BRN Discussion Ongoing

Boab

I wish I could paint like Vincent
Fair enough @Fox151. I mean who are we to judge how you pass your time? Have you considered purchasing some titanium undies to protect the family jewels? 🤜


View attachment 17487
Nut Jobs
Nut job.jpg
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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I'm gonna read The M.a.r.k.e.t Herald and punch myself in the cock a dozen times.
We are all responsible for our own well being .Just my own opinion and definitely not advice but paying for a 12 month subscription may not be the best way to go .
 
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Esq.111

Fascinatingly Intuitive.
I imagin that's how the US Federal Reserve sets the cash rate, last one standing wins.

😃 .

Esq.
 
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Slymeat

Move on, nothing to see.
You pipped me at the post or is that to the post😉😉
I like @Lex555's abbreviated image better as I also hold CXO which is at the top of the decliners list. :(

It is lovely seeing Brainchip getting some free publicity. At last. All that hard work by the 1000 eyes has paid off in convincng the ASX to report the ASX200 gainers correctly. It only took about 6 months!
 
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Slymeat

Move on, nothing to see.
I am actually going to go to the newsagents and buy the Australian Financial Review as I read that 2—3 times a week years ago and enjoyed doing it . Why I stopped I do not remember. I see old farts reading them in coffee ☕️ shops . Maybe there is a renaissance happening like vinyl and now cassettes.
And now that Disney have moved to DVDs, and online, there might be hope for Beta yet! Shouldn't be any competition.
 
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Slymeat

Move on, nothing to see.
Really bad acronym for dyslexic people..
That's the way I originally read it. Maybe I just haven't been diagnosed yet!
 
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Doesn't even show up in Nabtrade top 20.
On motley fool

Brainchip Holdings Ltd(ASX: BRN)​

The Brainchip share price is up 5.5% to 87.5 cents. Investors have been buying this loss-making semi-conductor company despite there being no news out of it. They may believe that recent weakness in the Brainchip share price has created a buying opportunity. That’s despite its market capitalisation still hovering around $1.5 billion


What a bunch of wancas
 
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On motley fool

Brainchip Holdings Ltd(ASX: BRN)​

The Brainchip share price is up 5.5% to 87.5 cents. Investors have been buying this loss-making semi-conductor company despite there being no news out of it. They may believe that recent weakness in the Brainchip share price has created a buying opportunity. That’s despite its market capitalisation still hovering around $1.5 billion


What a bunch of wancas
That wording, phrasing etc sounds exactly like something (ball) sackman would post elsewhere....hmmmm.
 
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S

Straw

Guest
On motley fool

Brainchip Holdings Ltd(ASX: BRN)​

The Brainchip share price is up 5.5% to 87.5 cents. Investors have been buying this loss-making semi-conductor company despite there being no news out of it. They may believe that recent weakness in the Brainchip share price has created a buying opportunity. That’s despite its market capitalisation still hovering around $1.5 billion


What a bunch of wancas
Massive egos, zero integrity.... dodgy as hell.
 
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rgupta

Regular
View attachment 17494

Just checking if the MBUX hyprrscreen have brn ip.
I assume Merc is going with us for EQXx which means that screen will be more intelligent than this one. As Merc quoted it is 10 times better than any other alternative available.
 
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Xhosa12345

Regular
I don't know it's a bit hard to tell. I might need to watch it over again as many times as I watched that Qualcomm video to know for certain. But I will say this, whatever he's neglecting in the punching department he is trying to make up for in the thrusting department. I'd probably have to ask for my money back on account of the fact that it looks like he's cutting corners.
Bravo you're best insights are usually at the 3rd or 4th viewings.....

:love:
 
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Boab

I wish I could paint like Vincent
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Boab

I wish I could paint like Vincent
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equanimous

Norse clairvoyant shapeshifter goddess
Came across this and thought it was relevant to share in this current financial situation

I heard they down graded the British pound to an Ounce

 
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buena suerte :-)

BOB Bank of Brainchip
On that note it reminded me of this ..........

Cheers to a Green day... enjoying a Red 🍷🍷🍷 :cool:

BrainChip Wine Tasting​


1664270520818.jpeg







In this video, BrainChip demonstrates for the first time a live application of the Akida1000 accurately tasting different types of wine.
 
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Learning

Learning to the Top 🕵‍♂️
From the untrained eye, this looked like they are searching of Akida back in April 2020. I wonder if Brainchip has submitted their White Paper?

Air Force researchers ask industry for SWaP-constrained embedded computing for artificial intelligence (AI)​

April 27, 2020
The potential $99 million five-year project seeks to achieve improvements in SWaP for artificial intelligence and machine learning embedded computing.
John Keller

Ai Embedded Computing 27 April 2020


ROME, N.Y. – U.S. Air Force researchers are asking for industry help in making big improvements in small, lightweight embedded computing for artificial intelligence (AI) and machine learning (AI/ML) capabilities in an embedded computing environment.
Officials of the Air Force Research Laboratory's Information Directorate in Rome, N.Y., issued a broad agency announcement on Thursday (FA875019S7007) for the Robust and Efficient Computing Architectures, Algorithms, and Applications For Embedded Deep Learning.
The potential $99 million five-year project seeks to achieve orders of magnitude improvement in size, weight and power (SWaP) for deploying artificial intelligence and machine learning capabilities in an embedded computing environment.
Researchers are asking industry for embedded computing technologies with improved autonomy, intelligence, and assurance for command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) applications in SWaP-constrained Air Force applications. Of particular interest are advanced efficient computing architectures, algorithms, and applications.

Related: AI, machine learning driving embedded bus-and-board development
The Air Force needs unconventional computing architectures for pattern recognition, event reasoning, decision making, adaptive learning, and autonomous tasking on energy-efficient Air Force manned and unmanned aircraft.
A major focus area is neuromorphic computing -- or brain-inspired computing that involves processors more advanced than more-traditional the Von Neumann architectures. This kind of design could lead to unconventional circuits based on emerging nanotechnology like memristors and nano-photonics, researchers say.
There is a need for in-hardware and efficient adaptive learning architectures and algorithms, as well as novel artificial intelligence and machine learning algorithms optimized for neuromorphic computing hardware architectures.
Air Force researchers want to demonstrate modular computing for future real-time embedded plug-and-play capabilities. Technologies could include artificial intelligence and machine learning models for big data analytics for sensor processing; data fusion algorithms for situational awareness and sense making; and autonomous decision making.
Related: Microelectronics packaging for SWaP-constrained military embedded computing introduced by Mercury
Modular designs should support interchangeable sensors, with automatic software reconfiguration based on available resources. Companies participating should choose computing and interfaces to accommodate expected growth in data bandwidth in future systems. SWaP optimization is a priority.
Other considerations are ways to validate and improve scalability and security for artificial intelligence and machine learning technologies; deep-learning models and algorithms; and power-aware and energy-optimized deep learning models and algorithms for embedded computing.
Companies interested should email white papers no later than 27 May 2022 to the Air Force's Albert Frantz at albert.frantz@us.af.mil. Other deadlines for white paper submissions are 30 April and 31 July 2019; 29 May 2020; and 28 May 2021.
Related: DARPA asks industry for SWaP-optimized machine learning real-time ASICs able to learn from data
Those submitting promising white papers will be asked to submit full proposals. Email technical questions or concerns to Albert Frantz at albert.frantz@us.af.mil, and contracting questions to Amber Buckley at amber.buckley@us.af.mil.
More information is online at https://beta.sam.gov/opp/710000c429424dbf87606d0bc569d29e/view.



Learning.
 
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For those with the morbid interest..



Quote
"when I first began taking kicks to the testicles, there was a lot of fear involved" 😲
 
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