BRN Discussion Ongoing

Evening Chippers ,

She's kicking off in 🇩🇪, above average € & Volume moving.


* Correction , low € & Volume , worth keeping an eye on ....



Regards,
Esq.
Guess people are buying knowing a new patent is soon to be released, then followed by the dump back down to the the 20c
 
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Esq.111

Fascinatingly Intuitive.
€660 transacted thus far & up 6%.

When i first looked at the numbers thought it was in thousands of €.
 
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€660 transacted thus far & up 6%.

When i first looked at the numbers thought it was in thousands of €.
Put another zero on and it could be up 60% 🤪
 
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Diogenese

Top 20
I'll be you 50,000 bucks we don't.

I need to top up my bank account because all my funds disappeared after I gave my account details to that LiamJohnson crypto recovery guy this morning.



View attachment 87881
You silly!

You know what you did wrong? He told me not to check my account for two weeks ...
 
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Frangipani

Top 20
(…) Here is some more info about the fourth one, the Living Planet Symposium in Vienna, organised by ESA.

Douglas McLelland and Gilles Bézard will be representing BrainChip with a talk titled “Event-driven computation and sparse neural network activity deliver low power AI” as part of the session Orbital Intelligence for Earth Observation applications: The edge of AI In Space, chaired by Gabriele Meoni from ESA, who has first-hand experience of AKD1000 cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-462334


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On Day 2 of the Paris Air Show 2025 at Le Bourget, ESA released Technology 2040, their vision for the next 15 years and beyond, which “fully supports and enhances” ESA’s Strategy 2040, published earlier this year 👆🏻.

Laurent Hili is named as one of the contact persons for the subtopic “AI-DRIVEN INNOVATIONS IN SPACE TECHNOLOGIES”.


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Some excerpts:

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Just over a week ago, Gabriele Meoni, Innovation Officer at ESA ESRIN (European Space Research Institute) in Frascati (Italy), chaired the session Orbital Intelligence for Earth Observation applications: The edge of AI In Space at ESA’s Living Planet Symposium in Vienna. One of several session talks was a BrainChip presentation by Douglas McLelland and Gilles Bézard (“Event-driven computation and sparse neural network activity deliver low power AI”). 👆🏻


Today, I stumbled across a newly launched ESA challenge co-coordinated by Gabriele Meoni titled Innovative mission concepts enabled by disruptive computing paradigms (SysNova Campaign).



Help ESA redefine the future of space computing​

30/06/2025208 VIEWS10 LIKES

ESA / Enabling & Support / Preparing for the Future / Discovery and Preparation
Due to the growing volume of data produced by Earth observation (EO), traditional computing architectures struggle to process information efficiently and promptly. To mitigate this issue, prepare Europe for the future of space computing, and grow from Earth observation into Earth action, ESA is seeking innovative mission concepts that use disruptive computing paradigms, potentially coupled with matching sensing technologies that could either bring new capabilities for Earth-orbiting satellites, or significantly improve current mission constrains.

Through its Technology Vision 2040 and Strategy 2040, ESA aims to advance technologies and missions which will allow us to provide actionable and rapid response to environmental changes and natural disasters and mitigate pressures on natural resources. EO satellites play a key role in reaching this objective by providing the data needed to make sense of the complexities of our planet. Yet these satellites are currently limited in terms of speed, efficiency and energy consumption.

Artificial intelligence (AI) and novel computing paradigms such as quantum, photonic or neuromorphic computing have the potential to transform space-based applications by dramatically increasing mission autonomy and decision making without humans. To consolidate Europe's position as a leader in sustainability and remote sensing, ESA is launching the new SysNova challenge "Innovative mission concepts enabled by disruptive computing paradigms".


"We are living in a very exciting time in history, at the dawn of the next industrial revolution, where artificial intelligence is becoming capable of solving complex reasoning tasks. Launching this campaign now will lay the foundation for the next generation of European space missions, enabling them to operate more autonomously and deliver critical data with less reliance on human intervention", says Iga Szczesniak, Space Innovation Engineer and one of the two ESA managers of this campaign.

Filling the gaps​

Φsat-2 ready for integration Φsat-2 ready for integration

The call builds on multiple past and ongoing initiatives at ESA. "Through missions like Φ-sat, OPS-SAT, and initiatives such as 3CS, ESA has explored the benefits of embedding intelligence in orbit. In parallel, disruptive paradigms like quantum and neuromorphic computing have shown potential to enhance processing of vast amount of data efficiently. Yet, few have examined how these technologies could redefine entire missions. It's time to take that next step", says Gabriele Meoni, ESA Innovation Officer and one of the campaign managers.

This call for mission proposals will build Europe's capability for next-generation missions that can handle complex data, and function with greater autonomy, efficiency, and intelligence, enhancing Europe's place as a leader in sustainability and remote sensing.

Send us your disruptive ideas​

ESA is looking for high-risk, high-benefit mission concepts, built using technologies that are expected to be accessible within the next 10–15 years. "We aim to see innovative system studies and mission architectures that enable new applications, improve mission trade-offs, or solve current bottlenecks. If you are conducting disruptive research at the intersection of computation and space, we would love to hear your perspective on how to better connect these fields in the context of a mission", says Iga.


The call runs through SysNova, ESA's technology assessment scheme that promotes joint studies between academia and industry. "We want to spark ideas that could yield transformative benefits for current missions or enable novel applications in Earth observation and beyond, with the ambition to translate these concepts into in-orbit demonstrations within the next few years", adds Gabriele.

Teams can submit their mission proposals on the Open Space Innovation Platform (OSIP) until 14 September 2025. The primary mission focus is Earth observation; however, missions focused on secure satellite communications, enhanced connectivity, and other mission-critical operations will also be considered.

The challenge focuses exclusively on upstream applications, at the platform or payload level on board of the spacecraft. Ideas for ground segment level applications might be taken into considerations only if they offer proven and significant improvements for the mission concepts.

Up to five ideas will be selected for a six-month study with a budget of € 100,000 each. At the end, the winning study will be awarded a session at the Concurrent Design Facility (CDF) for further development.


This SysNova challenge is a part of ESA's Preparation activities. Additional details, processes and conditions for the campaign can be found here.



Here is the link to the official ESA SysNova campaign website:




E3E95071-8138-4196-8BB5-5AD29EE1624F.jpeg



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4B1CB3E8-DA52-4629-845A-102F048392EE.jpeg
B4968589-E264-4D55-8CC4-414BF8839C92.jpeg


“Ideas shall not violate the laws of physics” - 🤪
 
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Frangipani

Top 20
Just over a week ago, Gabriele Meoni, Innovation Officer at ESA ESRIN (European Space Research Institute) in Frascati (Italy), chaired the session Orbital Intelligence for Earth Observation applications: The edge of AI In Space at ESA’s Living Planet Symposium in Vienna. One of several session talks was a BrainChip presentation by Douglas McLelland and Gilles Bézard (“Event-driven computation and sparse neural network activity deliver low power AI”). 👆🏻


Today, I stumbled across a newly launched ESA challenge co-coordinated by Gabriele Meoni titled Innovative mission concepts enabled by disruptive computing paradigms (SysNova Campaign).



Help ESA redefine the future of space computing​

30/06/2025208 VIEWS10 LIKES

ESA / Enabling & Support / Preparing for the Future / Discovery and Preparation
Due to the growing volume of data produced by Earth observation (EO), traditional computing architectures struggle to process information efficiently and promptly. To mitigate this issue, prepare Europe for the future of space computing, and grow from Earth observation into Earth action, ESA is seeking innovative mission concepts that use disruptive computing paradigms, potentially coupled with matching sensing technologies that could either bring new capabilities for Earth-orbiting satellites, or significantly improve current mission constrains.

Through its Technology Vision 2040 and Strategy 2040, ESA aims to advance technologies and missions which will allow us to provide actionable and rapid response to environmental changes and natural disasters and mitigate pressures on natural resources. EO satellites play a key role in reaching this objective by providing the data needed to make sense of the complexities of our planet. Yet these satellites are currently limited in terms of speed, efficiency and energy consumption.

Artificial intelligence (AI) and novel computing paradigms such as quantum, photonic or neuromorphic computing have the potential to transform space-based applications by dramatically increasing mission autonomy and decision making without humans. To consolidate Europe's position as a leader in sustainability and remote sensing, ESA is launching the new SysNova challenge "Innovative mission concepts enabled by disruptive computing paradigms".


"We are living in a very exciting time in history, at the dawn of the next industrial revolution, where artificial intelligence is becoming capable of solving complex reasoning tasks. Launching this campaign now will lay the foundation for the next generation of European space missions, enabling them to operate more autonomously and deliver critical data with less reliance on human intervention", says Iga Szczesniak, Space Innovation Engineer and one of the two ESA managers of this campaign.

Filling the gaps​

Φsat-2 ready for integration Φsat-2 ready for integration

The call builds on multiple past and ongoing initiatives at ESA. "Through missions like Φ-sat, OPS-SAT, and initiatives such as 3CS, ESA has explored the benefits of embedding intelligence in orbit. In parallel, disruptive paradigms like quantum and neuromorphic computing have shown potential to enhance processing of vast amount of data efficiently. Yet, few have examined how these technologies could redefine entire missions. It's time to take that next step", says Gabriele Meoni, ESA Innovation Officer and one of the campaign managers.

This call for mission proposals will build Europe's capability for next-generation missions that can handle complex data, and function with greater autonomy, efficiency, and intelligence, enhancing Europe's place as a leader in sustainability and remote sensing.

Send us your disruptive ideas​

ESA is looking for high-risk, high-benefit mission concepts, built using technologies that are expected to be accessible within the next 10–15 years. "We aim to see innovative system studies and mission architectures that enable new applications, improve mission trade-offs, or solve current bottlenecks. If you are conducting disruptive research at the intersection of computation and space, we would love to hear your perspective on how to better connect these fields in the context of a mission", says Iga.


The call runs through SysNova, ESA's technology assessment scheme that promotes joint studies between academia and industry. "We want to spark ideas that could yield transformative benefits for current missions or enable novel applications in Earth observation and beyond, with the ambition to translate these concepts into in-orbit demonstrations within the next few years", adds Gabriele.

Teams can submit their mission proposals on the Open Space Innovation Platform (OSIP) until 14 September 2025. The primary mission focus is Earth observation; however, missions focused on secure satellite communications, enhanced connectivity, and other mission-critical operations will also be considered.

The challenge focuses exclusively on upstream applications, at the platform or payload level on board of the spacecraft. Ideas for ground segment level applications might be taken into considerations only if they offer proven and significant improvements for the mission concepts.

Up to five ideas will be selected for a six-month study with a budget of € 100,000 each. At the end, the winning study will be awarded a session at the Concurrent Design Facility (CDF) for further development.


This SysNova challenge is a part of ESA's Preparation activities. Additional details, processes and conditions for the campaign can be found here.



Here is the link to the official ESA SysNova campaign website:




View attachment 87892


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“Ideas shall not violate the laws of physics” - 🤪

Just noticed that ESA also posted about the campaign on LinkedIn earlier today:


B19612C9-3403-4AD2-8FA8-A13226A377C3.jpeg
 
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Getupthere

Regular
One thing we know is that at least $500,000 will be generated when the 4C is released at the end of this month.

Cash inflow from customers in the current quarter of US$0.14M was higher than the prior quarter


(US$0.05M). The current quarter inflows were lower than expected due to the late receipt of engineering revenues of $0.54M after the close of the quarter.
 
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CHIPS

Regular
I haven't seen this for a long time 😍


1751376087558.png
 
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CHIPS

Regular
What is this? Can somebody explain, please? It is today's ASX Ann.


There are 3 more from the last three days.
 
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itsol4605

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FJ-215

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FJ-215

Regular
Evening Bravo & Pom ,

Tizz a intriguing wager .

Pom ,

You do realise 50,000 Bucks is alot of animals.

To put it into alittle perspective ,

One fully laiden Road Train with triple trailers, double decks , could probably carry 144 animals= 24 animals per deck = 48 per trailer x 3= 144 animals per train.

50,000 animals requires minimum 347 Road Trains & 1, 041 Trailers/ double deckers.

Never mind rustling the 50,000 animals.

RTA, Road Trains of Australia could not do this lift in one shot

road trains of australia photos https://g.co/kgs/F2akW2e


Bravo,

Hope you have several thousand hectares to put them on,
Otherwise the hay bill will be crippling.




*Many moons ago I witnessed the single biggest lift of cattle off a property in a single day , at that time in history.

Went up in the chopper & Road Trains , lined up ,litteraly went for kilometres down the driveway.

Truely a sight to have witnessed.

This wager could well be more exiting than watching BRN.

Regards,
Esq.



Noah to Esq.....

"Hold my beer"🍺

Morning Esq, a green day please.😁
 
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charles2

Regular
Timing is everything in investing.

With Brainchip I suspect most here had not recognized nor were prepared for the lengthy time it has taken this marvelous technology to convert to the heretofore elusive tech powerhouse.

That said recent developments have rekindled my optimism. I am less worried that I will succumb before Brainchip delivers more than just despair. And to better understand my particular viewpoint.... my 80th is this month.

So with the onrush of senility I purchased 1k shares of BCHPY (the ADR) just today.

Recognize me for my prescience later...or if more appropriate forget that I posted this......as I surely will.
 
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I think it's "always" a good time for an announcement, Gazdix! 😛

But with US markets now even healthier than ever and the US to continue to strengthen, they may just have their "Golden Age" which will bolster Western business in general.


We all know how hard and fast, BrainChip can move, when given a hard whip and sticking those spurs in, so sharpen them up!

This tough Stallion, is far from being sent to the glue factory, being processed into dog food, or "mislabeled" as prime cuts of aged beef!




(All analogies are for illustrative purposes only, I don't condone the use of pain to get results, although maybe that might work on Sean 🤔.. Or the consumption of dog food, unless you're Caninely inclined)...

🤔...
A friend of mine lost so much on BRN he had to eat dog food. That's all he could afford. He died 2 weeks ago. He was sitting in the middle of the road licking his balls and was hit by a truck.

SC
 
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cosors

👀
Evening Chippers ,

She's kicking off in 🇩🇪, above average € & Volume moving.


* Correction , low € & Volume , worth keeping an eye on ....



Regards,
Esq.
Hey Esq!


Use this:

Here you can find all German exchanges, the US OTC and the spread like quantity.

Cheers!
 
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CHIPS

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Germany ended the day with +9,99 % and a volume of 594.428 pcs 🥳
 
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schuey

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  3. Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration

Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration​

Single- and Dual-Core MCUs Combine Arm Cortex-M85 and M33 Cores with Arm Ethos-U55 NPU to Deliver Superior AI Performance up to 256 GOPs​


July 1, 2025

Renesas RA8P1 Ultra-High Performance MCU with Embedded NPU for Edge AI Applications

Renesas RA Family MCU Portfolio
  • Unprecedented 7300+ CoreMarks1 with Dual Arm CPU cores
  • TSMC 22ULL Process Delivers High Performance and Low Power Consumption
  • Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention
  • Dedicated Peripherals Optimized for Vision and Voice AI plus Real-Time Analytics
  • New AI Software Framework Eases Development and Enables Easy Migration with MPUs
  • Leading-Edge Security Features Ensure Data Privacy
TOKYO, Japan ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the RA8P1 microcontroller (MCU) Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics. The new MCUs establish a new performance level for MCUs by combining 1GHz Arm® Cortex®-M85 and 250MHz Cortex-M33 CPU cores with the Arm Ethos™-U55 Neural Processing Unit (NPU). This combination delivers the highest CPU performance of over 7300 CoreMarks and AI performance of 256 GOPS at 500 MHz.

Designed for Edge/Endpoint AI​

The RA8P1 is optimized for edge and endpoint AI applications, using the Ethos-U55 NPU to offload the CPU for compute intensive operations in Convolutional and Recurrent Neural Networks (CNNs and RNNs) to deliver up to 256 MACs per cycle that yield 256 GOPS performance at 500 MHz. The new NPU supports most commonly used networks, including DS-CNN, ResNet, Mobilenet TinyYolo and more. Depending on the neural network used, the Ethos-U55 provides up to 35x more inferences per second than the Cortex-M85 processor on its own.

Advanced Technology​

The RA8P1 MCUs are manufactured on the 22ULL (22nm ultra-low leakage) process from TSMC, enabling ultra-high performance with very low power consumption. This process also enables the use of embedded Magnetoresistive RAM (MRAM) in the new MCUs. MRAM offers faster write speeds along with higher endurance and retention compared with Flash.
“There is explosive growth in demand for high-performance edge AIoT applications. We are thrilled to introduce what we believe are the best MCUs to address this trend,” said Daryl Khoo, Vice President of Embedded Processing Marketing Division at Renesas. “The RA8P1 devices showcase our technology and market expertise and highlight the strong partnerships we have built across the industry. Customers are eager to employ these new MCUs in multiple AI applications.”
“The pace of innovation in the age of AI is faster than ever, and new edge use cases demand ever-improving performance and machine learning on-device,” said Paul Williamson, senior vice president and general manager, IoT Line of Business at Arm. “By building on the advanced AI capabilities of the Arm compute platform, Renesas’ RA8P1 MCUs meet the demands of next generation voice and vision applications, helping to scale intelligent, context-aware AI experiences.”
“It is gratifying to see Renesas harness the performance and reliability of TSMC 22ULL embedded MRAM technology to deliver outstanding results for its RA8P1 devices,” said Chien-Hsin Lee, Senior Director of Specialty Technology Business Development at TSMC. “As TSMC continues to advance our embedded non-volatile memory (eNVM) technologies, we look forward to strengthening our long-standing collaboration with Renesas to drive innovation in future groundbreaking devices.”

Robust, Optimized Peripheral Set for AI​

Renesas has integrated dedicated peripherals, ample memory and advanced security to address Voice and Vision AI and Real-time Analytics applications. For vision AI, a 16-bit camera interface (CEU) is included that supports sensors up to 5 megapixels, enabling camera and demanding Vision AI applications. A separate MIPI CSI-2 interface offers a low pin-count interface with two lanes, each up to 720Mbps. In addition, multiple audio interfaces including I2S and PDM support microphone inputs for voice AI applications.
The RA8P1 offers both on-chip and external memory options for efficient, low latency neural network processing. The MCU includes 2MB SRAM for storing intermediate activations or graphics framebuffers. 1MB of on-chip MRAM is also available for application code and storage of model weights or graphics assets. High-speed external memory interfaces are available for larger models. SIP options with 4 or 8 MB of external flash in a single package are also available for more demanding AI applications.

New RUHMI Framework​

Along with the RA8P1 MCUs, Renesas has introduced RUHMI (Renesas Unified Heterogenous Model Integration), a comprehensive framework for MCUs and MPUs. RUHMI offers efficient AI deployment of the latest neural network models in a framework agnostic manner. It enables model optimization, quantization, graph compilation and conversion, and generates efficient source code. RUHMI provides native support for machine-learning AI frameworks such as TensorFlow Lite, Pytorch & ONNX. It also provides the necessary tools, APIs, code-generator, and runtime needed to deploy a pre-trained neural network, including ready-to-use application examples and models optimized for RA8P1. RUHMI is integrated with Renesas’s own e2Studio IDE to allow seamless AI development. This integration will facilitate a common development platform for MCUs and MPUs.

Advanced Security Features​

The RA8P1 MCUs provide leading-edge security for critical applications. The new Renesas Security IP (RSIP-E50D) includes numerous cryptographic accelerators, including CHACHA20, Ed25519, NIST ECC curves up to 521 bits, enhanced RSA up to 4K, SHA2 and SHA3. In concert with Arm TrustZone®, this provides a comprehensive and fully integrated secure element-like functionality. The new MCUs also provides strong hardware Root-of-Trust and Secure Boot with First Stage Bootloader (FSBL) in immutable storage. XSPI interfaces with decryption-on-the-fly (DOTF) allow encrypted code images to be stored in external flash and decrypted on the fly as it is securely transferred to the MCU for execution.

Ready to Use Solutions​

Renesas provides a wide range of easy-to-use tools and solutions for the RA8P1 MCUs, including the Flexible Software Package (FSP), evaluation kits and development tools. FreeRTOS and Azure RTOS are supported, as is Zephyr. Several Renesas software example projects and application notes are available to enable faster time to market. In addition, numerous partner solutions are available to support development with the RA8P1 MCUs, including a driver monitoring solution from Nota.AI and a traffic/pedestrian monitoring solution from Irida Labs. Other solutions can be found at the Renesas RA Partner Ecosystem Solutions Page.

Key Features of the RA8P1 MCUs​

  • Processors: 1GHz Arm Cortex-M85, 500MHz Ethos-U55, 250 MHz Arm Cortex-M33 (Optional)
  • Memory: 1MB/512KB On-chip MRAM, 4MB/8MB External Flash SIP Options, 2MB SRAM fully ECC protected, 32KB I/D caches per core
  • Graphics Peripherals: Graphics LCD controller supporting resolutions up to WXGA (1280x800), parallel RGB and MIPI-DSI display interfaces, powerful 2D Drawing engine, parallel 16bit CEU and MIPI CSI-2 camera interfaces, 32bit external memory bus (SDRAM and CSC) interface
  • Other Peripherals: Gigabit Ethernet and TSN Switch, XSPI (Octal SPI) with XIP and DOTF, SPI, I2C/I3C, SDHI, USBFS/HS, CAN-FD, PDM and SSI audio interfaces, 16bit ADC with S/H circuits, DAC, comparators, temperature sensor, timers
  • Security: Advanced RSIP-E50D cryptographic engine, TrustZone, Immutable storage, secure boot, tamper resistance, DPA/SPA attack protection, secure debug, secure factory programming, Device Lifecycle management
  • Packages: 224BGA, 289BGA

Winning Combinations​

Renesas has combined the new RA8P1 MCUs with numerous compatible devices from its portfolio to offer a wide array of Winning Combinations, including Video Conferencing Camera with AI Capabilities, AI Drawing Robot Arm and AI-Enabled Surveillance Camera. These designs are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.

Availability​

The RA8P1 MCUs are available now. Renesas is also shipping an RA8P1 Evaluation Kit. More information is available at renesas.com/RA8P1. Samples and kits can be ordered either on the Renesas website or through distributors.

Renesas MCU Leadership​

A world leader in MCUs, Renesas ships more than 3.5 billion units per year, with approximately 50% of shipments serving the automotive industry, and the remainder supporting industrial and Internet of Things applications as well as data center and communications infrastructure. Renesas has the broadest portfolio of 8-, 16- and 32-bit devices, delivering unmatched quality and efficiency with exceptional performance. As a trusted supplier, Renesas has decades of experience designing smart, secure MCUs, backed by a dual-source production model, the industry’s most advanced MCU process technology and a vast network of more than 250 ecosystem partners. For more information about Renesas MCUs, visit renesas.com/MCUs.

About Renesas Electronics Corporation​

Renesas Electronics Corporation (TSE: 6723) empowers a safer, smarter and more sustainable future where technology helps make our lives easier. A leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at renesas.com. Follow us on LinkedIn, Facebook, X, YouTube, and Instagram.
1 EEMBC’s CoreMark® benchmark measures performance of MCUs and CPUs used in embedded systems.
(Remarks). All names of products or services mentioned in this press release are trademarks or registered trademarks of their respective owners.

The content in the press release, including, but not limited to, product prices and specifications, is based on the information as of the date indicated on the document, but may be subject to change without prior notice.

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Bravo

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

Elon Musk-Backed Neuralink and BrainChip Turn Sci-Fi Into Profit. You Can Buy BrainChip​


Annika Masrani
Annika MasraniJul 01, 2025, 09:45 PM
Neuralink is wiring computers into the human brain. BrainChip is wiring the brain’s logic into computers. They are building the same future from opposite directions. One is a moonshot in medicine. The other is a processor you can buy today.

Elon Musk-Backed Neuralink and BrainChip Turn Sci-Fi Into Profit. You Can Buy BrainChip


One company is connecting machines to human thought. The other is building machines that think like humans. Welcome to the brain-tech era, and yes, you can invest in part of it.


It sounds like the start of a movie, but it’s very real. While Neuralink is focused on creating interfaces that link the human brain directly to computers, BrainChip is designing processors that mimic the brain itself. One is surgically embedded into people. The other is being plugged into machines across defense, robotics, and edge computing. Together, they offer two sides of the same future, a future where intelligence is no longer bound by biology or silicon alone.


Neuralink Pushes Thought-Controlled Tech into Human Trials



Neuralink, founded by Elon Musk, is building brain–computer interfaces designed to let people control devices with pure thought. In early 2024, the company successfully implanted its device into a human patient. That patient was able to play online chess without using a keyboard, mouse, or controller, just brain activity.


The company’s short-term goal is to restore basic communication and motor control to people with paralysis. Musk has said Neuralink aims to give humans a way to keep pace with artificial intelligence. It is a mission that borders on transhumanism, but Neuralink is already conducting human trials and has FDA clearance.


Despite its media attention, Neuralink is not a public company. It is privately held, and unless you’re a venture capital fund or one of Musk’s inner circle, you’re not getting a piece of it, at least not yet.


BrainChip Builds Neuromorphic Chips That Mimic the Brain



If Neuralink wants to read your thoughts, BrainChip wants to think like them. BrainChip Holdings (AU:BRN) BRCHF +14.79% ▲ , listed on the Australian Securities Exchange under the ticker BRN, builds neuromorphic processors. These are chips designed to process information in the same way biological neurons do. The company’s flagship chip, called Akida, doesn’t just run AI models — it learns directly on the device. This allows machines to make decisions locally, instantly, and with very little power.


Unlike cloud-dependent systems that need massive servers and constant connectivity, Akida enables real-time intelligence on the edge. It is already being tested in radar systems, smart sensors, robotics, and surveillance equipment. Akida ships in a compact M.2 format, making it easy to integrate into real-world devices that need fast, efficient, on-site intelligence.


While BrainChip is still pre-revenue in many respects, and operating at a loss, it remains one of the only public companies purely focused on brain-inspired computing. Investors who want exposure to neuromorphic technology do not have many other options. Larger companies like Intel INTC +2.01% ▲ or IBM IBM -1.21% ▼ are exploring similar technologies, but BrainChip is one of the few focused entirely on the architecture of intelligence itself.



Two Companies Take Different Paths Toward the Same Goal



Neuralink and BrainChip are working toward the same long-term goal. One is trying to bring computers closer to the brain. The other is bringing the brain’s function into computers. Neuralink is medical, invasive, and currently reserved for extreme use cases. BrainChip is commercial, software-driven, and already in field testing.


Both companies are part of a broader shift, a world in which intelligence is not exclusive to living organisms, and cognition itself becomes programmable. This may not be the full sci-fi reality of uploading consciousness, but it is clearly the first step.


BrainChip Offers Public Investors a Direct Play on Sci-Fi Tech



Neuralink may be the more provocative story, but it is off-limits to retail investors. BrainChip, by contrast, is trading on the open market. While it is not without risk, and certainly not profitable yet, it offers a rare entry point into a technology sector that is years ahead of the mainstream.


BrainChip is not marketing fantasy. Its processors are being deployed in real scenarios, including defense and industrial use cases. If the neuromorphic field matures, and BrainChip manages to land significant design wins, its stock could reprice dramatically. For now, it remains a speculative but pure exposure to the silicon side of brain-tech.


Is BrainChip a Buy?



Investors considering BrainChip should note that while the company is building ambitious, sci-fi-grade technology, the fundamentals are still catching up. TipRanks’ AI Stock Analysis tool gives BrainChip Holdings a rating of 39 and labels it Underperform. This score is driven by persistent losses, negative cash flow, and a bearish technical outlook, compounded by a negative P/E ratio.


While no traditional Wall Street analysts currently cover BrainChip, TipRanks offers an AI-generated Stock Analysis tool, making it one of the few tools providing insight into emerging, thinly-covered tech plays like this one. The AI model highlights significant valuation risk and weak momentum, information retail investors should weigh against the company’s long-term narrative.



 
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manny100

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BrainChip’s biggest edge? It’s not just building chips and TENN's—it’s building a full-stack Edge AI platform that’s ready for deployment today.
We need to maintain our leadership position.
We used to see a comparison table as a slide in presentations showing us clearly as superior.
I guess now we just have to ask AI for a comparison against rivals.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Screenshot 2025-07-01 at 12.19.05 pm.png





Ooooh...I wonder if CNRT will come to NASA's rescue?

As we all know, the CyberNeuro-RT (CNRT) product, developed by Quantum Ventura in collaboration with Lockheed Martin and Pennsylvania State University, it is an AI/ML-driven, real-time network defense cybersecurity solution. CNRT utilizes BrainChip's Akida processor.

Lockheed Martin also has substantial involvement in NASA's programs.

Regarding the development of cybersecurity solutions for NASA's space systems, while specific collaborations between Lockheed Martin and NASA on cybersecurity are not publicly detailed, Lockheed Martin's emphasis on cybersecurity in its space division suggests a focus on protecting space infrastructure. Maria Demaree, a Lockheed Martin executive, has highlighted the importance of cybersecurity in space systems, indicating the company's commitment to this area (see article below).

Both Lockheed Martin and NASA are partners of BrainChip, so it's quite plausible IMO that NASA could consider deploying CNRT to enhance cybersecurity in their space systems in future, assuming a product hits the market soon.


 
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