BRN Discussion Ongoing
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Fullmoonfever
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Looks like some friends in Japan, with a little support from Megachips, have been playing with Akida & MetaTF 
Apols if already posted as I may have missed it and haven't done a search.
Short video end of post.
Paper HERE
License: arXiv.org perpetual non-exclusive license
arXiv:2408.13018v1 [cs.RO] 23 Aug 2024
Excerpts:
Table 3: Hardware performance of policies: FPNN was evaluated by edge-CPU (Raspberry Pi 4: quad-core ARM Cortex-A72). SNN was evaluated by neurochip (Akida 1000 [9]). “Power cons” and “Calc. speed” denote power consumption and calculation speed for obtaining one action from NN policies using each piece of hardware. Power consumption was measured by voltage checker (TAP-TST8N).
Apols if already posted as I may have missed it and haven't done a search.
Short video end of post.
Paper HERE
License: arXiv.org perpetual non-exclusive license
arXiv:2408.13018v1 [cs.RO] 23 Aug 2024
Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots
Yuki Kadokawakadokawa.yuki@naist.ac.jpTomohito Koderakodera.tomohito.kp9@is.naist.jpYoshihisa Tsuruminetsurumine.yoshihisa@is.naist.jpShinya Nishimuranishimura.shinya@megachips.co.jpTakamitsu Matsubaratakam-m@is.naist.jpNara Institute of Science and Technology, 630-0192, Nara, Japan MegaChips Corporation, 532-0003, Osaka, JapanAbstract
A neurochip is a device that reproduces the signal processing mechanisms of brain neurons and calculates Spiking Neural Networks (SNNs) with low power consumption and at high speed. Thus, neurochips are attracting attention from edge robot applications, which suffer from limited battery capacity. This paper aims to achieve deep reinforcement learning (DRL) that acquires SNN policies suitable for neurochip implementation. Since DRL requires a complex function approximation, we focus on conversion techniques from Floating Point NN (FPNN) because it is one of the most feasible SNN techniques. However, DRL requires conversions to SNNs for every policy update to collect the learning samples for a DRL-learning cycle, which updates the FPNN policy and collects the SNN policy samples. Accumulative conversion errors can significantly degrade the performance of the SNN policies. We propose Robust Iterative Value Conversion (RIVC) as a DRL that incorporates conversion error reduction and robustness to conversion errors. To reduce them, FPNN is optimized with the same number of quantization bits as an SNN. The FPNN output is not significantly changed by quantization. To robustify the conversion error, an FPNN policy that is applied with quantization is updated to increase the gap between the probability of selecting the optimal action and other actions. This step prevents unexpected replacements of the policy’s optimal actions. We verified RIVC’s effectiveness on a neurochip-driven robot. The results showed that RIVC consumed 1/15 times less power and increased the calculation speed by five times more than an edge CPU (quad-core ARM Cortex-A72). The previous framework with no countermeasures against conversion errors failed to train the policies. Videos from our experiments are available:Excerpts:
5.1 Construction of Learning System for Experiments
5.1.1 Entire Experiment Settings
This section describes the construction of the proposed framework shown in Fig. 2. We utilized a desktop PC equipped with a GPU (Nvidia RTX3090) for updating the policies and an Akida Neural Processor SoC as a neurochip [9, 12]. The robot was controlled by the policies implemented in the neurochip. SNNs were implemented to the neurochip by a conversion executed by the MetaTF of Akida that converts the software [9, 12]. Samples were collected by the SNN policies in both the simulation tasks and the real-robot tasks since the target task is neurochip-driven robot control. For learning, the GPU updates the policies based on the collected samples in the real-robot environment. Concerning the SNN structure, the quantization of weights 𝑤𝑠 described in Eq. (16) and the calculation accuracy of the activation functions described in Eq. (19) are verified in a range from 2- to 8-bits; they are the implementation constraints of the neurochip [9].Table 3: Hardware performance of policies: FPNN was evaluated by edge-CPU (Raspberry Pi 4: quad-core ARM Cortex-A72). SNN was evaluated by neurochip (Akida 1000 [9]). “Power cons” and “Calc. speed” denote power consumption and calculation speed for obtaining one action from NN policies using each piece of hardware. Power consumption was measured by voltage checker (TAP-TST8N).
| Hardware | Edge-CPU | Neurochip |
|---|---|---|
| Network | FPNN | SNN |
| Power consumption [mW] | 61 | 4 |
| Calculation speed [ms] | 205 | 40 |
7 Conclusion
We proposed RIVC as a novel DRL framework for training SNN policies with a neurochip in real-robot environments. RIVC offers two prominent features: 1) it trains QNN policies, which can be robust for conversion to SNN policies, and 2) it updates the values with GIO, which is robust to the optimal action replacements by conversion to SNN policies. We also implemented RIVC for object-tracking tasks with a neurochip in real-robot environments. Our experiments show that RIVC can train SNN policies by DRL in real-robot environments.Acknowledgments
This work was supported by the MegaChips Corporation. We thank Alonso Ramos Fernandez for his experimental assistance.Great post.
I share the same opinion. Being a top 20 shareholder I am more confidence now than ever with all the deals that we have signed. Looks like this year is definitely our year.
Not advice
Jacob Kiraz
Member
How many shares do you need to be a top 20 shareholder
Pom down under
Top 20
Space Cadet
Regular
Seeing as this seems to be a pissing contest with no proof required. I am known to my friends as PVDM.
SC
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Smoothsailing
Regular
Extract from a Forbes article talking about LiDAR technology......
Valeo: is designed into the Mercedes S-Class with its SCALA 2 LiDAR (currently in production) to support its L3 autonomy feature. Its next-generation version, the SCALA 3 uses a similar platform as the SCALA 2, but delivers significantly higher range and resolution performance. (SCALA 2 addresses 80 m range and 300,000 pps in a ~ 600 cm³ volume with a square format. SCALA 3 doubles the range and delivers 10M pps in a ~1000 cm³ volume, with a 45 mm height and rectangular format suitable for roof or behind-the-grill mounting). The higher performance of the SCALA 3 is expected to double the speeds at which the L3 autonomy feature can perform. Valeo is also attempting to standardize the SCALA 3 and minimize/eliminate customization to create economies of scale. SCALA 3 is expected to start production by early 2025 and has been selected by Stellantis and another undisclosed global OEM to support L3 autonomy features.
Valeo: is designed into the Mercedes S-Class with its SCALA 2 LiDAR (currently in production) to support its L3 autonomy feature. Its next-generation version, the SCALA 3 uses a similar platform as the SCALA 2, but delivers significantly higher range and resolution performance. (SCALA 2 addresses 80 m range and 300,000 pps in a ~ 600 cm³ volume with a square format. SCALA 3 doubles the range and delivers 10M pps in a ~1000 cm³ volume, with a 45 mm height and rectangular format suitable for roof or behind-the-grill mounting). The higher performance of the SCALA 3 is expected to double the speeds at which the L3 autonomy feature can perform. Valeo is also attempting to standardize the SCALA 3 and minimize/eliminate customization to create economies of scale. SCALA 3 is expected to start production by early 2025 and has been selected by Stellantis and another undisclosed global OEM to support L3 autonomy features.
Not sure if this is a good idea or not, but I’ve just submitted a “send a story” to 60 minutes telling them about the ground breaking tech that could “potentially” address the huge energy problem with current AI. Imagine the positive PR if 60 minutes ran the story??? 
if anyone else would like to also submit, here’s the link https://9now.nine.com.au/60-minutes/send-a-story
if anyone else would like to also submit, here’s the link https://9now.nine.com.au/60-minutes/send-a-story
Smoothsailing
Regular
Good on you Gazza that’s a great idea well dun mate.Not sure if this is a good idea or not, but I’ve just submitted a “send a story” to 60 minutes telling them about the ground breaking tech that could “potentially” address the huge energy problem with current AI. Imagine the positive PR if 60 minutes ran the story???
Great idea!Not sure if this is a good idea or not, but I’ve just submitted a “send a story” to 60 minutes telling them about the ground breaking tech that could “potentially” address the huge energy problem with current AI. Imagine the positive PR if 60 minutes ran the story???
Let's spam them. We are well known for doing that in LinkedIn
Would Mike really want to help us out now, especially with the crap he went through a fair while back, when some posters from another crap site gave him absolute hell !!!??? .... if it was me, I would most likely hold a strong grudge towards the Co's troublesome posters
Shadow59
Regular
What makes you think Mike is even vaguely aware of such an obscure insignificant Australian website. Sure they're pretty full of their own importance, but really they and the opinions expressed are absolutely worthless. It's like believing conspiracy websites why waste your time.
Good morning All,
May I just clarify the post I made late yesterday at 6;27pm Eastern.
I am "dead against" any takeover at this point in your journey, I believe I have made that personal point numerous times
on this forum, many appear to have misinterpreted what I was trying to actually say, which was, Intel has so many issues going
on as has been publicly reported on, Mike Davies is respected by our Founders, but they (Intel) would never (in my opinion) be in a
position to make a meaningful offer to our Board now or into the future, whereas Nvidia (Jensen Huang) are not only very cashed up,
successful and world leaders, they are not advanced in the field that we excel in, I have always felt that IF AN OFFER surfaced, say in
2028 it would have Jensen's fingerprints all over it.
Please remember, this is only my opinion, will it, could it eventuate, quite possibly.
My intention wasn't to confuse anyone, hopefully that has set the record straight, maybe as Dio suggests, Intel is the "X- Factor" and are
the ones doing the tape-out, but once again, that in itself is merely speculation, isn't it.
Best regards.......Tech
May I just clarify the post I made late yesterday at 6;27pm Eastern.
I am "dead against" any takeover at this point in your journey, I believe I have made that personal point numerous times
on this forum, many appear to have misinterpreted what I was trying to actually say, which was, Intel has so many issues going
on as has been publicly reported on, Mike Davies is respected by our Founders, but they (Intel) would never (in my opinion) be in a
position to make a meaningful offer to our Board now or into the future, whereas Nvidia (Jensen Huang) are not only very cashed up,
successful and world leaders, they are not advanced in the field that we excel in, I have always felt that IF AN OFFER surfaced, say in
2028 it would have Jensen's fingerprints all over it.
Please remember, this is only my opinion, will it, could it eventuate, quite possibly.
My intention wasn't to confuse anyone, hopefully that has set the record straight, maybe as Dio suggests, Intel is the "X- Factor" and are
the ones doing the tape-out, but once again, that in itself is merely speculation, isn't it.
Best regards.......Tech
Smoothsailing
Regular
In this case I agree the linkden comments towards Mike were totally inappropriate and unnecessary and indeed would piss me off as well.
They were far from professional.
Lets hope it hasn't effected the relationship
Personally, i think Mike Davies wouldn't care less about a few uppity brn shareholders posting on social media.
I'm sure he has far more pressing concerns.
Perhaps some would like to create drama for other reasons by suggesting it has somehow negatively affected the brn / intel relationship.
Intel are clearly big fans of Brainchips, why else would they promote us?
I'm sure he has far more pressing concerns.
Perhaps some would like to create drama for other reasons by suggesting it has somehow negatively affected the brn / intel relationship.
Intel are clearly big fans of Brainchips, why else would they promote us?
Last edited:
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