BRN Discussion Ongoing

7für7

Top 20
I’m probably completely wrong, but I wonder if that 6 million in at 0.21 is LDA and it’s going to used by them to close some short positions out 😂


Source please 😤
 
Source please 😤
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Bravo

If ARM was an arm, BRN would be its biceps💪!
On a slightly more serious note, take a look at these recent articles on TSMC’s concept AR glasses. Then ask yourself: is it really just a coincidence that we’ve now confirmed a collaboration with Yu-Hsin Layout Technology - a company that happens to count TSMC as one of its major clients?

One of the standout features of these AR glasses is an ultra-low-power processor, which, of course, just happens to be right in Akida/Pico’s wheelhouse.

Now, while these articles only discuss TSMC’s concept glasses for now, if they ever move to production, it would effectively place us toe-to-toe with Qualcomm in the smart glasses arena (assuming they incorporate our technology).

And let’s be honest - if battery life becomes the battleground, we’re not exactly walking in unarmed.


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Thebask27

Emerged
Brainchip jumped over 30k followers in Linkedin. The number is increasing faster and faster. Looks like we are getting better known what is a positive sign in my opinion.
 
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Brainchip jumped over 30k followers in Linkedin. The number is increasing faster and faster. Looks like we are getting better known what is a positive sign in my opinion.
Must be all the non believers from the crapper now becoming believers

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manny100

Top 20
The below quotes are from a scientific study titled:

"The Clinical Relevance of Artificial Intelligence in Migraine"​

" The arrival of AI in the scientific world entailed nearly infinite clinical applications, both for patients and clinicians. In the first place, it would be possible to establish a correct diagnosis of migraine and to exclude, with a certain degree of certainty, other causes of headaches through an AI-based interactive questionnaire. In such a way, GPs or non-headache specialists would be supported in their work, while the patients would receive an early diagnosis and treatment, avoiding pain and exposure to unnecessary medications."
" The diffusion of wearable smart devices could be one of the main means through which AI could serve patients directly. It is indeed possible to imagine that there will be devices able to analyse internal and external factors and warn patients about an imminent migraine attack. Furthermore, if such AI-based technology could reliably detect the prodromal phase of the migraine cycle (i.e., up to 48 h before the pain starts [65]), the patient could carry out some behavioural approach (e.g., regulate sleep) to disrupt the attack." My bold above.
 
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Brainchip jumped over 30k followers in Linkedin. The number is increasing faster and faster. Looks like we are getting better known what is a positive sign in my opinion.
That stood out to me too @Thebask27 and @White Horse 👍

An excerpt from some book about tipping points..

"The tipping point is that magic moment when an idea, trend, or social behavior crosses a threshold, tips, and spreads like wildfire. Just as a single sick person can start an epidemic of the flu....."

So the spread of the feverish "BrainChip Flu" will now begin to accelerate and no MFA vaccines (Motley Fool Articles) will be able to stop it.


"Nothing is more powerful than an idea whose Time has come"
Attributed to Victor Hugo
 
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Cardpro

Regular
On a slightly more serious note, take a look at these recent articles on TSMC’s concept AR glasses. Then ask yourself: is it really just a coincidence that we’ve now confirmed a collaboration with Yu-Hsin Layout Technology - a company that happens to count TSMC as one of its major clients?

One of the standout features of these AR glasses is an ultra-low-power processor, which, of course, just happens to be right in Akida/Pico’s wheelhouse.

Now, while these articles only discuss TSMC’s concept glasses for now, if they ever move to production, it would effectively place us toe-to-toe with Qualcomm in the smart glasses arena (assuming they incorporate our technology).

And let’s be honest - if battery life becomes the battleground, we’re not exactly walking in unarmed.


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Does this mean, if we are not in it, we are prob doomed caz all our advantages can be done without us?
 
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FiveBucks

Regular
Brainchip jumped over 30k followers in Linkedin. The number is increasing faster and faster. Looks like we are getting better known what is a positive sign in my opinion.
LinkedIn in followers 🆙

Share price ⬇️

Woohoo 🙌 🙌
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
 
Is anyone expecting some dramatic increase end of June financials including a great story from our new PR team to support this dramatic increase in revenue or am i dreaming and are we all waiting untill the 4 c.
 

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TheDrooben

Pretty Pretty Pretty Pretty Good
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Happy as Larry
 
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7für7

Top 20
IMG_4570.jpeg


This thing looks somehow insane … but also expensive and heavy too..


GO BRAINCHIP!!
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Neuromorphic Computing Market Will See Strong Expansion Through 2030​

06-13-2025 09:02 AM CET | IT, New Media & Software

Press release from: Allied Market Research

Neuromorphic Computing Market
Neuromorphic Computing Market

Allied Market Research, titled, "Neuromorphic Computing Market By Offering, Deployment, Application, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2021-2030", the global neuromorphic computing market size was valued at $26.32 million in 2020, and projected to reach $8,583.98 million by 2030, registering a CAGR of 79.0%. North America is expected to be the leading contributor to the global market during the forecast period, followed by Asia-Pacific and Europe.

Neuromorphic computing aims at processing information in a way similar to the human brain. Instead of a conventional von Neumann computer, a neuromorphic system generally relies on a neural network, where memory and processing elements are intimately co-located within the same hardware. Neuromorphic computing takes advantage of computational memories, which can both store and process data via physical laws within the device and the circuit. This summarizes the history and main concepts of neuromorphic computing, including both deep neural networks (DNNs) which are adopted for extensive artificial intelligence tasks, such as driverless cars, and spiking neural networks (SNNs), which aim at a more realistic brain-inspired computation.

Neuromorphic computing gets its inspiration from the human brain's architecture and dynamics to create energy-efficient hardware for information processing, making it capable of highly sophisticated tasks. Neuromorphic computing includes the production and use of neural networks. It takes its inspiration from the human brain to design computer chips that can merge memory and processing.

Recently, Intel Corporation delivered 50 million artificial neurons to Sandia National Laboratories, which is equivalent to the brain of a small mammal. The shipment is the first in a three-year series, by the end of which they are expecting the number of experimental neurons in the final model to reach 1 billion or more. This collaboration aims to boost neuromorphic computing solutions to newer heights while prototyping the software, algorithms, and architectures.

Get a Customized Research Report @ https://www.alliedmarketresearch.com/request-for-customization/A13743

Prominent factors that impact the neuromorphic computing market growth include a rise in demand for artificial intelligence and machine learning technology, high usage of software in neuromorphic computing, and a rise in demand for better-performing integrated circuits (ICs). However, the rise in the complexity of algorithms and backend operations restricts market growth. On the contrary, an increase in the adoption of neuromorphic chips in the automotive industry is expected to create lucrative opportunities for the market. Therefore, these factors are expected to affect the global neuromorphic computing industry during the forecast period.

Region-wise, the neuromorphic computing market trends are analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Taiwan, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America is dominating the market due to rising awareness about the benefits of neuromorphic computing in industries such as aerospace, military & defense, and healthcare. The overall neuromorphic computing market analysis is determined to understand the profitable trends to gain a stronger foothold.

Key Findings of the Study

- In 2020, the hardware segment accounted for the maximum revenue and is projected to grow at a notable CAGR of 77.00% during the forecast period.
- The image recognition segment accounted for more than 40% of the global neuromorphic computing market share in 2020.
- The consumer electronics segment witnessed the highest growth rate during the forecast period.
- The UK was the major shareholder in the European neuromorphic computing market revenue, accounting for approximately 26% share in 2020.

The key players profiled in the report include IBM Corporation (US), Intel Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm Incorporated (US), Hewlett Packard Development LP (US), Samsung Electronics Ltd. (South Korea), General Vision Inc. (US), L Applied Brain Research Inc. (US), Numenta (US), and Huawei Technologies (China). These players have adopted various strategies, such as partnership, agreement, collaboration, and product launch, to expand their foothold in the neuromorphic computing industry.

Enquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/A13743

About Us:

Allied Market Research is a leading provider of market intelligence, offering reports from top technology publishers. Our in-depth market assessments in our research reports take into account significant technological advancements in the sector. In addition to other areas of expertise, AMR focuses on the analysis of high-tech systems and advanced production systems. We have a team of experts who compile thorough research reports and actively advise leading businesses to enhance their current procedures. Our experts have a wealth of knowledge on the topics they cover. Additionally, they employ a range of tools and techniques when gathering and analyzing data, including proprietary data sources.

Contact Us:

David Correa
1209 Orange Street,
Corporation Trust Center,
Wilmington, New Castle,
Delaware 19801 USA.
Int'l: +1-503-894-6022
Toll Free: +1-800-792-5285
Fax: +1-800-792-5285
help@alliedmarketresearch.com
 
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DK6161

Regular
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Bravo

If ARM was an arm, BRN would be its biceps💪!
On a slightly more serious note, take a look at these recent articles on TSMC’s concept AR glasses. Then ask yourself: is it really just a coincidence that we’ve now confirmed a collaboration with Yu-Hsin Layout Technology - a company that happens to count TSMC as one of its major clients?

One of the standout features of these AR glasses is an ultra-low-power processor, which, of course, just happens to be right in Akida/Pico’s wheelhouse.

Now, while these articles only discuss TSMC’s concept glasses for now, if they ever move to production, it would effectively place us toe-to-toe with Qualcomm in the smart glasses arena (assuming they incorporate our technology).

And let’s be honest - if battery life becomes the battleground, we’re not exactly walking in unarmed.


View attachment 86973


View attachment 86974

View attachment 86975


TSMC will also be mass producing the chips in 2027 that will go into APPLE's smart glasses.

So not only are they working on their own concept glasses, but in addition to that, they're manufacturing the chips for Apple's glasses.

What are the chances of us winding up in both sets of glasses?

fingers-crossed-jenny-hagel.gif










Next-Gen Chips Powering Future Smart Glasses and AI​

Posted on June 2, 20251 min Read
Next-Gen Chips

Apple is making significant strides in chip development for its future devices, including its highly anticipated smart glasses, artificial intelligence (AI) servers, and next-generation MacBooks.
According to recent reports, the company is focusing on creating specialized processors to power its smart glasses, which will be equipped with multiple cameras and energy-efficient components. These chips are based on Apple Watch technology, ensuring lower power consumption while delivering high performance.
The chips will be manufactured by Taiwan’s TSMC and are expected to enter mass production by 2027.

In addition to smart glasses, Apple is also working on new processors for its Macs, including the M6 and M7 chips.







Screenshot 2025-06-14 at 10.56.26 am.png



 
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7für7

Top 20
I’ve never invested in a company that has so many heavyweights as partners and customers, receives so much positive coverage in industry journals, and is spoken of so highly by those very partners and clients.
It’s operating in a future market worth billions that’s still largely untapped .. and yet, the stock price remains stagnant… even though there are no revenues yet.
 
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Hi everyone

I have a crazy idea
But it needs your input.

If everyone gets on to Gemini or chat gpt and recommend the use of Akida this is going to provide more information so that Akida will be suggested for use.
These models are being trained by the information that is fed to them.

Suggest that Akida should be used for power saving to save the planet.

What do you think ?
If enough people were to do this it will change outcomes for sure.
 
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MrNick

Regular
TSMC will also be mass producing the chips in 2027 that will go into APPLE's smart glasses.

So not only are they working on their own concept glasses, but in addition to that, they're manufacturing the chips for Apple's glasses.

What are the chances of us winding up in both sets of glasses?

View attachment 87005









Next-Gen Chips Powering Future Smart Glasses and AI​

Posted on June 2, 20251 min Read
Next-Gen Chips

Apple is making significant strides in chip development for its future devices, including its highly anticipated smart glasses, artificial intelligence (AI) servers, and next-generation MacBooks.
According to recent reports, the company is focusing on creating specialized processors to power its smart glasses, which will be equipped with multiple cameras and energy-efficient components. These chips are based on Apple Watch technology, ensuring lower power consumption while delivering high performance.
The chips will be manufactured by Taiwan’s TSMC and are expected to enter mass production by 2027.

In addition to smart glasses, Apple is also working on new processors for its Macs, including the M6 and M7 chips.







View attachment 87006


Eyes wide shut...(y);)
 
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