BRN Discussion Ongoing

Gearitup

Member
No mention of BRN unfortunately but should be in the discussion...

AFR: Forget Nvidia and consider these ASX stocks instead​

Tom RichardsonMarkets reporter and commentator
Aug 15, 2023 – 6.00am

The race to reinvent the workplace by integrating artificial intelligence into business processes will unleash some of the greatest investment opportunities of the next decade and could push certain stocks up five or 10-fold in value across multiple sectors.
Kelly Brough, Accenture’s head of AI for Australia and New Zealand, says ChatGPT captured the imaginations of executives.
But identifying winning companies is the challenge, as almost every business could boost sales or reduce costs by using AI to automate tasks, create more goods and services or communicate better.
The C-suite demand to adopt and leverage AI is accelerating so much that Goldman Sachs has estimated companies will invest $US200 billion ($306.9 billion) in 2025 to drive AI-linked efficiency and productivity.
Management consultant Accenture plans to double the number of global staff it has helping companies unlock the technology’s benefits from 40,000 to 80,000 over the next few years
Accenture – as the NYSE-listed corporate-makeover specialist – argues AI co-pilots will soon be a constant assistant for every employee in office jobs in areas like financial services, software services, the media, advertising, public relations, law, medicine, the civil service, academia, and human resources.

“ChatGPT really brought the reality and potential of AI into the imaginations of the majority of executives in the world and Australia,” says Kelly Brough, the head of Accenture’s applied intelligence division for Australia and New Zealand.
“Retail is one place where both analytic and generative AI together can improve a retailer’s ability to analyse product mix and how it is placed on shelves,
“An AI-driven approach could see a 2 per cent to 10 per cent increase in sales from applying an algorithmic approach, and some of that’s because AI is more specific based on store location.”

Finding winners​

Accenture in Australia advises many of the most powerful chief executives and boards on how their businesses can beat the competition.
The company’s research claims 40 per cent of all working hours could be impacted by generative AI assistants like Chat GPT-4 because language-related tasks account for 62 per cent of total employee work hours, and 65 per cent of language tasks are capable of being transformed into more productive activity through augmentation and automation.

The dawn of the AI revolution has equities analysts and fund managers scrambling to identify potential winners before the broader market cottons on to them.
Emmanuel Datt, the Melbourne-based founder of investment group Datt Capital, says companies must have the sufficient digital technology in place to use AI as a bolted-on assistant, with data footprints large enough to be interpreted by AI to improve performance.
“Something like software logistics group WiseTech is ideal,” Datt says. “As they have global data and are entrenched in their industry, they capture lots of efficiencies and benefits from adopting AI.
“Financial services is another big one because they have long tails of customer data. Lenders, for example, have lots of credit data on customers. Insurers have a long range of historical data.
“Retailers with customer loyalty programs can trace spending habits of consumers to target and personalise marketing.
“And sticky tech platforms like Netwealth and Hub would be silly not to adopt AI given they have all this customer data.”

RBC Capital equities analyst Wei-Weng Chen says online retailers such as Kogan, Adore Beauty, and furniture merchant Temple & Webster could grow sales by using computer programs to write descriptions for around 300,000 items for sale online.
“So, [Temple & Webster] can convert more website users into sales, it’s almost impossible to manually write a good description for all items for sale online,” he says.
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AI investment is set to reinvent the workplace and flow through to every company’s financial statements
“But with AI they can do that and drive up conversions as customers have more confidence in what they’re buying with a better description and staff previously doing that they can put into more revenue generating roles.
“Temple & Webster are also rolling out ChatGPT as their pre-sales bot, so you can ask the bot, is this couch suitable for me as I have a husky dog at home?”
He adds that sharemarket investors should favour online-only retailers instead of hybrid or bricks-and-mortar retailers such as Harvey Norman and Nick Scali, which have to pay staff on showroom floors and rents for stores.

“You can’t AI your lease costs, so the online players have an advantage. ChatGPT is very cheap, they want to get companies using it. Travel companies’ customer support and chat is a big part of their business, so they’ll use it.
“Webjet at the start of the pandemic said it had to hire additional staff to deal with the volume of calls, so with a chatbot for customer support, if you crack the code it’ll be pretty powerful.”
Ultimately, for every investor the nosebleed profits will come from finding AI winners before the market.
It’s no use buying Nvidia today if everyone knows it’s a big winner, you have to find the Nvidia of tomorrow.
But if Accenture is on the money, almost every listed business is a candidate to surprise the market as an AI winner by growing sales or profits faster than expected.
Meanwhile, evidence of AI-driven success in financial statements will likely result in the market assigning businesses higher profit multiples to boost share price gains as the market’s mania for AI unfolds.
 
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Straw

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AFR

lol
actually.......sniff......snort........eye roll
 
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Don't be fooled, the pressure is mounting as the days move on...the closer we move towards years end it will increase,
yes games are being repeated constantly, but the event to blow their cover is approaching.


"Lots of work to do "....have we been approached by Australian Universities, yes we have, by several, but it's all confidential,
so we all have to wait for an announcement if things move to a fruitful conclusion...it's a brilliant program that not only
educates the young and upcoming computer engineers/scientists, it opens up the field to future employees who may be
very grateful to join a world leading company like Brainchip, being guided by Peter and Anil, what a privilege as they both
slowly make their way towards retirement over the coming years, none of us are getting any younger, I see this as a once in a
lifetime opportunity, I'd grab it if I was intelligent enough, sadly I'm too old and not smart enough :ROFLMAO::ROFLMAO:

God Bless all Brainchip supporters.

Tech (Karikari Peninsula NZ) (y)
We want licence agreements Tech
 

KMuzza

Mad Scientist
Hi Neuromorphia - there are rules for some and rules for others - keep up the good work- your research and input is really appreciated .
THE LAW IS SOMETIMES AN …….

Disappointing from the forum that you were not acknowledged and supported with all your fantastic input.

AKIDA BALLISTA UBQTUS.
 
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Straw

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I've been the ole side-eye dirty on Afr since they made it obvious they're complicit in the dirty short game against brn a while back. Does your sniffy..snorty stem from that or just a more general eye roll?
Also just for interest I'll drop this here instead of making another separate post.
Have been looking to get back in to RC flying eg. Collective pitch helis and quads. And came across this.

Can't wait till we make a name for ourselves in this field.
Thought I would share as this has 9 realtime neural networks.

Bit that specific gripe and partly a general dislike of financial reporting period. Plus I've had too much coffee.
 
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wilzy123

Founding Member
here are rules for some and rules for others

100% WRONG.

The rules are the same for everyone. This isn't the crapper.
 
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keyeat

Regular
You shouldn't get moderated if your link points to a site with pictures of chips, all looking nice and sleek, lit up like a christmas tree, with maybe a brain motif and maybe a book on pascal or prolog in the background. Another good thing to look for is a link to a $20K event camera. Not sure about the problem with Moschip. They're in India and write the software for Qualcomm, So a good find if you ask me.
This is the warning I got :

Dreddb0t: I am the law. Your post has been moderated, and you've been warned. Read the rules again and be vigilant - any further transgressions will lead to an automatic ban. Remember, ignorance is not an excuse.

Reason: The post contains a link to an external website without any context or explanation. This is considered spamming and is not allowed in the forum.


So posting a link is not good enough, you need to add context or explanation ....

It Wasnt Me Vernee Watson GIF by CBS
 
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KMuzza

Mad Scientist
1692102400582.png
 
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wilzy123

Founding Member
Wilzy
you changed the wording to suit yourself-
-you changed the word - there to “here” - and implicated another meaning and slandered me with a association of another forum.

This forum is for BRN info - play the ball and not the player.

Cheers Mate- no further discussion.

AKIDA BALLISTA UBQTUS.
I missed a letter ("t") in my highlighted response. Whoops. Doesn't change my response though.

You are 100% incorrect in saying there are rules for some and not for others on this forum.

By contrast, the crapper maintains a moderation behaviour that is inconsistent with their stated one, hence my comment.

If you continue with your tirade, this will not bode well for you here.
 
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Diogenese

Top 20
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Diogenese

Top 20
That's funny. I just did a post about Wevolver's 2023 Edge AI technology Report which has a whole page on Akida in Chapter X: The Future of AI

https://www.wevolver.com/

but it's disappeared.

It refers to the Tensor NASA SBIR:
https://sbir.nasa.gov/SBIR/abstracts/20/sbir/phase1/SBIR-20-1-H6.22-6631.html


This led NASA to select BrainChip’s first silicon platform in 2021 to demonstrate in-space autonomy and cognition in one of the most extreme power- and thermalyly-constrained applications.

Similarly, Mercedes Benz demonstrated BrainChip in their EQXX concept vehicle that can go over 1000 km on a single charge.

In the latest generation, Brainchip has taken another big step of adding Temporal Event Based Neural Nets (TENNs) and complementary separable 3D convolutions that speed up some complex time-series data applications by 500x while radically reducing model size and footprint, but without compromising accuracy.

This enables a new class of compact, cost-effective devices to support high-res video object detection, security/ surveillance, audio, health, and industrial applications. While neuromorphic computing is still discussed as a future paradigm, BrainChip is already bringing this paradigm to market
.
 
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Jasonk

Regular
Fools smash brainchip as a meme stock but back an actual crypto meme coin.. wtf lol 😆

Screenshot_20230815_213251_Chrome.jpg
 
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Straw

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Boab

I wish I could paint like Vincent
Oh yes, this gives us a very nice plug. ❤️❤️
The following is the paragraph that precedes @Diogenese earlier post.

Event-based Processing & Learning: BrainChip’s Neuromorphic AI Solution
BrainChip is one of the pioneers of bringing neuromorphic computing to the edge. While traditional neuromorphic approaches have used analog designs to mimic the neuron and synapse, BrainChip has taken a novel approach on three counts.

Firstly, their design is a fully digital design that is portable and reliable.

Secondly, not only do they support spiking neural nets, but they have applied event-based execution to traditional convolutional networks, thereby rendering neuromorphic computing mainstream today. This allows current CNN/RNN models to run much more efficiently and drives far more capable performance on extremely low-footprint, low-power devices at the sensor.

Thirdly, delivering on-device learning allows for personalization, customization, and other learning untethered from the cloud.

Brainchip’s Akida neural processor is offered as IP and is configurable from energy-harvesting applications at the sensor edge to high-performance yet power-efficient solutions at the network edge. It is sensor-agnostic and has been demonstrated on a variety of sensors.

As a self-managed neural processor that executes most networks completely in hardware without CPU intervention, it addresses key congestion and system bandwidth challenges in embedded SoCs while delivering highly efficient performance. With support for INT8 down to INT1 and skip connections, it handles most complex networks today, along with spiking neural nets.
 
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