Baron Von Ricta
Regular
I really hope my buy order for my 6 shares goes through. But on the other hand I hope my sell order for 76 shares goes through also.
WTF. Nothing like having an early day smile
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BrainChip on LinkedIn: Mind-Boggling Neuromorphic Brain Chips (Part 2)
Mind-Boggling Neuromorphic Brain Chips (Part 2) https://lnkd.in/dbppZ2KZ - On once benchmark, the Akida achieved 30% better precision while using 50X fewer…www.linkedin.com
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“It’s impossible to list all the applications for which Akida could be used.”
Sound familiar?
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Two of the authors are from Accenture Labs.Research article based on neuromorphic hardware in Robotic arms. Liked by our CEO SH. https://iopscience.iop.org/article/10.1088/2634-4386/acc204
Think of how many Retail Food Group shares you could buy for $3.00 and all they need is for the outstanding investigation of the previous management to say it was all their fault and it will fly. Don’t put all your eggs in one basket is my advice.View attachment 31750
I really hope my buy order for my 6 shares goes through. But on the other hand I hope my sell order for 76 shares goes through also.
WTF. Nothing like having an early day smile.... hang on I think I might pull it!
We will be ARM / SiFive equivalent for NPU / Edge AI!!!As some seem intent on finding comparisons to rate Brainchip's performance against on the ASX when there are absolutely none I will remind readers both here and in the background of what Steven Leibson of Tirias Research said in his Forbes Magazine article dated 6 March, 2023:
"Brainchip’s bio-inspired Akida platform is certainly an unusual way to tackle AI/ML applications. While most other NPU vendors are figuring out how many MACs they can fit – and power – on the head of a pin, Brainchip is taking an alternative approach that’s been proven by Mother Nature to work over many tens of millions of years.
In Tirias Research’s opinion, it’s not the path taken to the result that’s important, it’s the result that counts. If Brainchip’s Akida event-based platform succeeds, it won’t be the first time that a radical new silicon technology has swept the field. Consider DRAMs (dynamic random access memories), microprocessors, microcontrollers, and FPGAs (field programmable gate arrays), for example. When those devices first appeared, there were many who expressed doubts. No longer. It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations. Time will tell."
Edge Impulse described AKIDA technology as science fiction. A data scientist and Phd candidate described the first generation AKIDA 1000 as a "beast".
Against this background the WANCA's have continued to ask what's a neuromorphic chip anyway, well at least those who can say 'neuromorphic'.
"It’s possible that Brainchip has developed yet another breakthrough that could rank with those previous innovations." Mark these words as they are only directed at AKIDA 2000 not the overall mission which Brainchip has embarked upon of creating Artificial General Intelligence.
Brainchip, Peter van der Made and Anil Mankar are creating an entirely new computing paradigm well beyond anything that exists.
They are on track with the timetable set out by Peter van der Made and with each step are opening up engineering possibilities that have only existed in unfulfilled patents and dreams.
The first and second generation AKIDA technology will create industries that do not yet exist.
Peter van der Made has stated recently that his vision of Artificial General Intelligence will be fulfilled in about 7 years which puts it at 2030.
The enormity of what Artificial General Intelligence means is found in the quote of Bill Gates that the person who invents Artificial General Intelligence will have created a company worth ten times Microsoft. I am not saying that his valuation was or is correct what I am pointing you too is the significance he attaches to what Brainchip and Peter van der Made are pursuing.
The late Stephen Hawking and the still living Elon Musk have both stated that Artificial General Intelligence could lead to the destruction of mankind. There are of course many others who are saying and who have said the same thing.
Now in the overly optimistic hope that the above will be sufficient to shut down the mindless comparisons can anyone here point to a technology company on the ASX that could just by its mere existence lead to the destruction of mankind in seven years time.
Of course not this is why Brainchip is not understood by normal retail investors.
Why it is not understood by WANCA commentators who cannot even say neuromorphic.
Why it is extremely obvious that anyone who persists down this road of comparison either is ignorant of just what Brainchip is doing or has some other motive innocent or otherwise.
My opinion only DYOR
FF
AKIDA BALLISTA
It sounds good but has he heard of Retail Food Group and Dominoes then there are all those mining companies with brand new shovels and tin sheds.I dont think I've seen anything written about VDC research on this forum after one of their directors gave this glowing statement in the recent Akida Gen 2 press release
BrainChip has some exciting upcoming news and developments underway,” said Daniel Mandell, Director at VDC Research. “Their 2nd generation Akida platform provides direct support for the intelligence chip market, which is exploding. IoT market opportunities are driving rapid change in our global technology ecosystem, and BrainChip will help us get there.”
Daniel Mandell, Director, VDC Research
VDC Research is a B2B technology market intelligence and consulting firm, delivering in-depth insights and strategies to vendors, technology decision makers, and investors across the globe since 1971 (for over 50 years)
They Dramatically improve the performance of business through a range of services that identify transformative opportunities, solve persistent challenges, and enable you to execute at unprecedented scale and speed.
VDC is proud to be a trusted advisor to many of the world’s leading technology companies.
Including
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Qualcomm
Honeywell
Brother
Motorola
Dell
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Arm
Samsung
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Their continuous coverage of major technology markets offers clients expert insights and extensive data, enabling breakthrough strategies and superior business performance.
As David Mandall stated quote.........
“Their 2nd generation Akida platform provides direct support for the intelligence chip market, which is exploding. IoT market opportunities are driving rapid change in our global technology ecosystem, and BrainChip will help us get there.”
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For me the most exciting clue of future success is the new confidence being displayed in our company announcements after the release of Gen 2. They're using a different language and aren't pulling any punches when it comes to describing how good the updated tech is. AKIDA Gen 2 seems to have exceeded even their expectations. It also speaks to us having received confirmed feedback from customers. I reckon we'll see some licence deals signed pretty soon and revenue from all sources begin to make waves by second half of 23. My opinion only but things seem to be gaining momentum here.![]()
BrainChip on LinkedIn: Mind-Boggling Neuromorphic Brain Chips (Part 2)
Mind-Boggling Neuromorphic Brain Chips (Part 2) https://lnkd.in/dbppZ2KZ - On once benchmark, the Akida achieved 30% better precision while using 50X fewer…www.linkedin.com
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It would of been nice to buy into the dominos IPO in 2005 at $2.20.It sounds good but has he heard of Retail Food Group and Dominoes then there are all those mining companies with brand new shovels and tin sheds.
He is probably too busy consulting with those listed corporations to do any real research.
My opinion only DYOR
FF
AKIDA BALLISTA
Any idea where the author gets those akida benchmarks from? No mention of akida in the referenced prophese paper…What a wonderful read, although my comprehension of all the new capabilities is somewhat lacking.
However, I think most of us understand real world comparisons and benchmarking.
Hence, I think this extract from the article is particularly powerful:
......
And so we come to the old proverb that states, “The proof of the pudding is in the eating.” Just how well does the Akida perform with industry-standard, real-world benchmarks?
Well, the lads and lasses at Prophesee.ai are working on some of the world’s most advanced neuromorphic vision systems. From their website we read: “Inspired by human vision, Prophesee’s technology uses a patented sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology.”
According to the paper Learning to Detect Objects with a 1 Megapixel Event Camera, Gray.Retinanet is the latest state-of-the-art in event-camera based object detection. When working with the Prophesee Event Camera Road Scene Object Detection Dataset at a resolution of 1280×720, the Akida achieved 30% better precision while using 50X fewer parameters (0.576M compared to 32.8M with Gray.Retinanet) and 30X fewer operations (94B MACs/sec versus 2432B MACs/sec with Gray.Retinanet). The result was improved performance (including better learning and object detection) with a substantially smaller model (requiring less memory and less load on the system) and much greater efficiency (a lot less time and energy to compute).
As another example, if we move to a frame-based camera with a resolution of 1352×512 using the KITTI 2D Dataset, then ResNet-50 is kind of a standard benchmark today. In this case, Akida returns equivalent precision using 50X fewer parameters (0.57M vs. 26M) and 5X fewer operations (18B MACs/sec vs. 82B MACs/sec) while providing much greater efficiency (75mW at 30 frames per second in a 16nm device). This is the sort of efficiency and performance that could be supported by untethered or battery-operated cameras.
Another very interesting application area involves networks that are targeted at 1D data. One example would be processing raw audio data without the need for all the traditional signal conditioning and hardware filtering.
Consider today’s generic solution as depicted on the left-hand side of the image below. This solution is based on the combination of Mel-frequency cepstral coefficients (MFCCs) and a depth-wise separable CNN (DSCNN). In addition to hardware filtering, transforms, and encoding, this memory-intensive solution involves a heavy software load.
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Raw audio processing: Traditional solution (left) vs. Akida solution (right)
(Source: BrainChip)
By comparison, as we see on the right-hand side of the image, the raw audio signal can be fed directly into an Akida TENN with no additional filtering or DSP hardware. The result is to increase the accuracy from 92% to 97%, lower the memory (26kB vs. 93kB), and use 16X fewer operations (19M MACs/sec vs. 320M MACs/sec). All of this basically returns single inference while consuming two microjoules of energy. Looking at this another way, assuming 15 inferences per second, we’re talking less than 100µW for always-on keyword detection.
Similar 1D data is found in the medical arena for tasks like vital signs prediction based on a patient’s heart rate or respiratory rate. Preprocessing techniques don’t work well with this kind of data, which means we must work with raw signals. Akida’s TENNs do really well with raw data of this type.
In this case, comparisons are made between Akida and the state-of-the-art S4 (SOTA) algorithm (where S4 stands for structured state space sequence model) with respect to vital signs prediction based on heart rate or respiratory rate using the Beth Israel Deaconess Medical Center Dataset. In the case of respiration, Akida achieves ~SOTA accuracy with 2.5X fewer parameters (128k vs. 300k) and 80X fewer operations (0.142B MACs/sec vs. 11.2B MACs/sec). Meanwhile, in the case of heart rate, Akida achieves ~SOTA accuracy with 5X fewer parameters (63k vs. 600k) and 500X fewer operations (0.02B MACs/sec vs. 11.2B MACs/sec).
It’s impossible to list all the applications for which Akida could be used. In the case of industrial, obvious apps are robotics, predictive maintenance, and manufacturing management. When it comes to automotive, there’s real-time sensing and the in-cabin experience. In the case of health and wellness, we have vital signs monitoring and prediction; also, sensory augmentation. There are also smart home and smart city applications like security, surveillance, personalization, and proactive maintenance. And all of these are just scratching the surface of what is possible.
We have only some 3 weeks to go till the end of this quaterly period.... So I hope we see another financial improvement to the bottom line therein.$0.525 - the better the news, the lower the price.
I'll wait till we start earning real revenue and get some really cheap.
What do you mean by that?Have you seen the amount of volume sells / buys this morning.
Latest news with more to come? I wonder if any rats are jumping ship?
People who got in and got out of Retail Food Group made money as well but many franchises were sent to the wall and ended up bankrupt as a result of various business practices that the Group engaged in. Dominoes also made shareholders money but had they been requiring the payment of the correct wages to employees the pizzas would have had to sell for more and decent pizzas would likely have been competitive.It would of been nice to buy into the dominos IPO in 2005 at $2.20.
I was thinking about investing in the IPO, but i decided to go and buy a Dominos Pizza and garlic bread to see what quality they were,
I could only eat 1 slice of the pizza (it Tasted terrible) and only 1 piece of garlic bread as it also tasted bad and threw the rest in the bin .... So based on that experience i though who the hell would buy these pizzas over good quality made ones and decided not to invest.
History shows i was completely wrong, people love cheap terrible tasting pizzas.
That $10,000 investment would be worth $210,000 at todays share price (and a lot higher in the past years)
I'm happy to stick to my local pub pizza!!!!