BRN Discussion Ongoing

Labsy

Regular
Anyone want to speculate why Mr VDM would donate 333333 shares? Perhaps expecting an Sp of 3 dollars in the near future for a nice round number donation?... 😉🙏
 
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HopalongPetrovski

I'm Spartacus!
Anyone want to speculate why Mr VDM would donate 333333 shares? Perhaps expecting an Sp of 3 dollars in the near future for a nice round number donation?... 😉🙏
The Adventist Development and Relief Agency (ADRA) is the official humanitarian agency of the Seventh-day Adventist Church.

Overseas, ADRA works with communities in the South Pacific, Asia and Africa to bring transformative change. Our work is focused in the areas of health, livelihoods, education, and disasters. In Australia, ADRA partners with local churches to run initiatives such as food pantries, community gardens and emergency relief to help those in the community who would otherwise fall through the cracks. When accessing these services, those receiving assistance also find comfort in the companionship of ADRA and church volunteers, creating a stronger sense of belonging within their community.

PVDM trying to do some good in the world.
Good on him.

Now just watch the a'holes over on the crapper drag his name through the mud trying to shed a negative light on it.
 
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7für7

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Further perspective from a real economist on the impact and implications of the tariff's on world trade.
Feel free to skip over if you are not interested.




This guy is basically a communist and talks about economics 😂 ridiculous
 
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HopalongPetrovski

I'm Spartacus!
Opinions, arseholes, we've all got at least one. 🤣
 
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Esq.111

Fascinatingly Intuitive.
Opinions, arseholes, we've all got at least one. 🤣
Afternoon Hop ,

On a lighter note , Medically speaking , Apparently the human form has many..

Sphincter muscles examples are iris sphincter, anal sphincter, ileocecal sphincter, pyloric sphincter; there are about fifty to sixty different types of sphincter muscles in the body. Some are microscopic, such as millions of precapillary sphincters in the circulatory system.


:LOL:

Hope we have all learnt something new for the day.


On a side note, our share price is holding up nicely today , What with all going on in the world.

Regards ,
Esq.
 
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Rskiff

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7für7

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As long as someone’s opinion doesn’t affect my own life and lifestyle, they can do whatever they want with their bodily orifices… it’s none of my business. But when a minority believes they have the right to tell me how to think and directly interfere with my life – for example, through financial cuts like tax increases for high earners or the wealthy – while they themselves have their own assets secured, live outside the system, and keep imposing more and more limits on the people, then it is my problem.

So, when a communist who already sits on considerable wealth presents himself as modest and socially conscious, and then thinks he has the right to tell others how things should be run – even though, as finance minister, he was partly responsible for the precarious economic situation of his country due to his unwillingness to negotiate – it leaves a bitter taste in my mouth.

That goes for all pseudo-leftist actors who portray themselves as some sort of Mother Teresa. Why don’t they give away 70% of their wealth to the people? Exactly… you get the point.

 
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TheDrooben

Pretty Pretty Pretty Pretty Good
20230427_193128.gif
 
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7für7

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How the BRN feels today after closing in the green — and on a Friday, no less.


 
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Unfortunately,
A long way to go to reach all time high 😂
Seems like it will never happen, but I know it will, just amazing with all the positive news and partnership's
Just waiting on the dollars 💵 to show up in the financials
I think I have gone blind watching them.
This is our year just like last…..
But in all seriousness I am of the belief that it will be 2027 when things really start to move.

A cent here or there is like mah
When we start to move 10 cent plus a day then it’s game on but until then much ado about nothing.
 
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HopalongPetrovski

I'm Spartacus!
Meta (Facepalm)

Meta is being excoriated before US Senate by whistleblower:



So I thought I'd check on their AI tech:

Llama 4​

Introduction
The Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. The models have a knowledge cutoff of August 2024.

"a knowledge cutoff of August 2024" - ie, no ML.

Mutatis mutandis


Hi Dio.
This episode covers both the above and that machine that uses human cortical cells.
Thought you may be interested.



 
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TheDon

Regular
Anyone want to speculate why Mr VDM would donate 333333 shares? Perhaps expecting an Sp of 3 dollars in the near future for a nice round number donation?... 😉🙏
3 big contracts on the way
 
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manny100

Regular
Afternoon Hop ,

On a lighter note , Medically speaking , Apparently the human form has many..

Sphincter muscles examples are iris sphincter, anal sphincter, ileocecal sphincter, pyloric sphincter; there are about fifty to sixty different types of sphincter muscles in the body. Some are microscopic, such as millions of precapillary sphincters in the circulatory system.


:LOL:

Hope we have all learnt something new for the day.


On a side note, our share price is holding up nicely today , What with all going on in the world.

Regards ,
Esq.
I guess a PICO wearable will give us fair warning before we crap ourselves. Slight variation in rumbles in that region would be picked up. It would be a real bummer if that did not sell.;););)
 
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manny100

Regular
I guess a PICO wearable will give us fair warning before we crap ourselves. Slight variation in rumbles in that region would be picked up. It would be a real bummer if that did not sell.;););)
Would be a must have in nursing homes or after a big night out.
 
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Frangipani

Top 20

CB1552F9-79C5-4602-B5DA-69EF83548904.jpeg
 
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Would be a must have in nursing homes or after a big night out.
It's not actually a joke..
SocioNext listed smart nappies as an application years ago.

This Korean company which "did" operate the following website for Australia, has since "moved" back to Korea (and it's in Korean).

The transferable sensor, works off of a phone app.
"Seems" to be just for wee (maybe wee&poobell was deemed not "catchy") but other sensors, could easily be incorporated.

There are probably several other manufacturers operating/coming online.


 
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DK6161

Regular
Anyone want to speculate why Mr VDM would donate 333333 shares? Perhaps expecting an Sp of 3 dollars in the near future for a nice round number donation?... 😉🙏
There's 666,666 more shares he is planning to give away (2 more batches) to make a total of 1 million shares being donated this time around.
Expect them all being dumped straight away, as the recipients are generally don't hang on to shares.
Anyway, I suspect he is giving them away before he gets too old (and while they still have little value).
 

equanimous

Norse clairvoyant shapeshifter goddess
It's not actually a joke..
SocioNext listed smart nappies as an application years ago.

This Korean company which "did" operate the following website for Australia, has since "moved" back to Korea (and it's in Korean).

The transferable sensor, works off of a phone app.
"Seems" to be just for wee (maybe wee&poobell was deemed not "catchy") but other sensors, could easily be incorporated.

There are probably several other manufacturers operating/coming online.


Weebell is Korean slang for Smartarse
 
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Rach2512

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Tothemoon24

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IMG_0918.jpeg


In this rapidly growing digital era, innovations in edge AI computing are fundamentally transformingautonomous vehicles. In his latest work, Murali Krishna Reddy Mandalapu, a leading expert in automotive computing systems, dives deep into the hardware and algorithmic breakthroughs shaping this fast-evolving landscape.

Data Tsunami on Wheels


Autonomous vehicles generate astonishing amounts of sensor data—up to 19 terabytes per hour. From high-resolution cameras and LiDAR to radar and ultrasonic sensors, the perception systems create diverse data streams that demand fast, synchronized, and accurate interpretation. Millisecond-level timing misalignments can drastically reduce safety, and every 10ms delay equates to critical extra stopping distance. This scale of complexity requires not just fast computing, but intelligent prioritization of tasks under tight energy and thermal constraints.

From GPUs to Purpose-Built Brains


Early autonomous systems used modified consumer GPUs, which, although helpful, were bulky, power-hungry, and inefficient. The evolution brought automotive-grade accelerators with significantly improved performance-per-watt and tailored memory architectures. Today, heterogeneous computing platforms dominate—combining processors specialized for tasks like convolution, sequence analysis, and trajectory planning. These modern platforms deliver up to 94% reductions in energy consumption compared to general-purpose setups, while squeezing 15 TOPS (trillion operations per second) per liter into limited vehicle space.

The Edge-Cloud Tug of War


Deciding where to process data—onboard or in the cloud—. Edge computing excels in latency-critical tasks like emergency braking, delivering response times of just 5–15 milliseconds. In contrast, cloud computing offers vast processing power ideal for compute-heavy operations such as simulations and high-definition map generation. However, it depends on stable connectivity and increases exposure to cyber threats. A hybrid approach provides the best of both worlds: safety-critical decisions are made locally at the edge, ensuring real-time responsiveness, while the cloud handles intensive analytics and storage when bandwidth and conditions allow, optimizing performance and reliability.

Compact, Fast, and Smarter Models


Getting complex AI models to run efficiently on constrained vehicle hardware has led to a wave of smart optimization techniques. Quantization compresses models by reducing numerical precision, slashing memory use and energy draw without compromising accuracy. Pruning trims away unnecessary network weights, while knowledge distillation helps smaller models learn from larger ones, achieving near-equivalent performance. At the frontier is hardware-aware neural architecture search, which automatically tailors models to specific processors, reducing latency by up to 48%.

Neuromorphic Thinking on the Road


Neuromorphic computing is inspired by the human brain, promising a revolutionary advancement in processing which is both energy-efficient and evinces response-like characteristics. In contrast to traditional frame-based systems, this employs event-driven sensors which wake up when something changes, reducing power consumption by as much as 95%. This type of technology works well in ashore dynamic environments with rapid changes and extreme lighting differences-because of example-tunnel exits or driving at night. Microsecond reaction times characterize neuromorphic systems as well as consistent performance in detection at places where conventional sensors fail. They also make real-time processing for sparse-relevant data, making them ideal applications with demanding high speed and low latency under rigid perception in complex situations.

Power in Numbers: Distributed AI


Self-driving systems are utilizing a distributed computing architecture rather than central hubs to improve performance and resilience. An arrangement where multiple processing nodes are scattered throughout the vehicle allows sensor fusion, object detection, and path planning tasks to be executed in parallel, resulting in markedly reduced latencies. This arrangement also increases fault tolerance, since if one node fails, the others can take over, assuring that the system continues to run. Dynamic workload reallocation ensures that the system can adjust appropriately in response to changes in traffic and environmental conditions, therefore optimizing resource use. Spreading the computations among the nodes also creates less heat, an important requirement for thermal management in space-constrained automotive environments, thereby ensuring smoother, safer, and more energy-efficient driving.

Learning While Driving


Autonomous vehicle training data were held static until the traditional AI model was used once and then frozen and left to be used. Continuous learning systems have changed this equation. Accordingly, they allow vehicles to adapt to their new environments and unexpected scenarios. This means vehicles are getting progressively better with time, even in new situations. Federated learning is a privacy-preserving technique that enables vehicles to share knowledge without sharing raw data, thus maintaining user confidentiality and improving system intelligence. Constrained updating ensures safety by preventing major behavioral shifts while at the same time incrementally improving robustness.
To sum up, Murali Krishna Reddy Mandalapu gives a stimulating glimpse into the very near future of self-driving cars powered by edge AI. With advances in neuromorphic computing, distributed architectures, and real-time adaptive learning, the autonomous systems industry is now at a tipping point where it will deploy smarter, faster, and safer technology. These advances incorporate not just technological considerations but also redefine the infrastructure of mobility itself, sculpting a future where vehicles think, learn, and react like never before.
 
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