BRN Discussion Ongoing

Chris Stevens appears to have updated his LinkedIn profile as Revenue Growth Executive.

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Maybe I should buy some shares where he works now.









































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wilzy123

Founding Member
He’s just a guy with a superiority complex most likely working for a university/ school or some kind of institution that’s financed by the state. A lot of these people tend to behave like he does. No one cares about the grammar in a forum expect for these guys and I bet that most of them only know one language + vamos a la playa.


Yep, lol. That's what I care about. You got me pegged.

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Diogenese

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People who live in glass houses shouldn't throw stones…

Why don’t you spend more time on proofreading your own posts instead of constantly belittling fellow posters?

Isn’t getting the year wrong in an official ASX ANN so much more embarrassing than an anonymous forum poster’s typo?! Yet, not a single one of your inflationary clown emojis or sarcastic “Great post!” remarks was reserved for a comment on our company’s oversight? I’d call that a double standard…

You seem to insinuate stupidity and/or lack of education as the underlying cause(s) of all spelling mistakes. Let me remind you, then, that some slip-ups by contributors to this forum appear to be cases of too hasty typing or flawed voice-to-text recognition, a couple of posters are most likely dyslexic (which has nothing to do with their level of intelligence, by the way), and for many of us here on TSE, English is not our first language anyway. Just a number of other reasons why people make such mistakes. How do you explain yours, by the way?



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While we are on things grammatical, you know One-Drive (the little cloud symbol at the bottom of the screen), when I put the cursor over it, it assures me

"Your files are synced."

Shouldn't that be :

"Your files have sunk"?
 
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The Pope

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Diogenese

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Well Dio, I remember them as the Fabulous Furry Freak Brothers, I have a pic to attach from my collection of comics which includes the infamous Fat Freddies Cat (Fat Freddy was one of the Bros) for the cat lovers here.

All in the interests of the greater education of this forum. View attachment 51401
Your memory is better than mine - as is your haircut.
 
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Gees I posted that a couple of months ago when Chris left BrainChip. You going back through the back catalogue of posts not read. Lmfao
I read nothing
 
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Violin1

Regular
Well put. I invite anyone to google "Bob the angry flower" to learn about the English language.
Sorry - should have said Bob the angry flower APOSTROPHE to google. Bob is angry at many things but the apostrophe is one of his best 😂😂😂.
 
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Tothemoon24

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Our good friends at Tata are flying the Neuromorphic flag .

They will be a ongoing pillar of wealth for Brainchip

With the top brass of Tata being in the USA 🇺🇸 next week could that visit coincide with a signing of a IP contract…..🙏

It’s just a matter of when

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We all play online games, but we don't really like loosing at a level that we call "difficult". We often attend online courses/classes, but feel a bit out of class, if content is going over our head.

How about the idea of changing online content or difficulty levels of a game based on performance of student/ gamer ? To reach to such a solution, one obvious approach can be: analyzing the cognitive load of the user via the EEG signal as captured by wearable EEG devices (such as NeuroSky, Emotive etc). And that needs to be done in real-time.

In an accepted paper titled "Towards low power cognitive load analysis using EEG signal: A neuromorphic computing approach" at NeurIPS 2023 MLNCP workshop, we have shown that spiking neural network (SNN) can offer pretty high accuracy in classifying the cognitive load of a user. The added advantage is, when it runs on neuromorphic hardware, it offers very real-time and very low power solution that can run on wearable EEG devices.

For further know-hows, meet me at NeurIPS 2023 next week at New Orleans, USA. My co-authors are Dighanchal Banerjee Debatri Chatterjee Arpan Pal.

Tata Consultancy Services - Research


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Tothemoon24

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The Compute Foundation Powering AI's Present And Future​



From the data center to the edge, Arm will be the foundation for inference as AI goes everywhere.



Dec 4, 2023,11:54am EST
The explosion of popular interest in artificial intelligence (AI) has clearly captured the public’s imagination about what the future of computing could look like and how it might transform our lives. Yet we’re only scratching the surface of its potential.

That’s because AI and machine learning (ML) are being deployed everywhere, from the big data centers that use countless processors to train large language models (LLMs) to the increased AI capabilities being deployed at “the edge” – on the actual devices.


What ties together AI in the data center and at the edge is the need for efficient computing. As AI evolves, there will be a heightened focus on power efficiency alongside performance. The unique combination of performance and efficiency enabled Arm (NASDAQ: ARM) to power the smartphone revolution, and we see the same happening as part of the ongoing AI story.


AI training vs. inference

Much of the news coverage recently has been on LLMs, their development and their training – and the high cost and energy consumption required to do so. A recent study1 estimated that Chat GPT3, comprised of 175 billion parameters, needed 1,287 MWh to train, and also emitted 552 tons of CO2. This is roughly the equivalent to driving a car 1.3 million miles – but in one hour!


But those huge training workloads running in data centers represent just 15 percent of AI workloads today, according to Omdia’s Data Center Compute Intelligence Service.2

The rest – 85 percent of all data center AI workloads – lies in AI inference, and that’s not accounting for inference that’s happening outside the data center on the edge. AI workloads like inference will remain a key workload in the cloud, but an increasing number will move to the edge as more efficient models continue to evolve. Inference, which is the process of using a trained model that has been deployed into a production environment to make predictions on new real-world data, will power AI applications for countless, specialised use cases and industries to benefit everyone in a wide range of different ways.

Driving efficient computing

The exponential increase in AI inference at the edge will be accelerated by the industry-wide drive for more efficient computing. This brings a number of benefits to users and businesses, including improved bandwidth and data privacy. However, the challenge with AI at the edge is the increasing compute demands across many different devices, especially those in the IoT and consumer technology space. Fortunately, we are already seeing models and the actual devices becoming more power efficient as the industry drives AI to be deployed at scale across all technology touchpoints, from the smallest sensor to the largest supercomputer.


AI on processor technologies

The move towards AI at the edge and efficient computing is taking place on the CPU, whether it is handling workloads in their entirety or in combination with a co-processor like a GPU or NPU. As these processors have evolved and improved over time with greater performance and efficiency capabilities, AI workloads have already begun to shift to the edge.

Despite the rise of AI being a relatively new tech phenomenon, Arm’s CPU and GPU performance improvements have doubled AI processing capabilities every two years in the past decade. This helps to put computing closer to where the data is captured, providing quicker, more secure AI experiences for the end-user.

Developer innovation

AI’s move to the edge is translating to improvements in the developer experience. We are already seeing developers write more compact models to run on small microprocessors or even smaller microcontrollers, saving time and costs.
 
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GStocks123

Regular
Our good friends at Tata are flying the Neuromorphic flag .

They will be a ongoing pillar of wealth for Brainchip

With the top brass of Tata being in the USA 🇺🇸 next week could that visit coincide with a signing of a IP contract…..🙏

It’s just a matter of when


View attachment 51416


We all play online games, but we don't really like loosing at a level that we call "difficult". We often attend online courses/classes, but feel a bit out of class, if content is going over our head.

How about the idea of changing online content or difficulty levels of a game based on performance of student/ gamer ? To reach to such a solution, one obvious approach can be: analyzing the cognitive load of the user via the EEG signal as captured by wearable EEG devices (such as NeuroSky, Emotive etc). And that needs to be done in real-time.

In an accepted paper titled "Towards low power cognitive load analysis using EEG signal: A neuromorphic computing approach" at NeurIPS 2023 MLNCP workshop, we have shown that spiking neural network (SNN) can offer pretty high accuracy in classifying the cognitive load of a user. The added advantage is, when it runs on neuromorphic hardware, it offers very real-time and very low power solution that can run on wearable EEG devices.

For further know-hows, meet me at NeurIPS 2023 next week at New Orleans, USA. My co-authors are Dighanchal Banerjee Debatri Chatterjee Arpan Pal.

Tata Consultancy Services - Research


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Benchmarking results coming soon 😃 (as listed in BR of pic)
 
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cassip

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entretec

Member

Not sure if this has been shown before. Very slick production from the UK but he doesn't like the brand name "Brainchip" for sure. Upbeat through.

Brainchip Holdings (ASX:BRN) $BRN SWOT ANALYSES nothing to do with neurolink​


 
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cosors

👀
Sorry - should have said Bob the angry flower APOSTROPHE to google. Bob is angry at many things but the apostrophe is one of his best 😂😂😂.
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Thank you!
https://en.wikipedia.org/wiki/Bob_the_Angry_Flower ❤️‍🔥
The strips themselves range from absurdist humor to dadaist "anti-humor".

___

So my English lessons at school a long time ago were enough for that 😁
Today the new Pisa study was published and for Germany with a catastrophic result and the worst ever.
 
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cosors

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View attachment 51431
Thank you!
https://en.wikipedia.org/wiki/Bob_the_Angry_Flower ❤️‍🔥
The strips themselves range from absurdist humor to dadaist "anti-humor".

___

So my English lessons at school a long time ago were enough for that 😁
Today the new Pisa study was published and for Germany with a catastrophic result and the worst ever.
And this topic goes even further and blends into something that is no longer off topic for us here. On the one hand Germany has a massive problem with here so called ~ skilled workers. In the semiconductor industry there is a shortage of over 82,000 (previously 65,000) workers at every level, including academics. TSMC therefore had reservations about building here and was persuaded to do so with massive subsidies.
On the other hand this leads to the next problem. Perhaps you have noticed it. We have a serious problem with our budget. A pot was declared unconstitutional, a crisis here. This pot includes the money that was supposed to go to Intel and TSMC for their facilities here.
I haven't heard anything about GF on this yet.
 
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Tothemoon24

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IMG_7902.jpeg


COMMUNITY] 📃 Our Metavision® sensors are aiding exciting new developments in Spatial Augmented Reality (SAR). In a paper presented at CVPR, researchers at Fraunhofer Heinrich Hertz Institute HHI and Humboldt-Universität zu Berlin (Humboldt University of Berlin) used our Metavision Evaluation Kit (EVK) 3 integrated with laser projectors to create an unparalleled depth estimation system by converting data into an x-map.

⏱️What sets this application apart is the remarkable speed of execution. With just two lookups, the system can achieve near-instantaneous depth estimation (less than 3ms per frame with a Python implementation) for incoming events. This real-time responsiveness paves the way for truly immersive and interactive SAR experiences, ensuring low latency and high frame rates for seamless engagement.

Congratulations to Wieland Morgenstern, Niklas Gard Simon Baumann, Dr. Anna Hilsmann, and Prof. Peter Eisert!

Learn more 👉 https://lnkd.in/dkpTtkwh

#evs #eventbased #eventcamera #Metavision #Innovation #Visionsensor #computervision
 
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cosors

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new high here
Screenshot_2023-12-05-20-35-00-80_40deb401b9ffe8e1df2f1cc5ba480b12.jpg
 
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toasty

Regular
Hey burnt toast, what sort of comment is that ! "something that we have yet to even remotely approach"

Give me air, Intel has been around for 55 years ! we at Brainchip were officially acknowledged as Brainchip Holdings Ltd in 2015, some
8 years ago, "remotely approach" FFS.

One guy doesn't make a team, but as you rightly point out "our latest hire
might be able to help rectify that" (along with the team)

Here's a question for all, would you prefer to buy our stock at around 18c or load up at north of $2.00....give me strength, a silver lining
is staring us all in the face, turn this shorts crap into a positive for yourself, rob a bank, bend over for the bank manager, but don't break
any laws :ROFLMAO::ROFLMAO: these stock prices won't last forever....anyone wish to by a villa, only $750,000 NZD :rolleyes:

Tech (Karikari Peninsula)
Touchy touchy. I was suggesting that we are not close to the brand power of Intel - I don't think anyone can dispute that. You might notice the word "yet" in there as well - designed to allude to the fact that I think our brand can become very powerful, it just isn't anywhere near that yet. Simply a fact.

I tend to be quite careful in how I construct posts but if you don't like what I have to say then perhaps its best to put me on ignore.
 
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