Easytiger
Regular
Not sure how this stacks up with the company response to the ASX speeding ticket.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
MDhere
Regular
Ok when sorting out my emails I found a section where I had been trying to find a report from wevolver after I heard a brainchip podcast in late July / early Aug mention it but I could never get my hands on it as I assumed it was only avail by subscription. Well bowl me over, today I was able to finally get my hands on it - Here is a snippet of it! -
2023 Edge AI Technology Report. Chapter X: Future of Edge AI
What’s Next for Artificial Intelligence and Edge Computing?
Event-based Processing & Learning: BrainChip’s Neuromorphic AI SolutionBrainChip is one of the pioneers of bringing neuromorphic computing to the edge. While traditional neuromorphic approaches have used analog designs to mimic the neuron and synapse, BrainChip has taken a novel approach on three counts.
As a self-managed neural processor that executes most networks completely in hardware without CPU intervention, it addresses key congestion and system bandwidth challenges in embedded SoCs while delivering highly efficient performance. With support for INT8 down to INT1 and skip connections, it handles most complex networks today, along with spiking neural nets. This led NASA to select BrainChip’s first silicon platform in 2021 to demonstrate in-space autonomy and cognition in one of the most extreme power- and thermally-constrained applications. Similarly, Mercedes Benz demonstrated BrainChip in their EQXX concept vehicle that can go over 1000 km on a single charge. In the latest generation, Brainchip has taken another big step of adding Temporal Event Based Neural Nets (TENNs) and complementary separable 3D convolutions that speed up some complex time-series data applications by 500x while radically reducing model size and footprint, but without compromising accuracy. This enables a new class of compact, cost-effective devices to support high-res video object detection, security/surveillance, audio, health, and industrial applications. While neuromorphic computing is still discussed as a future paradigm, BrainChip is already bringing this paradigm to market. |
Given the number of NDAs, it's difficult to imagine the blackout curtains being opened any time soon.
Last edited:
Can you please provide the link that asys "released to market"/Renesas is taping out a chip using the spiking neural network (SNN) technology developed by Brainchip.
Learn more about the collaboration between BrainChip and Renesas as they tap out a chip using the Spiking Neural Network (SNN) technology.brainchip.com
Just a gentle reminder that the supposed chip MCU by Renasas containing Akida is according to the provided press release supposed to be released to market December 23
It’s supposedly on 22nm architecture
Using RISC V technology to compete with Arm M85 offering if I’m not miss understanding it.
Cheers
Gies
Regular
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Nice article and a good mention of Brainchip.
And Chapman thanks for liking
Fullmoonfever
Top 20
Know we've all see the recent video and transcript below for those that like a read through if not previously posted.
stocksdownunder.com
Catching up with Brainchip CEO, Sean Hehir
November 9, 2023
Brainchip, BRN
Check out our recent investor webinar on BrainChip here!
Disclosure: Stocks Down Under/Pitt Street Research directors own BRN shares.
Marc: Hello. And welcome to Stocks Down Under. My name is Marc Kennis, I’m one of the co-founders. And today we’re joined by the CEO of BrainChip, Sean
Hehir. Morning Sean.
Sean: Morning, Marc.
Marc: We’ve spoken before about 18 months ago I think, about BrainChip obviously, but for people that don’t know BrainChip just talk us at a high level through what the company does.
Sean: Sure. What we do at BrainChip is we create intellectual property for people that are going to create custom chips that can do AI inference on the edge. When we say the edge that means outside the data center. And there’s a big movement in the industry to go away from everything in the data center to inference outside the data center.
So, things whether that’s automobiles, medical devices, hearing aids, things like that, industrial applications. So, we create intellectual property for people that want to build custom chips. Specifically, what we do, we have a way of doing this which is called neuromorphic. We’re the first company in the market to commercialize a neuromorphic approach.
Marc: And in terms of commercializing the technology, can you talk us through the model there? How does that work?
Sean: Sure. Our model is very simple like all licensing and IP companies. We sell a license originally, we charge some support in engineering for people who need help building their chips. And when the chips come off and are created we collect royalties. It’s a business model that over time creates a very attractive P&L.
Marc: And recently you announced the second generation of Akida, which is the actual product. Tell us how that’s different from the first generation and what it allows customers and prospects to do that they couldn’t do with the first generation.
Sean: Sure. I mean, it’s a wonderful question, something I could talk about all day. If you look at my comments I made at this last year’s AGM, Generation 1 as we call it the first release of IP is a world-class product. However, it’s very narrow in its functionality or very narrow in its use case.
So, we have some customers and prospects there. But when I talk about the pipeline later on the majority of [inaudible 00:02:04] interested in Generation 2 and why. Some of the things we did in Generation 2 were at the customer request meaning, “We want certain things that you don’t do in there.” Specifically, a lot of the industry is on 8-bit support and we were on 4-bit support. So, now we do 8, 4 and 2. So, that’s a big thing.
Some customers just say, “Hey, my models are on 8-bit. I wanna keep them in 8-bit.” So we did that. We included long-range skip connections, which is something that the industry wants.
Marc: What’s a long-range skip connection?
Sean: What is a long-range skip connection?
Marc: Mm-hmm.
Sean: It’s a term when you talk about the ability to do certain things with models without getting overly technical. But it’s a very common way to do things and we needed to include that. We support PyTorch, ONNX, PyTorch. Most of the models in today’s world are created in two major frameworks, TensorFlow or PyTorch, and now we support ONNX, PyTorch, which is critical. So, if anybody has a model it’s easy to put it onto Akida.
So, those are the things that kind of we’ve said, “Okay, the market spoke to us, customers spoke to us, said, ‘Please include these functionalities.'” So we’ve done that. Secondly, then, we’ve included some breakthrough kind of algorithm called TENNS, which is the ability to do things with the element of time called spatio-temporal neural networks.
When you read some of the materials, the breakthroughs are incredible, the ability to do much more with less, lower power consumptions, less parameters, and outstanding performance. So, we’re seeing a lot of interest in the pipeline for TENNS. And we’ve also included something called an encoder for vision transformers. So, that’s a lot of things that people can do that they couldn’t do before.
Marc: And so, if we bring that down to what we can see in everyday products, for instance, everyday functionality, or bring it really down to, say, products, where will we see Akida in a couple of years and what type of products? And looking at those products what does Akida allow that particular product to do that wasn’t available before?
Sean: Sure. So, you know, typically when people engage with us they start with an idea in mind. They have a product and they want certain types of functionality. And they want some AI inference capability. And they want to do it outside the data center. They don’t wanna have a network connectivity. They don’t wanna have large power. So, they want to do something.
So, I can just talk about some of the customers and things that we talked to. We’re seeing interest for things in hearing aids such as denoising and clarification. We see things from customers and interest in industrial for IoT or vibration analysis to say, “Hey, here’s the signature for preventive maintenance.”
We’re seeing interest for wearables such as I’m wearing on my wrist right now. We see interest in automobiles and various parts of the automobile. So, we’re seeing a whole variety of things that people are interested in across a lot of verticals.
Marc: So, just as an example the hearing aid?
Sean: Yes.
Marc: Akida in that use case would basically filter out what is voice or what is noise and skip the noise and just bring out the voice of whoever you’re talking to?
Sean: That’s correct. At an incredibly low power, very efficient way, low number area in the piece of silicon.
Marc: And so, if you go back in your announcements one of them said, “We’ve announced the second generation but the customers’ prospects are waiting for the actual platform to be available.” So, in terms of engagement, in terms of attraction, what are you seeing now that is different from a couple of months ago?
Sean: If I look across our pipeline of all the engagements, about more than half…much more than half, probably three-quarters of it is all around Generation 2. So that tells me it’s something that people really, really wanted to have. So, the interest level is incredibly high in Generation 2. If you look at the analyst reports that we got when announced Generation 2, overwhelmingly favorable and very strong position in the market.
Marc: And how far along in your sales funnel would you say some of these prospects are? Because it’s one thing to be interested and a second to look at it and start testing with it, but at the end of the day, of course, you want revenues out of that. So, can you shed some light on the sales funnel for some of these groups?
Sean: Sure. So, these are very serious engagements. These are engagements for customers that have timelines to create product. So, they’re not just saying, “Hey, show me this, and let’s figure out if there’s something to do.” Many of these customers have real projects to say, “I have a date somewhere out in the future to get something done with a timeline. We’re gonna create an evaluation. We’ve got budget to do that.” So, they’re very serious engagements.
And then when we engage, it takes a fair amount of time, typically it starts with a customer sharing their models with us. We’ll run some models and share the performance data with them and say, “Here’s what you can expect from us.” And so we do it that way. In addition, then we might turn over a board or a system and let them run themselves.
So, they take a fair amount of time, but we’re deep in several, several engagements. Again, what I wanna point out is, these aren’t just explorations, they’re projects where people have defined budgets and defined timelines.
Marc: And so, you don’t do that unless you’re very serious about actually implementing that.
Sean: Yeah, because it’s going to take a fair amount of resources on their half, too, right? They’re gonna have to dedicate some technical resources to do these evals.
Marc: And if you could sort of segment the interest from all these groups into industries, which one would you say, which industry would you say is sort of dominant among your prospects?
Sean: I think it’s relatively distributed. And it’s along the ways I’ve just talked about, a fair amount in wearables, a fair amount in hearing aid, a fair amount in industrial, and a fair amount in automobiles.
Marc: In one of the initial deals, I think it was MegaChips that was probably two years ago, almost, that was one of the big ones in terms of the first license fees coming in, right?
Sean: Mm-hmm.
Marc: How has that progressed the MegaChips collaboration? And as a classical example of a license fee and royalty model, how far along is that one in terms of mass production, which means which would mean royalties for you guys?
Sean: Yeah, so, we don’t talk about the customer themself in their progress, right? You know, it’s their business. Now, we work with MegaChips. We are in constant contact with MegaChips. We support MegaChips. But I really can’t comment on where they are in their revenue streams right now.
Marc: But it’s fair to say that sort of in general, when you’re looking at companies like this, they pay you a license fee, maybe more at a high level, and what sort of delay is there between getting that first revenue in from licenses and actual sort of royalties from mass production?
Sean: It certainly takes time. So, when somebody is gonna build a custom chip, it takes a fair amount of time. And typically, IP selection is pretty early in as part of that process. So, once they decide to buy their IP, then they’re gonna have to go ahead and complete the design of their chip.
And that takes anywhere from 6 to 12 months. And at that point, then, of course, when the chip comes back, they’re gonna do some tests, QA, and then eventually it goes into their end product, and then it goes out to market. So, it could be well over a year, two years at times.
Marc: If we change focus a little bit to the balance sheet. So, I noticed you’ve got about 17 million in cash. You’re burning roughly at four quarter. Can you remind us of the deal or the structure of the deal with LDA Capital for your funding purposes?
Sean: Yeah, sure. But before I do, I wanna add one more thing if I could to the last comment. Because, you know, I’ve got a lot of questions on this trip that I’m on right now about a recent announcement we did on a commercial model. We announced something with a system in our grader called VVDN. And in that, VVDN is going to create an Edge box. An Edge box is gonna be very small in its form factor. It’s gonna include our chip, the Akida 1000 in that chip, in that box. The box will be used for all kinds of use cases.
Some of it could be for security, some could be for retail monitoring, and things like that. It’ll be sold predominant by VVDN. We will sell it as well. We’re not gonna sell in volume with our salespeople. We’re gonna put it up on our website for people who wanna buy it. So, people have asked me repeatedly, “Is that a change in our business model to a chip versus IP?”
The answer is no. We’re doing that for a couple of reasons. We really wanna just prove out more workloads into the market, right? And there’s been an ask from system integrators to do this. So, we’re gonna do this with VVDN, and we might do it with others right now. But it’s not a shift in our business model. So, I wanna be clear about that. We’re just gonna try this and get some workloads out there. So, you’ll see some revenue, but we’re not expecting to be big revenue off the hardware side.
Around LDA, your question about, “How does it really work?” It’s a very favorable and friendly way for us to do our fundraising. What we’ve done, we provide a certain number of shares to LDA. We specify a period of time that they can really start to market. We set a minimum price that they can’t sell below. And they take 8.5% for that service. All the details are in our financial filings if people wanna know more.
Marc: And so, going forward, you’ll still be using that structure or other sources of funding that you’re looking at?
Sean: You know, as a CEO and our CFO and our board, we’re evaluating all options for funding, and needs, quite frankly.
Marc: Sorry, and…
Sean: And the need, right?
Marc: And the need. Yeah, of course. Yeah. All right. Last question. What can investors look forward to in terms of sort of milestones in the next 12 months?
Sean: I think the next 12 months are critical for BrainChip, right, in a lot of ways. Now, when I came here two years ago, I think it was roughly two years this week, actually, the company was just really exiting its R&D phase. Now, we had just released a chip, but there was, you know, minimal sales, minimal salespeople.
We had minimal marketing presence. We had just realized, you know, our Generation 1 was narrow and focused. So, this last period of time, a lot of work went to creating Generation 2, which we believe is the product that the company is gonna be built on for the coming years.
We revamped our entire sales organization. We now have sales presence around the world. We have people in Korea, Japan, Israel, Europe, United States.
We’ve got a world-class marketing organization. So, we’re in that position now, where we’re now we talked a little bit about the pipeline as well. We’re in a very different position than two years ago. So, the next 12 months is critical. So, what can people expect from us? Certainly more partnership agreements.
That’s a critical part of our success. I made a comment at the AGM that we’re gonna accelerate our product development. So, look for more product announcements from us. And also look for announcements around engagement so we’re hopefully gonna be winning.
Marc: Exciting times then.
Sean: Very exciting times there.
Marc: Good stuff. Thank you very much, Sean.
Sean: Thank you, Marc.
Catching up with Brainchip CEO, Sean Hehir
We spoke with Sean Hehir, CEO of BrainChip (ASX:BRN), about the 2nd generation Akida platform and the traction that has been getting recently.
stocksdownunder.com
Catching up with Brainchip CEO, Sean Hehir
November 9, 2023
Brainchip, BRN
BrainChip (ASX:BRN) interview
We caught up with Sean Hehir, CEO of BrainChip (ASX:BRN). Sean brought us up to speed on the 2nd generation Akida platform and the traction that has been getting recently. He also spoke about BRN’s capital structure and upcoming milestones that investors can look forward to.Check out our recent investor webinar on BrainChip here!
Disclosure: Stocks Down Under/Pitt Street Research directors own BRN shares.
TRANSCRIPTION
Marc: Hello. And welcome to Stocks Down Under. My name is Marc Kennis, I’m one of the co-founders. And today we’re joined by the CEO of BrainChip, Sean
Hehir. Morning Sean.
Sean: Morning, Marc.
Marc: We’ve spoken before about 18 months ago I think, about BrainChip obviously, but for people that don’t know BrainChip just talk us at a high level through what the company does.
Sean: Sure. What we do at BrainChip is we create intellectual property for people that are going to create custom chips that can do AI inference on the edge. When we say the edge that means outside the data center. And there’s a big movement in the industry to go away from everything in the data center to inference outside the data center.
So, things whether that’s automobiles, medical devices, hearing aids, things like that, industrial applications. So, we create intellectual property for people that want to build custom chips. Specifically, what we do, we have a way of doing this which is called neuromorphic. We’re the first company in the market to commercialize a neuromorphic approach.
Marc: And in terms of commercializing the technology, can you talk us through the model there? How does that work?
Sean: Sure. Our model is very simple like all licensing and IP companies. We sell a license originally, we charge some support in engineering for people who need help building their chips. And when the chips come off and are created we collect royalties. It’s a business model that over time creates a very attractive P&L.
Marc: And recently you announced the second generation of Akida, which is the actual product. Tell us how that’s different from the first generation and what it allows customers and prospects to do that they couldn’t do with the first generation.
Sean: Sure. I mean, it’s a wonderful question, something I could talk about all day. If you look at my comments I made at this last year’s AGM, Generation 1 as we call it the first release of IP is a world-class product. However, it’s very narrow in its functionality or very narrow in its use case.
So, we have some customers and prospects there. But when I talk about the pipeline later on the majority of [inaudible 00:02:04] interested in Generation 2 and why. Some of the things we did in Generation 2 were at the customer request meaning, “We want certain things that you don’t do in there.” Specifically, a lot of the industry is on 8-bit support and we were on 4-bit support. So, now we do 8, 4 and 2. So, that’s a big thing.
Some customers just say, “Hey, my models are on 8-bit. I wanna keep them in 8-bit.” So we did that. We included long-range skip connections, which is something that the industry wants.
Marc: What’s a long-range skip connection?
Sean: What is a long-range skip connection?
Marc: Mm-hmm.
Sean: It’s a term when you talk about the ability to do certain things with models without getting overly technical. But it’s a very common way to do things and we needed to include that. We support PyTorch, ONNX, PyTorch. Most of the models in today’s world are created in two major frameworks, TensorFlow or PyTorch, and now we support ONNX, PyTorch, which is critical. So, if anybody has a model it’s easy to put it onto Akida.
So, those are the things that kind of we’ve said, “Okay, the market spoke to us, customers spoke to us, said, ‘Please include these functionalities.'” So we’ve done that. Secondly, then, we’ve included some breakthrough kind of algorithm called TENNS, which is the ability to do things with the element of time called spatio-temporal neural networks.
When you read some of the materials, the breakthroughs are incredible, the ability to do much more with less, lower power consumptions, less parameters, and outstanding performance. So, we’re seeing a lot of interest in the pipeline for TENNS. And we’ve also included something called an encoder for vision transformers. So, that’s a lot of things that people can do that they couldn’t do before.
Marc: And so, if we bring that down to what we can see in everyday products, for instance, everyday functionality, or bring it really down to, say, products, where will we see Akida in a couple of years and what type of products? And looking at those products what does Akida allow that particular product to do that wasn’t available before?
Sean: Sure. So, you know, typically when people engage with us they start with an idea in mind. They have a product and they want certain types of functionality. And they want some AI inference capability. And they want to do it outside the data center. They don’t wanna have a network connectivity. They don’t wanna have large power. So, they want to do something.
So, I can just talk about some of the customers and things that we talked to. We’re seeing interest for things in hearing aids such as denoising and clarification. We see things from customers and interest in industrial for IoT or vibration analysis to say, “Hey, here’s the signature for preventive maintenance.”
We’re seeing interest for wearables such as I’m wearing on my wrist right now. We see interest in automobiles and various parts of the automobile. So, we’re seeing a whole variety of things that people are interested in across a lot of verticals.
Marc: So, just as an example the hearing aid?
Sean: Yes.
Marc: Akida in that use case would basically filter out what is voice or what is noise and skip the noise and just bring out the voice of whoever you’re talking to?
Sean: That’s correct. At an incredibly low power, very efficient way, low number area in the piece of silicon.
Marc: And so, if you go back in your announcements one of them said, “We’ve announced the second generation but the customers’ prospects are waiting for the actual platform to be available.” So, in terms of engagement, in terms of attraction, what are you seeing now that is different from a couple of months ago?
Sean: If I look across our pipeline of all the engagements, about more than half…much more than half, probably three-quarters of it is all around Generation 2. So that tells me it’s something that people really, really wanted to have. So, the interest level is incredibly high in Generation 2. If you look at the analyst reports that we got when announced Generation 2, overwhelmingly favorable and very strong position in the market.
Marc: And how far along in your sales funnel would you say some of these prospects are? Because it’s one thing to be interested and a second to look at it and start testing with it, but at the end of the day, of course, you want revenues out of that. So, can you shed some light on the sales funnel for some of these groups?
Sean: Sure. So, these are very serious engagements. These are engagements for customers that have timelines to create product. So, they’re not just saying, “Hey, show me this, and let’s figure out if there’s something to do.” Many of these customers have real projects to say, “I have a date somewhere out in the future to get something done with a timeline. We’re gonna create an evaluation. We’ve got budget to do that.” So, they’re very serious engagements.
And then when we engage, it takes a fair amount of time, typically it starts with a customer sharing their models with us. We’ll run some models and share the performance data with them and say, “Here’s what you can expect from us.” And so we do it that way. In addition, then we might turn over a board or a system and let them run themselves.
So, they take a fair amount of time, but we’re deep in several, several engagements. Again, what I wanna point out is, these aren’t just explorations, they’re projects where people have defined budgets and defined timelines.
Marc: And so, you don’t do that unless you’re very serious about actually implementing that.
Sean: Yeah, because it’s going to take a fair amount of resources on their half, too, right? They’re gonna have to dedicate some technical resources to do these evals.
Marc: And if you could sort of segment the interest from all these groups into industries, which one would you say, which industry would you say is sort of dominant among your prospects?
Sean: I think it’s relatively distributed. And it’s along the ways I’ve just talked about, a fair amount in wearables, a fair amount in hearing aid, a fair amount in industrial, and a fair amount in automobiles.
Marc: In one of the initial deals, I think it was MegaChips that was probably two years ago, almost, that was one of the big ones in terms of the first license fees coming in, right?
Sean: Mm-hmm.
Marc: How has that progressed the MegaChips collaboration? And as a classical example of a license fee and royalty model, how far along is that one in terms of mass production, which means which would mean royalties for you guys?
Sean: Yeah, so, we don’t talk about the customer themself in their progress, right? You know, it’s their business. Now, we work with MegaChips. We are in constant contact with MegaChips. We support MegaChips. But I really can’t comment on where they are in their revenue streams right now.
Marc: But it’s fair to say that sort of in general, when you’re looking at companies like this, they pay you a license fee, maybe more at a high level, and what sort of delay is there between getting that first revenue in from licenses and actual sort of royalties from mass production?
Sean: It certainly takes time. So, when somebody is gonna build a custom chip, it takes a fair amount of time. And typically, IP selection is pretty early in as part of that process. So, once they decide to buy their IP, then they’re gonna have to go ahead and complete the design of their chip.
And that takes anywhere from 6 to 12 months. And at that point, then, of course, when the chip comes back, they’re gonna do some tests, QA, and then eventually it goes into their end product, and then it goes out to market. So, it could be well over a year, two years at times.
Marc: If we change focus a little bit to the balance sheet. So, I noticed you’ve got about 17 million in cash. You’re burning roughly at four quarter. Can you remind us of the deal or the structure of the deal with LDA Capital for your funding purposes?
Sean: Yeah, sure. But before I do, I wanna add one more thing if I could to the last comment. Because, you know, I’ve got a lot of questions on this trip that I’m on right now about a recent announcement we did on a commercial model. We announced something with a system in our grader called VVDN. And in that, VVDN is going to create an Edge box. An Edge box is gonna be very small in its form factor. It’s gonna include our chip, the Akida 1000 in that chip, in that box. The box will be used for all kinds of use cases.
Some of it could be for security, some could be for retail monitoring, and things like that. It’ll be sold predominant by VVDN. We will sell it as well. We’re not gonna sell in volume with our salespeople. We’re gonna put it up on our website for people who wanna buy it. So, people have asked me repeatedly, “Is that a change in our business model to a chip versus IP?”
The answer is no. We’re doing that for a couple of reasons. We really wanna just prove out more workloads into the market, right? And there’s been an ask from system integrators to do this. So, we’re gonna do this with VVDN, and we might do it with others right now. But it’s not a shift in our business model. So, I wanna be clear about that. We’re just gonna try this and get some workloads out there. So, you’ll see some revenue, but we’re not expecting to be big revenue off the hardware side.
Around LDA, your question about, “How does it really work?” It’s a very favorable and friendly way for us to do our fundraising. What we’ve done, we provide a certain number of shares to LDA. We specify a period of time that they can really start to market. We set a minimum price that they can’t sell below. And they take 8.5% for that service. All the details are in our financial filings if people wanna know more.
Marc: And so, going forward, you’ll still be using that structure or other sources of funding that you’re looking at?
Sean: You know, as a CEO and our CFO and our board, we’re evaluating all options for funding, and needs, quite frankly.
Marc: Sorry, and…
Sean: And the need, right?
Marc: And the need. Yeah, of course. Yeah. All right. Last question. What can investors look forward to in terms of sort of milestones in the next 12 months?
Sean: I think the next 12 months are critical for BrainChip, right, in a lot of ways. Now, when I came here two years ago, I think it was roughly two years this week, actually, the company was just really exiting its R&D phase. Now, we had just released a chip, but there was, you know, minimal sales, minimal salespeople.
We had minimal marketing presence. We had just realized, you know, our Generation 1 was narrow and focused. So, this last period of time, a lot of work went to creating Generation 2, which we believe is the product that the company is gonna be built on for the coming years.
We revamped our entire sales organization. We now have sales presence around the world. We have people in Korea, Japan, Israel, Europe, United States.
We’ve got a world-class marketing organization. So, we’re in that position now, where we’re now we talked a little bit about the pipeline as well. We’re in a very different position than two years ago. So, the next 12 months is critical. So, what can people expect from us? Certainly more partnership agreements.
That’s a critical part of our success. I made a comment at the AGM that we’re gonna accelerate our product development. So, look for more product announcements from us. And also look for announcements around engagement so we’re hopefully gonna be winning.
Marc: Exciting times then.
Sean: Very exciting times there.
Marc: Good stuff. Thank you very much, Sean.
Sean: Thank you, Marc.
Perhaps
Regular
Dedicated to a rainy and cloudy Saturday. A DFD (Database For Detectives) containing Brainchip employees and associates. Well known management not added:
US:
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France:
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India:
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Australia:
Germany:
Israel:
US:
Nikunj Kotecha - BrainChip | LinkedIn
🚀 I'm a dedicated AI professional with 6 years of experience in Machine Learning… · Experience: BrainChip · Education: Rochester Institute of Technology · Location: Los Angeles Metropolitan Area · 500+ connections on LinkedIn. View Nikunj Kotecha’s profile on LinkedIn, a professional community...
Daniel Keller - BrainChip | LinkedIn
Experience: BrainChip · Education: Portland State University · Location: Laguna Hills · 408 connections on LinkedIn. View Daniel Keller’s profile on LinkedIn, a professional community of 1 billion members.
Puneeth Reddy - BrainChip | LinkedIn
ASIC Digital Design Engineer with Experience ranging from Micro Architecture, Writing… · Experience: BrainChip · Education: University of Southern California · Location: Los Angeles · 475 connections on LinkedIn. View Puneeth Reddy’s profile on LinkedIn, a professional community of 1 billion...
Jens Paetau - BrainChip | LinkedIn
Director/VP Sales<br><br>• Focused on tier one accounts with strong relationships in the… · Experience: BrainChip · Location: San Francisco Bay Area · 500+ connections on LinkedIn. View Jens Paetau’s profile on LinkedIn, a professional community of 1 billion members.
Sushama Desai - BrainChip Holdings Limited | LinkedIn
FPGA Design and ASIC/FPGA/SOC verification. SV/UVM, VHDL, C/C++ based TB's. · Experience: BrainChip Holdings Limited · Education: SDMCET · Location: Cerritos · 243 connections on LinkedIn. View Sushama Desai’s profile on LinkedIn, a professional community of 1 billion members.
Olivier Coenen - BrainChip | LinkedIn
Olivier Coenen has been an early pioneer of brain-inspired processing and modeling with… · Experience: BrainChip · Education: University of California, San Diego · Location: San Diego County · 500+ connections on LinkedIn. View Olivier Coenen’s profile on LinkedIn, a professional community of 1...
Roman Kochan - BrainChip Holdings Limited | LinkedIn
• Versatile experience in software development, project management, and performance… · Experience: BrainChip Holdings Limited · Education: California State University-Long Beach · Location: Irvine · 293 connections on LinkedIn. View Roman Kochan’s profile on LinkedIn, a professional community of...
Diksha Saxena - The Research Foundation for SUNY | LinkedIn
‘Attention is all you need’ - interesting thought, one that changed the course of the… · Experience: The Research Foundation for SUNY · Education: University at Buffalo · Location: Washington DC-Baltimore Area · 500+ connections on LinkedIn. View Diksha Saxena’s profile on LinkedIn, a...
Mujahir Abbasi - University of Nebraska-Lincoln | LinkedIn
I am an experienced Data Science professional, interned at Brainchip in Summer 2023 and… · Experience: University of Nebraska-Lincoln · Education: California State University, Los Angeles · Location: Los Angeles Metropolitan Area · 500+ connections on LinkedIn. View Mujahir Abbasi’s profile on...
France:
Richard Chevalier - BrainChip Holdings Limited | LinkedIn
¤ Embedded systems, low level drivers, HW bringup, real time OS (RTXC RTOS / Linux… · Experience: BrainChip Holdings Limited · Education: Ecole nationale supérieure des Télécommunications · Location: Greater Toulouse Metropolitan Area · 435 connections on LinkedIn. View Richard Chevalier’s...
Gilles Bézard - Senior Software Engineering Manager - BrainChip Holdings Limited | LinkedIn
View Gilles Bézard’s profile on LinkedIn, the world’s largest professional community. Gilles has 10 jobs listed on their profile. See the complete profile on LinkedIn and discover Gilles’ connections and jobs at similar companies.
Alvaro Moran - Hugging Face | LinkedIn
Experience: Hugging Face · Education: Università degli Studi di Genova · Location: Toulouse · 500+ connections on LinkedIn. View Alvaro Moran’s profile on LinkedIn, a professional community of 1 billion members.
Johan Steven Mejía Mogollón - BrainChip | LinkedIn
I am known for being a responsible, autonomous and respectful person. I have several… · Experience: BrainChip · Education: IMT Atlantique · Location: Toulouse · 327 connections on LinkedIn. View Johan Steven Mejía Mogollón’s profile on LinkedIn, a professional community of 1 billion members.
Branham MOUATA - BrainChip | LinkedIn
Mouata Branham, ingénieur recherche et développement à Continental · Experience: BrainChip · Education: ENSEEIHT · Location: Toulouse · 500+ connections on LinkedIn. View Branham MOUATA’s profile on LinkedIn, a professional community of 1 billion members.
Nezar Lheimeur - BrainChip Holdings Limited | LinkedIn
With an innate passion for technology and an insatiable curiosity that has been with me… · Experience: BrainChip Holdings Limited · Education: MINES ParisTech · Location: Toulouse · 500+ connections on LinkedIn. View Nezar Lheimeur’s profile on LinkedIn, a professional community of 1 billion...
Matthieu HERNANDEZ - BrainChip | LinkedIn
Programmeur C++/C# passionné par l'intelligence artificielle , le deep learning et les… · Experience: BrainChip · Education: Université Paris Descartes · Location: Suresnes · 90 connections on LinkedIn. View Matthieu HERNANDEZ’s profile on LinkedIn, a professional community of 1 billion members.
India:
Mahesh Oduru - BrainChip | LinkedIn
Specialties: Ability to handle challenges in verification.<br><br>Protocol IP… · Experience: BrainChip · Education: Staffordshire University · Location: Hyderabad · 500+ connections on LinkedIn. View Mahesh Oduru’s profile on LinkedIn, a professional community of 1 billion members.
Bhoomika Srinath - BrainChip | LinkedIn
Being an ardent DV Engineer and dirtying my hands with plethora of technologies right… · Experience: BrainChip · Education: Maharaja institute of technology mysore · Location: Mysore · 500+ connections on LinkedIn. View Bhoomika Srinath’s profile on LinkedIn, a professional community of 1...
sreekanth nanduri - BrainChip | LinkedIn
With 3+ years of experience in the embedded field I have contributed to developing BSP… · Experience: BrainChip · Education: CMR Engineering College · Location: Hyderabad · 68 connections on LinkedIn. View sreekanth nanduri’s profile on LinkedIn, a professional community of 1 billion members.
Australia:
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Frangipani
Regular
Zach Shelby’s Imagine 2023 Keynote (September 27) is now online… From around the 12 min mark, he reiterates that Edge Impulse is focusing on Digital Health and Industrial Productivity and talks about some of the customer use cases they are working on. No mention of Brainchip as far as I remember, except on that slide that was shared here before, but nevertheless an interesting presentation.
DingoBorat
Slim
Definitely is worth a watch
'Replicator' revealed: Pentagon initiative to counter China with mass-produced autonomous systems - Breaking Defense
Though being "cagey" about details, Deputy Secretary of Defense Kath Hicks said the new Replicator program is meant to get "multiple thousands" of autonomous systems in the hands of servicemembers with two years.
“To stay ahead, we’re going to create a new state of the art — just as America has before — leveraging attritable, autonomous systems in all domains — which are less expensive, put fewer people in the line of fire, and can be changed, updated or improved with substantially shorter lead times"
Just imagine "multiple thousands" (100's if they hope to outscale China?) of autonomous weaponry and all connected to something like Optus internet
..Or maybe they have "real" autonomous, genuine, ridgy didge Far Edge, in mind?..
Coincidentally, there's Northrup Grumman promotional material, sprinkled through the page of the article..
The World is going to become, a little more scary in the future..
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Pom down under
Regular
I wonder if his any good at sales and I wonder why BRN ain’t advertised for a new salesman yet?
www.bbc.com
Sam Altman: The extraordinary firing of an AI superstar
Sam Altman, one of the biggest names in tech, was sacked from ChatGPT-maker OpenAI without warning.
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Pom down under
Regular
I did spot brainchip pop up in the video
Plus many more videos if anyone is interested
Plus many more videos if anyone is interested
Pom down under
Regular
A Sunday morning read for you old folk in the group
Pom down under
Regular
Mercedes-Benz Commits to Revolutionizing In-Car Assistance with AI Technology
Mercedes-Benz Commits to Revolutionizing In-Car Assistance with AI Technology TS2 SPACE
ts2.space
Allow me to offer a different perspective.
All senior management is aware of inner company dealings, contract bids, new engagements, goals, budgetary issues and product developments.......and other goings-on that the company is sworn to secrecy....NDAs and the like, buyout and merger feelers, bond offerings and stock offerings
Balance that against the fact that we read about insider buys and sells frequently in other companies. All the time really. I believe there are newsletters that track these potential 'indicators'. So ask yourself how could an insider ever buy or sell in the open market if they know so much that is both positive and negative for that specific company.
Well there are rules...blackout (quiet) periods before and after earnings, pending announcements that an average investor would expect to alter the perceived value of the company (that you shouldn't be sharing with your brother-in-law broker).....ie things that you could be sent to jail for. You know...your product doesn't work, inklings of fraud, government auditors appearing unscheduled....you get the picture.
Well BRN.AX has rarely triggered any of these conditions outside of certain earnings blackouts and major announcements such as tape-outs or IP sales.
Insiders can buy and sell frequently regardless of what Sean MAY have led some shareholders to believe.
And insider buying shows great confidence in the company's prospects.
So management, let's pony up and demonstrate some confidence.
Quiltman
Regular
Mercedes-Benz Commits to Revolutionizing In-Car Assistance with AI Technology
Mercedes-Benz Commits to Revolutionizing In-Car Assistance with AI Technology TS2 SPACE
This really is an excellent article, thanks for sharing. While it does not explicitly say BrainChip, we do know from the recent podcast (ie. all announced relationships are still active) that development with Mercedes- Benz continues ... and this does look very promising, fitting with all that we know.
A couple of extracts :
Mercedes-Benz CEO Ola Kaellenius revealed the company’s vision for a future where every Mercedes-Benz car is equipped with a state-of-the-art “super assistant” powered by artificial intelligence. Set to be fully implemented by 2025, this cutting-edge technology aims to revolutionize the driving experience by making every journey more convenient and safe.
Expanding on the promising advancements in AI, Mercedes-Benz envisions a super assistant that goes beyond traditional in-car assistance systems. It will be capable of learning and adapting to individual driver preferences, offering a personalized experience like never before. By analyzing data collected from various sensors and cameras, the AI-powered assistant will enhance driver awareness, predict potential hazards, and provide real-time recommendations to enhance safety on the road.
Q: What is the “super assistant” announced by Mercedes-Benz?
A: The “super assistant” is a cutting-edge technology powered by artificial intelligence that will be equipped in every Mercedes-Benz car by 2025.
Key Terms and Jargon:
– Artificial Intelligence: In the context of the article, it refers to technology that enables computers or machines to mimic human intelligence and perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
Pom down under
Regular
Thanks for reposting and doing what I can’t be arsed to do lol
BMW rolls out self-driving system that lets drivers watch videos, write emails
A new BMW automated driving system that lets drivers take their eyes off the road for other activities such as writing emails or watching videos will soon be sold in Germany.
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