BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
"Best-in-class power efficiency", so they say! Whose NPU is this I wonder?

Says here the "basic R-Car X5H includes up to 32 Arm Cortex-720AE" and we know were are compatible across Arm's product range.

Renesas previously collaborated with Hailo to offer combined solutions that pair the R-Car V4H SoC with Hailo-8 AI accelerators.

However, there isn't any publicly available information indicating that Renesas and Hailo have collaborated on the R-Car X5H, at least none that I've found as yet.


Screenshot 2024-12-28 at 1.46.24 pm.png



Chiplets Extend Automotive SoC AI and GPU Capability

Dec. 28, 2024

Renesas’ R-Car X5H SoC, which meets ASIL B/D, provides scalable automotive compute.

William G. Wong


https://www.electronicdesign.com/print/content/55252079

  • Features of the R-Car X5H automotive system-on-chip family.
  • How Renesas is taking advantage of chiplets.

The R-Car X5H family is a fifth-generation automotive system-on-chip (SoC) developed by Renesas that supports ASIL B/D capabilities as well as a neural processing unit (NPU). Built on the latest 3-nm chip technology, enhanced versions of the SoC come courtesy of chiplet technology. I talked with Cyril Clocher, Senior Director of the Automotive Product Line, about the details.

High-Performance Compute for Automotive Safety-Critical Apps​

The basic R-Car X5H includes up to 32 Arm Cortex-720AE applications cores capable of delivering 1000K DMIPS of performance (Fig. 1). Real-time support is provided by half-a-dozen Arm Cortex-R52 cores with dual lockstep capability. These can deliver 60K DMIPS of performance while meeting ASIL B and ASIL D certification requirements.

Renesas
Screenshot 2024-12-28 at 1.41.47 pm.png





1. The Renesas R-Car X5H includes 32 Arm Cortex-720AE applications cores, six Arm Cortex-R52 cores with lockstep support, an NPU, and a GPU.

There are general-purpose DSP cores, too, along with specialized accelerators such as the image signal processor (ISP) and dense-optical-flow (DOF) hardware accelerator (HWA) for handling multi-megapixel camera video streams.
The on-chip NPU can deliver up to 400 TOPS, while the on-chip GPU generates 4 TFLOPS of performance.
The chip includes an 8-port Ethernet switch, USB 2/3 ports, and PCI Express (PCIe) that supports Gen 4 and Gen 6. Also in the mix are an on-chip dedicated NPU and GPU. The GPU can drive a car’s display panel while the NPU handles artificial-intelligence and machine-learning (AI/ML) models.

Enhanced Automotive Chips Utilize UCIe

While the basic R-Car X5H monolithic chip is very impressive, it is designed to be enhanced using chiplets that employ Universal Chiplet Interconnect Express (UCIe) connectivity (Fig. 2). It can include up to two chiplets.

Renesas

The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

2. The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

Renesas has two types of chiplets that can be included in enhanced versions of the R-Car SoC—again, an NPU and a GPU. These are designed to augment the functionality of the built-in NPU and GPU. The chiplet and on-chip NPU are able to run a separate set of AI/ML models. Likewise, the GPU can drive additional displays.

Building a Software-Defined Vehicle​

The R-Car X5H family is destined for new automobiles including software-defined vehicles (SDVs). Thanks to the massive amount of computing power, the chip can handle everything from the advanced driver-assistance system (ADAS) to driving automation.
Renesas’ R-Car Open Access (RoX) SDV platform helps get developers up to speed by simplifying their development chores (Fig. 3). It works with a variety of pre-integrated operating systems and frameworks, tying them into the Arm Cortex-A720AE and Cortex-R52 compute arrays. It utilizes open-source software and standard. APIs. Software built on the reference stacks can be turned into products.

Renesas

R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.

3. The R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.


 
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7für7

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IMG_9019.jpeg


SNN-Based Lightweight AI Accelerator (Akida™ Core):
1. Event-Based Processing for High Performance:
• Achieves high efficiency and optimized performance.

2. Ideal for Battery-Powered Applications:
• Designed for low-power consumption.

3. SDK Support for CNN-to-SNN Conversion:
• Enables seamless integration of existing AI models into SNN architecture.

Evaluation Board/SDK (Linux-Based):

• Purpose:

The evaluation board, running on Linux, allows developers to test and evaluate the performance of AI inference models implemented on the Akida™ Core in real-world applications.

• Key Features:

1. TensorFlow/Keras Integration:
• For dataset preparation and model training.

2. BrainChip MetaTF Framework
For model quantization and conversion from CNN to SNN.

3. Akida Runtime:
• For deploying models.
• Goal: Provides developers with a powerful and flexible platform to implement Akida™-based AI solutions.

 
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manny100

Regular
Morning All,

As we all know, the Nintendo Switch 2 is widely expected to launch in 2025. And I was just reading some of the latest rumours (best taken with a grain of salt by the way) suggesting the big reveal could happen as early as January 8, 2025!

If Nintendo does decide to make an announcement that soon, I certainly won't be complaining because it will finally put to bed years of speculation. Obviously there's a decent chance that our technology might be incorporated in the next-generation console on the basis of the information I've included below.

And if f we are incorporated, it would likely be alongside NVIDIA’s Tegra 239 processor. Being featured in a product from a globally renowned brand like Nintendo, alongside a technology giant like NVIDIA, would be nothing short of a dream come true - like hitting two major targets with one golden arrow! 🏹

The level of attention this would garner for BrainChip if our tech were to be incorporated in such a widely popular system is impossible to overstate IMO, especially if it enables capabilities previously unimaginable in gaming with features like gesture recognition, face recognition, voice recognition, and voice identification alongside benefits of low power consumption and longer battery life. Not only would it bring huge value to the user experience but it would also help us to showcase on a global scale the transformative power of our innovations.

Patience has been a crucial virtue in this process, given the lengthy product cycles involved in developing large-scale integration (LSI) systems. However, if this achievement comes to fruition, the payoff for our perseverance will be monumental.

As for the recent rise in our share price, it’s hard to pinpoint the exact cause. Is it the likelihood of our involvement in the soon to be released Nintendo Switch 2? The anticipation surrounding CES 2025 and potential reveals there? The strategic positioning of our intellectual property with Renesas? Or perhaps the credibility we’ve gained from recent announcements involving Airbus and the AFRL?

Whatever the reason, I believe the increasing share price is a sign that the market is starting to wake up to the potential of our stock and with the right announcements forthcomming, we could go absolutely gang-busters.

My opinion only.




View attachment 74814

View attachment 74816





View attachment 74815







Interesting, great post, It would be unbelievably huge for BRN (and holders) if we were supplying to Nintendo via Microchip.
With AKIDA technology, Nintendo could push the boundaries of what's possible in handheld gaming, creating a more powerful, efficient, and innovative gaming console. Latency, low power, enhanced gaming experiences etc.
Microchip obviously took a license with a use for AKIDA in mind. Let's hope its Nintendo.
 
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Fenris78

Regular
"Best-in-class power efficiency", so they say! Whose NPU is this I wonder?

Says here the "basic R-Car X5H includes up to 32 Arm Cortex-720AE" and we know were are compatible across Arm's product range.

Renesas previously collaborated with Hailo to offer combined solutions that pair the R-Car V4H SoC with Hailo-8 AI accelerators.

However, there isn't any publicly available information indicating that Renesas and Hailo have collaborated on the R-Car X5H, at least none that I've found as yet.


View attachment 74837



Chiplets Extend Automotive SoC AI and GPU Capability

Dec. 28, 2024

Renesas’ R-Car X5H SoC, which meets ASIL B/D, provides scalable automotive compute.

William G. Wong


https://www.electronicdesign.com/print/content/55252079

  • Features of the R-Car X5H automotive system-on-chip family.
  • How Renesas is taking advantage of chiplets.

The R-Car X5H family is a fifth-generation automotive system-on-chip (SoC) developed by Renesas that supports ASIL B/D capabilities as well as a neural processing unit (NPU). Built on the latest 3-nm chip technology, enhanced versions of the SoC come courtesy of chiplet technology. I talked with Cyril Clocher, Senior Director of the Automotive Product Line, about the details.

High-Performance Compute for Automotive Safety-Critical Apps​

The basic R-Car X5H includes up to 32 Arm Cortex-720AE applications cores capable of delivering 1000K DMIPS of performance (Fig. 1). Real-time support is provided by half-a-dozen Arm Cortex-R52 cores with dual lockstep capability. These can deliver 60K DMIPS of performance while meeting ASIL B and ASIL D certification requirements.

Renesas
View attachment 74834




1. The Renesas R-Car X5H includes 32 Arm Cortex-720AE applications cores, six Arm Cortex-R52 cores with lockstep support, an NPU, and a GPU.

There are general-purpose DSP cores, too, along with specialized accelerators such as the image signal processor (ISP) and dense-optical-flow (DOF) hardware accelerator (HWA) for handling multi-megapixel camera video streams.
The on-chip NPU can deliver up to 400 TOPS, while the on-chip GPU generates 4 TFLOPS of performance.
The chip includes an 8-port Ethernet switch, USB 2/3 ports, and PCI Express (PCIe) that supports Gen 4 and Gen 6. Also in the mix are an on-chip dedicated NPU and GPU. The GPU can drive a car’s display panel while the NPU handles artificial-intelligence and machine-learning (AI/ML) models.

Enhanced Automotive Chips Utilize UCIe

While the basic R-Car X5H monolithic chip is very impressive, it is designed to be enhanced using chiplets that employ Universal Chiplet Interconnect Express (UCIe) connectivity (Fig. 2). It can include up to two chiplets.

Renesas

The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

2. The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

Renesas has two types of chiplets that can be included in enhanced versions of the R-Car SoC—again, an NPU and a GPU. These are designed to augment the functionality of the built-in NPU and GPU. The chiplet and on-chip NPU are able to run a separate set of AI/ML models. Likewise, the GPU can drive additional displays.

Building a Software-Defined Vehicle​

The R-Car X5H family is destined for new automobiles including software-defined vehicles (SDVs). Thanks to the massive amount of computing power, the chip can handle everything from the advanced driver-assistance system (ADAS) to driving automation.
Renesas’ R-Car Open Access (RoX) SDV platform helps get developers up to speed by simplifying their development chores (Fig. 3). It works with a variety of pre-integrated operating systems and frameworks, tying them into the Arm Cortex-A720AE and Cortex-R52 compute arrays. It utilizes open-source software and standard. APIs. Software built on the reference stacks can be turned into products.

Renesas

R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.

3. The R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.


4 years since the IP license... finally a product!!!
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
4 years since the IP license... finally a product!!!


As mentioned, I'm not sure it's going to include our technology, but I am very hopeful. Bearing in mind, if it does, Renesas has announced that the R-Car X5H System-on-Chip (SoC) will only be available for sampling to select automotive customers in the first half of 2025, and then mass production would be scheduled for the second half of 2027.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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manny100

Regular
As mentioned, I'm not sure it's going to include our technology, but I am very hopeful. Bearing in mind, if it does, Renesas has announced that the R-Car X5H System-on-Chip (SoC) will only be available for sampling to select automotive customers in the first half of 2025, and then mass production would be scheduled for the second half of 2027.
Shows how long it takes to get new products to market.
Microchip and Renesas obviously had end users in mind when they signed up.
Patient holders will be rewarded hopefully in 2025 and beyond.
 
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Diogenese

Top 20
"Best-in-class power efficiency", so they say! Whose NPU is this I wonder?

Says here the "basic R-Car X5H includes up to 32 Arm Cortex-720AE" and we know were are compatible across Arm's product range.

Renesas previously collaborated with Hailo to offer combined solutions that pair the R-Car V4H SoC with Hailo-8 AI accelerators.

However, there isn't any publicly available information indicating that Renesas and Hailo have collaborated on the R-Car X5H, at least none that I've found as yet.


View attachment 74837



Chiplets Extend Automotive SoC AI and GPU Capability

Dec. 28, 2024

Renesas’ R-Car X5H SoC, which meets ASIL B/D, provides scalable automotive compute.

William G. Wong


https://www.electronicdesign.com/print/content/55252079

  • Features of the R-Car X5H automotive system-on-chip family.
  • How Renesas is taking advantage of chiplets.

The R-Car X5H family is a fifth-generation automotive system-on-chip (SoC) developed by Renesas that supports ASIL B/D capabilities as well as a neural processing unit (NPU). Built on the latest 3-nm chip technology, enhanced versions of the SoC come courtesy of chiplet technology. I talked with Cyril Clocher, Senior Director of the Automotive Product Line, about the details.

High-Performance Compute for Automotive Safety-Critical Apps​

The basic R-Car X5H includes up to 32 Arm Cortex-720AE applications cores capable of delivering 1000K DMIPS of performance (Fig. 1). Real-time support is provided by half-a-dozen Arm Cortex-R52 cores with dual lockstep capability. These can deliver 60K DMIPS of performance while meeting ASIL B and ASIL D certification requirements.

Renesas
View attachment 74834




1. The Renesas R-Car X5H includes 32 Arm Cortex-720AE applications cores, six Arm Cortex-R52 cores with lockstep support, an NPU, and a GPU.

There are general-purpose DSP cores, too, along with specialized accelerators such as the image signal processor (ISP) and dense-optical-flow (DOF) hardware accelerator (HWA) for handling multi-megapixel camera video streams.
The on-chip NPU can deliver up to 400 TOPS, while the on-chip GPU generates 4 TFLOPS of performance.
The chip includes an 8-port Ethernet switch, USB 2/3 ports, and PCI Express (PCIe) that supports Gen 4 and Gen 6. Also in the mix are an on-chip dedicated NPU and GPU. The GPU can drive a car’s display panel while the NPU handles artificial-intelligence and machine-learning (AI/ML) models.

Enhanced Automotive Chips Utilize UCIe

While the basic R-Car X5H monolithic chip is very impressive, it is designed to be enhanced using chiplets that employ Universal Chiplet Interconnect Express (UCIe) connectivity (Fig. 2). It can include up to two chiplets.

Renesas

The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

2. The R-Car X5H can be enhanced by including an NPU and GPU chiplet.

Renesas has two types of chiplets that can be included in enhanced versions of the R-Car SoC—again, an NPU and a GPU. These are designed to augment the functionality of the built-in NPU and GPU. The chiplet and on-chip NPU are able to run a separate set of AI/ML models. Likewise, the GPU can drive additional displays.

Building a Software-Defined Vehicle​

The R-Car X5H family is destined for new automobiles including software-defined vehicles (SDVs). Thanks to the massive amount of computing power, the chip can handle everything from the advanced driver-assistance system (ADAS) to driving automation.
Renesas’ R-Car Open Access (RoX) SDV platform helps get developers up to speed by simplifying their development chores (Fig. 3). It works with a variety of pre-integrated operating systems and frameworks, tying them into the Arm Cortex-A720AE and Cortex-R52 compute arrays. It utilizes open-source software and standard. APIs. Software built on the reference stacks can be turned into products.

Renesas

R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.

3. The R-Car Open Access (RoX) SDV platform supports pre-integrated operating systems and frameworks.


Keeping their cards close -

https://www.renesas.com/en/support/events

Join us at CES 2025
Jan 7, 2025 - Jan 10, 2025
Renaissance Hotel Las Vegas Paid
CES IS JUST AROUND THE CORNER!
Join us in Las Vegas to learn about our latest innovations in automotive, connectivity, power
and AI. Meet with our experts and executives to discuss how Renesas can provide solutions for
all your design needs.

Contact your sales rep to schedule a tour and meet with our team.
See you in Vega
s!

Of course, Renesas have their in-house DRP-AI:

https://www.renesas.com/en/software-tool/ai-accelerator-drp-ai#overview

DRP-AI consists of AI-MAC (multiply-accumulate processor) and DRP (reconfigurable processor). AI processing can be executed at high speed by assigning AI-MAC for operations on the convolution layer and fully connected layer, and DRP for other complex processing such as preprocessing and pooling layer.

DRP-AI consists of AI-MAC (multiply-accumulate processor) and DRP (reconfigurable processor)


For more detailed technical information on DRP-AI, please refer to the following white paper.
White Paper: Embedded AI-Accelerator DRP-AI (PDF | English, 日本語)

While most AI accelerators specialize only in AI inference and rely on the CPU for pre- and post-processing, DRP-AI integrates pre- and post-processing and AI inference into a single DRP-AI hardware to achieve superior AI processing performance.


AI Processing Performance

Note that the inference processing time is the same for DRP-AI and "Other AI Accelerator", so Akida blows this away ... and Akida 2 probably eliminates much of the post-processing as well.

They do not refer to DRP-AI as an NPU ...
 
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Dijon101

Regular
Interesting, great post, It would be unbelievably huge for BRN (and holders) if we were supplying to Nintendo via Microchip.
With AKIDA technology, Nintendo could push the boundaries of what's possible in handheld gaming, creating a more powerful, efficient, and innovative gaming console. Latency, low power, enhanced gaming experiences etc.
Microchip obviously took a license with a use for AKIDA in mind. Let's hope its Nintendo.

It's MegaChips that has the IP deal with us and has Nintendo as a customer.
 
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manny100

Regular
It's MegaChips that has the IP deal with us and has Ninteckndo as a customer.
AI Shark are hinting that they have the 'gig' with Nintendo Switch 2 but Nintendo have not confirmed that, so it means 'jack shiete' ATM.
They planned a release in Sept'24 to coincide with the Nintendo release which was postponed.
 
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AI Shark are hinting that they have the 'gig' with Nintendo Switch 2 but Nintendo have not confirmed that, so it means 'jack shiete' ATM.
They planned a release in Sept'24 to coincide with the Nintendo release which was postponed.
A.I. Shark "may" have a gig with Nintendo, but their application doesn't seem to conflict with what AKIDA can do for the system.

The Switch 2, is a venue that will have multiple gigs going on.

There "was" some information on Switch 2, a while back (on this forum) that seemed to preclude our involvement (at least that's the impression I got, after having high hopes for it).

But there is so little "concrete" information on the Switch 2, nobody (outside of the companies involved) will know, until the official release of specs..
 
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Neuromorphic Computing: A Revolution Inspired by the Brain​

Bradley Susser

Bradley Susser
·
Follow
7 min read
·
15 hours ago


https://medium.com/m/signin?actionU...-----------------post_audio_button-----------

0*V-t-aB_p9JiPI-Gt

Visualizing the Future: Brain-Inspired Technology in Neuromorphic Computing
Neuromorphic computing, designed to emulate the human brain’s architecture is poised to revolutionize artificial intelligence (AI). In creating systems that mimic how our brains process information, neuromorphic computing promises to transform AI. These systems can learn continuously, adapt in real-time and require far less energy. This ultimately leads to faster, smarter and more efficient AI.

This approach leverages the brain’s inherent ability to process vast amounts of information efficiently. This allows AI to become more intelligent, more responsive and more adaptable. As the world increasingly depends on AI in various industries, such as healthcare, autonomous vehicles and edge computing, neuromorphic technology is rapidly becoming a game changer.

Market Growth and Key Drivers

The neuromorphic computing market is on a trajectory of rapid expansion, with projections forecasting a robust compound annual growth rate (CAGR) of approximately 22% from 2023 to 2032. This surge is fueled by several critical factors:

  • Unleashing Energy Efficiency: Neuromorphic systems offer a significant leap forward in energy efficiency compared to conventional computing models. In addressing the high energy consumption that plagues traditional systems, they pave the way for more sustainable and cost effective computing solutions. (Source: Skyquestt)
  • Powering Real Time Innovation: Real time processing capabilities are paramount for cutting edge applications such as autonomous vehicles and real time decision making systems. The inherent strengths of neuromorphic technology are perfectly positioned to meet this critical demand driving innovation across a wide range of industries. (Source: GlobeNewswire)
  • Fueling the AI Revolution: Across all sectors the demand for smarter and more efficient AI models is steadily increasing. Neuromorphic computing provides a powerful platform to address this growing need, enabling the development of more sophisticated and capable AI applications that can revolutionize various fields. (Source: EIN Presswire)
This combination of factors positions the neuromorphic computing market for continued growth and a transformative impact on the future of technology.

BrainChip Holdings Ltd.: A Leader in Neuromorphic Innovation

In the fast-paced world of neuromorphic computing, BrainChip Holdings Ltd. stands out.
This Australian company is the only publicly traded player going all in on this revolutionary technology. Their brainchild, the Akida chip (check it out here: https://brainchip.com/akida-foundations/) is what many believe to be a game changer. Inspired by the human brain, Akida delivers realtime AI, learns on the fly and boasts incredibly low power consumption.

Akida Chip: The Game Changer


The Akida processor is a breakthrough in neuromorphic computing. It combines learning and inference, allowing the chip to continuously adapt as it processes data. This makes it far more efficient than traditional processors offering 5 to 10 times better performance per watt. The Akida chip is particularly suited for demanding applications like vision processing, edge AI and battery powered devices.

Akida is poised to be a cornerstone of intelligent machines. It excels at tackling critical tasks like facial recognition, decision making and natural language processing, all while maintaining impressive efficiency.

Why Mimicking the Brain is So Revolutionary

The human brain is the most efficient computing system known to man, capable of processing vast amounts of information in a highly efficient and adaptive manner. By replicating the brain’s neural architecture, neuromorphic computing could unlock similar cognitive abilities leading to smarter, faster and more adaptive AI systems.

This is exemplified by Neuralink, Elon Musk’s brain machine interface company which also seeks to unlock the brain’s potential but through a different approach. Neuralink pioneers direct brain computer interfaces but BrainChip offers a unique perspective. Drawing inspiration from the brain itself, BrainChip’s technology mimics its remarkable ability to process and learn, paving the way for AI solutions that are both powerful and remarkably efficient.

Both companies share a common vision: creating smarter, more adaptable machines by understanding and mimicking the brain. In fact, neuromorphic computing can enable AI that learns continuously which is a fundamental breakthrough. This type of AI would be able to thrive in highly dynamic and complex environments unlocking transformative potential in areas like:

  • Autonomous vehicles: Continuously learning systems that adapt to changing road conditions.
  • Healthcare: Real time decision making and improved diagnostics powered by adaptive AI.
  • Edge AI: Devices that can process and learn data locally with minimal power consumption.
  • Financial Services: Adapting to market shifts, revolutionizing trading and risk management.
  • Cybersecurity: Detecting evolving threats and adapting defenses in real time.
  • Robotics: Enabling robots to autonomously learn and adapt to new tasks.
  • Manufacturing: Optimizing production, predictive maintenance and quality control.
Leading Companies in Neuromorphic Computing

Several companies are at the forefront of neuromorphic computing, each contributing unique innovations:

  • BrainChip Holdings Ltd.: BrainChip specializes in neuromorphic computing. Their flagship product the Akida processor, enables low-power, real time AI processing for various industries.
  • Intel Corporation: Featuring millions of artificial neurons and synapses, Intel’s Loihi chip pushes the boundaries of brain inspired computing. This innovative chip enables real time learning and adaptation.
  • IBM Corporation: IBM’s TrueNorth chip architecture consists of a network of neurosynaptic cores, processing information in a highly parallel manner similar to biological neural networks.
  • Qualcomm Technologies Inc.: Qualcomm has been an early adopter of neuromorphic computing principles, influencing the development of its Neural Processing Units (NPUs) for mobile devices.
  • NVIDIA Corporation: NVIDIA incorporates brain inspired principles into its AI hardware and software stack, supporting efficient spiking neural networks.
The Role of Quantum Computing in Neuromorphic Technology

Quantum computing, often viewed as the next frontier in computing, could play a significant role in enhancing BrainChip’s neuromorphic technology. Here’s how:

  • Simulating Biological Systems: Quantum computing excels at simulating complex systems such as the biological neurons and synapses in the human brain. By leveraging quantum computers, BrainChip could gain deeper insights into brain functions optimizing the design of its chips for even greater efficiency.
  • Solving Optimization Problems: Neuromorphic systems involve complex configurations of networks and algorithms and quantum computers could accelerate the optimization process. Quantum algorithms like quantum annealing, could quickly solve problems related to network design and training, enabling BrainChip’s technology to scale faster.
  • Enhanced Machine Learning: Quantum computing could also enhance Akida’s learning capabilities. Traditional machine learning models often require vast amounts of data to train AI systems. Quantum algorithms could allow for more efficient learning from smaller datasets, making AI systems faster and more adaptable.
By integrating quantum computing techniques, BrainChip could dramatically enhance its neuromorphic processors. This fusion has the potential to not only improve efficiency but also unlock exponentially greater processing power and adaptability to new data.

BrainChip’s Leadership Team

BrainChip is led by a talented and experienced team positioning the company for success in the neuromorphic computing space:

  • Sean Hehir (CEO): With a proven track record of driving growth in the tech sector.
  • Dr. Tony Lewis (CTO): An expert in brain-inspired AI and robotics.
  • Steven Brightfield (CMO): Over 20 years of experience in launching cutting-edge semiconductor products.
  • Steve Thorne (VP of Sales): Bringing 28 years of experience in AI and data center solutions sales.
  • Todd Vierra (VP of Customer Engagement): A technical sales leader with expertise in machine learning and IoT.
BrainChip’s Patent Portfolio

BrainChip boasts a robust intellectual property (IP) portfolio with 20 issued patents (13 in the U.S. https://patents.justia.com/assignee/brainchip-inc) and 23 pending patent applications across various regions further strengthening its position as a leader in neuromorphic computing. This solid patent base provides BrainChip with a competitive edge and underscores the company’s innovation in this field.

BrainChip: An Investment Opportunity

Neuromorphic computing is poised to revolutionize AI by creating systems that continuously learn, adapt in real time and consume far less energy. This groundbreaking technology holds transformative potential as discussed in previous aforementioned paragraphs. Inclusive is autonomous vehicles, healthcare, edge AI, financial services, cybersecurity, robotics and manufacturing just to name a few industries.

At the forefront of this revolution is BrainChip Holdings Ltd., the only publicly traded company exclusively focused on neuromorphic computing. BrainChip offers a unique investment opportunity. The company is listed on both the Australian Stock Exchange (ASX) and the U.S. OTC Markets. Investors are encouraged to research the stock symbols and conduct thorough due diligence.

With a market capitalization of approximately $401 million BrainChip demonstrates significant growth potential. However, it’s important to acknowledge that this is still a speculative investment. Neuromorphic computing is in the early stages of commercialization and scaling the brain’s complex neuron and synapse structure remains a challenge. Investors should carefully assess the associated risks before making any investment decisions.

As research progresses and industry adoption expands, neuromorphic computing is poised to become a key player at the intersection of neuroscience and technology. It holds immense promise for advancing AI efficiency and processing capabilities.

Understanding OTC Stocks

Pink sheet companies, commonly referred to as OTC (over the counter) stocks are those that trade outside major stock exchanges like the NYSE or NASDAQ. These companies are often smaller or foreign entities that either don’t meet the stringent listing requirements of major exchanges or choose not to.

Some of the largest companies trading on the pink sheets include:

  • Nestle S.A. (NSRGY): A Swiss multinational food and beverage company, Nestle is one of the world’s largest corporations.
  • Nissan Motor Co., Ltd. (NSANY): A major Japanese automobile manufacturer, Nissan is renowned globally for its wide range of vehicles.
  • Hitachi Ltd. (HTHIY): A Japanese multinational conglomerate, Hitachi operates in sectors including information technology, construction machinery, and more.
  • Glencore plc (GLNCY): A British multinational commodity trading and mining company, Glencore is among the world’s largest globally diversified natural resource firms.
  • L’Oreal S.A. (LRLCY): A French personal care company, L’Oreal is the world’s largest cosmetics and beauty firm.
These companies opt to trade OTC, often through American Depositary Receipts (ADRs) to provide U.S. investors access without the complexities of a full exchange listing. Some OTC stocks represent large, well established companies. However, many others are smaller and less transparent. Therefore, thorough research is crucial before investing.

BrainChip’s Place in the OTC Market

As a company listed on the OTC market, BrainChip Holdings offers investors the opportunity to be part of the rapidly transformative field of neuromorphic computing. Like other prominent OTC companies such as Nestle and Nissan, BrainChip provides access to innovation and potential growth that might not yet be reflected in traditional exchange traded equities. However, as with any investment in the OTC space it is crucial for investors to evaluate the company’s fundamentals, market position and technological advancements thoroughly.

Disclaimer: The author does not currently own shares of BrainChip Holdings Ltd. The information provided in this article is for informational purposes only and should not be construed as financial advice. Always do your own research and consult with a professional financial advisor before making any investment decisions.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
A.I. Shark "may" have a gig with Nintendo, but their application doesn't seem to conflict with what AKIDA can do for the system.

The Switch 2, is a venue that will have multiple gigs going on.

There "was" some information on Switch 2, a while back (on this forum) that seemed to preclude our involvement (at least that's the impression I got, after having high hopes for it).

But there is so little "concrete" information on the Switch 2, nobody (outside of the companies involved) will know, until the official release of specs..

Hi @DingoBorat, I must have missed that post. Do you remember what the information was that seemed to preclude our involvement?
 
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Hi @DingoBorat, I must have missed that post. Do you remember what the information was that seemed to preclude our involvement?
I doubt you missed it Bravo, do you miss anything? 🤔..

It was probably just my gut feel at the time.

I know MegaChips would have pushed it and they would have had to have had customer interest already, to take on a full IP licence..

Maybe it was just a bit of a "Boo hoo, we'll never get into something" moment..


I'm actually more concerned about Dave right now.
I hear he didn't take BrainChip's performance yesterday too well..




Screenshot_20241228-184726_Firefox.jpg


Always remember Dave, drinking doesn't drown your sorrows, it just teaches them to swim.
 
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BrainShit

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Interesting, great post, It would be unbelievably huge for BRN (and holders) if we were supplying to Nintendo via Microchip.
With AKIDA technology, Nintendo could push the boundaries of what's possible in handheld gaming, creating a more powerful, efficient, and innovative gaming console. Latency, low power, enhanced gaming experiences etc.
Microchip obviously took a license with a use for AKIDA in mind. Let's hope its Nintendo.

Yes, that would unbeliveable... Microchip hasn't a licence.

MegaChips would be the provider. The initial term of the agreement is four years, allowing MegaChips to leverage Akida's ultra-low power and high-performance AI features in its ASIC solutions. 😉

Furthermore, if MegaChips is really providing Nintendo with Akida... we will only know if Nintendo will show it in their specs / announcements or Megachips is allowed to communicate this.

BrainChip hasn't even to do an ASX announcement if Nintendo use Akida.
 
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Yes, that would unbeliveable... Microchip hasn't a licence.

MegaChips would be the provider. The initial term of the agreement is four years, allowing MegaChips to leverage Akida's ultra-low power and high-performance AI features in its ASIC solutions. 😉
The initial licence was taken out in late November 2021, which means it would expire in late November 2025?..

I suppose, any products produced using our IP during that time, have perpetual rights to its usage?@Diogenese(with ongoing royalties to us of course).

I wonder if MegaChips will secure an additional IP licence, before next year's end, which this time includes AKIDA 2 and TENNs?..
 
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manny100

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A.I. Shark "may" have a gig with Nintendo, but their application doesn't seem to conflict with what AKIDA can do for the system.

The Switch 2, is a venue that will have multiple gigs going on.

There "was" some information on Switch 2, a while back (on this forum) that seemed to preclude our involvement (at least that's the impression I got, after having high hopes for it).

But there is so little "concrete" information on the Switch 2, nobody (outside of the companies involved) will know, until the official release of specs..
Yes, you are right. There are differences between what AKIDA1000 provides and what AI Shark.
AI Shark would be aimed at casual gamers.
AKIDA would be beneficial for more advanced gamers with enhanced gaming features and overall system efficiency. Low power, sensor integration and high performance etc.
I guess its wait and see. There may well be different models for different types of users.
 
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