Thanks FF
BRN Discussion Ongoing
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BaconLover
Founding Member
Its a free market, if you think it's a high market cap you can sell out, and buy back when you see higher revenues. Nobody here will stop you.
Slymeat
Move on, nothing to see.
As I read the key, any release with known vulnerabilities would be shaded pink. But as none are shaded, I think this means there are no releases with known vulnerabilities.What is this sorcery
Particularly interested in the known vulnerabilities partakida Changelog - pyup.io
pyup.io
BaconLover
Founding Member
View attachment 8802
Arm on LinkedIn: #onarm
Meet the new Arm Mali-C55 image signal processor 👋 our smallest and most configurable ISP ever. What's new with this generation? 🔵 It delivers improved…www.linkedin.com
.https://www.arm.com/company/news/2022/06/arm-introduces-new-isp-to-advance-vision-systems-for-iot-and-embedded-markets?utm_source=linkedin&utm_medium=social&utm_campaign=2022_embiot-lowp_mk02_arm_na_na_na&utm_content=newsroom
News highlights:
- Arm Mali-C55 is the smallest and most configurable image signal processor from Arm, already seeing success with licensees such as Renesas
- Delivers improved image quality and higher performance for advanced embedded and IoT vision systems with half the silicon area of previous generations
- Multi-camera high resolution support and seamless integration for more machine learning on-device offers new capabilities for silicon partners and OEMs
- Multi-camera high resolution support and seamless integration for more machine learning on-device offers new capabilities for silicon partners and OEMs
Fact Finder
Top 20
Royalties make companies. They are recurring and can be used to extrapolate future earnings.
Licence fees are one off’s that should not be used to value future revenue. They give uninformed investors a sugar hit but like a capital raise once spent they are gone.
A verified partnership with ARM for example without a license fee is worth far more than a license fee from ISL for example.
My opinion only DYOR
FF
AKIDA BALLISTA
BaconLover
Founding Member
In the recent Commsec interview, Sean Hehir did say they were reshuffling (paraphrasing, the exact word was different) their sales team.
Listen to 7:15 min mark.
This is a strategic decision as a part of regrouping the sales team and tightening the register imv.
Fact Finder
Top 20
FFFact Finder
Top 20
You should read the Galaxy Semiconductor website and the blog and you will see that it is clear they have brought him on board because they need someone to sell their new intelligent platform and given his background and experience you might think that this new platform will contain neuromorphic IP.
Apart from this he is a salesman not a principal engineer or Chief Scientist.
People at the sales level come and go all the time.
In net terms Brainchip gained Edge Impulse and its 4,000 engineering partners and lost one sales person it is clearly a net gain on the sales side of things of more than 3,999.
I SAID RECENTLY that those who seek to attack Brainchip have nothing left that has any credibility so over on HC they are left to try and fabricate a negative from a salesman leaving.
Pretty sad really.
Still not addressing the 1% challenge.
My opinion only DYOR
FF
AKIDA BALLISTA
Thanks @Fact Finder for the thorough response.
Dolci
Regular
...
Rise, Long term support failed to hold, as the double bottom is in play now, the MACD has crossed over to the down move, RSI is on the nose as well, it will take some news to turn this around to the up & I don't think it will be today...IMO
Rise, Long term support failed to hold, as the double bottom is in play now, the MACD has crossed over to the down move, RSI is on the nose as well, it will take some news to turn this around to the up & I don't think it will be today...IMO
Fact Finder
Top 20
Will be interesting to see whether ROC provides the promised response today or if it remains in a trading halt.
Fingers crossed for a quick outcome and a useful precedent for shareholders and Brainchip.
My opinion only DYOR
FF
AKIDA BALLISTA
Fingers crossed for a quick outcome and a useful precedent for shareholders and Brainchip.
My opinion only DYOR
FF
AKIDA BALLISTA
A chip that can classify nearly 2 billion images per second
Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural networks, where electrical equivalents of biological neurons are interconnected, trained with a...
Can someone comment on this, i read and it has many things in common with our chip.
Makeme 2020
Regular
A chip that can classify nearly 2 billion images per second
Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural networks, where electrical equivalents of biological neurons are interconnected, trained with a...techxplore.com
Can someone comment on this, i read and it has many things in common with our chip.
View attachment 8811
A chip that can classify nearly 2 billion images per second
by Melissa Pappas, University of Pennsylvania
Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural networks, where electrical equivalents of biological neurons are interconnected, trained with a set of known data, such as images, and then used to recognize or classify new data points.
In traditional neural networks used for image recognition, the image of the target object is first formed on an image sensor, such as the digital camera in a smart phone. Then, the image sensor converts light into electrical signals, and ultimately into the binary data, which can then be processed, analyzed, stored and classified using computer chips. Speeding up these abilities is key to improving any number of applications, such as face recognition, automatically detecting text in photos, or helping self-driving cars recognize obstacles.
While current, consumer-grade image classification technology on a digital chip can perform billions of computations per second, making it fast enough for most applications, more sophisticated image classification such as identifying moving objects, 3D object identification, or classification of microscopic cells in the body, are pushing the computational limits of even the most powerful technology. The current speed limit of these technologies is set by the clock-based schedule of computation steps in a computer processor, where computations occur one after another on a linear schedule.
To address this limitation, Penn Engineers have created the first scalable chip that classifies and recognizes images almost instantaneously. Firooz Aflatouni, Associate Professor in Electrical and Systems Engineering, along with postdoctoral fellow Farshid Ashtiani and graduate student Alexander J. Geers, have removed the four main time-consuming culprits in the traditional computer chip: the conversion of optical to electrical signals, the need for converting the input data to binary format, a large memory module, and clock-based computations.
They have achieved this through direct processing of light received from the object of interest using an optical deep neural network implemented on a 9.3 square millimeter chip.
The study, published in Nature, describes how the chip's many optical neurons are interconnected using optical wires or "waveguides" to form a deep network of many "neuron layers" mimicking that of the human brain. Information passes through the layers of the network, with each step helping to classify the input image into one of its learned categories. In the researchers' study, the images the chip classified were of hand-drawn, letter-like characters.
Just like the neural network in our brains, this deep network is designed in a way that allows for rapid information processing. The researchers demonstrated that their chip can perform an entire image classification in half of a nanosecond—the time it takes traditional digital computer chips to complete just one computation step on their clock-based schedule.
"Our chip processes information through what we call 'computation-by-propagation,' meaning that unlike clock-based systems, computations occur as light propagates through the chip," says Aflatouni. "We are also skipping the step of converting optical signals to electrical signals because our chip can read and process optical signals directly, and both of these changes make our chip a significantly faster technology."
The chip's ability to process optical signals directly lends itself to another benefit.
"When current computer chips process electrical signals they often run them through a Graphics Processing Unit, or GPU, which takes up space and energy," says Ashtiani. "Our chip does not need to store the information, eliminating the need for a large memory unit."
"And, by eliminating the memory unit that stores images, we are also increasing data privacy," Aflatouni says. "With chips that read image data directly, there is no need for photo storage and thus, a data leak does not occur."
A chip that reads information at light speed and provides a higher degree of cybersecurity would undoubtedly have an impact in many fields; this is one of the reasons research into this technology has ramped up in the past several years.
"We aren't the first to come up with technology that reads optical signals directly," says Geers, "but we are the first to create the complete system within a chip that is both compatible with existing technology and scalable to work with more complex data."
The chip, with its deep network design, requires training to learn and classify new data sets, similar to how humans learn. When presented with a given data set, the deep network takes in the information and classifies it into previously learned categories. This training needs to strike a balance that is specific enough to result in accurate image classifications and general enough to be useful when presented with new data sets. The engineers can "scale up" the deep network by adding more neural layers, allowing the chip to read data in more complex images with higher resolution.
And, while this new chip will advance current image sensing technology, it can be used for countless applications across a variety of data types.
"What's really interesting about this technology is that it can do so much more than classify images," says Aflatouni. "We already know how to convert many data types into the electrical domain—images, audio, speech, and many other data types. Now, we can convert different data types into the optical domain and have them processed almost instantaneously using this technology."
But what does it look like when information is processed at the speed of light?
"To understand just how fast this chip can process information, think of a typical frame rate for movies," he continues. "A movie usually plays between 24 and 120 frames per second. This chip will be able to process nearly 2 billion frames per second! For problems that require light speed computations, we now have a solution, but many of the applications may not be fathomable right now."
With a piece of technology that has many applications, it is important to understand its abilities and limitations at more fundamental levels, and Aflatouni's current and future plans for this research will do just that.
"Our next steps in this research will examine the scalability of the chip as well as work on three-dimensional object classification," says Aflatouni. "Then maybe we will venture into the realm of classifying non-optical data. While image classification is one of the first areas of research for this chip, I am excited to see how it will be used, perhaps together with digital platforms, to accelerate different types of computations."
Mugen74
Regular
Opened a short position recently then?
Fact Finder
Top 20
Only misses by one feature on chip one shot and incremental learning.A chip that can classify nearly 2 billion images per second
Artificial intelligence (AI) plays an important role in many systems, from predictive text to medical diagnoses. Inspired by the human brain, many AI systems are implemented based on artificial neural networks, where electrical equivalents of biological neurons are interconnected, trained with a...
Can someone comment on this, i read and it has many things in common with our chip.
View attachment 8811
“The chip, with its deep network design, requires training to learn and classify new data sets, similar to how humans learn. When presented with a given data set, the deep network takes in the information and classifies it into previously learned categories. This training needs to strike a balance that is specific enough to result in accurate image classifications and general enough to be useful when presented with new data sets. The engineers can "scale up" the deep network by adding more neural layers, allowing the chip to read data in more complex images with higher resolution”
They can gloss up the speed by throwing in speed of light etc; but both AKIDA and their chip are processing in ‘real time’.
They do not mention power consumption in the article. If it was ridiculously low like AKIDA I would expect this to be mentioned.
They refer to it being scalable but conclude by saying they need to investigate its scalability.
Clearly not coming to market for a few years yet.
My opinion only DYOR
FF
AKIDA BALLISTA
Dozzaman1977
Regular
Don't like talking about hot crapper as I believe it is morally corrupt IMO...Yep....I was over there for awhile going toe to toe with Sackman as I call him bagging him for his "dot joining" on Chapa move and painting a negative slant as usual.
I will post this bit as one of his last comments to me haha
"Your logic is extremely difficult to follow."
Poor soul
Even TDH (The D*ck Head) as I call him...signs posts as TD sometimes...tried to hop in and quote me but just ignore him these days.
But for those that are interested the Shareman was pigsmightfly a few years ago.
That's the last I speak of that immoral place
Mugen74
Regular
Ol pigsy,wasnt there a rumor he was running a boiler room on the Gold Coast? Was that ever proven/confirmed to be accurate?Don't like talking about hot crapper as I believe it is morally corrupt IMO...
But for those that are interested the Shareman was pigsmightfly a few years ago.
That's the last I speak of that immoral place
Boab
I wish I could paint like Vincent
CommSec - Executive Series
CommSec’s exclusive interviews with key representatives from Australia’s leading companies.
For anyone that bought shares in recent months and may be feeling a little uneasy please go to the Commsec interview to refresh your memory of just how big this thing is going to be. It's like the best movie you ever saw and have watched it over and over again as you always pick up something new.
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