Because he is ….
Gotta love this bit.The very favourable Forbes article is now on the BrainChip website under PR
Enjoy if you haven't already had a chance to see it.
Real-Time AI At The Edge May Require A New Network Solution
Real-Time AI At The Edge May Require A New Network Solution AI has the power to change every electronic platform, but what works in the data center may not work in an industrial edge platform like a security camera, robotic arm, or even a vehicle. There is no one-size-fits-all for edge AI...brainchip.com
Pretty much the only posts on the Crapper worth reading are those by Fact Finder and rayz. I much appreciate their efforts.Had a sneaky look back on HC. still a cesspit!... But, regardless, it is more so challenging everyday to defend the position here that we are not at any risk of being overtaken. Currently, the situation seems as likely as having a contract or actual bloody revenue announce, where is the management? IMO
Snap.Nice find Tech,
I like this bit ...
[0109] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array), an ASIC (application specific integrated circuit) a neuromorphic research chip, such as Intel's Loihi chip, or a neural network processor, such as BrainChip's Akida™ chip.
It’s not his fault actually… the media is just too incompetent to name it as it should be called! NEURALINK!! Elon, neuralink and brainchip…. What is that? this is not even helpful for brainchip to be honest.
Hi Gazza,Top Neuromorphic Computing Stocks for 2024: Ranked by Pure-Play Focus
The human brain consumes about 20 watts of power, which is roughly equivalent to a dim light bulb. Despite this low power consumption, it can perform an estimated 10^16 operations per second. In contrast, a high-end Nvidia GPU consumes about 400 watts of power to perform a “measly” 10^14 to...exoswan.com
Extract:-
“
Tier 1: Pure-Play Neuromorphic Computing Stocks
The pure-play neuromorphic computing stocks represent the cutting edge of this nascent industry. These companies stake their entire business model on the potential of these brain-inspired chips. While this focus creates higher risk, it also offers the most direct exposure for investors bullish on neuromorphic computing. With only one public company currently in this tier, it underscores just how early we are in the neuromorphic computing market.
BrainChip Holdings (ASX: BRN)
BrainChip Holdings (ASX: BRN) is a first-mover in commercial neuromorphic computing, with a focus on energy-efficient edge AI.
Australia-based BrainChip is a pioneer in commercializing neuromorphic computing, focusing on edge AI solutions. The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning. This platform includes the Akida neuromorphic processor. Akida is designed to process information in a way that mimics the human brain from a fundamental hardware level. This “imitation” goes beyond the deep neural networks used in today’s AI models.
Brainship enjoys first-mover advantage in commercial neuromorphic computing. The company’s technology has several unique features, including microwatt power consumption and on-chip learning, while being able to support standard machine learning workflows. In fact, it offers a claimed 5-10x improvement in performance-per-watt over traditional AI accelerators. This would make the Akida chip ideal for battery-powered devices, edge computing, and in-sensor intelligence.
The company is pursuing a flexible business model centered on high-margin IP licensing. This strategy involves upfront license fees and ongoing royalties, which could provide steady revenue as adoption grows. BrainChip’s intellectual property portfolio includes 17 granted patents and 30 pending patents. The company’s team consists of 80% engineers, with 15% holding PhDs from leading AI research programs. BrainChip is also building partnerships with system integrators, including MegaChips, Prophesee, and SiFive.”
Hi Gazza,
Thanks for this. We've seen a couple of articles along this line, which allow me to maintain my illusion about software as a product.
As you may or may not know, I've been posting about the possibility of our EAPs using Akida simulation software, particularly after the emergence of Akida 2 + TeNNs more than 30 months ago, with Valeo and MB using software for signal processing. This sentence from the article again adds more grist to that rumor mill:
"The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning."
To repeat myself, no potential user would commit to Akida 2 in silicon while the tech was in a state of flux. The use of software AI is not so problematic in ICEs as it is in EVs, but from what we've heard about TeNNs, the power and latency could be tolerated in EVs using TeNNs in software. Of course, the software would sensibly include the full Akida 2 simulation including TeNNs, or TeNNs could be used on its own. Software can be readily updated as new developments are implemented, whereas silicon is set in stone.
It's been several months since Anil announced the proposed tapeout of Akida 2, which suggests that the development had reached a satisfactory plateau of stability sufficient for the company to commit to silicon. The tapeout was subsequently "delegated" to a mysterious "other" - the rest is silence.
The SPP talks about developing a cloud-based FPGA demonstration setup, again, not a tapeout. This would be a cheaper way to obtain customer feedback than taping out and making a batch of "engineering sample" chips.
Presumably the mysterious "other" would want to be in on the results of the cloud feedback before going to silicon.
Does this mean that we need to wait for the cloud FPGA venture to provide meaningful results before the tapeout can be implemented? - sigh!
Does it follow that BRN will become a software provider, at least in the short term?
Hi @Diogenese,Hi Gazza,
Thanks for this. We've seen a couple of articles along this line, which allow me to maintain my illusion about software as a product.
As you may or may not know, I've been posting about the possibility of our EAPs using Akida simulation software, particularly after the emergence of Akida 2 + TeNNs more than 30 months ago, with Valeo and MB using software for signal processing. This sentence from the article again adds more grist to that rumor mill:
"The company has developed an Edge AI platform that combines innovative silicon IP, software, and machine learning."
To repeat myself, no potential user would commit to Akida 2 in silicon while the tech was in a state of flux. The use of software AI is not so problematic in ICEs as it is in EVs, but from what we've heard about TeNNs, the power and latency could be tolerated in EVs using TeNNs in software. Of course, the software would sensibly include the full Akida 2 simulation including TeNNs, or TeNNs could be used on its own. Software can be readily updated as new developments are implemented, whereas silicon is set in stone.
It's been several months since Anil announced the proposed tapeout of Akida 2, which suggests that the development had reached a satisfactory plateau of stability sufficient for the company to commit to silicon. The tapeout was subsequently "delegated" to a mysterious "other" - the rest is silence.
The SPP talks about developing a cloud-based FPGA demonstration setup, again, not a tapeout. This would be a cheaper way to obtain customer feedback than taping out and making a batch of "engineering sample" chips.
Presumably the mysterious "other" would want to be in on the results of the cloud feedback before going to silicon.
Does this mean that we need to wait for the cloud FPGA venture to provide meaningful results before the tapeout can be implemented? - sigh!
Does it follow that BRN will become a software provider, at least in the short term?
Did we jump the gun by going the IP route?Hi @Diogenese,
One question I would have for Sean, is, how do we provide yield numbers for Akida 2 without proving it out in silicon? Yes, we have AKD 1000/1500 from two different foundries but no commercial runs to speak of.
If I remember the ARM history correctly, they were on their 4th or 5th run of commercial chips before going down the IP route that BRN is trying to copy.
Who knows, maybe a mix of the two.Did we jump the gun by going the IP route?
Or are we ahead of the game?