Going by your last 100 posts there is a high probability that your next one will be negative.
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BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
A pretty recent video with Sailesh from Renesas talking about edge AI and pretty much what we've been hearing about the use case for Akida from renesas for a while, HVAC.
https://www.renesas.com/us/en/video/generative-ai-happening-edge-and-endpoint
https://www.renesas.com/us/en/video/generative-ai-happening-edge-and-endpoint
Thank for sharing @Stockbob
I think preventative maintenance is going to be a big revenue earner for BrainChip, and we have Renesas to help us with it.
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.
Damo4
Regular
It's funny, Shareman eventually resorted to posting copy/paste replies, loosely concealed as a legitimate reply.
Thanks
Can you please post this tomorrow in case some of us forget. What would we do without you @Xray1 
Damo4
Regular
@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.
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
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...
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The Pope
Regular
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.
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.
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cassip
Regular
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)
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)
cosors
👀
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
Regular
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
Regular
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
Founding Member
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
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
Norse clairvoyant shapeshifter goddess
Xray no offence but you mention Strike so many times I beginning to believe your a professional ten pin bowler
rgupta
Regular
I am sorry but there is no lump in the revenue. So please don't over state.
Some posters here need to be continually reminded of certain facts .. hint, hint !!
cosors
👀
"7 Analog Computing Companies Powering Next-Generation Applications
October 16, 2023by 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 SchrödingerThough 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.
This post is all purely "Unsubstantiated material " ......... where's the BRN Co ASX announcement.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.
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