That's over 400 million since 20240206, more than 20% of SOI. That's past the take-over threshold.
Is someone playing pass the parcel?
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BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Is someone playing pass the parcel?
rgupta
Regular
That is more than 450 million shares traded for month of Feb 2024 up to now.
Important thing to answer
Still no new substantial holder.
Which means shares traded mostly with day traders.
I assume it is a right time to add one or two new substantial holder with this heavy traded volumes.
ASX has absconded:
https://www.asx.com.au/
... nothing left but an ankle bracelet and a false nose and specs ...
https://www.asx.com.au/
... nothing left but an ankle bracelet and a false nose and specs ...
Kachoo
Regular
Look at your chart the little volume up ticks some calm up trend then the big up trend.I am by no means an expert on this, It would be interesting to see what others make of this!
We have seen an average volume in the last 10 days of 45 mil (does not include today's trading) 10 days picked as 06-02-2024 we saw an unusual uptick in volume. ...the other 2 x 10 is 4.6 mil and 6.0 million...so 7 to 10 times increase
Today trading: 170 conditional trades XT / CXXT volume 3,169,116, total volume 40,242,966...so little cross trading going on?
Yesterday's shorts: 302,438 (reported) so looks like shorting is not a key sign driving factor (i think this is trending roughly the same day-to-day atm)
There is no announcement from us driving this volume, so, is someone trying going to to try and accumulate to attempt an acquisition or a beginning of a one? I would think that Brainchip will always have a target on is back given (assumed) its tech is heavy sort after as it quickly becomes a power player!
How Company Stocks Move During an Acquisition
During an acquisition, there is a short-term impact on the stock prices of both companies. Typically, the target company's stock rises, while the acquiring company's stock falls.www.investopedia.com
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Again who knows lol
Fullmoonfever
Top 20
According to google search this is from early Feb. Though, never know as TCS don't date these other than probs embedded in the page but I'm on moby.
Seems they still pretty keen on SNN...which is good to read.
www.tcs.com
Highlights
What is an SNN
Spiking Neural Network: The building block for innovation
The Spiking Neural Network (SNN) is the third generation of neural network models, built with specialized network topologies that redefine the entire computational process. The spiking makes it more intelligent and energy-efficient, which is crucial for small devices to perform.
With a three-layered feedforward specialized network topology, the SNN is one of the most powerful neural networks that can process temporal data in real-time. This high computational power and advanced topology make it suitable for robotics and computer vision applications that require real-time data processing.
SNN facilitates real-time sourcing and processing of the data and is a major improvement over other neural networks, which primarily rely on frequency rather than temporal data.
SNN is one of the most powerful neural networks that can process temporal data in real-time.
The SNN spikes are computationally more advanced, and the firing activity of the neuron in the SNN architecture is not tied to static inputs but to the notion of time.
Core SNN architecture
How SNN's are all set to shape the future
The SNN is made of billions of very well-connected neurons through a three-layer mechanism. These three—input, hidden, and output layers—work in tandem to mimic the function of the human brain. In other words, there is no separation of data perception and processing.
Instead, the entire process happens at once because the input layer’s vectors are connected to that of the hidden, which is in turn connected to the output layer. This interconnectivity ensures the continuous transmission of signals between the neurons. Among these layers, the hidden layers (there can be multiple) are the most significant ones, as this is where the convolution process takes place.
Together, the convolutional capabilities and highly connected layers take image and video processing to the next level, particularly in medical image analysis and natural language processing. These critical applications require advanced classification and processing, often in real-time.
SNN's specialized network topology unleashes numerous possibilities in the world of robotics and computer vision
The SNN has created a lot of excitement in the AI community because of its specialized network topology that unleashes numerous possibilities in the world of robotics and computer vision. The biggest advantage is SNN’s in-memory computing using neuromorphic hardware.
The human brain’s efficiency comes from its ability to store and process information from the same organ. In the case of machines, the Von Neumann bottleneck creates inefficiency and latency because the memory and processing units are separate.
So, every time data is received, it is stored in the memory and then accessed by the processing unit, which creates a delay. The SNN eliminates this two-step process through in-memory computing. Since there is no passage of information from the memory to the processing unit, the latency is reduced. Also, the energy consumption is much lower when neuromorphic hardware is used.
About the hardware
SNN to lower energy consumption
The SNN’s function closely emulates the human brain and therefore encodes temporal data, by which it introduces the concept of time along with other elements. This ensures lower energy consumption, particularly when neuromorphic hardware is used.
The neuromorphic hardware enables better performance because it simulates neurons, which is essential to stimulate differential equations to leverage the discreet and sparse behavior of the neurons. As regular hardware is not designed to handle this behavior, it can be less inefficient. Spiking Neural Networks and their classification capabilities have been tested. According to a study, the trained neurons can run the classification even when the stimuli and corresponding decision times are segregated while there is simultaneous neural activity. This has been tested on the Statlog Landsat and Iris datasets in various experiments.
Conclusion
SNN spells a breakthrough for the robotics sector
The SNN undoubtedly spells a breakthrough for the robotics sector because, unlike AI chips, the SNNs emulate the original language of human intelligence to interpret real-world data. This is precisely what robotics needs to perform tasks that are normally executed by human beings. Until now, they could only perform redundant tasks, but with SNN, that is bound to change.
Nevertheless, it cannot be denied that SNN only lays the foundation and is not perfectly aligned with human brain functions. That’s because the neurons in the various layers of the human brain adjust and auto-readjust themselves based on the situation. Although the SNN’s layering gives neurons a certain degree of individuality, it is far from becoming human-like.
Seems they still pretty keen on SNN...which is good to read.
Spiking neural networks
Spiking neural networks
Highlights
What is an SNN
Spiking Neural Network: The building block for innovation
The Spiking Neural Network (SNN) is the third generation of neural network models, built with specialized network topologies that redefine the entire computational process. The spiking makes it more intelligent and energy-efficient, which is crucial for small devices to perform.
With a three-layered feedforward specialized network topology, the SNN is one of the most powerful neural networks that can process temporal data in real-time. This high computational power and advanced topology make it suitable for robotics and computer vision applications that require real-time data processing.
SNN facilitates real-time sourcing and processing of the data and is a major improvement over other neural networks, which primarily rely on frequency rather than temporal data.
SNN is one of the most powerful neural networks that can process temporal data in real-time.
The SNN spikes are computationally more advanced, and the firing activity of the neuron in the SNN architecture is not tied to static inputs but to the notion of time.
Core SNN architecture
How SNN's are all set to shape the future
The SNN is made of billions of very well-connected neurons through a three-layer mechanism. These three—input, hidden, and output layers—work in tandem to mimic the function of the human brain. In other words, there is no separation of data perception and processing.
Instead, the entire process happens at once because the input layer’s vectors are connected to that of the hidden, which is in turn connected to the output layer. This interconnectivity ensures the continuous transmission of signals between the neurons. Among these layers, the hidden layers (there can be multiple) are the most significant ones, as this is where the convolution process takes place.
Together, the convolutional capabilities and highly connected layers take image and video processing to the next level, particularly in medical image analysis and natural language processing. These critical applications require advanced classification and processing, often in real-time.
Use cases for SNN
SNN's specialized network topology unleashes numerous possibilities in the world of robotics and computer vision
The SNN has created a lot of excitement in the AI community because of its specialized network topology that unleashes numerous possibilities in the world of robotics and computer vision. The biggest advantage is SNN’s in-memory computing using neuromorphic hardware.
The human brain’s efficiency comes from its ability to store and process information from the same organ. In the case of machines, the Von Neumann bottleneck creates inefficiency and latency because the memory and processing units are separate.
So, every time data is received, it is stored in the memory and then accessed by the processing unit, which creates a delay. The SNN eliminates this two-step process through in-memory computing. Since there is no passage of information from the memory to the processing unit, the latency is reduced. Also, the energy consumption is much lower when neuromorphic hardware is used.
About the hardware
SNN to lower energy consumption
The SNN’s function closely emulates the human brain and therefore encodes temporal data, by which it introduces the concept of time along with other elements. This ensures lower energy consumption, particularly when neuromorphic hardware is used.
The neuromorphic hardware enables better performance because it simulates neurons, which is essential to stimulate differential equations to leverage the discreet and sparse behavior of the neurons. As regular hardware is not designed to handle this behavior, it can be less inefficient. Spiking Neural Networks and their classification capabilities have been tested. According to a study, the trained neurons can run the classification even when the stimuli and corresponding decision times are segregated while there is simultaneous neural activity. This has been tested on the Statlog Landsat and Iris datasets in various experiments.
Point of view
Advancing edge computing capabilities with neuromorphic platforms
With neuromorphic computing, low latency real-time operations can be performed with significant reduction in energy costs.Conclusion
SNN spells a breakthrough for the robotics sector
The SNN undoubtedly spells a breakthrough for the robotics sector because, unlike AI chips, the SNNs emulate the original language of human intelligence to interpret real-world data. This is precisely what robotics needs to perform tasks that are normally executed by human beings. Until now, they could only perform redundant tasks, but with SNN, that is bound to change.
Nevertheless, it cannot be denied that SNN only lays the foundation and is not perfectly aligned with human brain functions. That’s because the neurons in the various layers of the human brain adjust and auto-readjust themselves based on the situation. Although the SNN’s layering gives neurons a certain degree of individuality, it is far from becoming human-like.
Terroni2105
Founding Member
François Piednoël de Normandie on LinkedIn: We are the architects.
We are the architects.
Terroni2105
Founding Member
just don’t lose your password to your account holding your BRN shares lol@Teach22 , I'll take you up on that, love to have a beer and a punt with you, so long as I don't
have to phone the TAB to put a bet on.
But not only the $2 party, the $5, $10, $20, $50, and of course the big one $100 party.
HopalongPetrovski
I'm Spartacus!
Changing mine to Seahunt as we speak!!!
Hi BS
There’s been mention of a controlled accumulation. Is there anyone on the list that might be an obvious pick for the accumulation.
Sirod69
bavarian girl ;-)
Markus Schäfer
https://www.linkedin.com/in/markus-...ofile:ACoAAC6aoewB65NbFROVU-J1KW_aATHehbgfx8E
I love intelligent technology – especially when it helps make our cars even safer for the very youngest and most vulnerable passengers.
One system we’re working on right now is called Child Presence Detection, or CPD for short. It’s designed to mitigate the risk of young children being accidentally left in a car during warm weather – and the associated, sometimes tragic, consequences.
It uses the power of our new operating system, MB.OS, to network more than 20 interfaces.
CPD is activated when it detects the presence of a child in the car through their distinctive breathing pattern. In fact, the sensors are so sensitive, they can detect the gentle breathing of a sleeping newborn baby.
If the cameras inside the car determine that a child is alone, CPD sends a series of warnings direct to the driver’s smartphone. The system also monitors the cabin temperature. If it exceeds a critical level, the car’s lights flash in sync with an acoustic signal, to attract passers-by. At the same time, the air-conditioning kicks in. If no action is taken, warning messages are sent to every smartphone that’s registered to the vehicle. In the worst-case scenario, the system will inform the Mercedes-Benz SOS call centre, or send an alert to the emergency services.
Safety is one of our priorities and MB.OS will help us introduce even more sophisticated and exciting innovations like this in the future.
Apparently the optimal crew is zero.
Fullmoonfever
Top 20
Love this guys thinking.
dplnews.com
Jorge Fernando Negrete P. Feb 7, 2024
Comparte
Jorge F. Negrete P.
The digital frontier is not heading towards the sky, but towards the tiny. JFN.
China, every time it moves, has to look back at its 3,500 years of history. The United States was born looking to the future. Today, Europe looks to China and the United States.
The USA, in its short history, has fought the most important technological battles in our contemporary society. The most important? The battle of the chips, the processors.
The power of this industry baptized a geographic and economic region of the United States: Sillicon Valley, and was born under success, first military after the Vietnam War, and later with the consumer electronics market. They have faced Asia twice. First against the Japanese in the late eighties and mid-nineties, with the powerful electronics industry of Fuji, Cannon and Sony, and now against China.
On both occasions, a processor law from Congress was vital. Every digital product has a processor or chip, as its heart.
Electronics, consumer goods, cars, airplanes, computers, ships, military weapons, radars, smartphones and the aerospace industry. The security of the United States, the West and the world depends on chips.
Processors are the basis of computing and supercomputing.
Telecommunications networks have a single purpose, to release massive amounts of data and computing processes. Chips and networks have never been so close together.
Artificial Intelligence is agnostic and the natural daughter of processors and telecommunications networks. There is no Artificial Intelligence or robust telecommunications networks without chips.
For decades, transistors, spliced to large electronic boards, were concentrated by the hundreds and thousands inside floors and computer rooms. Today, the new generation of chips can place more than 290 million transistors per square millimeter, and Intel aims to manufacture chips with one million million transistors by 2030. We are talking about 3NM (nano millimeters) processors. Science fiction via deep ultraviolet lithography.
Intel aims for Artificial Intelligence everywhere, which reaches the cloud, the laptop, edge computing (I call it neighborhood data centers) and mobile devices. This already unleashes the largest and most dizzying race for the control of Artificial Intelligence via the design of computing processors, called neuromorphic, resembling human neuronal capacity.
President Biden added massive amounts of radio spectrum to the equation. Intel envisions a silicon economy, already worth $600 billion and contributing $1 trillion to the global economy by 2030.
The axiom is: telecommunications networks + neuromorphic chips + spectrum = computing capacity = Artificial Intelligence.
Greece is the basis of the West with its philosophy, its reflection on politics and its mythological and literary fiction, Rome, under the premise of its civilizational and legal expansion; the Middle Ages rescuing Rome and Greece in monasteries; and the Renaissance, with its creative explosion, the basis of contemporary Western aesthetics.
Thousands of years giving marrow to the cultural body of the West may pale with the arrival of Artificial Intelligence. The West and the entire world will not be the same.
In this digital renaissance, Latin America and Mexico are in the best capacity to conquer a privileged place in the territory of economic, cultural, scientific and technological development. The value chain of processors needs to increase value and we are indispensable. Mexico designs chips and processors, the United States manufactures, Costa Rica assembles and distributes.
In global geopolitics, manufacturing processors is preparing a generation of engineers, consultants, analysts, companies, and transversal economic activities, vital for the 21st century, above any other economy.
Are we ready for the Digital Renaissance?
Renaissance, chips and Artificial Intelligence | DPL News
The USA, in its short history, has fought the most important technological battles in our contemporary society. The most important? The battle of the chips,
dplnews.com
Renaissance, chips and Artificial Intelligence
3NMARTIFICIAL INTELLIGENCECHINA
Jorge Fernando Negrete P. Feb 7, 2024
Comparte
Jorge F. Negrete P.
The digital frontier is not heading towards the sky, but towards the tiny. JFN.
China, every time it moves, has to look back at its 3,500 years of history. The United States was born looking to the future. Today, Europe looks to China and the United States.
The USA, in its short history, has fought the most important technological battles in our contemporary society. The most important? The battle of the chips, the processors.
The power of this industry baptized a geographic and economic region of the United States: Sillicon Valley, and was born under success, first military after the Vietnam War, and later with the consumer electronics market. They have faced Asia twice. First against the Japanese in the late eighties and mid-nineties, with the powerful electronics industry of Fuji, Cannon and Sony, and now against China.
On both occasions, a processor law from Congress was vital. Every digital product has a processor or chip, as its heart.
Electronics, consumer goods, cars, airplanes, computers, ships, military weapons, radars, smartphones and the aerospace industry. The security of the United States, the West and the world depends on chips.
Processors are the basis of computing and supercomputing.
Telecommunications networks have a single purpose, to release massive amounts of data and computing processes. Chips and networks have never been so close together.
Artificial Intelligence is agnostic and the natural daughter of processors and telecommunications networks. There is no Artificial Intelligence or robust telecommunications networks without chips.
For decades, transistors, spliced to large electronic boards, were concentrated by the hundreds and thousands inside floors and computer rooms. Today, the new generation of chips can place more than 290 million transistors per square millimeter, and Intel aims to manufacture chips with one million million transistors by 2030. We are talking about 3NM (nano millimeters) processors. Science fiction via deep ultraviolet lithography.
Intel aims for Artificial Intelligence everywhere, which reaches the cloud, the laptop, edge computing (I call it neighborhood data centers) and mobile devices. This already unleashes the largest and most dizzying race for the control of Artificial Intelligence via the design of computing processors, called neuromorphic, resembling human neuronal capacity.
President Biden added massive amounts of radio spectrum to the equation. Intel envisions a silicon economy, already worth $600 billion and contributing $1 trillion to the global economy by 2030.
The axiom is: telecommunications networks + neuromorphic chips + spectrum = computing capacity = Artificial Intelligence.
Greece is the basis of the West with its philosophy, its reflection on politics and its mythological and literary fiction, Rome, under the premise of its civilizational and legal expansion; the Middle Ages rescuing Rome and Greece in monasteries; and the Renaissance, with its creative explosion, the basis of contemporary Western aesthetics.
Thousands of years giving marrow to the cultural body of the West may pale with the arrival of Artificial Intelligence. The West and the entire world will not be the same.
In this digital renaissance, Latin America and Mexico are in the best capacity to conquer a privileged place in the territory of economic, cultural, scientific and technological development. The value chain of processors needs to increase value and we are indispensable. Mexico designs chips and processors, the United States manufactures, Costa Rica assembles and distributes.
In global geopolitics, manufacturing processors is preparing a generation of engineers, consultants, analysts, companies, and transversal economic activities, vital for the 21st century, above any other economy.
Are we ready for the Digital Renaissance?
Evermont
Stealth Mode
HopalongPetrovski
I'm Spartacus!
Seems to be along the lines of the airforce Loyal Wingman strategy.
Semi autonomous force multiplyers expanding the sensor range and weapons reach footprint keeping the crewed and command platforms out of danger but still in theatre. And yes, if you can reduce the potential losses to treasure over blood you can stay in the fight longer.
Problem at the moment is justifying shooting down $5000 drones with million dollar missiles.
BrainShit
Regular
Mercedes-Benz aims to personalize car interactions by introducing conversational features, responding to varied customer preferences globally.
Magnus Östberg, Merc’s Chief Software Officer, notes that Asian customers desire chatty interactions with car assistants, while German customers prioritize functionality.
The brand plans tailored assistant behaviors, including natural, empathetic, personal, and proactive moods.
Despite emphasizing voice control over physical buttons, Mercedes assures a luxury experience with subscription-based services, contrasting competitors’ nickel-and-diming approaches. Details on subscription models and pricing strategies remain unclear.
Would a Human Behavior Detection help? Brainchip will demonstrate one... right?
.
Magnus Östberg, Merc’s Chief Software Officer, notes that Asian customers desire chatty interactions with car assistants, while German customers prioritize functionality.
The brand plans tailored assistant behaviors, including natural, empathetic, personal, and proactive moods.
Despite emphasizing voice control over physical buttons, Mercedes assures a luxury experience with subscription-based services, contrasting competitors’ nickel-and-diming approaches. Details on subscription models and pricing strategies remain unclear.
Would a Human Behavior Detection help? Brainchip will demonstrate one... right?
.
Attachments
Now there's a coincidence.
Markus Schäfer
https://www.linkedin.com/in/markus-schäfer?miniProfileUrn=urn:li:fs_miniProfile:ACoAAC6aoewB65NbFROVU-J1KW_aATHehbgfx8E
I love intelligent technology – especially when it helps make our cars even safer for the very youngest and most vulnerable passengers.
One system we’re working on right now is called Child Presence Detection, or CPD for short. It’s designed to mitigate the risk of young children being accidentally left in a car during warm weather – and the associated, sometimes tragic, consequences.
It uses the power of our new operating system, MB.OS, to network more than 20 interfaces.
CPD is activated when it detects the presence of a child in the car through their distinctive breathing pattern. In fact, the sensors are so sensitive, they can detect the gentle breathing of a sleeping newborn baby.
If the cameras inside the car determine that a child is alone, CPD sends a series of warnings direct to the driver’s smartphone. The system also monitors the cabin temperature. If it exceeds a critical level, the car’s lights flash in sync with an acoustic signal, to attract passers-by. At the same time, the air-conditioning kicks in. If no action is taken, warning messages are sent to every smartphone that’s registered to the vehicle. In the worst-case scenario, the system will inform the Mercedes-Benz SOS call centre, or send an alert to the emergency services.
Safety is one of our priorities and MB.OS will help us introduce even more sophisticated and exciting innovations like this in the future.
View attachment 57308 View attachment 57309
We are apparently working with Socionext on a 60 GHz radar detection system which lists "child presence detection" as one of its virtues:
Automotive Custom SoC Technologies and Solutions (socionextus.com)
Automotive Custom SoC Technologies and Solutions
Socionext’s advanced automotive custom SoC solutions are designed to help OEMs and tier-one automakers achieve differentiating technologies
socionextus.com
The Socionext 60GHz RF CMOS sensor has features and capabilities to support multiple in-cabin uses, including seat occupancy monitoring, child presence detection, and theft prevention.
Advanced AI Solutions for Automotive
Socionext has partnered with artificial intelligence provider BrainChip to develop optimized, intelligent sensor data solutions based on Brainchip’s Akida® processor IP.
BrainChip’s flexible AI processing fabric IP delivers neuromorphic, event-based computation, enabling ultimate performance while minimizing silicon footprint and power consumption. Sensor data can be analyzed in real-time with distributed, high-performance and low-power edge inferencing, resulting in improved response time and reduced energy consumption.
There is that gatling gun thing ... Phalanx
Frank Zappa
Regular
. There is also Drone Shield DRO which has an invention being purchased by defence forces in the states and other countries It’s shares have gone from 20c to 70c recently due to good sales and further developments.Oh , I reached my goal today by purchasing the final parcel of BRN . Now I can sit back and enjoy the ride - waiting for the share price to fly past my average purchase price of 55c . Yes , I started buying at $1.87c . Been averaging down til today .
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HopalongPetrovski
I'm Spartacus!
Doesn’t seem to have been working that well for the Ruskies and apparently the yanks are having difficulty in the Red Sea with what the Hoots are shooting at them.
I don’t know but assume the drones target profile may be too small or maybe coming from a vector that is making neutralising them difficult?
A bit like flying aircraft into buildings.
The threat is not defended against if it wasn’t considered a possibility at the time the defence was conceived.
Well done Frank - how does it feel to be full bottle on the mother of all inventions?
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