLover
Founding Member
I remember Rob Telson saying our Ken the robot might need a companion like a dog.
Loona petbot fits the description. Opinion only, dyor.
Innovative Robotics Firm KEYi Technology Introduces Loona to its Family of Consumer Robots
/PRNewswire/ -- KEYi Technology, leading consumer robotics company, today introduced Loona, a heartwarming robotic pet, to their existing line of consumer...
Furthermore, with its 3D ToF (time-of-flight) camera, Loona can roam freely using four-wheel and two-wheel motions through its proprietary self-balancing design. Additionally, Loona features a high-performance CPU processor, allowing the chip to perform 54 trillion neural network convolution calculations per second, equating to one-quarter of PC's calculation capability, which is rarely seen in consumer robotics.
Voice based AI: Voice source localization, voice wake-up, voice recognition, and natural language recognition
Visual based AI features: Face recognition, emotion detection, human body recognition, human skeleton-based recognition, gesture recognition, motion detection, edge detection, 3D environment detection, trajectory planning
Emotional Interactive AI model
Loona equips powerful offline process capabilities. All AI functions are processed by Loona locally, except voice recognition and natural language processing which are based on Lax service provided by Amazon. Loona's process ability is as powerful as your smart phone, can perform 5 trillion neural network convolution calculations per second (5 TOPS, at the same level as iPhone XR )
Edit: I see @clip had mentioned it already a few days ago
Fact Finder
Top 20
‘With our partner Oscar Brewing Company’:
Home | Oscar's Brewing Company
📍 29375 Rancho California Rd,Temecula, CA 92591 BREWERY BAKERY RESTAURANT COCKTAILS ABOUT US The Oscar’s Family has been part of the growth of Temecula sinc ...
www.oscarsbrewingcompany.com
D
Deleted member 118
Guest
US ramps up curbs on chip sales to China
The US has said it wants to prevent China's military from accessing "sensitive technology".
Fact Finder
Top 20
With Mercedes we know three things:I’m just guessing here but I think you could find Akida wherever you find a sensor;
radar,
LiDAR,
camera,
rain,
voice,
facial recognition
Driver fatigue detection
Engine failure detection etc
And of course there will be redundancies so you can probably double them!
View attachment 18313
1. Hey Mercedes is an example of using AKIDA,
2. There are other uses unspecified,
3. When it is deployed at scale it will revolutionise existing technology in Mercedes vehicles,
thus all of your nominated categories and more are in play for Brainchip to win at Mercedes Benz.
When we listen to the Luca Verre Prophesee podcast despite having worked with Qualcomm Snapdragon, then SynSense it was not till Prophesee worked with Brainchip and used AKIDA with their vision sensor were they able to reach the full potential of their technology.
Paraphrasing what Rob Telson said in the latest ML presentation AKIDA is just better than anything else.
My opinion only DYOR
FF
AKIDA BALLISTA
Similar threads
