BRN Discussion Ongoing
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www.linkedin.com
One of the likes
And
Geoffrey Eappen on LinkedIn: #ai #machinelearning #neuromorphiccomputing #keywordspotting #brainchip…
🚀 Exciting News from the Intersection of AI and Wireless Communication! 🌐 We are thrilled to announce that a groundbreaking demonstration of keyword spotting…
One of the likes
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TheFunkMachine
seeds have the potential to become trees.
Looks like Brainchip has sold out of both suttle pc dev kits and Rasberry Pi dev kits.
They sell for 5k and 10k per unit.
The question is how many have they sold ?
cosors
👀
Time machine?
Frangipani
Regular
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Hi Bravo,
this is what Mohsen Kaboli, Assistant Professor for Robotics and Tactile Intelligence as well as Lead and Principal Investigator of Embodied AI, Robotics, Cognitive Vehicle & Tactile Intelligence at BMW Group commented on Mercedes Chief Software Officer Magnus Östberg’s recent LinkedIn post about neuromorphic computing:
In February 2023, you had already come across PHASTRAC and asked Diogenese for his opinion:
Maybe some future competition on the horizon? @Diogense might be able to explain how analog neuromorphic computing compares? It says here that the " project, which started last month, aims to develop an analog neuromorphic computing approach based on oscillatory neural networks (ONNs) that seamlessly interfaces with sensors and processes analog data without any analog-to-digital conversion."
I remember that @TECH mentioned Simon Thorpe was working on a project with ONN's but I don't know if it's this particular one.
Oscillating neural networks for low power analog edge AI
Technology News | February 6, 2023
By Nick Flaherty
MATERIALS & PROCESSES AI
A European project including IBM and BMW is developing a new type of analog neural network with phase change materials to reduce the power consumption of machine learning at the edge of the network.
The new technique couples oscillating neural networks (ONN) with phase change materials and could reduce power consumption by a factor of 100 to 1000 say the researchers in the PHASTRAC (Phase Change Materials for Energy Efficient Edge Computing) project.
The project, which started last month, aims to develop an analog neuromorphic computing approach based on oscillatory neural networks (ONNs) that seamlessly interfaces with sensors and processes analog data without any analog-to-digital conversion.
- In-memory neuromorphic AI slashes power consumption
- imec, Leti form European hub for AI
- ST hints at analog in-memory computing chip
The oscillating neurons will be implemented with vanadium dioxide (VO2) phase change material coupled with synapses implemented with bilayer resistive RRAM memories using molybdenum and hafnium dioxide (Mo/HfO2).
The project aims to develop new devices for implementing the ONN architecture and processing the analog sensor data. It is led by researchers from Technical University in Eindhoven, who held a session on ONN technology at the European Conference on High-performance Embedded Architecture and Compilation (HiPEAC) Conference last month in Toulouse. They are working with researchers from BMW, IBM Research in Zurich and the Pázmány Péter Catholic University in Budapest.
Oscillating neural networks for low power analog edge AI
A European project including IBM and BMW is developing a new type of analog neural network with phase change materials for edge AIwww.eenewseurope.com
Here is a recent article on the BMW project Mohsen Kaboli is currently working on: “He is developing a cognitive seat that could appear in BMW vehicles in just a few years.”
https://www.bmw.com/de/freude/wie-sich-die-zukunft-bei-bmw-anfuehlt.html (Deutsch)
https://www.bmw.com/en/freude/a-touch-of-the-future-with-bmw.html (English)
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Frangipani
Regular
Puh-leeze!
Why did you have to dig out this misleading comparison once again, although I had already fact-checked it months ago? Well, here we go again:
In the “technical comparison” image you re-posted, Akida gets compared to Dynap-SEL, SynSense’s 2018 neuromorphic chip featuring “1k analog low-power spiking neurons and up to 80k configurable synaptic connections, including 8k synapses with integrated spike-based learning rules.”
Low-Power Neuromorphic Chip DYNAP™-SEL | SynSense
Our next-generation neuromorphic chip, Powering Innovation with 1k Analog Neurons and 80k Configurable Synapses, Including Integrated Spike-Based Learning!
www.synsense.ai
You are evidently aware, though, that BMW are experimenting with SynSense’s fully event-driven neuromorphic vision SoC Speck for their smart cockpit occupant monitoring R&D. So why are you not comparing Akida to Speck instead, as you ought to (although I am not sure whether a direct comparison between AKD1000 and a smart vision processing SoC combining a dynamic vision sensor (DVS) and a neuromorphic processor, actually makes sense?)
And to be fair, you should also factor in Speck’s competitive price tag at < 7 $ (presumably USD) that could easily tip the scales in SynSense’s favour, when potential customers who don’t mind doing business with a de facto-Chinese company consider Speck’s technical specifications “good enough“ for their envisaged use cases, even though AKD1000 boasts more than three times as many neurons as Speck (but not more than 1000x as many, as your comparison seems to suggest). They may not see the point in paying more for a product that could be described as “over-engineered” for their narrow use cases.
IMO, you are doing BrainChip no favour by cherry-picking a competitor’s far less capable neuromorphic mixed-signal chip for your apples and oranges-comparison. By doing so, you are totally exaggerating the parameter divide between Akida and the competition’s more advanced neuromorphic offerings, eg in SynSense’s case, the fully digital neuromorphic processor Dynap-CNN:
DYNAP™-CNN: Neuromorphic Processor With 1M Spiking eurons
DYNAP™-CNN is world's first fully scalable, event-driven neuromorphic processor with 1M configurable spiking neurons and direct interface with external DVS.
www.synsense.ai
What’s the point of unfairly disparaging the competition?
While we shareholders may wish for BrainChip to literally make EVERY sensor smart one day, the commercial reality will be that we will never gain 100% of the global market share. Regardless of any technological superiority.
Frangipani
Regular
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Another really nice and memorable image, but what has the Akida Edge AI Box got to do with “leading engineering innovation in the automotive sector”?
Apologies if posted already
Geoffrey Eappen on LinkedIn: #ai #machinelearning #neuromorphiccomputing #keywordspotting #brainchip…
🚀 Exciting News from the Intersection of AI and Wireless Communication! 🌐 We are thrilled to announce that a groundbreaking demonstration of keyword spotting…
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One of the likes
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And
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And let me repeat myself yet again....ALL THIS IS BEING ACHIEVED USING THE BRILLIANT AKD 1000 CHIP (to narrow??)
I rest my case...X
BRN's business model and approach, has things in common, with both ARM's and NVIDIA's.
Exploring Nvidia's Business Model and Revenue Streams | Untaylored
Dive into the intricate world of Nvidia's business model and revenue streams in this insightful article. | Business Model Innovationwww.untaylored.com
"However, Nvidia's business model goes beyond just creating exceptional hardware. They recognize the importance of collaboration and partnerships. That's why they work closely with software developers and system integrators to optimize applications and solutions for their hardware. By fostering these relationships, Nvidia ensures that their GPUs and SoCs are not only powerful but also seamlessly integrated into various software ecosystems.
Moreover, Nvidia understands the value of building a strong ecosystem around their products. They actively cultivate relationships with game developers, content creators, and software vendors to ensure compatibility and optimization for their GPUs and SoCs. This collaborative approach creates a mutually beneficial environment where Nvidia's partners can leverage their technology to create groundbreaking experiences, while Nvidia benefits from increased brand loyalty and demand for their products"
I assume though, that you mean BrainChip's pursual of a mainly IP business model, which I personally like.
It's like owning a goldmine, where people pay you to mine there and then pay you royalties, with zero capital expenditure, or mining risks.
Both are very successful Companies and with what I know, that is happening with BrainChip and it's relationships with other Companies, I'm very happy, with the path they have chosen.
Am I happy with the speed at which things are going? Hell No.
Do I understand, this is the "nature of the beast" ? Yes.
And your question for Sean?
"If a client said to Sean: I'd like to get my hands on 1,000,000 Akida chips in 6 months time. What would the answer be?"
For starters it shows your ignorance, in following the Company you have invested in, as Sean has stated in an interview, that they are very flexible, in how they are dealing with their customers.
Do you really think, if a customer made such a request, that he would answer..
"Golly, No! You know we only do IP, you have to buy a licence and sort that out yourself".
Or would he say something more along the lines of..
"Sure, we can arrange that for you, through either TSMC, Global Foundries or Intel Foundry Services, here are the payment terms".
Which are likely to be "money down".
You need to be smart enough, to know when your questions are..
Not so much..
"It's like owning a goldmine, where people pay you to mine there and then pay you royalties, with zero capital expenditure, or mining risks."
Well said DB, point well made. The analogy of the goldmine is worth exploring.
What actually happens is that the gold is pre-sold through an off-take arrangement, then that money pays for the mining.
So with us it might be: license the IP, with money down, and we'll guarantee delivery of chips in 6 months. This is much more than we are offering.
The simple fact is that if no-one is signing IP license agreements, then let's invent a few more options for them. It's great that we say we're being flexible, but are we?
BrainShit
Regular
In short... Akida is able to process sensor data at really nice performance right? So just plug at least one sensor (Input) into the box, plug a display as an output into it .... and do your engineering, programming or research magic to develop / improve a model, measure latencies, run a benchmark, to find the right sensor type do video analytics, face recognition, object detection or whatever ... to develop a working well "sense" system for cars.... or maybe TATAs unbeliveable toothbrush which scanning the tooth surface for leftovers
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Another really nice and memorable image, but what has the Akida Edge AI Box got to do with “leading engineering innovation in the automotive sector”?
I'm sure that this box is not only used in the automotive sector ...
Frangipani
Regular
Sharp edge, sharper edge, bleeding edge? 
“Kill latency” isbloody catchy!
And so is “Everyone is essential. (…) If you’re with us, you’re essential to us.”
(Albeit less gory.)
(No guillotines involved, I hope).
“Kill latency” is
bloody catchy!And so is “Everyone is essential. (…) If you’re with us, you’re essential to us.”
(Albeit less gory.)
(No guillotines involved, I hope).
cosors
👀
Absolutely sharp!Sharp edge, sharper edge, bleeding edge?
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“Kill latency” is
And so is “Everyone is essential. (…) If you’re with us, you’re essential to us.”
(Albeit less gory.)
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Reminds me of this.
Grit 8000, with Micromesh. I have respect for that sharpness myself
Did you know that the definition or measurability of sharpness is based on this?
Sharpness is a geometrically measurable quantity.
____
it's one of my cooking knives .)
The tomato crumbles into slices from fear alone.
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AusEire
Founding Member. It's ok to say No to Dot Joining
There weren't many to start with. They were just for demos. So doubt they will bring much money for revenue lol
The old "oohhh look who liked our post!". Give it a break mate. These kind of posts are just beyond silly. Baseless speculation at its best
Not your mate DK or is it DH, either is correct i guess? Sshh
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