BRN Discussion Ongoing

[Slade]

You decide whether this is a realistic true Co fact or a negative post as you put it:

Brainchip Holdings Ltd (BRN) floated on the Australian Securities Exchange (ASX) on Wednesday, 9 November 2011.
BRN's current share price of $0.18 is a -$0.08 or 30% discount to its original offer price of $0.25.

Thanks Can you please post this tomorrow in case some of us forget. What would we do without you @Xray1

 

[Damo4]

It's funny, Shareman eventually resorted to posting copy/paste replies, loosely concealed as a legitimate reply.


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@Xray1 if you'd like to bother to discuss what you are posting, maybe you can touch on why you think anyone in their right mind would avoid buying BRN at a 30% discount when what we know now FAR EXCEEDS our knowledge of Brainchip back then.

IMO we have de-risked substantially, so the current price is disconnected from the success the company has seen.
Almost as if shareholders have expectations (or create ultimatums) that lack understanding of the technology and market.

 

[7für7]

Looking at the fact that Brainchip is being compared to other big competitors and how advanced they are in the field of neuromorphic technology, we should relatively easily sit back and watch how BRN cleverly position their self. In the second, in my opinion, it's quite intelligent not to make direct enemies as a newcomer and hammering away while shouting "we're the best." Instead, you build partnerships, offer your services in universities, and engage in collaborations with the development of other AIs. This way, you take the wind out of the sails of your competitors and show them, "Look, we can enrich you, and you can save time and money on development. The potential is there, and everyone mentions positively who works with Akida. Additionally, Brainchip is not rigid in product development and accepts criticism, constantly improving Akida based on customer feedback. So where's the negative? The stock price? Yes, but only in the short term. Sometimes, when you realise you get from scepticism to negativity, you should start to read some articles about Brainchip, some good postings here and newsletters etc. to refresh! dyor

 

[Cardpro]

@Xray1 if you'd like to bother to discuss what you are posting, maybe you can touch on why you think anyone in their right mind would avoid buying BRN at a 30% discount when what we know now FAR EXCEEDS our knowledge of Brainchip back then.

IMO we have de-risked substantially, so the current price is disconnected from the success the company has seen.
Almost as if shareholders have expectations (or create ultimatums) that lack understanding of the technology and market.

The fact that the company was not able to make any progress in terms of revenues for over a decade...?

Shareprice is disconnected because all the positive progresses was not reflected in our annual/quarterly statements.

Money talks...

I truely hope we will be able to see something soon...

 

[The Pope]

For those who know or believe megachips and BRN have been working together for the past 3 years or more to get the new Nintendo switch developed it is 100% confirmed it will be released in 2024.
Refer link —> https://screenrant.com/nintendo-direct-confirmed-switch-2-2024-realease-date/#:~:text=September's%20Nintendo%20Direct%20Basically%20Confirmed%20The%20Switch%202%20Is%20Out%20In%202024,-By%20Ben%20Brosofsky&text=The%20September%20Nintendo%20Direct%20was,be%20gleaned%20from%20the%20presentation.

My understanding is the nintendo switch 2 (or maybe called Nintendo NG) is not released in March / April 24 then it would be released in Sept / Oct 24. This is typically how they like to roll out a release new hardware.

I’m sure X-ray 1 (The shareman?) amd few others may have their doubts so join in and provide other links to other material that suggest otherwise that there is no evidence of a partnership between Megachips and BrainChip with the future Nintendo switch in 2024

Yeah, all will need to watch the financials (4C’s next year) but if BRN tech is in the upcoming new Nintendo switch then there should be some lumpy revenue kick in sometime in 2024.

Enjoy the ride.

Cheers
The Pope

Edit- maybe this is why a couple of people on this forum have adjusted their timelines for revenue to increase a lot more from Jan 25?
I’m sure any official news of the above would push the SP up a little.

 

[cassip]

article in the German "Handelsblatt" today about AI energy consumption

Artificial intelligence
Researchers see AI as huge power hog and want to rein in consumption
AI could also help in the climate crisis. The downside: the computationally intensive AI models are enormous energy guzzlers - and the trend is rising. Researchers see a need for change

Potsdam. Artificial intelligence (AI) applications are also expected to help with climate protection in the future, but researchers are warning of a sharp rise in energy consumption by AI data centers. "AI tools consume a lot of electricity, and the trend is rising," Ralf Herbrich, managing director of the Hasso Plattner Institute (HPI) in Potsdam and head of the Artificial Intelligence and Sustainability department, told Deutsche Presse-Agentur. Just training a single AI model is an energy-intensive process, he said, with elaborate prediction calculations.

Amsterdam-based data scientist Alex de Vries compares the energy consumption from using a search engine that uses AI to that of entire countries. Scientists and Internet companies are working to improve the environmental footprint of AI.

Translated with www.DeepL.com/Translator (free version)

https://www.handelsblatt.com/technik/ki/kuenstliche-intelligenz-forscher-sehen-ki-als-enorme-stromfresser-und-wollen-verbrauch-zuegeln/29460406.html

 

[cosors]

Weebit enjoying the sort of run (after copping a hammering), I'm hoping for us, when we release, or are positively implicated in some significant other's, announcement.
So lovely to hear the pop and crackle, and see the desiccated flaming husks of the shorter's burning as they fall, turbocharging WBT's ascent over the past few trading sessions.
The shorts have done very well out of us over the last 18 months or so.
Perhaps the time is coming for a change in our collective fortunes.
Who knows just when?
Or just what may be contained within the upcoming 4C?
Most of us are now so chargrilled and tempered by the experience that we are pretty much immune to any further downside and see it merely as further opportunity, given any remaining capacity to indulge.
I am ready to extract full measure from whatever BRN has in store for us and know our day is coming again.
Bring it, BrainChip.

The ASX has turned a Y into a N. Maybe because WBT is heavily shorted. I can only guess. In any case, the CEO has made it clear that the ann was filed as a price sensitive Y and the ASX has made it to N. Back then with Skywater the ASX left it at Y. You can see the difference with 2021 below. A fool who thinks the ASX covers clients?

price sensitive how to categorize it Weebit?

So many blame only the board. I don't think that's right. You see one player acting up here. That's my guess. It's a system to make money.

 

[Damo4]

The fact that the company was not able to make any progress in terms of revenues for over a decade...?

Shareprice is disconnected because all the positive progresses was not reflected in our annual/quarterly statements.

Money talks...

I truely hope we will be able to see something soon...

That's weird, the reports I've seen definitely have revenue and cash receipts...

Also when the company went public at 25c, what revenue did they have then?
Again, how is a 30% discount to day-0 BRN not an insane buying opportunity.

Another question to ponder: What makes a shareholder (who definitely didn't get sucked into the Mercedes hype and buy over $1) decide the company is so bad they want to trash it on a forum, and yet still hold it and not sell instead?

Imo there's reasons outside the company's control for that kind of behaviour.

 

[jtardif999]

As you both may recall, there were ~174 Million votes cast from shareholder/s at the last AGM, that showed that they weren't happy with management which resulted in a " Strike 1" scenario. Given the Co's current lumpy financial position, the lack of any new IP agreements, the lack of ASX announcements, together with the most recent departure of Chris Stevens and with really only two more 4C's after this one to come before the next AGM, our Co's position needs to substantially change for the better .... Accordingly, imo things aren't currently looking too good ............ I personally do hope that this 4C and the next two 4C's show's us s/holders a much improved financial positions together with new IP uptake Agt's before the next AGM thus hopfully avoiding any potential "Strike 2" situation.

So you want to paint the second strike in based on having continued lumpy revenue but with no announced ip deals before the agm? ..when continued lumpy revenue would actually mean continued activity of the kind that should lead to signed contracts? It’s a bad idea imo to paint a revolution starting technology into a lack of royalty revenue corner when how long anything takes is totally dependent on the companies they are dealing with and how quickly those companies are willing to proceed, or when proceeding how long the process of doing so takes. There are so many moving parts to this and we should try to accept it for what it is or otherwise when the time is right sell out if you no longer have faith in management or Akida to deliver. Just my two cents.

 

[M_C]

Breakthrough way to train neuromorphic chips

Neuromorphic computers - which are based on the structure of the human brain - could revolutionize our future healthcare devices. However, their

www.miragenews.com

Researchers from Eindhoven University of Technology and Northwestern University in the US have developed a new neuromorphic biosensor capable of on-chip learning that doesn't need external training. As a proof-of-concept, the researchers used the biosensor to diagnose cystic fibrosis based on sweat samples.

"We have demonstrated that we can create a 'smart biosensor' that could learn to detect a disease, such as cystic fibrosis, without using a computer or software." That's how Eveline van Doremaele summarized their new paper with Yoeri van de Burgt from TU/e, as well as Xudong Ji and Jonathan Rivnay from Northwestern University in the US that has just been published in Nature Electronics,

 

[equanimous]

As you both may recall, there were ~174 Million votes cast from shareholder/s at the last AGM, that showed that they weren't happy with management which resulted in a " Strike 1" scenario. Given the Co's current lumpy financial position, the lack of any new IP agreements, the lack of ASX announcements, together with the most recent departure of Chris Stevens and with really only two more 4C's after this one to come before the next AGM, our Co's position needs to substantially change for the better .... Accordingly, imo things aren't currently looking too good ............ I personally do hope that this 4C and the next two 4C's show's us s/holders a much improved financial positions together with new IP uptake Agt's before the next AGM thus hopfully avoiding any potential "Strike 2" situation.

Xray no offence but you mention Strike so many times I beginning to believe your a professional ten pin bowler

 

[rgupta]

So you want to paint the second strike in based on having continued lumpy revenue but with no announced ip deals before the agm? ..when continued lumpy revenue would actually mean continued activity of the kind that should lead to signed contracts? It’s a bad idea imo to paint a revolution starting technology into a lack of royalty revenue corner when how long anything takes is totally dependent on the companies they are dealing with and how quickly those companies are willing to proceed, or when proceeding how long the process of doing so takes. There are so many moving parts to this and we should try to accept it for what it is or otherwise when the time is right sell out if you no longer have faith in management or Akida to deliver. Just my two cents.

I am sorry but there is no lump in the revenue. So please don't over state.

 

[Xray1]

It's funny, Shareman eventually resorted to posting copy/paste replies, loosely concealed as a legitimate reply.


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Some posters here need to be continually reminded of certain facts .. hint, hint !!

 

[cosors]

I listened to his podcast with Dr Alexandre Marcireau from WSU’s ICNS (International Centre for Neuromorphic Systems) a couple of weeks ago, but can’t seem to find it posted here, yet, via the search function. No mention of Brainchip, but worthwhile listening to nevertheless.

A link to the podcast transcript is also provided below.

One thing that confuses me, though, in the article & podcast below as well as in other publications, is how the term “analog” is being used here (eg “The Future of AI is analog“).

Is it correct to say in this context it doesn’t refer to the analog vs digital logic circuitry design specifically (such as Akida being fully digital vs. eg Mythic’s analog compute architecture) but rather to the general concept of the extremely power-efficient way our brain processes information (neurons working asynchronously and in parallel etc) which differs fundamentally from the way a digital computer operates on data expressed in binary code?

So is analog here essentially just being used as a synonym for neuromorphic?

So is analog here essentially just being used as a synonym for neuromorphic?

"7 Analog Computing Companies Powering Next-Generation Applications​

October 16, 2023
by Quantum Business Intelligence

Analog computing, a method rooted in continuous physical phenomena like electrical voltages or mechanical movement, stands in contrast to the discrete 0s and 1s of digital computing. Historically, tools like slide rules served as rudimentary analog computers, and even water was once employed for complex economic calculations. However, the modern analog revolution is chip-based, with numerous companies delving into its potential, especially in neuromorphic computing. This approach seeks to emulate the human brain’s structure and function, using circuits to mimic neurons and synapses, offering a more efficient and parallel processing alternative to traditional digital methods.

...

BrainChip​

...
In conclusion, while analog computing might seem like a relic of the past, its principles are finding new life in modern applications, especially in neuromorphic computing. The companies listed above are just a few pioneers leading the charge in this exciting field. Read another Article about Analog Computing, what it is, and how it relates to Quantum Computing*."
https://quantumzeitgeist.com/7-analog-computing-companies-powering-next-generation-application/

* =>

"Is Analog Computing the Quiet Computing Revolution that you haven’t heard of​

October 12, 2023 by Schrödinger

Though not used as commonly today due to digital calculators, slide rules are a form of analog computer that can perform multiplication, division, and other functions by sliding scales against one another. In the past, researchers have even used water to compute complex calculations for use in economics. But today’s revolution is fully chip-based, and numerous companies are exploring Analog Computing.

What is Analog Computing?​

Analog computing is a method of computation that utilizes continuous physical phenomena, such as electrical voltages or mechanical movement, to represent and process information. Unlike digital computers, which use discrete values like 0s and 1s, analog computers work with continuous signals. They can solve complex mathematical equations, especially differential ones, in real time. Historically, analog computers were widely used in scientific and industrial applications, such as predicting tides, controlling machinery, and simulating flight dynamics, before the rise of digital computing. While they have been largely overshadowed by their digital counterparts, analog computing principles are still explored today in specific applications and research areas.
One of the most intriguing developments in analog computing in recent years is neuromorphic computing. Neuromorphic engineering, or neuromorphic computing, seeks to design systems that mimic the structure and function of the human brain. These systems use circuits to emulate the behavior of neurons and synapses, allowing for more efficient and parallel processing than traditional digital methods.

Use-cases for Analog Computing.​

Neuromorphic systems, when related to analog computing, refer to hardware architectures specifically designed to mimic the neural structures and functionalities of the brain. These systems leverage the inherent strengths of analog computing to emulate the continuous and parallel nature of biological neural networks.
In artificial intelligence (AI), neuromorphic systems offer a more efficient way to train neural networks. Their adaptive nature allows them to learn from data more effectively, potentially leading to faster and more accurate AI models.
An application of neuromorphic computing is in robotics. Robots equipped with neuromorphic chips can process sensory data in real time, allowing them to adapt to their environment more effectively. This is crucial for navigation, object recognition, and interaction with humans or other robots.

Neural Network Simulations and Machine Learning​

Analog computers, especially neuromorphic systems, are designed to emulate the behavior of neurons and synapses in the brain. This makes them particularly suitable for running neural network simulations and machine learning algorithms. Their inherent parallelism and energy efficiency can lead to faster processing times and lower power consumption than traditional digital systems when executing these tasks.

Signal Processing​

Analog computers can be used for real-time signal-processing tasks. For instance, they can be employed in filtering noise from signals, amplifying specific frequencies, or modulating signals. Their ability to process continuous data streams in real time makes them ideal for audio processing, telecommunications, and radar systems applications.

Control Systems​

Analog computers have historically been used in control system applications, such as guiding rockets or controlling industrial processes. They can simulate and predict system behaviors and provide real-time feedback to adjust parameters, ensuring optimal performance and stability.

Differential Equations Solving​

Analog computers can solve differential equations much faster than their digital counterparts by directly modeling the continuous changes described by the equations. This capability is in fields like physics, engineering, and economics, where differential equations are commonly used to define system dynamics.

Optimization Problems​

Analog computers can be deployed to solve optimization problems by finding the minimum or maximum values of functions. For example, they can be used in network design to find the most efficient path or in financial modeling to optimize investment portfolios.

Companies Involved in Analog Computing​

Intel and Analog Computing​

Intel is one of the leading companies delving into neuromorphic computing. Their research in this area has led to the developing of “Loihi,” a neuromorphic research chip. Loihi mimics the brain’s basic computational unit, the neuron, allowing it to process information more efficiently. The chip can adapt quickly, making it suitable for complex tasks like pattern recognition and sensory data processing.
The chip is equipped with 128 cores, each containing 1,024 artificial neurons, resulting in a total of over 130,000 neurons. These neurons can be interconnected with approximately 130 million synapses. The adaptive nature of Loihi allows it to learn in real time, making it particularly effective for tasks like pattern recognition, sensory data processing, and even robotics.

Aspinity and Analog Computing ​

Another notable name in the field focuses on analog processing for edge devices. The company is named Aspinity. Their approach aims to reduce the power consumption of always-on sensing devices, like voice-activated assistants, by directly analyzing raw, analog sensor data. By processing data in its analog form before converting it to digital, Aspinity’s technology can drastically reduce power consumption, making it a game-changer for battery-operated devices.
The AML100 is the first product in Aspinity’s AnalogML™ (analog machine learning) family. The AML100 detects and classifies sensor-driven events from raw, analog sensor data, allowing developers to design significantly lower-power, always-on edge processing devices. Based on the unique Reconfigurable Analog Modular Processor (RAMP™) technology platform

IBM and Analog Computing ​

IBM has been a pioneer in neuromorphic computing with its TrueNorth chip. TrueNorth emulates the structure and scale of the brain’s neurons and synapses but uses significantly less power. It’s designed for various applications, including real-time processing in sensors and mobile devices.

BrainChip and Analog Computing ​

BrainChip is a company known for its work in neuromorphic computing. They have developed the Akida Neuromorphic System-on-Chip, designed to provide advanced neural networking capabilities. Akida is designed for edge and enterprise applications, including advanced driver assistance systems, drones, and IoT devices. The chip’s architecture allows for low-power and low-latency processing, making it suitable for real-time applications. BrainChip’s endeavors in neuromorphic computing showcase the potential of analog computing in modern applications. Their technology aims to bridge the gap between artificial neural networks and the human brain’s functionality.

HPE and Analog Computing ​

HPE has been exploring the realm of neuromorphic computing through their project called the “Dot Product Engine.” This project focuses on developing hardware that can accelerate deep-learning tasks.
The Dot Product Engine uses analog circuits to perform matrix multiplications, a fundamental operation in deep learning. This approach aims to reduce power consumption and increase the speed of deep learning computations.
HPE’s exploration into analog computing signifies its commitment to finding innovative solutions to modern computational challenges. Their research could pave the way for more efficient AI hardware in the future.

MemComputing and Analog Computing ​

MemComputing is a company that has developed a novel computing architecture inspired by the human brain’s neurons and synapses. Their technology is designed to solve complex optimization problems.
Their approach involves using memory elements for computation and storage, which can lead to significant speed-ups for specific computational tasks. This is particularly beneficial for industries that require real-time decision-making based on large datasets. MemComputing’s technology showcases the potential of neuromorphic architectures in addressing some of the most challenging problems in computing. Their solutions aim to provide a competitive edge to businesses across various sectors.

Applied Brain Research (ABR) and Analog Computing ​

Applied Brain Research (ABR) is a company that specializes in neuromorphic engineering and software. They have developed tools and software for building brain-like computing systems.
Their software, called Nengo, is a neural simulator for designing and testing large-scale brain models. It’s used in various applications, from robotics to AI. ABR’s work in neuromorphic computing is centered around creating efficient, brain-like systems that can process information in real time, making them suitable for a range of applications where traditional computing architectures might fall short.

Knowm and Analog Computing ​

Knowm is a company that focuses on developing memristor-based solutions for neuromorphic computing. Memristors are electronic components that can change resistance based on the amount and direction of voltage applied, making them suitable for brain-like computing.
Knowm’s technology aims to provide a platform for building adaptive learning systems that can evolve and learn over time. Their approach to neuromorphic computing is hardware-centric, focusing on creating components that can support brain-like computation at the chip level.

CogniMem and Analog Computing​

CogniMem specializes in pattern recognition and has developed technologies based on neuromorphic computing principles. Their products are designed to mimic the human brain’s ability to recognize patterns and learn from experience. This makes them suitable for applications like image and speech recognition. CogniMem’s vision is to create computing systems that can learn and adapt in real time, providing more natural and intuitive interactions between humans and machines.

Neurala​

Neurala is a company that develops deep-learning neural network software for drones, cameras, and other devices. Their Neurala Brain technology is designed to make devices like drones more autonomous and capable of learning and adapting in real time. Neurala’s approach to neuromorphic computing is to create software that can be integrated into various devices, making them smarter and more responsive to their environments.

Analog Computing and Quantum Computing?​

Analog computers operate based on continuous variables and physical phenomena. They represent data as varying physical quantities, such as electrical voltage or fluid pressure. For instance, in an electronic analog computer, the magnitude of an electrical voltage might represent a specific value. Calculations are performed by manipulating these continuous signals through components like operational amplifiers and integrators. In contrast, quantum computers operate on the principles of quantum mechanics. They utilize qubits, which can exist in a superposition of states, allowing them to represent both 0 and 1 simultaneously. Quantum operations involve entanglement and superposition, which Analog systems cannot achieve. One commonality, of course, is that the states are not digital, although they will be typically converted back to digital states to interpret—for example, the words in a document or images.

Modern analog computers, such as neuromorphic chips, are designed to mimic the brain’s neural structures, offering efficient solutions for tasks like pattern recognition and sensory processing3. Quantum computers, on the other hand, have the potential to revolutionize fields like cryptography, optimization, and drug discovery. They can solve problems currently intractable for classical computers, such as factoring large numbers or simulating complex quantum systems."
https://quantumzeitgeist.com/analog-computing-computing-revolution/

@Diogenese can you or someone else explain to me, amateur, why exactly Brainchip speaks of fully digital and in such a way that I understand it in my lack of knowledge? If this has already been clarified please excuse me and point me to the corresponding post.

 

[Xray1]

For those who know or believe megachips and BRN have been working together for the past 3 years or more to get the new Nintendo switch developed it is 100% confirmed it will be released in 2024.
Refer link —> https://screenrant.com/nintendo-direct-confirmed-switch-2-2024-realease-date/#:~:text=September's%20Nintendo%20Direct%20Basically%20Confirmed%20The%20Switch%202%20Is%20Out%20In%202024,-By%20Ben%20Brosofsky&text=The%20September%20Nintendo%20Direct%20was,be%20gleaned%20from%20the%20presentation.

My understanding is the nintendo switch 2 (or maybe called Nintendo NG) is not released in March / April 24 then it would be released in Sept / Oct 24. This is typically how they like to roll out a release new hardware.

I’m sure X-ray 1 (The shareman?) amd few others may have their doubts so join in and provide other links to other material that suggest otherwise that there is no evidence of a partnership between Megachips and BrainChip with the future Nintendo switch in 2024

Yeah, all will need to watch the financials (4C’s next year) but if BRN tech is in the upcoming new Nintendo switch then there should be some lumpy revenue kick in sometime in 2024.

Enjoy the ride.

Cheers
The Pope

Edit- maybe this is why a couple of people on this forum have adjusted their timelines for revenue to increase a lot more from Jan 25?
I’m sure any official news of the above would push the SP up a little.

This post is all purely "Unsubstantiated material " ......... where's the BRN Co ASX announcement.

 

[Xray1]

Thanks Can you please post this tomorrow in case some of us forget. What would we do without you @Xray1

Thank you Slade .... I will seriously consider your request and post as and when required

 

[Schnitzel lover]

For those who know or believe megachips and BRN have been working together for the past 3 years or more to get the new Nintendo switch developed it is 100% confirmed it will be released in 2024.
Refer link —> https://screenrant.com/nintendo-direct-confirmed-switch-2-2024-realease-date/#:~:text=September's%20Nintendo%20Direct%20Basically%20Confirmed%20The%20Switch%202%20Is%20Out%20In%202024,-By%20Ben%20Brosofsky&text=The%20September%20Nintendo%20Direct%20was,be%20gleaned%20from%20the%20presentation.

My understanding is the nintendo switch 2 (or maybe called Nintendo NG) is not released in March / April 24 then it would be released in Sept / Oct 24. This is typically how they like to roll out a release new hardware.

I’m sure X-ray 1 (The shareman?) amd few others may have their doubts so join in and provide other links to other material that suggest otherwise that there is no evidence of a partnership between Megachips and BrainChip with the future Nintendo switch in 2024

Yeah, all will need to watch the financials (4C’s next year) but if BRN tech is in the upcoming new Nintendo switch then there should be some lumpy revenue kick in sometime in 2024.

Enjoy the ride.

Cheers
The Pope

Edit- maybe this is why a couple of people on this forum have adjusted their timelines for revenue to increase a lot more from Jan 25?
I’m sure any official news of the above would push the SP up a little.

Sorry, is that 100% confirmed it will be released at the said date, or 100% confirmed it will be released at the said date with Akida IP integrated?

 

[Frangipani]

If you use this analogy of the wise men following the star that led to the birth site of Jesus the Messiah(saviour) it would be more accurate to liken Brainchip Akida as the birth of a revolution.( “The saviour” ) and the three wise men being Renasas, Megachips and another unknown wise man that will soon join them and find the saviour first to witness the majestic birth of Akida.

I am not saying Akida is a saviour or anything close to Christ my Lord, my saviour, my redeemer, but what I’m saying is, get the analogy right

Plus, the analogy wouldn’t work anyway, even if you were to think of Brainchip as one of the Wise Men (whose number is actually unspecified in the Bible). Why? Because while Fabrizio Cardinali compares those AI companies to runners in a race to “get to the star first”, we are in fact talking about two completely different stars here.

The only information the Gospel of Matthew provides about the region the Magi came from is the phrase ἀπὸ ἀνατολῶν, literally "from the rising [of the sun]", which is usually translated as "from the east".

Most theologians today agree that the Biblical Magi (provided we assume their historicity) were probably Zoroastrian priests and astronomers/astrologers (a mixture of both from our modern point of view) from either Persia or Mesopotamia, who most likely would have travelled along established trade routes. So they would have journeyed west to Damascus and then south to Jerusalem (to King Herod’s court) and on to Bethlehem, following the wondrous star they had seen rising back home (possibly a conjunction of Jupiter and Saturn or other celestial events a couple of years BC) and had interpreted as “a sign in the heavens” signifying the birth of a new Jewish king.

So it was not the North Star aka Pole Star that was their guiding light leading them to their destination (even though they would have used it for navigation). Rather than heading towards the “True North”, it must have been a “Journey to the West” (many Chinese Christians apparently even believe one of the Magi came from China) and then southwards, in the opposite direction from the North Pole. Which only confirms our belief that IBM and Brainchip’s destinations are not the same and that hence their itineraries are quite different…

Fun fact: While we don’t know for sure where the Magi came from, they somehow ended up near @cosors…
https://en.m.wikipedia.org/wiki/Shrine_of_the_Three_Kings

By then, Western Christian tradition had immortalised them as the Three Kings Caspar, Melchior and Balthasar/Balthazar that are so familiar to us today. They are depicted in innumerable nativity scenes and feature in carols, bring Christmas gifts to children in the Spanish-speaking parts of the world on January 6th, and then there is also the Catholic Sternsinger tradition in German-speaking countries: Children and teenagers dress up as The Three Kings, go from door to door singing carols and asking for donations benefiting children in need worldwide and - if desired - write a chalk blessing onto the door frame.

 

[The Pope]

Sorry, is that 100% confirmed it will be released at the said date, or 100% confirmed it will be released at the said date with Akida IP integrated?

Based on external advice anyone can google nintendo have advised the release of Nintendo switch 2 in 2024 (that is the date)

As for the rest, It can’t be announced even if BRN wanted to as i assume it would linked to Megachips T&C’s under NDA.
Megachips have a 4 years IP licence agreement with brainchip. Refer link —> https://announcements.asx.com.au/asxpdf/20211125/pdf/453dfzhh33r6xy.pdf

The opinions and research I share are my own and I am not licensed. External links are not recommended. To be safe, conduct your own research or seek advice from a licensed financial advisor

 

[The Pope]

This post is all purely "Unsubstantiated material " ......... where's the BRN Co ASX announcement.

It can’t be announced even if BRN wanted to as i assume it would linked to Megachips T&C’s under NDA.
Megachips have a 4 years IP licence agreement with brainchip. Refer link —> https://announcements.asx.com.au/asxpdf/20211125/pdf/453dfzhh33r6xy.pdf

The opinions and research I share are my own and I am not licensed. External links are not recommended. To be safe, conduct your own research or seek advice from a licensed financial advisor