Well Brainchip tapes out akd1500 chip means that the chip has been through a lot of theoretical tests and it has passed. ie there isn't much risk about actually making them. But there is that last step. Brainchip could spend $4mill and produce a pile of them and hand them out. So MF are casting shade on Brainchip for not wasting $4mill in this exercise which isn't necessary if Brainchip know there are already other OEM's going to manufacture the chip.
BRN Discussion Ongoing
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Unless they are obtaining the chips from Renesas who are due to have their chips rolling off the production line..
That way they could maintain privacy for competitive reasons.
If they obtained a licence from BRN it would have to be the subject of an ASX an announcement.
Renesas would be producing its AKIDA chips for its clients.
What client(s) is the question.
equanimous
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McHale
Regular
Thanks @miaeffect, I knew it was syn..... somethingSynsense
SynSense and Prophesee develop one-chip event-based smart sensing solution
Partnership leverages respective leadership in neuromorphic computing and sensing to realize on-sensor processing integration leading to small form-factor, low-power and cost-effective IoT solutionswww.prophesee.ai
rgupta
Regular
Alif Semiconductor Demo of Battery-powered Embedded Vision with the Ethos-U55 and Arm's Cortex-M55 | Amir Sherman
One video explains all the entire story. By enabling a dedicated NPU accelerator for machine learning operations, Arm Ethos-U55, The Alif Semiconductor Ensemble Family performs inferencing operations 800X faster than on Cortex-M and runs 78X faster than when using the Cortex-M55 core alone. Edge...
Hi JB49,
It's good to see Akida being used in University projects.
The comment that
"Investigation of other neural network architectures: Instead of using the AkidaNet ImageNet model, exploring different architectures could perhaps yield more promising results. Such architectures might include ResNet, Inception, or EfficientNet."
is not directed at the Akida SoC processor circuit. It is talking about the NN model.
The research question was:
"1.1 Research Question
How does the number of new images used, the number of neurons per class in the classification layer and the neuron weight affect the performance of edge learning of a spiking neural network implemented on BrainChip’s AKD1000 neuromorphic processor?"
The project was examining the effect of variations on the configuration and model parameters on the performance of Akida 1000.
MobilNet is an open source CNN model. AkidaNet is Brainchip's adaptation of Mobilnet to run on Akida's 4 bit NPUs.
PvdM's "4 Bits are Enough" explains AkidaNet.
https://brainchip.com/4-bits-are-enough/ :
“Table 1 provides the accuracy of several 4-bit CNN networks comparable to floating-point accuracies. For example, AkidaNet is a version of Mobilnet optimized for 4-bit classification, and many other example networks can be downloaded from the Brainchip website. In the quantization column below, ‘a’/’b’/’c’ where ‘a’ means weights bits for first layer, ‘b’ means weights bits for subsequent layers, ‘c’ means output activation map bits for every layer.
wilzy123
Founding Member
Was it the original syn?
McHale
Regular
Well they were synning before BRN got involved in the story.
But if the prophesee is correct it will BRN who is winning.
I haven’t seen this before and I’m not sure of the date this might have been released, but this is from Infineon’s Development Center in Dresden.
www.infineon.com
Development Center - Infineon Technologies
Tothemoon24
Top 20
Great read
www.ku.ac.ae
The real-time responsiveness of the neuromorphic vision sensors enables the robotic drilling systems to adapt swiftly to changes in the drilling environment. This dynamic adaptability is particularly valuable in scenarios where the drilling targets were not static or when unexpected obstacles emerged during the drilling process. By continuously analyzing the visual data and making rapid adjustments, the robotic drilling system is able to maintain its precision and ensure optimal drilling outcomes.
Unleashing Precision with Neuromorphic Vision in Robotic Drilling Systems - Khalifa University
By leveraging bio-inspired vision sensors and intelligent control algorithms, a new system can perceive the environment with exceptional clarity and make real-time adjustments to ensure accurate robotic drilling operations. Robotic drilling systems play a crucial role in various industries...
www.ku.ac.ae
The real-time responsiveness of the neuromorphic vision sensors enables the robotic drilling systems to adapt swiftly to changes in the drilling environment. This dynamic adaptability is particularly valuable in scenarios where the drilling targets were not static or when unexpected obstacles emerged during the drilling process. By continuously analyzing the visual data and making rapid adjustments, the robotic drilling system is able to maintain its precision and ensure optimal drilling outcomes.
Just saw a video of this on my news feed, but can't find it now.
Aria Research
Aria is an Australian company, looking for "sophisticated" investors, so not on ASX yet.
It is for echolocation glasses for vision impaired people.
It uses video object recognition with framing boxes and tells the user what the object is and also identifies its location.
They boast an all-day battery.
It collaborates with Sydney Uni, UTS, DISER, and a couple of others.
They are looking to recruit for clinical trials.
Aria Research
Aria is an Australian company, looking for "sophisticated" investors, so not on ASX yet.
It is for echolocation glasses for vision impaired people.
It uses video object recognition with framing boxes and tells the user what the object is and also identifies its location.
They boast an all-day battery.
It collaborates with Sydney Uni, UTS, DISER, and a couple of others.
They are looking to recruit for clinical trials.
AusEire
Founding Member.
Saw a story on these guys on 9 news earlier. Maybe that's where you saw it?
Yes. Thanks AE.
I found a US patent for a company called ARIA Tech:
US10078971B2 Media streaming methods, apparatus and systems 20140903
It seems very close, if antique technology from 2014.
Given their claimed 1 day battery life, I did mention Akida to Aria.
Techniques and systems are provided for assisting a user through a guidance mode activity. Such a user may be visually or otherwise impaired, or a user requiring help for other reasons. In some embodiments, a client device, held or worn by the user, may comprise a video capture device and several sensors, and may send video data and sensor data to a server. The server may comprise a processor and artificial intelligence. The server may send the video data and sensor data to an agent device. The agent device may provide content for display on an agent interface. An agent may view the agent interface, and assist the user in real time through audio instructions or other feedback.
[0121] For example, algorithms based on convolutional neural networks can be applied to video data feed received from the client device. A determination can be made as to whether the video data feed contains a specific feature, object, or activity. Such features, objects, or activities can be specified to the algorithm as predefined input. In other aspects, features, objects, and activities may be learned.
The principles of Aria Research are US entrepreneurs.
jtardif999
Regular
Maybe BRN should sponsor her
jtardif999
Regular
So syners are not necessarily winners
Something HAS TO BE going on with TEAL and BRN
We are in E-Sim technology somehow......or Rob is just a big ol weirdo...
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