BRN Discussion Ongoing
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HopalongPetrovski
I'm Spartacus!
rgupta
Regular
Smoothsailing
Regular
Indeed it puts a big question mark over the 3 year lead doesn’t it.
I would most definitely like to hear management thoughts on this if we are NOT involved ….than this question needs to be answered 100%
rgupta
Regular
Let us wait and watch.
I love this kind of sarcasm! It gives kind of a freshness into the debate.. okok let’s try this… if akida is not in the whole Tesla program incl. falcon etc… I will fire Rob !
DingoBorat
Slim
"At least because Ai has to be everywhere at the moment, 'no' company can avoid the topic"At least because Ai has to be everywhere at the moment, 'no' company can avoid the topic, it has to be worth a try and there is subsidy money and there have to be conditions for investments in future tec and the old one is out of the question. Just yesterday I saw a global analysis of Ai and where it is taking place, in addition to research. I couldn't see Germany at a quick glance. But maybe I'll have another look to see if I can find it again. What interests me are products that can be bought from companies like those in Germany.) Just because companies are running a research lab here and dropping slices by slices of white paper on projects because they have obviously or perhaps lost touch doesn't convince me to be confident that Germany plays a really important role in this topic. So far, I'm taking MB's hub seriously.
I'm one of the sceptics, but I'm happy to be proven wrong. But I don't want to get into debate 'loops', as I'm just an observer from the sidelines and don't have serious insight and I'm not a politician too.
It would literally be like shooting fish in a barrel, for the BrainChip sales team, in the current environment.
Even ol snake eyes, would have met his targets.
There is absolutely no doubt in my mind, that they are extremely busy.
Don't let the absence of visible progress on the sales front fool you, or anyone here.
I can only repeat myself. There are indeed some small investors who, through their daily meticulous tracking of Akida and the posting of many contributions, believe they have a VIP status and claims against BrainChip. For example, insight into confidential contracts or demanding immediate clarification of certain issues.
I would like to remind once again that we are only voluntary investors who want a piece of the money. The private interest in the technology or the company, or because one is an investor, does not give anyone the right to be rude to the founders or to question their competence. Anyone who now says, "As an investor, I have the right to..." yes, and in this case, there are scheduled votes in which you can participate. With all other demands and interference, one makes oneself ridiculous. So continue to make your research and postings and let the management work!
I would like to remind once again that we are only voluntary investors who want a piece of the money. The private interest in the technology or the company, or because one is an investor, does not give anyone the right to be rude to the founders or to question their competence. Anyone who now says, "As an investor, I have the right to..." yes, and in this case, there are scheduled votes in which you can participate. With all other demands and interference, one makes oneself ridiculous. So continue to make your research and postings and let the management work!
CHIPS
Regular
Our CTO thinks this is great
Marc Theermann on LinkedIn: Meet our next generation Atlas! A humanoid designed for commercial… | 223 comments
Meet our next generation Atlas! A humanoid designed for commercial applications. We are taking all we have learned over 15 years of research on our hydraulic… | 223 comments on LinkedInwww.linkedin.com
View attachment 61029 View attachment 61030
Anthony Lewis is a great fan of robotics, so it is not surprising that he celebrates this. This does not necessarily have anything to do with BrainChip.
rgupta
Regular
To me where ever it ends it will be big positive for brainchip and my reasons are
1. It will be big affirmation to ideology of brainchip i.e cloud free processing at the edge
2. Apple is one of the biggest customer of arm and I assume arm tech should have a lot in apple technology. We are fully compatible with arm, which means implementation of akida cores can be quite straigh forward.
3. No one company can capture 100% market share of a product and even if apple does not use us their competitors will need us and looking at our MC that will be a big plus for SH.
4. From the Mercedes what we learned technology is revolutionary but applying the same for commercial usage have its own limitations and no big company will try the same until they find it fool proof. Apple have a history of keep quite until they blast the market.
So I still feel even if we are not there yet, we will there is near future very soon.
Biggest plus to me atleast a company as big as apple is feeling a need for technology like that.
So yes in the end let us wait and watch but to me in all aspects it will be a big positive development for overall develop of brainchip as a tech company.
cassip
Regular
Hi all,
could be interesting:
"SAN FRANCISCO, April 17 (Reuters) - SiTime (SITM.O)
on Wednesday introduced a chip that it says is designed to help data centers built for artificial intelligence applications run more efficiently.
SiTime makes what are known as timing chips, whose job is set a steady beat for all the parts of a computer and keep them running together in sync, like a conductor in an orchestra directing multiple groups of instruments. The company says its new line of chips, called Chorus, can do so with 10 times more precision than older styles of timing chips.
SiTime CEO Rajesh Vashist said the company aims to help customers save electricity with that precision. SiTime's chips themselves require less than a watt of power, but powerful AI chips such as Nvidia's (NVDA.O)
, opens new tab require more than 1,000 watts of power.
With a more precise clock to keep all the elements of a computer in sync, parts of the machine can be turned off for a few milliseconds at a time when they are not in use. Over the multiple years a power-hungry data center server might be in use, it can generate energy savings, though the amount will depend on how SiTime's chips are used.
"We deliver timing that they can rely on so that they can wake up their products and bring data more efficiently to them, rather than just running more often," Vashist said in an interview.
SiTime said the chips will be available in the second half of this year."
SiTime was discussed here. It is owned by MegaChips (?).
Regards
Cassip
could be interesting:
"SAN FRANCISCO, April 17 (Reuters) - SiTime (SITM.O)
on Wednesday introduced a chip that it says is designed to help data centers built for artificial intelligence applications run more efficiently.
SiTime makes what are known as timing chips, whose job is set a steady beat for all the parts of a computer and keep them running together in sync, like a conductor in an orchestra directing multiple groups of instruments. The company says its new line of chips, called Chorus, can do so with 10 times more precision than older styles of timing chips.
SiTime CEO Rajesh Vashist said the company aims to help customers save electricity with that precision. SiTime's chips themselves require less than a watt of power, but powerful AI chips such as Nvidia's (NVDA.O)
, opens new tab require more than 1,000 watts of power.
With a more precise clock to keep all the elements of a computer in sync, parts of the machine can be turned off for a few milliseconds at a time when they are not in use. Over the multiple years a power-hungry data center server might be in use, it can generate energy savings, though the amount will depend on how SiTime's chips are used.
"We deliver timing that they can rely on so that they can wake up their products and bring data more efficiently to them, rather than just running more often," Vashist said in an interview.
SiTime said the chips will be available in the second half of this year."
SiTime was discussed here. It is owned by MegaChips (?).
Regards
Cassip
I wouldn't be so sure. Personally i think there's a better than average chance we're involved with Hyundai.
Not the first boston dynamics post brn staff have liked either
Imo dyor
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KMuzza
Mad Scientist
Hi Draed,
Check this out with your article.
BUT look at the LAST FRAME-at -3.min12-????. incase you miss the 00.01 FIRST FRAME.
Gaby Hayon on LinkedIn: Mobileye SuperVision™ is equipped with 360-degree, full surround…
Mobileye SuperVision™ is equipped with 360-degree, full surround high-definition computer vision perception (based on 11 cameras – 7 long-range and 4…
In Japan as well - but a possible???. All Cameras. ???.
(yes - 1year old)
AKIDA BALLISTA UBQTS.
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KMuzza
Mad Scientist
Hi Draed,
Check this out with your article.
BUT look at the LAST FRAME-at -3.min12-????. incase you miss the 00.01 FIRST FRAME.
Gaby Hayon on LinkedIn: Mobileye SuperVision™ is equipped with 360-degree, full surround…
Mobileye SuperVision™ is equipped with 360-degree, full surround high-definition computer vision perception (based on 11 cameras – 7 long-range and 4…
In Japan as well - but a possible???. All Cameras. ???.
(yes - 1year old)
AKIDA BALLISTA UBQTS.
The chip offers 4.5 times more computing horsepower compared with its prior generation and is manufactured with Taiwan Semiconductor Manufacturing Co's (2330.TW), opens new tab 7-nanometer process.
"It can support all five star ratings globally, but be extremely power efficient and cost efficient," Nehushtan said. "That's kind of the mission statement of this chip."
The sensors on EyeQ6L include an 8-megapixel camera that is capable of a 120-degree lateral field of vision that can detect environmental conditions and objects at a greater distance.
The company said its more advanced assisted-driving chip, the EyeQ6 High, is set to enter volume production "early next year."
Mobileye is set to report first-quarter results on April 25.
The Technology Roundup newsletter brings the latest news and trends straight to your inbox. Sign up here.
Reporting by Max A. Cherney and Abhirup Roy in San Francisco; Additional reporting by Yuvraj Malik in Bengaluru; Editing by Leslie Adler
Evening KMuzza ,
Obviously a very cool chip , with sales to boot.
The only mob that we have , had , a confirmed partnership with was....
MAGIK EYE as opposed to this company called MOBILEYE.
MAGIK EYE was / is a Japanese company when thay were announced as a partner ......some time ago.
From memory over 2 years ago.
magik-eye.com
brainchip.com
Would be nice though , ...who knows... I certainly do not.
Regards,
Esq.
Obviously a very cool chip , with sales to boot.
The only mob that we have , had , a confirmed partnership with was....
MAGIK EYE as opposed to this company called MOBILEYE.
MAGIK EYE was / is a Japanese company when thay were announced as a partner ......some time ago.
From memory over 2 years ago.
Magik Eye Inc.
The Magik Eye sensor is revolutionizing how machines see the world. We’ve put together a team of leading experts in optical science and computer vision to reinvent 3D vision, making it more performant, more reliable, and much less expensive.
magik-eye.com
BrainChip Inc and Magik Eye Inc. Partner to Combine Best of AI with 3D Sensing for Total 3D Vision Solution
BrainChip Inc and Magik Eye Inc. Partner to Combine Best of AI with 3D Sensing for Total 3D Vision Solution
brainchip.com
Would be nice though , ...who knows... I certainly do not.
Regards,
Esq.
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Pom down under
Top 20
Boston Dynamics humanoid robot Atlas HD is retired
Boston Dynamics' human-like Atlas robot is "retired" after 11 years.
KMuzza
Mad Scientist
Hi Esq-Evening KMuzza ,
Obviously a very cool chip , with sales to boot.
The only mob that we have , had , a confirmed partnership with was....
MAGICEYE as opposed to this company called MOBILEYE.
MAGICEYE was / is a Japanese company when thay were announced as a partner ......some time ago.
From memory over 2 years ago.
Magik Eye Inc.
The Magik Eye sensor is revolutionizing how machines see the world. We’ve put together a team of leading experts in optical science and computer vision to reinvent 3D vision, making it more performant, more reliable, and much less expensive.
Would be nice though , ...who knows... I certainly do not.
Regards,
Esq.
Architecture of Efficiency
- low power envelope.
-Heterogenous Computing.
Using the most suitable core for each task.
-...including deep learning neural networks.
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Love what you are laying down , and in my mind ticks several boxes .... though shall refer to @Diogenese if he would be so kind to comment.
Regards,
Esq.
GazDix
Regular
Rob Telson was Vice President of Worldwide Foundry Sales for ARM before he joined Brainchip.
This is all I need to know.
cosors
👀
View attachment 61021
View attachment 61023
Intel Builds World’s Largest Neuromorphic System to Enable More...
Hala Point, the industry’s first 1.15 billion neuron neuromorphic system, builds a path toward more efficient and scalable AI.www.intel.com
Link to the conference paper Mike Davies refers to:
It looks like Akida is not mentioned alongside other neuromorphic hardware platforms…
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View attachment 61025
"Intel builds world’s largest neuromorphic system
News AnalysisApr 17, 2024
Code-named Hala Point, the brain-inspired system packs 1,152 Loihi 2 processors in a data center chassis the size of a microwave oven.
Quantum computing is billed as a transformative computer architecture that’s capable of tackling difficult optimization problems and making AI faster and more efficient. But quantum computers can’t be scaled yet to the point where they can outperform even classical computers, and a full ecosystem of platforms, programming languages and applications is even farther away.
Meanwhile, another new technology is poised to make a much more immediate difference: neuromorphic computing.
Neuromorphic computing looks to redesign how computer chips are built by looking at human brains for inspiration. For example, our neurons handle both processing and memory storage, whereas in traditional computers the two are kept separate. Sending data back and forth takes time and energy.
In addition, neurons only fire when needed, reducing energy consumption even further. As a result, neuromorphic computing offers massive parallel computing capabilities far beyond traditional GPU architecture, says Omdia analyst Lian Jye Su. “In addition, it is better at energy consumption and efficiency.”
According to Gartner, neuromorphic computing is one of the technologies with the most potential to disrupt a broad cross-section of markets, as “a critical enabler,” however, it is still three to six years away from making an impact.
Intel has achieved a key milestone, however. Today, Intel announced the deployment of the world’s largest neuromorphic computer yet, deployed at Sandia National Laboratories.
The computer, which uses Intel’s Loihi 2 processor, is code named Hala Point, and it supports up to 20 quadrillion operations per second with an efficiency exceeding 15 trillion 8-bit operations per second per watt – all in a package about the size of a microwave oven. It supports up to 1.15 billion neurons and 128 billion synapses, or about the level of an owl’s brain.
According to Intel, this is the first large-scale neuromorphic system that surpasses the efficiency and performance of CPU- and GPU-based architectures for real-time AI workloads. Loihi-based systems can perform AI inference and solve optimization problems 50 times faster than CPU and GPU architectures, the company said, while using 100 times less energy.
And the technology is available now, for free, to enterprises interested in researching its potential, says Mike Davies, director of Intel’s Neuromorphic Computing Lab.
To get started, companies should first join the Intel Neuromorphic Research Community, whose members include GE, Hitachi, Airbus, Accenture, Logitech, as well as many research organizations and universities – more than 200 participants as of this writing. There is a waiting list, Davies says. But participation doesn’t cost anything, he adds.
“The only requirement is that they agree to share their results and findings so that we can continue improving the hardware,” Davies says. Membership includes free access to cloud-based neuromorphic computing resources, and, if the project is interesting enough, free on-site hardware, as well.
“Right now, there’s only one Hala Point, and Sandia has it,” he says. “But we are building more. And there are other systems that are not as big. We give accounts on Intel’s virtual cloud, and they log in and access the systems remotely.”
Intel was able to build a practical, usable, neuromorphic computer by sticking with traditional manufacturing technology and digital circuits, he says. Some alternate approaches, such as analog circuits, are more difficult to build.
But the Loihi 2 processor does use many core neuromorphic computing principles, including combining memory and processing. “We do really embrace all the architectural features that we find in the brain,” Davies says.
The system can even continue to learn in real time, he says. “That’s something that we see brains doing all the time.”
Traditional AI systems train on a particular data set and then don’t change once they’ve been trained. In Loihi 2, however, the communications between the neurons are configurable, meaning that they can change over time.
The way that this works is that an AI model is trained – by traditional means – then loaded into the neuromorphic computer. Each chip contains just a part of the full model. Then, when the model is used to analyze, say, streaming video, the chip already has the model weights in memory so it processes things quickly – and only if it is needed. “If one pixel changes, or one region of the image changes from frame to frame, we don’t recompute the entire image,” says Davies.
The original training does happen elsewhere, he admits. And while the neuromorphic computer can update specific weights over time, it’s not retraining the entire network from scratch.
This approach is particularly useful for edge computing, he says, and for processing streaming video, audio, or wireless signals. But it could also find a home in data centers and high-performance computing applications, he says.
“The best class of workloads that we found that work very well are solving optimization problems,” Davies says. “Things like finding the shortest path through a map or graph. Scheduling, logistics – these tend to run very well on the architecture.”
The fact that these use cases overlap with those of quantum computing was a surprise, he says. “But we have a billion-neuron system shipped today and running, instead of a couple of qubits.”
Intel isn’t the only player in this space. According to Omdia’s Su, a handful of vendors, including IBM, have developed neuromorphic chips for cloud AI compute, while companies like BrainChip and Prophesee are starting to offer neuromorphic chips for devices and edge applications.
However, there are several major hurdles to adoption, he adds. To start with, neuromorphic computing is based on event-based spikes, which requires a complete change in programming languages.
There are also very few event-driven AI models, Su adds. “At the moment, most of them are based on conventional neural networks that are designed for traditional computing architecture.”
Finally, these new programming languages and computing architectures aren’t compatible with existing technologies, he says. “The technology is too immature at the moment,” he says. “It is not backwardly compatible with legacy architecture. At the same time, the developer and software ecosystem are still very small with lack of tools and model choices.”*"
Intel builds world's largest neuromorphic system
Intel's newest neuromorphic computer is deployed at Sandia National Laboratories. Code-named Hala Point, the brain-inspired system packs 1,152 Loihi 2 processors in a data center chassis the size of a microwave oven.
*Question for the techies among us. Is it like this how the analyst from them describes it here?
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