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Guess he brought high on the fomo
BRN Discussion Ongoing
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Dhm
Regular
"It always has and it always will." Yes. I believe we are in the midst of a secular bull market brought on by a number of reference points: AI, robotics, relatively low interest rates, humanity's constant will to succeed and I'm sure there are others as well. Oh, and the fact that the failures fall out of the equity index and the new up and comers enter the index and pump it up. For example Tesla. And certainly Brainchip!!
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Fact Finder
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He must a member of the CCP as the facts are well and truly against him. The US leads and the Chinese admit it:
Is the world splitting into opposing science ‘blocs’?
China and the United States have kicked off a race for supremacy in global science and technology and some fear it could lead to an emerging division ...
www.universityworldnews.com
My opinion only DYOR
FF
AKIDA BALLISTA
Fact Finder
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May have been posted previously as I recall someone posting an interview with Chittipeddi of Renesas but maybe this is a diff one?
Interesting all the same & bold a couple points that fit Akida
What is Driving AI to the Edge?
Dr. Sailesh Chittipeddi, Executive VP & General Manager for IoT & Infrastructure at Renesas, talks about artificial intelligence in edge-computing nodes.www.electronicdesign.com
Handling machine-learning chores at the edge is becoming more common as tools and hardware have improved. Editor Bill Wong talks with Dr. Sailesh Chittipeddi, Executive VP & General Manager for IoT & Infrastructure at Renesas, about artificial intelligence in edge-computing nodes. Check out the video or its transcript:
Wong: Well, artificial intelligence and machine learning to edge-computing nodes is becoming more common these days, especially as microcontrollers and SOCs gained support for machine-learning inference models. Today I'm speaking with Dr. Sailesh Chittipeddi, who is Executive Vice President and General Manager of IoT & Infrastructure business at Renesas.
Hopefully, we'll be getting a better understanding of this trend. So to start with, the advantages of centralized cloud resources have made AI in the cloud very popular. Where do you see AI at the edge or even the endpoint? How does it fit into the mix?
Chittipeddi: Good question, Bill, and thank you for having me. Let me begin by kind of talking about the dominance of the edge of AI in the cloud. Primarily that's been the sweet spot for a long period of time.
Obviously, there's always going to be workloads where it makes a lot of sense to have it continue to be in the cloud; for example, things like weather forecasting and so on. It would never make sense to move that to the edge of the network, however, as computing becomes much more ubiquitous and powerful at the endpoint.
As we start getting much more capability to do even AI and tiny machine-learning capabilities at the end point of the network, we actually start to see significant enhancement of capabilities to do some of these inference models at the edge of the network, and that's driving a trend for moving certain workloads, not all, obviously, from the cloud to the endpoint of the network, and the trend that's driving this is the need for very low latency. Obviously, that's a very important factor in the discussion.
The second point also is the security aspect of it, which is equally important as you move towards the endpoint.
And then the third aspect, which is the need to be able to have instantaneous filters for stuff where you don't want to wait, for example, for the transit time, for information to go to the cloud and get it back right.
So even when you look at things like video surveillance, for example, where the initial trend was having all the processing done at the core of the network, if you will, the trend much more now is to have simpler facial-recognition models embedded in the video camera application itself.
So that's kind of broadly driving some of the trends that we're seeing. And power consumption obviously is another important factor. There is less power consumption at the end of the network, and it actually works a lot better relative to what needs to happen.
And the other thing also that I don't want to underestimate is our networks that are significantly improving quality moving from 4G to 5G networks, right? And that certainly provides us better capability in terms of driving some of these trends that we're seeing in the marketplace.
Wong: Well, what's driving the acceleration to moving AI to the endpoint? Is there additional hardware capabilities that are coming about? Are there improved pieces of software out there? What are the pieces?
Chittipeddi: Yeah. So there's both. Right. So there's two elements to it.
As I briefly mentioned earlier, one is the hardware element, which is a massive amount of compute power. A massive amount of computing at ultra-low power certainly helps. That's from a CPU perspective. But also you now have embedded AI solutions, whether it'd be spiking neural networks or whether it be CNN, either one of those, right. You have capabilities now of embedding AI together with our CPU to enhance the capabilities of AI at the end point. Something that you normally did not have before because the traditional model was consuming significant amount of power in order to handle the processing.
But now, actually, it's transitioning much more for the ability to serve the needs of the end point significantly better than was ever done before. Software certainly is an important factor. You know, the capabilities for doing these, the AI scripts, if you will, what I call inference scripts at the end point, and that certainly makes a big deal.
Then you have simplified libraries and compilers that are available for doing more AI at the endpoint of the network. So all those factors are driving the move to where we're seeing,
Wong: OK. So do you anticipate AI at the edge becoming the norm as opposed to the exception as it is right now?
Chittipeddi: I think there will always be a mixed bag, right? It's strong. Depends on the workloads that you're trying to handle, the workloads that are compute-intensive or CPU-intensive always continue to be done in the core of the network.
On the other hand, as the workloads get simplified, you'll find them increasingly moving towards the end point or towards the edge of the network. And I think you'll see that trend accelerated. That is a matter of fact as the number of devices that are connected at the end point increase.
You'll find this capability going up significantly by some estimates and I was looking at a piece of paper over here. There'll be 55 billion connected devices generating 73 zettabytes worth of data by 2025 and it's certainly not all in the cloud. So that kind of gives you an idea of the growth that you have in there.
Wong: Could you give some examples of AI endpoints that are starting to emerge?
Chittipeddi: So, voice being the biggest, voice features are certainly the most elementary example of that, but we have other technologies, even with the dinosaurs that we're working on that handle everything from video processing to preventive maintenance technologies using what we call our dynamically reconfigurable technologies (DRP) that we have, our DRP technologies, which is embedded AI using a feedforward neural network together with the core MPA in our devices.
This device, for example, one of the best examples that I can give, is it allows you to do simple facial-recognition technology at the end point. So it's got so sophisticated right now, Bill, that you have the ability now to be able to track certain faces in a crowd and pick them up in a crowd pretty close to the end part of the network.
And that's, you know, it has both its positives and its negatives. Of course, we prefer to focus on the positive aspects of it. But certainly that'll be a trend that will continue and then being able to look for defects within a line. That's something that you don't want to be waiting around for all the data to go up to the cloud. That's in line where you find out what a defect is. So those are kind of some of the simplest examples.
And then voice, having a subset of certain features being available at the end point is, of course, a trend that's continuing, and we're partnered with a number of other companies in this area to enhance that capability.
Wong: OK, what's the impact of communications bandwidth with respect to AI?
Chittipeddi: I mean, that's a good question. Certainly the endpoint to the edge, especially with 5G, becomes far more important, right? You have much more bandwidth now between the edge of the endpoint than you were able to do before and, certainly, that's good.
That's going to be a major contributing factor to anything that we're seeing in this particular area. But, also increasingly, even in terms of easier access to the core, the bandwidth is improving, whether it's optical networks or whether it's wireless networks.
There are trends that are driving favorability in that regard but, nonetheless, there always will be a need for the low latency factor between the edge and the end point that'll be contributing factors to helping this trend to its end point. I call it Edge II, if you will, because often times it still doesn't make sense to drive everything to the core of the network and then wait for the response, even though the latency times are improving significantly.
Wong: There's also low-speed networks like LoRaWAN, for example, where you really can't shove a lot of data back and forth.
Chittipeddi: Exactly like narrowband, IoT level like narrowband IoT, and so on. Then, of course, you have increasingly the ability to use Zigbee-based technologies for the simplest of sensors to be able to access information.
So, yeah, obviously that's a very important point as well for the data sets that don't that periodically send a burst of data. It is a contributing factor to what we're seeing as well.
Wong: Excellent. Well, thanks for the overview. It was very informative and I appreciate you speaking with us.
Chittipeddi: You're welcome.
Feed forward neural network is a bit of a giveaway.
My opinion only DYOR
FF
AKIDA BALLISTA
Afternoon Chippers,
BIG THANKYOU TO ALL CONTRIBUTOR'S.
Another tiresome day on the markets.
Good to see the big end of town still providing us all with , LIQUIDITY.
Feel sad for those who had to sell a few to cover bills or were simply manipulated into selling.
As several ' A ' grade posters here have said before, HAVE A PLAN & STICK TO IT.
As psychologically tricky as the last few days have been , there is good reason to believe that those with big trading budgets would not be putting in the time & dollars to test all of us if thay thought we had nothing to offer the world.
FUCKEM, I was thinking about selling a couple for a bit of coin , yet the truely underhanded way thay have gone about acquiring stock , well it's cemented my resolve to hold for many years.
Far to much excitement to come.
Onwards Chippers.
Regards,
ESq.
Fullmoonfever
Top 20
Doh...missed that one...nice pick up
wilzy123
Founding Member
Pretty compelling facts.
Major events are a traders delight (lolci) and a blip on the radar for long term investors.
Driving back from Canberra to Sydney a few decades ago in a company Commodore which had the handling characteristics of a feather bed, on a 110 kph straight 4-lane divided section with a very wide median (30 metres +), I was in the left lane and had clear view of an empty steel framed double decker car transporter a fair way ahead pointing in the same general direction (Sydney bound) in the median on an otherwise clear section of road. The transporter was oriented as if it were attempting a U-turn in that the prime mover was angled to the right.
I pulled into the right lane to overtake a slower vehicle to which I paid due attention.
By the time I returned my eyes to the front, the transporter had reversed back into the Sydney bound overtaking lane and was only metres away. Fortunately the lanes were very wide and I was just clear of the slower vehicle, but the swerve tested the gripping capacity of the tyres to the max. I can still see the corner of the steel framed trailer missing my driving mirror by inches (or was it centimeters?).
All of which is to say that, in perfect conditions, and without undue distraction, you can kill yourself if some other idiot is willing to assist.
So, yeah, defensive driving and Lidar have place.
Hi @Bombersfan not brining that shit over here Just wanted to say people are still over there are being shit and we need top be careful. cheers
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BaconLover
Founding Member
Hi Baisyet, most people left that place for a reason.
Would be really appreciated if you don't bring their posts here. We don't need discussions based on those comments here.
Sure no Problem @BaconLover not trying to bring anything over and create a discussion just wanted to create awareness amongst us as people are still trying hard to rubbish us. I am a long term holder as many of you know it really pisses me off as well when I see those kind of post. Will not bring anything over. Some times we need to watch out for what is happening at the other side too just a thought.
will not bring anything over from anywhere for sure.
sorry if i have done anything wrong.
Thank you. Let's talk about good things only
BaconLover
Founding Member
Nah you haven't done anything wrong, it was just my opinion.
We already know there are trash talkers there, and I must say over the last week or so even during this downturn on my portfolio, reading constructive posts have helped me remain at peace.
Plenty of attacks against BRN even during a time when the whole market is down, but that has strenghtened my opinion that we have something special. GL.
Well said, I promise to work hard to keep it this way for all members and stocks. What a relief it's been not having to put up with hellish behaviour from trolls. Rejoice!
JK200SX
Regular
Sam
Nothing changes if nothing changes
Realistically I think we should be ecstatic about the BRN share price being over $1. Everyone who has done their research knows the full potential of this company and what it can achieve in the coming years, and I don’t just mean share price…. It is only just starting to heat up ladies and gents, give it time, announcements will drop when they drop. I think I’m going to be known as the patients guy. Patients is key
please keep up the good work all, and keep your cool 
please keep up the good work all, and keep your cool @BaconLover I totally agree with the downturn and being here also helped me to be in mental peace and navigate through the research . I know if we were still there we would have lost our sanity. Cheers
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Fact Finder
Top 20
There is always room for factually based criticism of the company, it’s management and it’s technology.
There is always room for shareholders to express their feelings in the form of questions.
Unlike HC there should never be room for attempts to induce panic.
Unlike HC there should never be room for posts designed to inhibit a shareholders ability to make a rational decision about whether to buy or sell shares and cause them to abandon their considered investment plan.
My opinion only DYOR
FF
AKIDA BALLISTA
There is always room for shareholders to express their feelings in the form of questions.
Unlike HC there should never be room for attempts to induce panic.
Unlike HC there should never be room for posts designed to inhibit a shareholders ability to make a rational decision about whether to buy or sell shares and cause them to abandon their considered investment plan.
My opinion only DYOR
FF
AKIDA BALLISTA
BaconLover
Founding Member
Absolutely! Which is why we have a competitive analysis thread.
Would love if people find stuff and post there, it is a great opportunity to learn and also for Dio to post ogres.
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