BRN Discussion Ongoing

7für7

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:)😅😂🤣
There it is again, a new combination Akido Pico
Sounds kind of Japanese

____
In your posts I usually read over typos and don't notice them. But with Akida?
It's like Intel's at that time Pentium - Pentia, Pentio, Pentiam, Pentiom - hum hum.
Always a close call.

___
Seriously, this needs to be hammered or ram into the heads of all BRN writers.
How else is someone supposed to create a brand or product?
Kuci
Bolex
Nercedes Denz - yeah
Gola
A-pod
Verrari
A-pat
Akido
Dolls-Boyce
Mc Bonald's
And so on

Yo, Akido Bollisto (y)

___
At the beginning I thought more funny, mistakes are human.
What would their company say if something was posted globally and said:
Dugatti
or
Bugatto

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It's about building a brand. Painchip?!

I don't know why I'm so upset if the own employees do not take their texting seriously. Just letters.
Don’t forget about the legendary intil and EBM…and our partner mircrochip and contrphesee…

Domo arigato Mr. Akido
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!

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

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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, Japan

Abstract​

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).

NetworkFPNNSNN
HardwareEdge-CPUNeurochip
Power consumption [mW]614
Calculation speed [ms]20540

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.




Do you think now this has been independently verified via Megachips' experiments, we could publish the performance comparisons on our website and across other media platforms?

I mean consuming 1/15 less power and increasing the compute speed by five times more than Arm Cortex- A72 is something to really toot your horn about, isn't it?

Which mobile and embedded computer OEM's and suppliers aren't going to want to swap out their the A72's with our technology if this type of performance improvement can be achieved?



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You are totally ignoring the fact that I was not at all ignoring Mediterranean and Middle Eastern Cuisine… 😛
Not ignoring, but ignorant 😛

I had to Google Hummus..

I had in my mind, that it was that parsley concoction..

Never liked dips..

This Reddit quote, doesn't exactly make me want to try it either..

"It's texture is awful, and the flavour is just... garlic mush. It looks like something a cat threw up. I don't understand why it's so popular"
 
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IloveLamp

Top 20
Not ignoring, but ignorant 😛

I had to Google Hummus..

I had in my mind, that it was that parsley concoction..

Never liked dips..

This Reddit quote, doesn't exactly make me want to try it either..

"It's texture is awful, and the flavour is just... garlic mush. It looks like something a cat threw up. I don't understand why it's so popular"
If it tastes like garlic mash, you're doing it wrong 🙃😏
 
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7für7

Top 20
Have a nice weekend everyone

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Esq.111

Fascinatingly Intuitive.
Woo Hoo ,

The new Akido edge box early demo , ..... I'll take a dozen.



Hope we all have a good weekend.

Regards,
Esq.
 
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SERA2g

Founding Member
Another of our Laguna Hills engineers leaving without having another job lined up… 🤔

It should be noted that he has since been given glowing references from his former BrainChip colleagues.

Nevertheless, he seems to have been unhappy in his job for quite a while (see his 4 month old LinkedIn comment)… What is going on? 🤔

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Can't be the brightest dude on the planet, commenting on a publicly shared job advert via his linkedin account that his entire network, including current colleagues, would be able to see.
lol.
 
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Woo Hoo ,

The new Akido edge box early demo , ..... I'll take a dozen.



Hope we all have a good weekend.

Regards,
Esq.

I even clicked on it

1729245549286.gif
 
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Another of our Laguna Hills engineers leaving without having another job lined up… 🤔

It should be noted that he has since been given glowing references from his former BrainChip colleagues.

Nevertheless, he seems to have been unhappy in his job for quite a while (see his 4 month old LinkedIn comment)… What is going on? 🤔

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I did read the Glassdoor webpage ages ago about BrainChip and there seemed to be a lot disgruntled employees. Happy to correct me if im wrong. Can’t seem to read it now

 
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Not watched the video

 
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Jumpchooks

Regular
Woo Hoo ,

The new Akido edge box early demo , ..... I'll take a dozen.



Hope we all have a good weekend.

Regards,
Esq.

I use one of those when walking home from the pub.
Burp
 
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Townyj

Ermahgerd
I did read the Glassdoor webpage ages ago about BrainChip and there seemed to be a lot disgruntled employees. Happy to correct me if im wrong. Can’t seem to read it now


4.1 out of 5 isn't all that bad (6 reviews in total). There is always going to be some people who whine about stuff no matter where they work.

Plus it seems like anyone can leave a review on this website. So take it with a grain of salt.
 
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TECH

Regular
Just like Rob leaving...his posts (not Robs) seemed to suggest that he was the kingpin of all Brainchip developments..sorry to say, but we are a team of brains..where no one brain is superior than the collective brain power.

Peter and Anil lead/led us to this point..they ultimately chose their support network, they created the opportunities for the younger team members, so if they decide to quit and move on, so be it...things in this space won't happen any quicker elsewhere that I'm sure of.

All I'd say is thanks very much for your brilliance in pushing us further down the road to success.

If some think that brilliant team members are quitting because of Seans directorship, well speak up now, maybe you are right, but once again, leading disruptive technology isn't an easy gig, is it ?

More ramblings...goodnight all.

Tech..x
 
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Dallas

Regular
 
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Tothemoon24

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IMG_9774.jpeg




The space industry is at an inflection point.

It’s not just about shiny rockets and space tourism; it’s a vast landscape of opportunities that could reach a staggering US$1.8 trillion by 2035, according to a recent report from McKinsey.

With increasing investments from governments and private companies, space is set to play a crucial role in tackling some of the pressing challenges we face today.

Ryan Brukardt, a McKinsey senior partner, shares his deep-seated passion for space and reflects on how much our daily lives today are intertwined with space technology – think GPS for your drive, satellite communications for that food delivery, and more.


Brukardt explains that the space economy can be divided into two halves: the backbone, which includes rockets and satellites, and the reach, encompassing the myriad applications that emerge from these technologies.

This separation helps clarify how industries can leverage space-based capabilities.



Understanding the space industry​

The first bucket of opportunities is connectivity.

With advanced satellite communications, we can now transmit vast amounts of data with minimal delays, opening the door to seamless video conferencing and more.

The second is mobility – improved location tracking through satellites enables a range of applications, from navigation to tracking shipping containers in real time.

As Brukardt explains, “In the future, we’ll be able to track containers on ships to understand where they are.”

Finally, there’s data derived from space that provides invaluable insights, such as monitoring crop health or water resources, which can revolutionise agriculture.

Another intriguing topic is in-orbit servicing.

The industry faces a choice between upgrading existing satellites or launching new ones, with both options having their pros and cons.

Brukardt observes, “There’s a real concern about these satellites running into each other.”

He also touches on the debate over responsibility for cleaning up space debris – a complex issue that countries and companies are beginning to grapple with.

“Many satellites in what we call low Earth orbit are a little bit self-cleaning,” he explains, as they degrade and burn up in the atmosphere.

Investment in space technology is evolving, too. Brukardt notes that the past decade has seen a dramatic rise in launches, thanks to advancements in technology and a boom in private capital.

“Over the last 10 years, we’ve gone from launching a few times a year globally to launching every other day or so.”

While governments remain key players, the influx of private investment is reshaping the landscape.



Sustainability is a big theme for space​

The potential for space to support sustainability goals also comes to the forefront.

Brukardt highlights how space can facilitate access to global knowledge in under-served regions.

He argues, “The ability to provide essential access and then basically full access to the global knowledge base to places in the world that are underserved or unconnected is huge.”

However, the prospect of mining minerals in space has raised ethical questions, especially as more nations and companies venture into this territory.

Brukardt stresses the importance of responsible practices, asking, “Are we cleaning up after ourselves and working well with others?”

Geopolitics is also a significant factor in the space economy.

Just as the space race spurred advancements in the mid-20th century, today’s geopolitical tensions are shaping the landscape of space exploration and utilisation.

“The interest in space… is going to be an integral part of many countries’ national-security constructs,” he said.

However, the space industry isn’t without its challenges. Brukardt identifies regulation as a key issue.

“There is tension between how much innovation versus regulation we want as a global economy.”



Three space-related ASX stocks​

Quickstep Holdings (ASX:QHL)

Quickstep is an advanced manufacturer specialising in composite materials and components.

The company primarily serves the aerospace and defence sectors, producing lightweight and durable products that enhance aircraft performance and efficiency.

Quickstep has forged a key partnership with Lockheed Martin for the C-130 program, and has an agreement to supply 100 ship sets from February 2025 to December 2029.

Ongoing discussions for future contracts highlight the strong, forward-looking nature of this collaboration.

In June, the company completed a successful restructuring, which involved reducing the workforce by about 20%.

Quickstep is also planning to sell its Quickstep Aerospace Services (QAS) operation, which handles maintenance, repair, and overhaul (MRO) based in Tullamarine, Victoria.



Electro Optic Systems (ASX:EOS)

EOS specialises in advanced technology solutions for defence and space.

The company designs and manufactures electro-optic and infrared systems for military applications, such as remote weapon and surveillance systems. EOS also provides technology for satellite operations.

In July, EOS announced a new contract worth $9 million with the Australian Defence Force’s Joint Capabilities Division to enhance its space capabilities.

This project aligns with the company’s goal of securing external funding for developing innovative space technologies.

The work is set to be completed in the second half of 2024 and into 2025. This new contract follows another $5 million agreement announced on April 15, which is also expected to be delivered this year.



BrainChip Holdings (ASX:BRN)

While BrainChip is primarily focused on developing neuromorphic computing technology, which mimics the way the human brain works, its Akida processor can process data in real time, making it suitable for applications such as satellite imaging and robotics used in space exploration.

BrainChip’s Akida helps create robots that can work independently in space, supporting important tasks like repairing and maintaining equipment in orbit.

In May, the company announced the successful launch of BrainChip’s Akida AI technology aboard the Optimus-1 spacecraft, allowing robots to perform complex tasks under challenging conditions.

In July, Brainchip announced it was raising approximately $25 million.

The funds will primarily support the commercialisation of the Akida 2.0 technology platform, develop new products using the TENNs algorithm, and enhance ongoing R&D efforts.
 
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IloveLamp

Top 20


Whole blog is worth a read imo

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MDhere

Regular
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Let's hope this is a tax deduction. I think someone mentioned Mercedes wasn't going to be there. Technically they were see picture :)
 
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Andy38

The hope of potential generational wealth is real
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MDhere

Regular
Our very own correspondent, updates please MD! 👏👏
Just edited it with a couple more photos. The photos took a bit to upload. There were heaps of people at the expo and I took a video also but having trouble uploading it. There were a couple of pavilions where valeo featured, inc the Renault R5 as well as the dedicated large booth with multiple stands and seemed to lots of presenters . I did ask what type of technology is used but they said artificial intelligence that predicts but they would not elaborate. So I didn't ask any further just soaked to the atmosphere and took lots of photos including the Mercedes car photo displayed. So @TECH technically you were right they did feature :)
 

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Bravo

If ARM was an arm, BRN would be its biceps💪!
Qualcomm says it's working with Indian including VVDN and Teksun (both of whom are listed on our website as Integration Partners) to accelerate new edge AI applications!!!

The article also discusses Qualcomm's Edge AI Box solutions.

I noticed on Qualcomm's website that they have Feature Edge Box products from Altek, Thundercomm and Foxconn. I wonder if this new link with VVDN will see our Edge Box making its way onto that page?



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IMC 2024: Qualcomm says working with Indian ODMs to drive deployment of Edge AI applications​

The company said that by working with ODMs, Independent Software Vendors (ISVs) and System Integrators (SIs), these solutions will enable their customers to efficiently deploy pre-designed solutions tailored for their needs.

  • Updated On Oct 17, 2024 at 01:26 PM IST

114304799.cms
NEW DELHI: American chipmaker Qualcomm Thursday said it is supporting Indian original design manufacturers (ODMs), including VVDN 😍, Tessolve, Teksun 😍, and Innominds to accelerate the deployment of new Edge Artificial Intelligence (AI) applications, including support for 5G.

Qualcomm said its Edge AI Box Solutions offer scalability, ease of use, and performance to help meet the needs of demanding industrial and commercial Internet of Things (IoT) applications and enhance offerings across security and surveillance, factory safety, traffic flow management, energy resource management, video collaboration, real time data insights, retail, and more.

The company said that by working with ODMs, Independent Software Vendors (ISVs) and System Integrators (SIs), these solutions will enable their customers to efficiently deploy pre-designed solutions tailored for their needs.

“Our edge AI solutions bring together the industry’s leading technologies across powerful computing, innovative edge AI processing, power efficiency, reduced latency, latest 5G and Wi-Fi connectivity, crystal-clear video and more to fuel the next-generation of resilient, high-performing IoT applications,” said Suri Maddhula, VP, IoT Solutions Product Management, Qualcomm Technologies, Inc.







Extract - 16 May 2023
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Extract - 20 September 2023

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