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I think you might be wrong and there will be no more IP deals signed. The reason is that I believe when Brainchip change business models they made partnerships their new way of signing IP deal. I think that the partnership include clauses which means a company like ARM has effectively aleady signed for the IP but because no upfront money was involved an ASX announcement was not necessary.My guess is 5 more IP deals. ARM/INTEL/QUALCOMM/SAMSUNG/INFINION
THEY ALONG WITH RENASAS AND MEGACHIPS will service the rest of the world.
#onecanonlydream
Good evening, isn't it that they will release the news coinciding with the 20th anniversary celebration? Ilovebrnand this passage below from that post, IMO, is why MB stated they are seeking to sign another partnership in 2024 with ???? to progress development of MBoS with NVIDIA. Brainchip would fit the bill one would think.... I have everything crossed this is one of the sparks igniting the share price in 2024.
View attachment 55829
Here is the MB clip stating this: “later this year we will decide on a partner to further develop this technology.”
This is a great post, if ARM signed a IP License with us the shareprice would go out of control, sign a partnership and it's undercover with no noise, people want to bag me but blind Freddy can see on how Sean has changed the dynamics of the company's,I think you might be wrong and there will be no more IP deals signed. The reason is that I believe when Brainchip change business models they made partnerships their new way of signing IP deal. I think that the partnership include clauses which means a company like ARM has effectively aleady signed for the IP but because no upfront money was involved an ASX announcement was not necessary.
I think you might be wrong and there will be no more IP deals signed. The reason is that I believe when Brainchip change business models they made partnerships their new way of signing IP deal. I think that the partnership include clauses which means a company like ARM has effectively aleady signed for the IP but because no upfront money was involved an ASX announcement was not necessary.
Hey Tech,So are you then implying that Brainchip's Executive have effectively signed over 50 IP deals hidden in clauses and because nothing material
can be justified at this point in time they are not legally required to lodge documents with the ASX.
I may be totally wrong here, but if the Board have instructed the CEO not to inform the shareholders of a change in business modelling, as
they have done previously, well are they then in fact breaking any disclosures that must be disclosed to the shareholders ?
At a recent delivery, Sean stated that the company hadn't changed their business model, and emphasized that we are first and foremost
an IP Company !
Very happy to be corrected, but I disagree with your logic....Tech.
I don’t look at it this way. The way I understand it is that the customers of brainchip that will directly sell SOC containing Akida to other customers needs the IP.I think you might be wrong and there will be no more IP deals signed. The reason is that I believe when Brainchip change business models they made partnerships their new way of signing IP deal. I think that the partnership include clauses which means a company like ARM has effectively aleady signed for the IP but because no upfront money was involved an ASX announcement was not necessary.
Hi TFM,I don’t look at it this way. The way I understand it is that the costumers of brainchip that will directly sell SOC containing Akida to other costumers needs the IP.
Renasas bought IP because they develop MOUs to the car industries, they want to create a product(MOU or AI type offering) to sell to their existing costumer base. However, someone like Mercedes is not intending to sell a chip containing Akida to other parties so they don’t have to be a direct costumer, signing a contract with Brainchip to get a product containing Akida. They can go to vendors and foundries that have the ability to create a chip that contains Akida for their purpose. In this case the only way we will gauge progress is trough revenue (royalties).
So most of the current partnerships are intending to use Akida in a product and it is a way to get access to the technology, the expertise of brainchip staff and engineers working on their product before having to pay for anything, however when the time comes that they are confident in their new product containing Akida, most of them will not sign IP, rather approach direct costumers of Brianchip that can tailor make a SOC/MOU solution for their use case.
So Brainchip don’t need a lot of costumers, they only need a few big once like I talked about in my post above that will then sell on to the likes of Apple/Nvidia/Tesla/Dell/Tata etc.
So to conclude my theory based on my understanding is that Partnerships will integrate Akida into product, but not trough brainchip directly, but trough the likes of Renasas and Megachips and a handful of other Chip makers that I believe Brainchip is trying g to get across the line.
If this is the case it should not be too hard to figure out who the handful of other potential IP contracts that Brainchip is chasing. It is the once that currently supply chips to the partnerships brainchip is working with.
It's a stronger connection, than some of your swipes in the dark, BravoWhat's everyone's thoughts on this? Our Chairman Mr Antonio Viana is also currently serving on the Board of Directors at Arteris. Other relevant background info is that Sam Altman (OpenAI) had committed to a $51 million investment in AI chips from Rain AI.
Rain AI are apparently bringing their first chip (analogue in-memory digital AI accelerator) to market at the end of this year.
Arteris Selected by Rain AI for Use in the Next Generation of AI
Optimizing on-chip mesh connectivity with Arteris’ FlexNoC 5 physically aware network-on-chip enables Rain AI to realize faster data transfers at ultra-low power to achieve record performance for Generative AI and Edge AI computing at scale.
CAMPBELL, Calif. – January 30, 2024 – Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP which accelerates system-on-chip (SoC) creation, today announced that Rain AI, an AI company building the world’s most cost and energy efficient hardware for AI, has selected Arteris’ FlexNoC 5 physically aware network-on-chip (NoC) IP. The company will utilize the Arteris interconnect IP for its AI accelerator family. The on-chip connectivity enabled by Arteris’ IP supports the design of an advanced mesh network topology for superior performance that helps support Rain AI’s digital in-memory compute for AI workloads.
The core of Rain AI’s endeavor lies in co-designing fundamental innovations across software, hardware, and algorithms to both speed up processing and lower power consumption. The mesh network-on-chip topology design for on-chip connectivity is a cutting-edge approach to solve the technical challenge of maintaining high performance while interconnecting various AI processing elements. Arteris’ FlexNoC 5, connecting a mesh topology for high-density AI computing, will enable Rain AI to achieve optimal performance at a lower cost of operation.
"The AI problem is an energy problem. Creating a future with abundant and scalable artificial intelligence is critical for the AI revolution," said William Passo, CEO of Rain AI. "The right NoC is critical for AI computing and Arteris FlexNoC 5 was an easy choice given its unmatched product performance including ultra-low power, lowest latency, and highest bandwidth, along with deep expert support and proven track record in reducing time to market."
Rain AI is on a mission to build the compute platform for the future of AI, including training and inference on the same platform to enable scale on-device AI. Utilizing the versatility of the RISC-V instruction set architecture (ISA) and the proven high-performance NoC IP from Arteris, Rain AI expects to deliver products that outperform GPUs and are radically more cost-effective.
"We are very excited to support Rain AI in their vision to transform AI compute through their novel approach to machine learning," stated K. Charles Janac, president and CEO of Arteris. "FlexNoC 5's ability to deliver high performance, flexibility and scalability was a great fit for Rain AI's approach to redefining compute for Generative AI and on-device AI applications."
Arteris remains steadfast in its commitment to delivering state-of-the-art system IP products, empowering innovators like Rain AI to achieve groundbreaking advancements in semiconductor technology. Learn more about FlexNoC 5 and solutions for AI at arteris.com.
About Arteris
Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development across today’s electronic systems. Arteris network-on-chip (NoC) interconnect IP and SoC integration automation technology enable higher product performance with lower power consumption and faster time to market, delivering better SoC economics so its customers can focus on dreaming up what comes next. Learn more at arteris.com.
About Rain AI
Rain AI is creating a future with abundant and scalable artificial intelligence. They’re building the world’s most cost and energy efficient hardware for AI. Their products achieve an order of magnitude improvement over the status quo by co-designing every layer of the AI stack.
Rain AI is currently a Series A stage startup and backed by world leaders in AI, including Sam Altman (OpenAI), Y Combinator, Daniel Gross, Jaan Tallinn, Founders X Fund, Airbus Ventures, and Grep VC. Learn more at rain.ai
Arteris Selected by Rain AI for Use in the Next Generation of AI
Design And Reuse - Catalog of IP Cores and Silicon on Chip solutions for IoT, Automotive, Security, RISC-V, AI, ... and Asic Design Platforms and Resourceswww.design-reuse.com
Hi TFM,
The thing which distinguishes partnerships is that they involve some degree of product co-development.
At this early stage of commercialization, almost exactly none of our partners or customers will have in-house engineering expertise and familiarity with NN, let alone Akida digital SNN.
The first engineering graduates who have met Akida will only just be emerging.
Contrast this with ARM, where every man and his dog (in the processor field) will be familiar with the implementation of ARM processors.
So I think we will gradually be able to ramp up the straight licensing model as familiarity with the ins-and-outs of Akida become more widely known.
I hope Sean has hidden the IP's in partnership deals because if he hasn't gone down that line his in trouble with the lack of IP signingsSo are you then implying that Brainchip's Executive have effectively signed over 50 IP deals hidden in clauses and because nothing material
can be justified at this point in time they are not legally required to lodge documents with the ASX.
I may be totally wrong here, but if the Board have instructed the CEO not to inform the shareholders of a change in business modelling, as
they have done previously, well are they then in fact breaking any disclosures that must be disclosed to the shareholders ?
At a recent delivery, Sean stated that the company hadn't changed their business model, and emphasized that we are first and foremost
an IP Company !
Very happy to be corrected, but I disagree with your logic....Tech.
I hope Sean has hidden the IP's in partnership deals because if he hasn't gone down that line his in trouble with the lack of IP signings
I hope Sean has hidden the IP's in partnership deals because if he hasn't gone down that line his in trouble with the lack of IP signings
At the 2022 AGM during question time a shareholder raised a question and comment regarding whether Brainchip had a flexible pricing policy as this might facilitate getting customers to sign on the dotted line. Both the Chair and the CEO answered in the affirmative that they did have a flexible approach to how they priced the technology to each individual customer.Hi Dio,
I agree with your views...my previous post was slightly sarcastic, in that a few shareholders have contacted me, including German posters
who all seem to think that the business model has changed somehow, and Partnerships are the new currency, while they are extremely
important for us to get established and grow, they are not a replacement for IP Licenses, now or ever.
As many shareholders are hanging out for IP announcements, reflecting license fee revenue they assume that Partnerships are now the
default go to, brought on by anxiety or fear that no revenue indicates the demise of our company.
We have never, ever been in such a strong position, I personally see no reason whatsoever for us not to succeed moving forward,
I can visualize us at the bottom part of the hockey stick heading toward the curve upwards over the next 10 months and accelerating
throughout 2025 and beyond.
Cheers....Chris (Tech)
I don't want to see your mum
I thought you were my mumI don't want to see your mum
"I have mentioned this before but given the lack of traction that has attached to the OnSemi, Infineon and Microchip partnership reveals together with the consistent doubting of the Mercedes Benz partnership I will bring it up again"I have mentioned this before but given the lack of traction that has attached to the OnSemi, Infineon and Microchip partnership reveals together with the consistent doubting of the Mercedes Benz partnership I will bring it up again:
Abstract
There is ample empirical evidence for an asymmetry in the way that adults use positive versus negative information to make sense of their world; specifically, across an array of psychological situations and tasks, adults display a negativity bias, or the propensity to attend to, learn from, and use negative information far more than positive information...
At a higher cognitive level, negative stimuli are hypothesized to carry greater informational value than positive stimuli, and to thus require greater attention and cognitive processing (seePeeters & Czapinski, 1990). Accordingly, adults spend more time looking at negative than at positive stimuli, perceive negative stimuli to be more complex than positive ones, and form more complex cognitive representations of negative than of positive stimuli (e.g.,
Ducette & Soucar, 1974;
Fiske, 1980;
H. Miller & Bieri, 1965).![]()
At a still more complex level of psychological functioning, the negativity bias has also repeatedly been revealed in adults' judgment and decision-making. When making judgments, people consistently weight the negative aspects of an event or stimulus more heavily than the positive aspects (Kahneman and Tversky, 1984; see
Peeters & Czapinski, 1990, for a review). This is also true of impression-formation: when given descriptions of a hypothetical person's moral and immoral behaviors, or adjectives describing the person's good and bad traits, subjects process and use the negative more than the positive information in arriving at a final impression of the person, even when the positive and negative information are equally intense (see
Abelson & Kanouse, 1966;
Fiske & Taylor, 1991;
Kanouse & Hanson, 1972; but see
Skowronski & Carlston, 1987). Furthermore, people need less negative trait information to make trait inferences about others (
Aloise, 1993; see also
N. H. Anderson, 1965, and
Czapinski, 1988).![]()
There is also recent neuroscientific evidence for a negativity bias (e.g.,Ito, Larsen, Smith, & Cacioppo, 1998;
Schupp et al., 2004). For example,
Ito, Larsen, et al. (1998) measured undergraduate students' event-related brain potentials (ERPs) as they showed them neutral pictures (as a kind of context) embedded with occasional positive or negative pictures (targets). The major ERP component of interest was a late positive potential (LPP), which is typically enhanced in response to evaluatively inconsistent targets (e.g., a positive stimulus embedded in a sequence of neutral stimuli) as compared to evaluatively consistent targets (e.g., a positive stimulus embedded in a sequence of positive stimuli;
Cacioppo, Crites, & Gardner, 1996). As expected, Ito, Larsen, et al. found LPP enhancement in response to evaluatively inconsistent targets, both when targets were positive and when they were negative. Importantly, though, they found that the LPPs elicited by the negative pictures were significantly larger in amplitude than the LPPs elicited by the positive pictures despite the fact that both positive and negative pictures were equally probable, equally evaluatively extreme, and equally arousing. Similarly,
Crites, Cacioppo, Gardner, and Berntson's (1995) data, when re-examined by
Cacioppo, Gardner, and Berntson (1999), revealed larger-amplitude LPPs to negative stimuli embedded in a sequence of positive stimuli as compared to the reverse. Furthermore, even when subjects are not asked to explicitly evaluate the valence of stimuli, negative stimuli implicitly receive greater neural processing (as reflected in an enhanced LPP) than do positive stimuli"![]()
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652533/![]()
My opinion only DYOR
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