BRN Discussion Ongoing
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Pom down under
Top 20
Put another zero on and it could be up 60%
You silly!
You know what you did wrong? He told me not to check my account for two weeks ...
Frangipani
Top 20
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”.
ESA Technology 2040 is not just a roadmap – it is a call to action. | Josef Aschbacher
ESA Technology 2040 is not just a roadmap – it is a call to action. The document defines an integrated tech stack that keeps supply‑chains sovereign, scales through serialisation and modularity, and locks in European leadership from LEO to deep space. By 2040, we envision a resilient European...www.linkedin.com
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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
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...
www.esa.int
Help ESA redefine the future of space computing
30/06/2025208 VIEWS10 LIKESESA / 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 integrationThe 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:
“Ideas shall not violate the laws of physics” -
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
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...www.esa.int
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
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:
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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:
🌍 From Earth observation to Earth action, the European Space Agency - ESA is seeking mission concepts that redefine space computing and build Europe’s capability in sustainability and remote sensing. | ESA Technology
🌍 From Earth observation to Earth action, the European Space Agency - ESA is seeking mission concepts that redefine space computing and build Europe’s capability in sustainability and remote sensing. Current Earth observation satellites are limited in terms of speed, efficiency and energy...
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.
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.
CHIPS
Regular
What is this? Can somebody explain, please? It is today's ASX Ann.
There are 3 more from the last three days.
www.finanznachrichten.de
There are 3 more from the last three days.
BRAINCHIP AKTIEN News | A14Z7W Nachrichten
News zur BRAINCHIP AKTIE ✓ und aktueller Realtime-Aktienkurs ✓ Brainchip puts Akida 2 into the cloud
BrainChip and HaiLa Partner to Demonstrate Ultra-Low Power Edge AI Connectivity for IoT Sensor Applications - AI Chips News
BrainChip and HaiLa Partner to Demonstrate Ultra-Low Power Edge AI Connectivity for IoT Sensor Applications Partnership Reflects
aichipsnews.com
FJ-215
Regular
Last weeks news???BrainChip and HaiLa Partner to Demonstrate Ultra-Low Power Edge AI Connectivity for IoT Sensor Applications - AI Chips News
BrainChip and HaiLa Partner to Demonstrate Ultra-Low Power Edge AI Connectivity for IoT Sensor Applications Partnership Reflects
FJ-215
Regular
Last edited:
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.
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.
Last edited:
Space Cadet
Regular
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.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)...
SC
cosors
👀
Hey Esq!Evening Chippers ,
She's kicking off in, above average € & Volume moving.
* Correction , low € & Volume , worth keeping an eye on ....
Regards,
Esq.
Use this:
Alle BrainChip Holdings Aktienkurse • onvista
Aktuelle Aktienkurse aller Handelsplätze zur BrainChip Holdings Aktie • A14Z7W • AU000000BRN8 ✓ Times & Sales ► Alle wichtigen Infos für den Handel.
Here you can find all German exchanges, the US OTC and the spread like quantity.
Cheers!
Skip to main content
July 1, 2025
Renesas RA8P1 Ultra-High Performance MCU with Embedded NPU for Edge AI Applications
Renesas RA Family MCU Portfolio
“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.”
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.
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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- 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
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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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 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.
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.
Elon Musk-Backed Neuralink and BrainChip Turn Sci-Fi Into Profit. You Can Buy BrainChip - TipRanks.com
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 i...
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.
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.
Bravo
If ARM was an arm, BRN would be its biceps💪!
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.
Lockheed Martin's Maria Demaree Discusses How Company is Ensuring Space Systems Cybersecurity
Lockheed Martin's Maria Demaree said in a recent column that the company has worked to make cybersecurity part of daily operations to secure its networks, spacecraft and personnel
www.executivebiz.com
NASA's Cybersecurity Gets a Wake-up Call from GAO: What You Need to Know
The Government Accountability Office (GAO) has spotlighted serious cybersecurity vulnerabilities in NASA's systems. A review showed the absence of key security measures in two major projects, prompting 16 recommendations for improvement. With the growing threat to space systems, NASA's response...
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smoothsailing18
Regular
This is great newsElon Musk-Backed Neuralink and BrainChip Turn Sci-Fi Into Profit. You Can Buy BrainChip
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.
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
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