BRN Discussion Ongoing
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Pom down under
Top 20
Glad I’m thick skinned
Same reason why I don't post selfies myself.Glad I’m thick skinned
I am doing everyone here a favour
RobjHunt
Regular
In my opinion it has becom quite apparent that mobs out there are taking notice with what’s happened with our little nipper over the past few weeks. A couple of “contracts” so to speak. I wonder how long they were under an NDA?
How many more of the NDA mobs have tested enough to reveal themselves directly?
Pantene Peeps
How many more of the NDA mobs have tested enough to reveal themselves directly?
Pantene Peeps
Fullmoonfever
Top 20
Thoughts if you get the chance @Diogenese
TIA.
All sounds somewhat familiar from Carnegie.
www.google.com.au
Aswin Ak
-
December 29, 2024
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI applications, mainly because they are energy-efficient and bio-inspired. However, available methodologies lack automation and are not very accessible. Consequently, the design process becomes complex, time-consuming, and requires specialized knowledge. It is through overcoming these challenges that one can unlock the full potential of TNNs for efficient and scalable processing of sensory signals.
The current approaches to TNN development are fragmented workflows, as software simulations and hardware designs are handled separately. Advancements such as ASAP7 and TNN7 libraries made some aspects of hardware efficient but remain proprietary tools that require significant expertise. The fragmentation of the process restricts usability, prevents the easier exploration of design configurations with increased computational overhead, and can’t be used for more application-specific rapid prototyping or large-scale deployment purposes.
Researchers at Carnegie Mellon University introduce TNNGen, a unified and automated framework for designing TNN-based NSPUs. The innovation lies in the integration of software-based functional simulation with hardware generation in a single streamlined workflow. It combines a PyTorch-based simulator, modeling spike-timing dynamics and evaluating application-specific metrics, with a hardware generator that automates RTL generation and layout design using PyVerilog. Through the utilization of TNN7 custom macros and the integration of a variety of libraries, this framework realizes considerable enhancements in simulation velocity as well as physical design. Additionally, its predictive abilities facilitate precise forecasting of silicon metrics, thereby diminishing the dependency on computationally demanding EDA tools.
TNNGen is organized around two principal elements. The functional simulator, constructed using PyTorch, accommodates adaptable TNN configurations, allowing for swift examination of various model architectures. It has GPU acceleration and accurate spike-timing modeling, thus ensuring high simulation speed and accuracy. The hardware generator converts PyTorch models into optimized RTL and physical layouts. Using libraries such as TNN7 and customized TCL scripts, it automates synthesis and place-and-route processes while being compatible with multiple technology nodes like FreePDK45 and ASAP7.
TNNGen achieves excellent performance in both clustering accuracy and hardware efficiency. The TNN designs for time-series clustering tasks show competitive performance with the best deep-learning techniques while drastically reducing the utilization of computational resources. The approach brings major energy efficiency improvements, obtaining a reduction in die area and leakage power compared to conventional approaches. In addition, the runtime of the design is dramatically reduced, especially for larger designs, which benefit most from the optimized workflows. Moreover, the comprehensive forecasting instrument provides accurate estimations of hardware parameters, allowing researchers to evaluate design viability without the necessity of engaging in physical hardware procedures. Taken together, these findings position TNNGen as a viable approach for streamlining and expediting the creation of energy-efficient neuromorphic systems.
TNNGen is the next step in the fully automated development of TNN-based NSPUs by unifying simulation and hardware generation into an accessible, efficient framework. The approach addressed key challenges in the manual design process and made this tool much more scalable and usable for edge AI applications. Future work would involve extending its capabilities toward support for more complex TNN architectures and a much wider range of applications to become a critical enabler of sustainable neuromorphic computing.
Check out the Paper. All credit for this research goes to the researchers of this project
TIA.
All sounds somewhat familiar from Carnegie.
CMU Researchers Introduce TNNGen: An AI Framework that Automates Design of Temporal Neural Networks (TNNs) from PyTorch Software Models to Post-Layout Netlists
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI applications, mainly...
www.google.com.au
CMU Researchers Introduce TNNGen: An AI Framework that Automates Design of Temporal Neural Networks (TNNs) from PyTorch Software Models to Post-Layout Netlists
ByAswin Ak
-
December 29, 2024
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. TNNs have been identified as highly promising for real-time edge AI applications, mainly because they are energy-efficient and bio-inspired. However, available methodologies lack automation and are not very accessible. Consequently, the design process becomes complex, time-consuming, and requires specialized knowledge. It is through overcoming these challenges that one can unlock the full potential of TNNs for efficient and scalable processing of sensory signals.
The current approaches to TNN development are fragmented workflows, as software simulations and hardware designs are handled separately. Advancements such as ASAP7 and TNN7 libraries made some aspects of hardware efficient but remain proprietary tools that require significant expertise. The fragmentation of the process restricts usability, prevents the easier exploration of design configurations with increased computational overhead, and can’t be used for more application-specific rapid prototyping or large-scale deployment purposes.
Researchers at Carnegie Mellon University introduce TNNGen, a unified and automated framework for designing TNN-based NSPUs. The innovation lies in the integration of software-based functional simulation with hardware generation in a single streamlined workflow. It combines a PyTorch-based simulator, modeling spike-timing dynamics and evaluating application-specific metrics, with a hardware generator that automates RTL generation and layout design using PyVerilog. Through the utilization of TNN7 custom macros and the integration of a variety of libraries, this framework realizes considerable enhancements in simulation velocity as well as physical design. Additionally, its predictive abilities facilitate precise forecasting of silicon metrics, thereby diminishing the dependency on computationally demanding EDA tools.
TNNGen is organized around two principal elements. The functional simulator, constructed using PyTorch, accommodates adaptable TNN configurations, allowing for swift examination of various model architectures. It has GPU acceleration and accurate spike-timing modeling, thus ensuring high simulation speed and accuracy. The hardware generator converts PyTorch models into optimized RTL and physical layouts. Using libraries such as TNN7 and customized TCL scripts, it automates synthesis and place-and-route processes while being compatible with multiple technology nodes like FreePDK45 and ASAP7.
TNNGen achieves excellent performance in both clustering accuracy and hardware efficiency. The TNN designs for time-series clustering tasks show competitive performance with the best deep-learning techniques while drastically reducing the utilization of computational resources. The approach brings major energy efficiency improvements, obtaining a reduction in die area and leakage power compared to conventional approaches. In addition, the runtime of the design is dramatically reduced, especially for larger designs, which benefit most from the optimized workflows. Moreover, the comprehensive forecasting instrument provides accurate estimations of hardware parameters, allowing researchers to evaluate design viability without the necessity of engaging in physical hardware procedures. Taken together, these findings position TNNGen as a viable approach for streamlining and expediting the creation of energy-efficient neuromorphic systems.
TNNGen is the next step in the fully automated development of TNN-based NSPUs by unifying simulation and hardware generation into an accessible, efficient framework. The approach addressed key challenges in the manual design process and made this tool much more scalable and usable for edge AI applications. Future work would involve extending its capabilities toward support for more complex TNN architectures and a much wider range of applications to become a critical enabler of sustainable neuromorphic computing.
Check out the Paper. All credit for this research goes to the researchers of this project
DingoBorat
Slim
Supply and Demand.
Supply and Demand.
Supply and Demand.
Demand is currently very, very strong and going by today's volume, which was the most in 10 months and the highest in this run, it doesn't look like slowing on a Friday, which is "traditionally" a strong day.
Again
.. Friday's action is going to be interesting..
From the strength of buying, the Big Buyer/s? Is/are, quite happy taking large chunks, up to at least 45 cents.
If the volume at these levels, is no longer offered, the price could go higher again, as there is an apparent urgency, to build a substantial position.
There's been around 10% of the number of shares on issue traded now, in the high 30's to 40's range, that's a good soak.
This will soon become a bit of a new trading range, if Dave is again unable to knock this stiff rise on the head, with a cold spoon.
And he really has no choice but to try, so additional borrowed shares, will have again been taken out today.
Personally, even without further contracts or licences, I think we "should" have been trading in the 50 to 60 cent price range, just on everything, the Company has put in place, over the last couple of years.
Normally, technology Companies trade at very large valuations, even pre-profit, due to their growth potential (if they have the goods, which BrainChip has proven, but this is not "usually" appreciated on a resource focused exchange, like the ASX. BrainChip is changing that however).
This is very different, from the Mercedes run, as we are in a far stronger position, both Technology offering wise and Ecosystem wise.
I don't think we can get to those heights "now" (which would equate to around $1.50 after dilution since) but we can build a solid base for launch, on additional IP licence wins.
Or this could all just be taking the BRN thoroughbred horse, out for a good run, burning some poor Daves along the way and making a stack of cash.
It doesn't look like that, seems too strong, but there are obviously Entities and Individuals, with the financial backing, to play that game, if they wish.
Disregarding that possibility..
Supply and Demand, is the only thing that matters right now and what we are seeing, is just a taste, of what's to come.
(with additional solid progress).
Good Fortune to all Holders.
Supply and Demand.
Supply and Demand.
Demand is currently very, very strong and going by today's volume, which was the most in 10 months and the highest in this run, it doesn't look like slowing on a Friday, which is "traditionally" a strong day.
Again
.. Friday's action is going to be interesting..From the strength of buying, the Big Buyer/s? Is/are, quite happy taking large chunks, up to at least 45 cents.
If the volume at these levels, is no longer offered, the price could go higher again, as there is an apparent urgency, to build a substantial position.
There's been around 10% of the number of shares on issue traded now, in the high 30's to 40's range, that's a good soak.
This will soon become a bit of a new trading range, if Dave is again unable to knock this stiff rise on the head, with a cold spoon.
And he really has no choice but to try, so additional borrowed shares, will have again been taken out today.
Personally, even without further contracts or licences, I think we "should" have been trading in the 50 to 60 cent price range, just on everything, the Company has put in place, over the last couple of years.
Normally, technology Companies trade at very large valuations, even pre-profit, due to their growth potential (if they have the goods, which BrainChip has proven, but this is not "usually" appreciated on a resource focused exchange, like the ASX. BrainChip is changing that however).
This is very different, from the Mercedes run, as we are in a far stronger position, both Technology offering wise and Ecosystem wise.
I don't think we can get to those heights "now" (which would equate to around $1.50 after dilution since) but we can build a solid base for launch, on additional IP licence wins.
Or this could all just be taking the BRN thoroughbred horse, out for a good run, burning some poor Daves along the way and making a stack of cash.
It doesn't look like that, seems too strong, but there are obviously Entities and Individuals, with the financial backing, to play that game, if they wish.
Disregarding that possibility..
Supply and Demand, is the only thing that matters right now and what we are seeing, is just a taste, of what's to come.
(with additional solid progress).
Good Fortune to all Holders.
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Tothemoon24
Top 20
BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic Computing Amid Global AI Boom
blog-techinvest-online.cdn.ampproject.org
BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic Computing Amid Global AI Boom
BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic Computing Amid Global AI Boom
January, 2025
featured
The past year has been transformative for BrainChip Holdings (ASX: BRN), the global leader in neuromorphic computing. Through cutting-edge technological advancements, strategic partnerships, and a strong financial foundation, the company is carving a niche in the growing field of edge AI. As artificial intelligence increasingly reshapes industries, BrainChip's innovative solutions are poised to capture a significant share of this evolving market.
A Macro Perspective on Artificial Intelligence
Neuromorphic computing, BrainChip’s area of expertise, is emerging as a crucial subset of AI. With its focus on mimicking the human brain to achieve efficient, low-power computation, the field is gaining traction in sectors such as autonomous vehicles, industrial IoT, and consumer electronics. BrainChip is uniquely positioned to meet this demand with its Akida™ platform, which offers unparalleled energy efficiency and on-chip learning capabilities.
Major Technological Milestones
Advancing the Akida Platform
BrainChip’s neuromorphic processor, Akida™, underwent significant evolution in 2024. The rollout of Akida 2.0 expanded its feature set to include enhanced capabilities for processing temporal data using BrainChip’s proprietary Temporal Event Neural Network (TENNs) algorithm. This breakthrough positions Akida as a frontrunner in enabling low-latency AI for edge devices, a key requirement in industries such as automotive, healthcare, and robotics.
Space-Grade Applications
The company achieved a landmark collaboration with Frontgrade Gaisler, a leader in space-grade microprocessors. Through this licensing agreement, Akida 1.0 technology will be integrated into radiation-hardened system-on-chip (SoC) solutions for space applications. Supported by the European Space Agency (ESA), the initiative underscores the relevance of neuromorphic AI in extreme environments where power efficiency, reliability, and autonomy are paramount.U.S. Defence Sector Breakthrough
BrainChip’s US$1.8 million contract with the Air Force Research Laboratory (AFRL) highlighted its expanding footprint in defence applications. The project focuses on radar signal processing, leveraging Akida 2.0 to enable ultra-low-power, high-performance solutions for military platforms. This aligns with broader efforts to modernize defence systems and demonstrates BrainChip’s capacity to address critical mission requirements.Strengthening Financial Position
BrainChip’s $25 million capital raise in July 2024 marked a pivotal step in funding its growth initiatives. The proceeds were strategically allocated to accelerate the commercialisation of Akida 2.0, expand the TENNs algorithm portfolio, and invest in next-generation AI applications. This financial infusion also enabled the development of cloud-based systems to facilitate customer evaluation of Akida technology.Expanding Market Reach
Diverse Applications Across Industries
BrainChip’s technology is finding applications in a broad spectrum of sectors:- Automotive: The Akida platform is gaining attention for its role in enabling autonomous vehicles, with on-chip learning that supports adaptive, real-time decision-making.
- Healthcare: Neuromorphic computing’s ability to process data efficiently is opening doors to medical diagnostics and wearable technologies.
- Industrial IoT: From predictive maintenance to smart manufacturing, BrainChip’s solutions are enhancing operational efficiency.
- Consumer Electronics: As IoT adoption grows, Akida’s low-latency and power-efficient AI capabilities are becoming indispensable for smart devices.
Leadership and Organisational Growth
2024 was a year of leadership renewal at BrainChip. The appointment of Steven Brightfield as Chief Marketing Officer brought seasoned expertise from leading semiconductor and AI firms. Meanwhile, co-founder Anil Mankar announced his retirement, marking the end of a foundational era. These changes are expected to strengthen BrainChip’s strategic direction as it scales its operations globally.Navigating Challenges in a Competitive Landscape
While BrainChip has made significant strides, it operates in a highly competitive and rapidly evolving industry. The challenges of customer adoption, technological integration, and protecting intellectual property remain key considerations. However, its robust financial position and track record of delivering innovative solutions provide a strong foundation to navigate these complexities.The Road Ahead: Seizing Opportunities in a Growing Market
Looking forward, BrainChip’s focus will be on converting its technological advancements into commercial successes. The global push for AI integration across industries provides a fertile ground for its edge-AI solutions. With its ongoing collaborations in space and defence, and expanding applications in automotive and IoT, BrainChip is well-positioned to leverage the rising demand for efficient, low-power AI.BrainChip Holdings has had a banner year, marked by technological breakthroughs, strategic partnerships, and financial resilience. In an era where AI adoption is redefining the boundaries of innovation, BrainChip’s Akida platform stands out as a critical enabler of edge intelligence. As the company continues to expand its market footprint, its neuromorphic computing solutions are set to play a transformative role in shaping the future of AI-driven industries.
Last edited:
MDhere
Top 20
Almost finished my night shift so will likely miss the asx share price shannigans on opening but saw BRCHF reach .28 so far. Does anyone know how the BRCHF gets topped up and if they need to top it up soon? , I thought it was bought off the asx and then moved into BRCHF but I can't remember ?Supply and Demand.
Supply and Demand.
Supply and Demand.
Demand is currently very, very strong and going by today's volume, which was the most in 10 months and the highest in this run, it doesn't look like slowing on a Friday, which is "traditionally" a strong day.
Again
From the strength of buying, the Big Buyer/s? Is/are, quite happy taking large chunks, up to at least 45 cents.
If the volume at these levels, is no longer offered, the price could go higher again, as there is an apparent urgency, to build a substantial position.
There's been around 10% of the number of shares on issue traded now, in the high 30's to 40's range, that's a good soak.
This will soon become a bit of a new trading range, if Dave is again unable to knock this stiff rise on the head, with a cold spoon.
And he really has no choice but to try, so additional borrowed shares, will have again been taken out today.
Personally, even without further contracts or licences, I think we "should" have been trading in the 50 to 60 cent price range, just on everything, the Company has put in place, over the last couple of years.
Normally, technology Companies trade at very large valuations, even pre-profit, due to their growth potential (if they have the goods, which BrainChip has proven, but this is not "usually" appreciated on a resource focused exchange, like the ASX. BrainChip is changing that however).
This is very different, from the Mercedes run, as we are in a far stronger position, both Technology offering wise and Ecosystem wise.
I don't think we can get to those heights "now" (which would equate to around $1.50 after dilution since) but we can build a solid base for launch, on additional IP licence wins.
Or this could all just be taking the BRN thoroughbred horse, out for a good run, burning some poor Daves along the way and making a stack of cash.
It doesn't look like that, seems too strong, but there are obviously Entities and Individuals, with the financial backing, to play that game, if they wish.
Disregarding that possibility..
Supply and Demand, is the only thing that matters right now and what we are seeing, is just a taste, of what's to come.
(with additional solid progress).
Good Fortune to all Holders.
I agree today (Friday) will be interesting as will this coming month. Stockscan has BRCHF next 30day forecast at .67 usd with a 12month of between average 87c usd and high of $1.26 usd. So with the momentum occurring the 30days forecast target of .67usd could well be achievable +.
Of course they place a disclaimer as we all do -
Disclaimer: The information on this page is not intended to be financial advice. It is for general information only and should not be used to make any investment decisions. Please consult with a professional financial advisor before making any investment decisions.
Last edited:
Satchmo25
Member
Press Release | Synaptics and Google Collaborate on Edge AI for the IoT | Synaptics
SAN JOSE, CA, January 2, 2025 -- Synaptics Incorporated (Nasdaq: SYNA), today announced that it is collaborating with Google on Edge AI for the IoT to define the optimal implementation of multimodal processing for context-aware computing. The collaboration will integrate Google’s MLIR-compliant...
supersonic001
Regular
David Tasker on LinkedIn: BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic…
The past year has been transformative for BrainChip (ASX: BRN), the global leader in neuromorphic computing. Through cutting-edge technological advancements…
FiveBucks
Regular
Synaptics can have Google. We'll take Apple.Press Release | Synaptics and Google Collaborate on Edge AI for the IoT | Synaptics
SAN JOSE, CA, January 2, 2025 -- Synaptics Incorporated (Nasdaq: SYNA), today announced that it is collaborating with Google on Edge AI for the IoT to define the optimal implementation of multimodal processing for context-aware computing. The collaboration will integrate Google’s MLIR-compliant...www.synaptics.com
FiveBucks
Regular
https://www.ign.com/articles/ninten...s-new-patent-suggests-ai-image-upscaling-tech
"Let’s start with the patent, filed July 2023 but published for the first time just this week. As noted by Eurogamer, the patent describes AI image upscaling technology that would help keep video game download sizes small enough to fit on a physical game cartridge while offering up to 4K textures".
Does anyone know where we can view the patent to see if akida is involved?
EDIT: Found it but I'm too simple to understand it. They do mention neural networks. It seems to be NVIDIAs chip though.
"Let’s start with the patent, filed July 2023 but published for the first time just this week. As noted by Eurogamer, the patent describes AI image upscaling technology that would help keep video game download sizes small enough to fit on a physical game cartridge while offering up to 4K textures".
Does anyone know where we can view the patent to see if akida is involved?
EDIT: Found it but I'm too simple to understand it. They do mention neural networks. It seems to be NVIDIAs chip though.
Last edited:
Good morning All,
Take a look at that sell order at the back of the pack at 0.46 for 2,635,700.....give it up, that is just yet another target that will definitely be swallowed up.
If you really want to stop this brilliant technology stock from going up (in the short term) well then, put up a real wall of around 50 million to 100 million shares for sale and stop pussy-footing around....currently the trend is "our friend"...over the next 18 months (6 quarters) I'm quietly expecting $2+ to be reflecting true value.
In the meantime.............Tech.
Take a look at that sell order at the back of the pack at 0.46 for 2,635,700.....give it up, that is just yet another target that will definitely be swallowed up.
If you really want to stop this brilliant technology stock from going up (in the short term) well then, put up a real wall of around 50 million to 100 million shares for sale and stop pussy-footing around....currently the trend is "our friend"...over the next 18 months (6 quarters) I'm quietly expecting $2+ to be reflecting true value.
In the meantime.............Tech.
Arm on LinkedIn: Arm Tech Predictions for 2025 and Beyond
At Arm, we’re always looking to the future. 🚀 Our predictions for this year highlight a range of technology trends that will define the tech landscape for…
Attachments
Last edited:
stockduck
Regular
PieX AI: Launching the World's First Personalized, On-device AI Pendant at CES 2025
/PRNewswire/ -- PieX AI, a global leader in multimodal AI hardware for smart health, is set to proudly launch the world's first pendant featuring personalized,...
"....
- AI Tech: Leveraging the exceptional sensing capabilities of the pendant, our device will provide a personalized AI that understands the user best. It can automatically offer options for meditation and breathing exercises based on the user's emotional changes and preferences, enabling users to take a more proactive approach to their mental health. Additionally, all emotional sensing and data processing analysis occur solely on the user's personal device, with no need for cloud uploads. Even large language models run locally, ensuring that sensitive information never leaves the user's devices.
eYs3D Microelectronics Unveils Multi-Sensor Controller IC eSP936, YX9170 Spatial Perception Solution, and YX9670 Navigation Solution for Unmanned Vehicles
/PRNewswire/ -- With the rapid rise of AI image sensing and edge computing technologies, the market for robots and intelligent unmanned vehicles is...
".....
eYs3D Microelectronics will debut its XINK-ll Edge Spatial Computing Platform at CES 2025. This innovative "Platform as a Service (PaaS)" development solution is equipped with the eYs3D AI chip eCV5546, featuring ARM Cortex-A and Cortex-M CPU cores, along with an NPU (Neural Processing Unit). The platform supports the integration of AHRS, thermal imaging, and millimeter-wave radar sensors while incorporating AI convolutional neural network (CNN) technology to significantly enhance object recognition and detection capabilities for edge AI devices. Notably, ARM IoT Capital has provided not only funding but also exceptional performance enhancements for the XINK-ll platform. ARM CPUs with Neon instruction set support SIMD processing capabilities, accelerating vector and matrix operations for better computer vision and signal processing performance. Additionally, the low-power ARM Cortex-M4 processor serves as an MCU for system control, motor operation, and timeline synchronization.
......"
Bravo
If ARM was an arm, BRN would be its biceps💪!
Published 2 January 2025
Extract
Extract
Food4 thought
Regular
Just wondering
How does the open price to buy shares go from 48 cents to 60 cents with out any other orders in between???
Asking for a friend!!!! lol
How does the open price to buy shares go from 48 cents to 60 cents with out any other orders in between???
Asking for a friend!!!! lol
Shadow59
Regular
That order will be filled first at the lowest available price. Or something like that. It just means they really want the shares before they jump in priceJust wondering
How does the open price to buy shares go from 48 cents to 60 cents with out any other orders in between???
Asking for a friend!!!! lol
TheDrooben
Pretty Pretty Pretty Pretty Good
The order at 60c will be first to trade at the match price which currently sits at 44.5c. Same for the sell orders below 44.5.............I thinkJust wondering
How does the open price to buy shares go from 48 cents to 60 cents with out any other orders in between???
Asking for a friend!!!! lol
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