BRN Discussion Ongoing

Esq.111

Fascinatingly Intuitive.
Hey Esq, where's the stats for today? Or are you busy tucking into that vanilla infused brew of yours? 😛


How big was the wall at 45 when it fell, still around 2.5 million shares?..
Afternoon DingoBorat ,

At the close of trade , I snuk off into the garden for an 🍺 & stretch the eyes.

From what I saw at the time , Yep that line at 0.45 was wiped , actually think there was a little CXA trade which popped it to 0.4525

Good day all round .

Regards,
Esq.
 
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gazar

Member
Hey Esq, where's the stats for today? Or are you busy tucking into that vanilla infused brew of yours? 😛


How big was the wall at 45 when it fell, still around 2.5 million shares?..
The wall was 2.5 million shares. When it fell it was 4 million and sold in about 1 minute. From 54 million shares to 58 million. A further 2 million sold at 24.5,24 and 23.5 c .
 
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MDhere

Top 20
Afternoon DingoBorat ,

At the close of trade , I snuk off into the garden for an 🍺 & stretch the eyes.

From what I saw at the time , Yep that line at 0.45 was wiped , actually think there was a little CXA trade which popped it to 0.4525

Good day all round .

Regards,
Esq.
Here it is DB @DingoBorat
it got eaten at 3.51.21 volume 1,858,514 eaten up at .45c then 20 seconds later came that cxa trade for 10k vol at .4525. So that savy hungry buy nearly 2mil worth at .45c was impressive. someone with real money is buying up the shares.

Sum of VolumeColumn Labels
Row Labels
0.4475​
0.45​
0.4525​
Grand Total
3:51:21 PM
9159​
1849355​
1858514​
3:51:41 PM
20000​
20000​
Grand Total
9159​
1849355​
20000​
1878514​
 
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Hey Esq, where's the stats for today? Or are you busy tucking into that vanilla infused brew of yours? 😛


How big was the wall at 45 when it fell, still around 2.5 million shares?..
Three trades covered the 2.9 million shares on offer
1735805752381.png

COMMSEC COURSE OF SALE DL

Soaked up a few more before pulling back.
I'm no expert but it the Bid is sitting there at 45c and they are gone in these three trades it indicates buying up not selling down
Huge volume for the day.

CES next week. What will it bring or reveal.
Other companies might demo something new revealing who may have been in an DNA whilst in development.
ie Smart Airbags previously.
 
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Boab

I wish I could paint like Vincent
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buena suerte :-)

BOB Bank of Brainchip
You look beautiful… 🤩
 
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Esq.111

Fascinatingly Intuitive.
Looking good 👍

Germany 🇩🇪,

 
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This is a recent clip, which is a good amalgamation of various interviews with Musk, from the past year..
Visuals are all, already in the public domain, but it's an enjoyable watch.



From 1min 15secs (under safety concerns) Musk describes the need for some kind of safety switch, that is completely independant of the internet/Cloud.

Obviously, straight away, I thought of AKIDA, as it would need (in my opinion) to be an "intelligent" adaptive switch, that was monitoring the robotic systems, for anomalies.

There would probably be many varied solutions though, but something that could learn and adapt, without Cloud updates?..

A bit like how Sonny, in iRobot was built with 2 independent operating systems (brains) so it was able to reason against the nefarious orders of V.I.K.I.(basically Terminator's Skynet, for those unfamiliar with iRobot).

There's a scene where Sonny is running and V.I.K.I. is trying to control "him" and he basically says "Yeah I hear you, but it just doesn't make sense to me".

This is Sonny, lying about "murdering" his Creator.



This is all extremely close, to no longer being science fiction..

Absolute Classic film by the way..
 
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Boab

I wish I could paint like Vincent
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This is a recent clip, which is a good amalgamation of various interviews with Musk, from the past year..
Visuals are all, already in the public domain, but it's an enjoyable watch.



From 1min 15secs (under safety concerns) Musk describes the need for some kind of safety switch, that is completely independant of the internet/Cloud.

Obviously, straight away, I thought of AKIDA, as it would need (in my opinion) to be an "intelligent" adaptive switch, that was monitoring the robotic systems, for anomalies.

There would probably be many varied solutions though, but something that could learn and adapt, without Cloud updates?..

A bit like how Sonny, in iRobot was built with 2 independent operating systems (brains) so it was able to reason against the nefarious orders of V.I.K.I.(basically Terminator's Skynet, for those unfamiliar with iRobot).

There's a scene where Sonny is running and V.I.K.I. is trying to control "him" and he basically says "Yeah I hear you, but it just doesn't make sense to me".

This is Sonny, lying about "murdering" his Creator.



This is all extremely close, to no longer being science fiction..

Absolute Classic film by the way..

At the 4min mark he talks about local LLM running on a raspberry pie.
 
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manny100

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Gidday All,

This current pattern of trading doesn't seem in my view to be a "normal" pump and dump, it's too sustained, I have been watching
every single line over the last 2 weeks, and there appears to big some very big plays taking place, as most of you would have already
noticed, that current wall of around 2 million at 0.45 will be taken out, if this pattern continues.

Two things come to mind, either the market is "expecting" some very solid news just prior to or during the upcoming CES 2025 event,
or the company is waiting for one of our EAP's to present their hand for shaking (after the papers have been signed).

If no new news presents itself after CES 2025, my gut is telling me, a little slide back to 0.25-0.30 could well be on the cards, hopefully
not, but a little correction based on "buy on the rumour...sell on the fact" could emerge...keep an open mind...just saying.
The move is still only a 'baby' at 6 days of age with a red day thrown in. Momentum is slowing but still bullish.
It appears to be driven by expectation of deals.
 
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manny100

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For those not aware how shorting works:
Shorter believes the stock is overbought/overvalued.
Shorter then borrows the stock at a cost to the shorter.
The shorter then sells the stock on the ASX - just like we buy and sell - no different.
The shorter hopes the share price will fall. If it falls the shorter buys the stock at a lower price, hands them back to the lender and takes a profit.
If the share price goes up the shorter buys back the stock at a lower price than he/she sold it for, hands them to the lender and takes a loss.
If enough shorters enter the market in a similar time frame it puts a fair bit of downward pressure on the share price and likely falls. That is what is meant by posters when they say shorters are manipulating the price.
Conversely, if the price goes against the shorters and they exit in a similar time frame the SP likely goes up. This is what some posters call a short squeeze.
So far shorters are being overwhelmed by the rush of buyers.
 
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manny100

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Just an observation but this breakout is only a 'baby' at 6 days of age with a red day thrown in.
In contrast the breakout to 32.5 cents in Sept/Oct'24 lasted 12 days with 3 read days thrown in - and that was before the USAF and Frontgrade were known about.
 
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MDhere

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Gamestop $8.81usd 15 jan 2021 - 29 Jan 2021 $81 usd (now that's one hell of a short squeeze)
Just saying lol
 
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Dear lord! You are one ugly sob Pom!
Do us a favour and never post a selfie again. Please.
Glad I’m thick skinned 😂
 
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DK6161

Regular
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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 😉
 
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Thoughts if you get the chance @Diogenese

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​

By
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
 
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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.👍
 
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Tothemoon24

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BrainChip Holdings (ASX: BRN): Driving the Future of Neuromorphic Computing Amid Global AI Boom​

Staff Writer

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​

cityscape-1
The artificial intelligence industry has entered an inflection point, driven by the explosive growth of machine learning applications and an insatiable demand for edge computing. Market estimates project the global AI market to grow at a compound annual growth rate (CAGR) of 37.3% between 2023 and 2030, reaching $1.9 trillion. Similarly, the edge AI market is expected to surpass $10 billion by 2027, reflecting its critical role in enabling real-time decision-making without reliance on cloud connectivity.
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​

2M87JtMmFcu4qGCpoVcCrb-1200-80.jpg
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.
 
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