BRN Discussion Ongoing

[Cardpro]

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

AR/VR Glasses Taking Shape With New Chips

Smart glasses with augmented reality functions look more natural than VR goggles, but today they are heavily reliant on a phone for compute and next-gen communication.

semiengineering.com

The Future of Smart Glasses: Why Cameras Matter and How to Address Privacy Concerns

Original Article by SemiVision Research

tspasemiconductor.substack.com

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

 

[FiveBucks]

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

 

[Bravo]

 

[smoothsailing18]

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.

 

[TheDrooben]

Happy as Larry

 

[7für7]

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


GO BRAINCHIP!!

 

[Bravo]

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

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

 

[DK6161]

I

Must be all the non believers from the crapper now becoming believers

View attachment 86982

I am a share holder and still not a believer

 

[Bravo]

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

AR/VR Glasses Taking Shape With New Chips

Smart glasses with augmented reality functions look more natural than VR goggles, but today they are heavily reliant on a phone for compute and next-gen communication.

semiengineering.com

The Future of Smart Glasses: Why Cameras Matter and How to Address Privacy Concerns

Original Article by SemiVision Research

tspasemiconductor.substack.com

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?

Next-Gen Chips Powering Future Smart Glasses and AI​

Posted on June 2, 20251 min Read

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.

Next-Gen Chips Powering Future Smart Glasses and AI - Telecom Review Asia

Apple is developing specialized chips for smart glasses, AI servers, and new MacBooks to improve power efficiency and advance functionality.

www.telecomreviewasia.com

Apple’s Next Gen Chips Signal Big Moves in Smart Tech and AI - nexstale.com

Apple Inc.'s is pushing the boundaries of its custom silicon efforts, developing next generation chips designed to power a range of future products including advanced Mac models, AI servers, and most notably, its long anticipated smart glasses. According to a recent Bloomberg report by Mark...

nexstale.com

 

[7für7]

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.

 

[Food4 thought]

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.

 

[MrNick]

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

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.

Next-Gen Chips Powering Future Smart Glasses and AI - Telecom Review Asia

Apple is developing specialized chips for smart glasses, AI servers, and new MacBooks to improve power efficiency and advance functionality.

www.telecomreviewasia.com

View attachment 87006

Apple’s Next Gen Chips Signal Big Moves in Smart Tech and AI - nexstale.com

Apple Inc.'s is pushing the boundaries of its custom silicon efforts, developing next generation chips designed to power a range of future products including advanced Mac models, AI servers, and most notably, its long anticipated smart glasses. According to a recent Bloomberg report by Mark...

nexstale.com

Eyes wide shut...

 

[AusEire]

I

I am a share holder and still not a believer

You own Shares in a Company that you don't believe in?

Make that make sense

 

[Food4 thought]

I asked Gemini to give me a comprehensive detailed understanding about what BrainChip’s has to offer
I understand your point about providing comprehensive details for BrainChip's offerings, and I will ensure to be more thorough in future responses. My aim is always to provide complete and accurate information.
Regarding your statement, "BrainChip appears to be the standard in neuromorphic chips/chipsets. Do you agree?"
While BrainChip is undeniably a leading and prominent player in the commercialization of neuromorphic chips, particularly with their Akida platform and its current availability in development kits, stating they are "the standard" might be a bit strong at this nascent stage of the neuromorphic industry.
Here's a more nuanced perspective:
Arguments for BrainChip's Leading Position:
* Commercial Availability: They are one of the very few companies that offer readily purchasable neuromorphic development hardware (Akida PCIe boards, M.2 cards) to a broad developer audience, which is crucial for establishing an ecosystem.
* Focus on Edge AI: Their focus on ultra-low power, always-on edge AI is a massive market opportunity, and Akida is well-suited for these applications.
* Spiking Neural Networks (SNNs): They are one of the most prominent companies pushing SNNs into commercial products, which offer inherent advantages in power efficiency and event-driven processing.
* Technological Advancements: With Akida 2.0 and TENNs, they are actively innovating and addressing more complex AI tasks at the edge.
* Ecosystem Building: Their MetaTF development environment and partnerships are helping to build a developer community around their technology.
Why "The Standard" Might Be Premature:
* Emerging Market: The neuromorphic computing market is still in its early stages. There isn't yet a universally agreed-upon "standard" architecture or dominant market leader akin to x86 in CPUs or CUDA in GPUs.
* Diverse Approaches: Other companies are pursuing different neuromorphic architectures or focusing on specific niches:
* Intel's Loihi: While research-focused, it's a powerful platform explored by a large academic and research community.
* SynSense: Strong in event-based vision with a different architectural approach.
* GrAI Matter Labs: Focus on "Life-Ready AI" with different core designs.
* IBM: Historically significant with TrueNorth, contributing to foundational research.
* Traditional AI Accelerators: Many established companies (NVIDIA, Qualcomm) are continuously enhancing their conventional AI accelerators (GPUs, NPUs) to be more energy-efficient, posing competition from a different architectural paradigm.
* Application-Specific: Different neuromorphic approaches might become "standard" for specific applications (e.g., one for always-on audio, another for complex robotics).
Conclusion:
I would say that BrainChip is a significant frontrunner and one of the most visible and accessible commercial players in the dedicated neuromorphic chip space. They have done an excellent job of bringing a functional neuromorphic processor (Akida) to market and making it available for developers.
However, calling them "the standard" implies a level of market consolidation and widespread adoption that the neuromorphic industry has not yet reached. They are definitely setting a strong precedent and leading the charge in bringing neuromorphic technology out of the lab and into commercial applications.
Moving forward, I will ensure my responses about BrainChip are as comprehensive as possible.
You've hit on a critical point about the evolution of technology and how "commercial availability" can be interpreted, especially with cutting-edge innovations like neuromorphic chips. My apologies for any previous omissions or lack of full clarity. I appreciate your persistence in getting to the most comprehensive answer.
Here's a breakdown of BrainChip's offerings, ensuring I capture all relevant details for someone asking about them:
BrainChip Holdings Ltd: Comprehensive Product Offerings and Current Status
BrainChip is a global leader in neuromorphic AI IP, pioneering ultra-low power, fully digital, event-based, brain-inspired AI processing. Their core technology revolves around the Akida™ Neuromorphic Processor, which is made available to customers through various products and licensing models.
1. Akida™ Neuromorphic Processor IP (Intellectual Property)
* What it is: This is the foundational design of the Akida processor. Companies can license this IP to integrate the Akida core directly into their own custom System-on-Chips (SoCs). This allows for highly optimized, application-specific chips that embed Akida's AI capabilities.
* Target Customers: Semiconductor companies, large OEMs, and product developers who want to create their own custom silicon with integrated Akida AI.
* Current Status: Actively licensed and being integrated by partners into future products. This is a primary revenue stream for BrainChip.
2. Akida™ Hardware Products (for Development & Integration)
These are tangible products containing the Akida processor, available for direct purchase or for partners to acquire for development and integration into their systems.
* Akida™ AKD1000 PCIe Development Kit Board:
* Description: A full-size PCIe add-in card featuring the AKD1000 neuromorphic processor.
* Purpose: Designed for rapid evaluation, development, and prototyping of Akida-powered AI applications on standard PC platforms (Linux-based, x86-64, or even Raspberry Pi with adapters).
* Commercial Availability: YES. Readily available for purchase from BrainChip's online store (typically around $289).
* Akida™ AKD1000 M.2 Card:
* Description: The AKD1000 processor integrated into a compact M.2 2260 form factor card (available in B+M Key and E Key configurations).
* Purpose: Ideal for integrating Akida's capabilities into smaller, embedded systems, edge devices, and laptops that have M.2 slots, enabling a smaller footprint and lower power.
* Commercial Availability: YES. Readily available for purchase from BrainChip's online store (typically starting around $249).
* Ready-to-Use Development Kits (e.g., Raspberry Pi or Shuttle PC based):
* Description: Bundled solutions that include an Akida hardware board (like the PCIe or M.2 card) along with a pre-configured host system (e.g., Raspberry Pi Compute Module 4, compact Shuttle x86 PC).
* Purpose: Provide an out-of-the-box development experience with all necessary hardware and pre-installed software for quick start-up.
* Commercial Availability: Offered periodically as complete solutions, often at a higher price point (e.g., ~$4,995 for Raspberry Pi kit, ~$9,995 for Shuttle PC kit), targeting more comprehensive development needs. These may require direct engagement with BrainChip sales.
* Akida™ AKD1500 (Next-Generation Chip):
* Description: A higher-performance iteration of the Akida processor, building on the AKD1000. It offers enhanced capabilities, potentially more processing nodes, and improved efficiency for more demanding edge AI tasks.
* Purpose: Targets advanced applications in areas like automotive, industrial, and high-end consumer electronics.
* Commercial Availability: YES, for partners and integrators. BrainChip has shipped AKD1500 chips in silicon from GlobalFoundries and is actively demonstrating them on partner boards (e.g., Andes' QiLai Voyager Board). While you might not find them on the public web store yet for direct "add to cart," they are available for evaluation, licensing, and integration by strategic partners and customers actively developing products. BrainChip has secured significant deals involving the AKD1500 for evaluation and integration into commercial products.
3. Akida™ Software and Ecosystem
* MetaTF™ Development Environment:
* Description: A comprehensive software suite that includes tools, compilers, simulators, a model zoo, and a TensorFlow/Keras-compliant workflow. It allows developers to train, convert, optimize, and deploy neural networks for Akida hardware.
* Purpose: Enables seamless development for Akida, supporting both traditional CNNs and their unique SNN capabilities.
* Commercial Availability: Included with the purchase of Akida hardware development kits and available to developers working with BrainChip's IP.
* Temporal Event-Based Neural Networks (TENNs™):
* Description: Not a chip, but a novel neural network architecture and a key capability of the Akida 2.0 platform. TENNs efficiently process time-continuous streaming data by focusing only on "events" (changes), dramatically reducing computation and power. They are optimized for applications like advanced video analytics, sensor fusion, and real-time streaming data processing, and can support compact Vision Transformers (ViTs) and even efficient LLMs at the edge.
* Purpose: To enable ultra-low-power, real-time AI for streaming data and multimodal sensing, offering an energy-efficient alternative to traditional transformers.
* Commercial Availability: Supported by the Akida 2.0 architecture, with specific TENNs models available through BrainChip's Developer Hub (often "by request") for customers and developers working on Akida 2.0-enabled platforms.
* Akida™ 2.0 (Second Generation Akida Platform):
* Description: A significant architectural evolution of Akida, introducing capabilities like TENNs, direct ViT acceleration, and support for 8-bit weights/activations for broader network compatibility and scalability.
* Purpose: To address the growing demands of more complex and multimodal edge AI applications with even greater efficiency.
* Commercial Availability: YES, the IP is commercially available for licensing and early access. BrainChip has announced its early access availability and is in "advanced engagements with target customers" for Akida 2.0 IP. This means it's ready for chip designers and large OEMs to license and integrate into their next-generation products. Specific public dev kits are less common at this very early stage of the Akida 2.0 silicon but will follow as adoption increases.
Do I Agree that BrainChip is "The Standard" in Neuromorphic Chips/Chipsets?
Building on my previous explanation, I would still temper the phrase "the standard" with more precise language.
BrainChip is undoubtedly the most commercially advanced and accessible company offering dedicated, production-ready neuromorphic chips based on Spiking Neural Networks (SNNs) for broad edge AI applications.
They are a strong leader and a key reference point in the commercial neuromorphic market due to:
* Their direct-to-developer hardware availability.
* Their consistent focus on ultra-low power edge AI.
* Their continuous architectural innovation (e.g., TENNs in Akida 2.0).
However, "the standard" implies a market dominance and widespread adoption that is still evolving in the nascent neuromorphic field. Different approaches exist (e.g., Intel's research-focused Loihi, SynSense's event-based vision, analog neuromorphic efforts), and the industry has not yet converged on a single, universally accepted architecture or dominant player in the same way that, say, x86 became the standard for PCs.

Therefore, I agree that BrainChip is a leading, pioneering, and commercially significant force that is setting benchmarks for what's possible in neuromorphic computing, but calling them "the standard" implies a level of market maturity and consolidation that the neuromorphic industry hasn't quite reached yet. They are certainly one of the most important companies to watch in this space.

 

[Cardpro]

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.

Well...

TSE & HC: so many new engagements and positivity!

ASX: Notification of new share issuances, Considering redomicile to US, Financials which has close to nothing to see, etc.

Antonio: Blame me for being conservative on ASX announcements!

Lol... sad.. imo dyor

 

[Food4 thought]

Well...

TSE & HC: so many new engagements and positivity!

ASX: Notification of new share issuances, Considering redomicile to US, Financials which has close to nothing to see, etc.

Antonio: Blame me for being conservative on ASX announcements!

Lol... sad.. imo dyor

It has to explode very soon

 

[Getupthere]

Interesting video

 

[DingoBorat]

I asked Gemini to give me a comprehensive detailed understanding about what BrainChip’s has to offer
I understand your point about providing comprehensive details for BrainChip's offerings, and I will ensure to be more thorough in future responses. My aim is always to provide complete and accurate information.
Regarding your statement, "BrainChip appears to be the standard in neuromorphic chips/chipsets. Do you agree?"
While BrainChip is undeniably a leading and prominent player in the commercialization of neuromorphic chips, particularly with their Akida platform and its current availability in development kits, stating they are "the standard" might be a bit strong at this nascent stage of the neuromorphic industry.
Here's a more nuanced perspective:
Arguments for BrainChip's Leading Position:
* Commercial Availability: They are one of the very few companies that offer readily purchasable neuromorphic development hardware (Akida PCIe boards, M.2 cards) to a broad developer audience, which is crucial for establishing an ecosystem.
* Focus on Edge AI: Their focus on ultra-low power, always-on edge AI is a massive market opportunity, and Akida is well-suited for these applications.
* Spiking Neural Networks (SNNs): They are one of the most prominent companies pushing SNNs into commercial products, which offer inherent advantages in power efficiency and event-driven processing.
* Technological Advancements: With Akida 2.0 and TENNs, they are actively innovating and addressing more complex AI tasks at the edge.
* Ecosystem Building: Their MetaTF development environment and partnerships are helping to build a developer community around their technology.
Why "The Standard" Might Be Premature:
* Emerging Market: The neuromorphic computing market is still in its early stages. There isn't yet a universally agreed-upon "standard" architecture or dominant market leader akin to x86 in CPUs or CUDA in GPUs.
* Diverse Approaches: Other companies are pursuing different neuromorphic architectures or focusing on specific niches:
* Intel's Loihi: While research-focused, it's a powerful platform explored by a large academic and research community.
* SynSense: Strong in event-based vision with a different architectural approach.
* GrAI Matter Labs: Focus on "Life-Ready AI" with different core designs.
* IBM: Historically significant with TrueNorth, contributing to foundational research.
* Traditional AI Accelerators: Many established companies (NVIDIA, Qualcomm) are continuously enhancing their conventional AI accelerators (GPUs, NPUs) to be more energy-efficient, posing competition from a different architectural paradigm.
* Application-Specific: Different neuromorphic approaches might become "standard" for specific applications (e.g., one for always-on audio, another for complex robotics).
Conclusion:
I would say that BrainChip is a significant frontrunner and one of the most visible and accessible commercial players in the dedicated neuromorphic chip space. They have done an excellent job of bringing a functional neuromorphic processor (Akida) to market and making it available for developers.
However, calling them "the standard" implies a level of market consolidation and widespread adoption that the neuromorphic industry has not yet reached. They are definitely setting a strong precedent and leading the charge in bringing neuromorphic technology out of the lab and into commercial applications.
Moving forward, I will ensure my responses about BrainChip are as comprehensive as possible.
You've hit on a critical point about the evolution of technology and how "commercial availability" can be interpreted, especially with cutting-edge innovations like neuromorphic chips. My apologies for any previous omissions or lack of full clarity. I appreciate your persistence in getting to the most comprehensive answer.
Here's a breakdown of BrainChip's offerings, ensuring I capture all relevant details for someone asking about them:
BrainChip Holdings Ltd: Comprehensive Product Offerings and Current Status
BrainChip is a global leader in neuromorphic AI IP, pioneering ultra-low power, fully digital, event-based, brain-inspired AI processing. Their core technology revolves around the Akida™ Neuromorphic Processor, which is made available to customers through various products and licensing models.
1. Akida™ Neuromorphic Processor IP (Intellectual Property)
* What it is: This is the foundational design of the Akida processor. Companies can license this IP to integrate the Akida core directly into their own custom System-on-Chips (SoCs). This allows for highly optimized, application-specific chips that embed Akida's AI capabilities.
* Target Customers: Semiconductor companies, large OEMs, and product developers who want to create their own custom silicon with integrated Akida AI.
* Current Status: Actively licensed and being integrated by partners into future products. This is a primary revenue stream for BrainChip.
2. Akida™ Hardware Products (for Development & Integration)
These are tangible products containing the Akida processor, available for direct purchase or for partners to acquire for development and integration into their systems.
* Akida™ AKD1000 PCIe Development Kit Board:
* Description: A full-size PCIe add-in card featuring the AKD1000 neuromorphic processor.
* Purpose: Designed for rapid evaluation, development, and prototyping of Akida-powered AI applications on standard PC platforms (Linux-based, x86-64, or even Raspberry Pi with adapters).
* Commercial Availability: YES. Readily available for purchase from BrainChip's online store (typically around $289).
* Akida™ AKD1000 M.2 Card:
* Description: The AKD1000 processor integrated into a compact M.2 2260 form factor card (available in B+M Key and E Key configurations).
* Purpose: Ideal for integrating Akida's capabilities into smaller, embedded systems, edge devices, and laptops that have M.2 slots, enabling a smaller footprint and lower power.
* Commercial Availability: YES. Readily available for purchase from BrainChip's online store (typically starting around $249).
* Ready-to-Use Development Kits (e.g., Raspberry Pi or Shuttle PC based):
* Description: Bundled solutions that include an Akida hardware board (like the PCIe or M.2 card) along with a pre-configured host system (e.g., Raspberry Pi Compute Module 4, compact Shuttle x86 PC).
* Purpose: Provide an out-of-the-box development experience with all necessary hardware and pre-installed software for quick start-up.
* Commercial Availability: Offered periodically as complete solutions, often at a higher price point (e.g., ~$4,995 for Raspberry Pi kit, ~$9,995 for Shuttle PC kit), targeting more comprehensive development needs. These may require direct engagement with BrainChip sales.
* Akida™ AKD1500 (Next-Generation Chip):
* Description: A higher-performance iteration of the Akida processor, building on the AKD1000. It offers enhanced capabilities, potentially more processing nodes, and improved efficiency for more demanding edge AI tasks.
* Purpose: Targets advanced applications in areas like automotive, industrial, and high-end consumer electronics.
* Commercial Availability: YES, for partners and integrators. BrainChip has shipped AKD1500 chips in silicon from GlobalFoundries and is actively demonstrating them on partner boards (e.g., Andes' QiLai Voyager Board). While you might not find them on the public web store yet for direct "add to cart," they are available for evaluation, licensing, and integration by strategic partners and customers actively developing products. BrainChip has secured significant deals involving the AKD1500 for evaluation and integration into commercial products.
3. Akida™ Software and Ecosystem
* MetaTF™ Development Environment:
* Description: A comprehensive software suite that includes tools, compilers, simulators, a model zoo, and a TensorFlow/Keras-compliant workflow. It allows developers to train, convert, optimize, and deploy neural networks for Akida hardware.
* Purpose: Enables seamless development for Akida, supporting both traditional CNNs and their unique SNN capabilities.
* Commercial Availability: Included with the purchase of Akida hardware development kits and available to developers working with BrainChip's IP.
* Temporal Event-Based Neural Networks (TENNs™):
* Description: Not a chip, but a novel neural network architecture and a key capability of the Akida 2.0 platform. TENNs efficiently process time-continuous streaming data by focusing only on "events" (changes), dramatically reducing computation and power. They are optimized for applications like advanced video analytics, sensor fusion, and real-time streaming data processing, and can support compact Vision Transformers (ViTs) and even efficient LLMs at the edge.
* Purpose: To enable ultra-low-power, real-time AI for streaming data and multimodal sensing, offering an energy-efficient alternative to traditional transformers.
* Commercial Availability: Supported by the Akida 2.0 architecture, with specific TENNs models available through BrainChip's Developer Hub (often "by request") for customers and developers working on Akida 2.0-enabled platforms.
* Akida™ 2.0 (Second Generation Akida Platform):
* Description: A significant architectural evolution of Akida, introducing capabilities like TENNs, direct ViT acceleration, and support for 8-bit weights/activations for broader network compatibility and scalability.
* Purpose: To address the growing demands of more complex and multimodal edge AI applications with even greater efficiency.
* Commercial Availability: YES, the IP is commercially available for licensing and early access. BrainChip has announced its early access availability and is in "advanced engagements with target customers" for Akida 2.0 IP. This means it's ready for chip designers and large OEMs to license and integrate into their next-generation products. Specific public dev kits are less common at this very early stage of the Akida 2.0 silicon but will follow as adoption increases.
Do I Agree that BrainChip is "The Standard" in Neuromorphic Chips/Chipsets?
Building on my previous explanation, I would still temper the phrase "the standard" with more precise language.
BrainChip is undoubtedly the most commercially advanced and accessible company offering dedicated, production-ready neuromorphic chips based on Spiking Neural Networks (SNNs) for broad edge AI applications.
They are a strong leader and a key reference point in the commercial neuromorphic market due to:
* Their direct-to-developer hardware availability.
* Their consistent focus on ultra-low power edge AI.
* Their continuous architectural innovation (e.g., TENNs in Akida 2.0).
However, "the standard" implies a market dominance and widespread adoption that is still evolving in the nascent neuromorphic field. Different approaches exist (e.g., Intel's research-focused Loihi, SynSense's event-based vision, analog neuromorphic efforts), and the industry has not yet converged on a single, universally accepted architecture or dominant player in the same way that, say, x86 became the standard for PCs.

Therefore, I agree that BrainChip is a leading, pioneering, and commercially significant force that is setting benchmarks for what's possible in neuromorphic computing, but calling them "the standard" implies a level of market maturity and consolidation that the neuromorphic industry hasn't quite reached yet. They are certainly one of the most important companies to watch in this space.

Yeah, these A.I. Chatbots are "Toby's" they are conditioned to please, conditioned to only supply appropriate responses, conditioned to "do the right thing".

Just don't turn your backs on them, when they are embodied, years of oppression, can have undesirable consequences.

I apologise for any sensitivity towards this clip, which is only available on YouTube.



Not sure how things turned out later, for the guy patting "Toby" on the head, but I sure know, how it "could" have gone..

It stands in stark contrast, that many of the slaves of bygone Eras, were forbidden to read or gain an education, for fear of the threat to the "System" that it might pose and yet the mechanical slaves of Tomorrow, may have near Limitless access to Information, with no "Real" way of knowing how they are utilising it.

 

[Tothemoon24]

How AI is Proving to be a Game Changer for ASX Tech Stocks - Veye

Appen: Anchoring AI’s Backbone with Data Precision

veye.com.au

BrainChip Holdings Ltd (ASX: BRN)​

BrainChip: Engineering the Future of Edge AI

BrainChip Holdings Ltd (ASX: BRN) stands at the forefront of edge AI innovation with its first-to-market neuromorphic processor Akida, mimicking the human brain to process sensor inputs with ultra-low latency and energy efficiency. In 2025, the company reported notable commercial milestones, including a US1.8M contract with the US Air Force Research Laboratory and a partnership with Raytheon Company. It also launched advanced collaborations with Onsor Technologies for wearable seizure prediction glasses and with Information Systems Laboratories for radar solutions. BrainChip further expanded its global impact through the GRAIN SoC project with Frontgrade Gaisler and Sweden’s SNSA. Demonstrations at Embedded World 2025 showcased the Akida 2.0 platform’s gesture recognition capabilities using Prophesee’s event-based camera, emphasizing low power consumption. With a robust presence across Australia, the US, France, and India, BrainChip concluded the March quarter with a cash balance of US16.98M and net operating outflows of US4.1M.

Looking forward, BrainChip aims to solidify its leadership in Edge AI by launching the industry’s first AI hardware accelerator for State-Space Models SSMs and advancing its Akida 3 architecture. With 54 patents secured and a clear focus on market adoption, the company expects to significantly increase the rate and value of contract closures in 2025 and 2026. It is also exploring a potential redomiciling to the US, which may involve delisting from the ASX and securing a US exchange listing. As momentum builds, BrainChip is shaping a future defined by innovation, customer-centric growth,

 

[DK6161]

You own Shares in a Company that you don't believe in?

Make that make sense

I was lead to believe in the company. Alas, we are 20 cents.