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

NVIDIA Is Being Pushed to the Edge​

A collaboration between NVIDIA and Edge Impulse is increasing the accuracy of edge ML models deployed on resource-constrained devices.​

https://www.hackster.io/nickbild
Nick BildFollow
10 hours ago • Machine Learning & AI
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Computer vision on edge hardware is maturing rapidly (📷: Edge Impulse)




As NVIDIA’s GTC 2024 continues this week, the big announcements keep rolling in. We recently reported on the new Blackwell architecture, which enables more practical training and inferencing of massive trillion-parameter machine learning (ML) models. But we would be remiss if we did not also mention the updates at the other end of the spectrum — edge ML. A sledgehammer is not the right tool for every task, after all.
Edge ML allows us to run models directly on devices at the network's edge, such as smartphones, sensors, IoT devices, and other embedded systems. This approach enables data processing and analysis to occur locally on the device itself, rather than relying on centralized servers or cloud infrastructure. The significance of edge ML lies in its ability to address the limitations of traditional techniques that heavily rely on large, remote clusters of powerful computers and GPUs.
These edge techniques enhance privacy and security by keeping sensitive data localized and reducing the risks associated with transmitting data over networks. With the increasing concerns surrounding data privacy and regulations like GDPR and CCPA, organizations are increasingly being compelled to prioritize data protection. Edge ML is also particularly crucial in applications where instantaneous responses are necessary, such as autonomous vehicles, industrial automation, and healthcare monitoring systems. In scenarios like these, even milliseconds of delay can have significant consequences, making edge inferencing indispensable for achieving acceptable performance.
NVIDIA TAO models are now available in Edge Impulse (📷: Edge Impulse)

NVIDIA TAO models are now available in Edge Impulse (📷: Edge Impulse)

At the conference, a collaboration between NVIDIA and Edge Impulse was announced that promises to help edge ML applications mature. The Edge Impulse platform is tailored to building and deploying machine learning models to edge devices. And with their newly released integration with NVIDIA’s TAO and Omniverse, those models will be more accurate and efficient than ever, greatly expanding the number of use cases for edge ML.
Using the NVIDIA TAO Toolkit, developers can create powerful, customized, production-ready computer vision applications. In the past, these applications would need to be deployed to expensive, energy-hungry computing equipment that is not well-suited for portable applications where privacy and speed are required. But now, models trained with TAO can be fine-tuned and deployed using the Edge Impulse platform. And with the optimization tools that are available, these models can be deployed to the tiniest of platforms — even those powered by Arm Cortex-based microcontrollers.
Of course an ML algorithm is only as good as the data it was trained on, so Edge Impulse has also integrated NVIDIA’s Omniverse into their workflow. Omniverse allows organizations to quickly generate large amounts of high-quality synthetic image data. This is especially important where obtaining real-world data is costly, time-consuming, or creates privacy concerns. As data collection can be a major drain on resources, this new feature promises to greatly accelerate time to market for production models.
Taken together, these enhancements will allow users to rapidly create professional-grade industrial ML models that can run on heavily resource-constrained devices. That will open up a new world of possibilities for edge ML, from the visual inspection of manufacturing production lines to detect defects and equipment malfunctions, to surgery inventory object detection to prevent postoperative complications.
machine learning
artificial intelligence
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Nick BildFollow
R&D, creativity, and building the next big thing you never knew you wanted are my specialties.


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7für7

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Me meanwhile hoping for a turnaround

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White Horse

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Neuromorphic Computing: Making Space Smart

View attachment 59482 View attachment 59487
Like by the MD for 26 years at accenture.
Dyor
Thanks Pmel.
Check out the credentials of the people that liked this post.
Note! a number of Chinese boffins.
I'm impressed.!!!
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
How unlikely would it be for Apple not to know about us?

I mean Apple CarPlay can be connected to Mercedes MBUX and so it would be hard to imagine that Apple's ears (he-he-he) didn't prick when it was reported that the Mercedes Vision EQXX was 5-10 times more efficient than conventional voice control.

We all know that "conventional voice control means "Siri" and "Alexa".

I'm thinking it would make a lot of sense for Apple to look at incorporating AKIDA, not just to give Siri a boost but also because it fits in perfectly with their strategy whereby user privacy is one of their biggest considerations. As has been reported previously Apple is aiming to to run AI on the device itself for privacy reasons..




EXTRACT
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Pmel

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What the hell is happening. There are positive news but we are still going lower and lower.
 
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IloveLamp

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What the hell is happening. There are positive news but we are still going lower and lower.
I have noticed a bunch of other stocks not going up all the time too 🤔 weird
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DK6161

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What the hell is happening. There are positive news but we are still going lower and lower.
What positive news? The company and the board have been silent since 2018.
We rely on this forum for news and speculations.
I thought you'd be used to it by now.
Don't worry, we are heading to the moon, baby (eventually)! 🚀🚀🚀
 
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IloveLamp

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What positive news? The company and the board have been silent since 2018.
We rely on this forum for news and speculations.
I thought you'd be used to it by now.
Don't worry, we are heading to the moon, baby (eventually)! 🚀🚀🚀
Yes the company has been silent, apart from a partnership with a MAJOR TECH COMPANY being announced pretty much every two weeks, a bunch of high profile podcast guests, and progress on future versions of akida, patent announcements etc, oh and a couple of ip agreements....

It's slow going I'll admit but silence from the company?

Bruh

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7für7

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What positive news? The company and the board have been silent since 2018.
We rely on this forum for news and speculations.
I thought you'd be used to it by now.
Don't worry, we are heading to the moon, baby (eventually)! 🚀🚀🚀
Wow you probably had a deep long sleep to say that. Maybe you go back and take a nap again until 2027? Have a nice trip
 
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Cyw

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What the hell is happening. There are positive news but we are still going lower and lower.
From the trading pattern and the fake bids pulled, it looks to me like an accumulation is taking place, perhaps from the same people who pushed the share price from 15c to 50c. They may think 30c-50c is a good range to accumulate.
Lots of little 'pings' to weaken the resistance walls and then a couple of larger dumps to break resistance and the short term traders will likely to sell on stop loss.
Probably a little rally towards mid-April trading the 4C and annual general meeting.
If you believe in the 'good news', these daily noise movements should not bother you. Go play some golf and wait for the real good news, the ones with $ attached to them.
The market is not convinced that a little nemo swimming with sharks can beat the sharks or turn into one itself.
Only time can tell and I hope that time is soon.
 
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Bravo

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

If ARM was an arm, BRN would be its biceps💪!
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From the trading pattern and the fake bids pulled, it looks to me like an accumulation is taking place, perhaps from the same people who pushed the share price from 15c to 50c. They may think 30c-50c is a good range to accumulate.
Lots of little 'pings' to weaken the resistance walls and then a couple of larger dumps to break resistance and the short term traders will likely to sell on stop loss.
Probably a little rally towards mid-April trading the 4C and annual general meeting.
If you believe in the 'good news', these daily noise movements should not bother you. Go play some golf and wait for the real good news, the ones with $ attached to them.
The market is not convinced that a little nemo swimming with sharks can beat the sharks or turn into one itself.
Only time can tell and I hope that time is soon.


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Yes, this was in the TA thread but thought may give some insight as to the possibilities of patterns.
 
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Good Morning all,
Today is International Day of Happiness.
I know we all at some point on here suffer from irritation, so maybe for just one day we all just have a happy day together.
Find time to just sit back and have a laugh.
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Yes! It's International Day of Happiness!...


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DK6161

Regular
Yes the company has been silent, apart from a partnership with a MAJOR TECH COMPANY being announced pretty much every two weeks, a bunch of high profile podcast guests, and progress on future versions of akida, patent announcements etc, oh and a couple of ip agreements....

It's slow going I'll admit but silence from the company?

Bruh

View attachment 59515
Bruh?! The ASX called and wants an announcement.
 
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DK6161

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Mccabe84

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Does this mean vanguard are still buying and with different ETFs ?
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Taproot

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Great pick up @Pmel

Was curious previously if we had any connection with them and which auto client they were close to?


Wondering how close we are with Accenture as well.

Paper came up as Sept 23 on Google but the copyright is 2021.

What I found interesting was this little bit...wonder who the auto client was and whose neuromorphic they were playing with...Intel, us?

IMG_20231008_201913.jpg



Timeline may have fit with EQXX...maybe?

Paper:

HERE

Then we had the podcast with Accenture earlier this year and our recent Gen 2 Ann has quotes as below from who...same guy now at Verax.

“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors and former MD and Global CTO at Accenture Applied Intelligence. “Disruptive innovation like BrainChip TENNs support Vision Transformers built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”
Intel
Can't work out the interior of car in second video. Has a squared style steering wheel. ( 1.30 min mark ).




 
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