BRN Discussion Ongoing

DK6161 said:

It's already at ugly level. The correct term is uglier

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Rach2512 said:

I wonder how many of us are from AZK days? Count me in.

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Count me in that as well, been bolted on every since lol

...if I only could read between the lines.....


.....

"STMicroelectronics powers up next-generation digital access control with Aliro-compliant wireless and secure technologies​

Feb 27, 2026

• As a member of the Connectivity Standards Alliance Aliro Working Group, ST contributed expertise and helped shape the new industry standard for smartphones, wearables, and reader devices to unlock doors and openings
• Aliro 1.0 unlocks a truly scalable smart-access market by replacing today’s proprietary, vendor-specific solutions with a fully standardized, interoperable platform that any ecosystem player can adopt and build upon"
  

....
“We are ready to give device makers everything they need to build Aliro-compliant products. ST offers the complete portfolio of connectivity and security solutions to support all three Aliro configurations, from NFC-only to NFC + Bluetooth® Low Energy up to NFC + Bluetooth® LE + UWB for hands-free access,” said Luca Verre, Group Vice President, Microcontrollers, Digital ICs and RF products Group Strategy, STMicroelectronics. “With our Aliro technology expertise, long-term solution availability and decades of experience in security and connectivity, we enable customers to accelerate development and confidently bring next-generation access solutions to market.”

Opinion article penned by Laurent Hili, two of his colleagues at the European Space Agency - Gianluca Furano and Livia Manovi - as well as Jean Vieville, director of channel and OEM sales, EMEA for Axelera AI (https://axelera.ai/):

“But to truly unlock the transformative potential of AI in space, we must move beyond innovation in isolation. It’s time for AI hardware developers and space agencies to forge deeper partnerships — co-designing, testing, validating and de-risking silicon solutions that can thrive in the harshest environments known to science.”







Opinion

Unlocking AI in space: the case for greater industry and space agency collaboration​

by Laurent Hili, Gianluca Furano, Livia Manovi and Jean Vieville
March 5, 2026

Illustration of an Earth observation satellite. Credit: Earth Observation And Climate Information Consortium

For decades, space has served as humanity’s most demanding testing laboratory, where only the most resilient technologies survive the vacuum, radiation and temperature extremes beyond Earth’s protective embrace. Today, we stand at an inflection point where artificial intelligence is poised to fundamentally transform how we explore, understand and operate in space. But making AI-powered space exploration a reality will depend on a cooperative ecosystem of hardware providers and space exploration agencies working together to develop, evaluate and de-risk space-rated solutions.

The opportunity is vast. From Earth observation satellites that must process terabytes of sensor data in real-time to Mars rovers making split-second navigation decisions millions of miles from human oversight, AI promises to unlock unprecedented autonomous capabilities across the space domain. Realizing this vision demands more than sophisticated algorithms. It requires hardware engineered to withstand the universe’s most unforgiving environments, where a single component failure can jeopardize a billion-euro mission.

Each phase of space exploration, from launch to deep space operations, presents distinct challenges that AI can uniquely address, including:

• Faster interpretation of image and sensor data: For planetary exploration and Earth observation — including weather and climate monitoring, as well as disaster response — edge-optimized AI could enable orbiting satellites to process, analyze and interpret high-resolution images and other data locally. They could then determine which data is the highest priority for transmission back to Earth. This would reduce the need to transmit large volumes of raw data and optimize the usage of limited communications bandwidth, while potentially improving the response time on Earth for weather emergencies or other disasters.
• Real-time autonomy and navigation: Constrained bandwidth and the delays in round-trip communication across the vast distances of space are major challenges for vehicle control and guidance, particularly when the unexpected occurs. Real-time AI inference could significantly improve the capabilities of space vehicles to maneuver independently, allowing them to avoid collisions or conduct autonomous docking operations (an increasingly important need as orbital space becomes more crowded with vehicles and debris). On-vehicle AI inference could also give planetary rovers the ability to detect and avoid objects in their path without ground control intervention.
• Vehicle health monitoring: AI could also be used to monitor onboard systems and predict potential failures well before a threshold is triggered. This could improve overall vehicle reliability, lifetime and performance.

Yet, between these promising applications and their widespread deployment lies a significant engineering challenge. The same environment that makes space the ultimate proving ground for technology also creates formidable obstacles for the AI hardware vendors and space agencies tasked with making these systems space-ready.

Unlike terrestrial data centers where processors operate in climate-controlled environments with redundant power supplies and human oversight, space-based AI hardware must function autonomously for years or even decades without maintenance or repair. The failure of a single stack of components during a mission cannot be resolved with a simple replacement. Even though space vehicles are designed for reliability — with double or even triple redundancy for critical systems — non-critical systems aren’t always as robust. A space science mission that relies on AI hardware that fails could compromise billions of euros in investment and years of scientific research.

This reality forces hardware designers to reconsider fundamental assumptions about processor architecture, manufacturing processes and system design. Traditional commercial AI chips optimized for maximum performance-per-watt must be reimagined for an environment where longevity, fault tolerance and radiation hardening take precedence over raw computational speed. The challenges are as diverse as they are demanding:

• Compute throughput: While some applications can be run effectively on lower-end hardware, demanding AI applications — such as real-time image processing — require high performance and compute throughput. AI chips will need to be more than just small and power-efficient; they will need enough processing power to run multi-modal models effectively. Furthermore, applications that depend on large models (such as Earth observation), even with quantization to reduce their size, can still require large numbers of parallel operations. More compute throughput means the hardware can handle more data or run inference faster, but engineers must also account for memory bandwidth, latency and power efficiency, which all impact performance.

• Power and size constraints: Power efficiency is a key requirement for onboard systems. AI accelerators for space missions must therefore combine high performance with low power consumption. They might also employ additional power-efficiency methods, including duty cycling (powering down or idling the entire chip when not in use) and power gating (cutting off power to parts of the chip not being used). Interestingly, these strategies could also reduce the potential for radiation-induced errors.

• Environmental conditions: The space environment can be both extremely cold and extremely hot. It also involves exposure to high levels of cosmic radiation, which could potentially induce errors in semiconductors, such as single-event upsets (memory bit flips) or, even worse, single-event latchups (which are destructive). Furthermore, the failure modes of these advanced AI chips are vastly more complex than those of classic processors. Because they rely on massively parallel architectures, a radiation-induced error might not cause a simple system crash; instead, it could result in silent data corruption, degraded inferences, or subtle but critical misclassifications. Understanding and mitigating these intricate failure mechanisms requires thorough investigation and specialized testing protocols far beyond standard validation. AI devices will have to deploy mitigation techniques to lower the risk of service outages, especially when targeting safety-critical applications like autonomous landing or docking.

• Supply resilience and long-term availability: For space missions, the reliability of the hardware supply chain is as critical as the performance of the technology itself. Components must remain available and supported over extended lifecycles, often far beyond typical commercial timelines. Crucially, this required longevity extends beyond just the physical hardware; it mandates sustained software support. The complex software stacks, drivers and development tools required to run AI models on specialized silicon must be maintained and updated over missions spanning years or decades. AI hardware selected for space applications should therefore come from suppliers with clear product roadmaps, robust sourcing strategies and measures to mitigate obsolescence. Ensuring resilience and continuity in the supply chain reduces mission risk and guarantees that advanced computing solutions can be maintained and scaled throughout the duration of space programs.

None of these challenges is insurmountable. But to truly unlock the transformative potential of AI in space, we must move beyond innovation in isolation. It’s time for AI hardware developers and space agencies to forge deeper partnerships — co-designing, testing, validating and de-risking silicon solutions that can thrive in the harshest environments known to science.
The blistering pace of AI innovation is largely being driven by companies, often startups, that are developing solutions for commercial applications not optimized for deployment in the space environment. However, agencies such as the European Space Agency have extensive experience in radiation characterization and mitigation techniques that can be advantageously made available to support these startups.

With AI increasingly seen as a strategic asset for nations, investing in European homegrown AI technologies for space applications offers a strong medium- to long-term return on investment. Public-private partnerships are the key to fostering the development of future AI-powered missions.


Laurent Hili is a microelectronics and data handling engineer at the European Space Agency.
Gianluca Furano is a data systems engineer at the European Space Agency.
Livia Manovi is a research fellow at the European Space Agency.
Jean Vieville is director of channel and OEM sales, EMEA for Axelera AI.

stockduck said:

STMicroelectronics powers up next-generation digital access control with Aliro-compliant wireless and secure technologies - ST News

STMicroelectronics has revealed its contribution to accelerating widespread availability of secure, interoperable access-control technology to unlock...

newsroom.st.com

...if I only could read between the lines.....


.....

"STMicroelectronics powers up next-generation digital access control with Aliro-compliant wireless and secure technologies​

Feb 27, 2026

• As a member of the Connectivity Standards Alliance Aliro Working Group, ST contributed expertise and helped shape the new industry standard for smartphones, wearables, and reader devices to unlock doors and openings
• Aliro 1.0 unlocks a truly scalable smart-access market by replacing today’s proprietary, vendor-specific solutions with a fully standardized, interoperable platform that any ecosystem player can adopt and build upon"

....
“We are ready to give device makers everything they need to build Aliro-compliant products. ST offers the complete portfolio of connectivity and security solutions to support all three Aliro configurations, from NFC-only to NFC + Bluetooth® Low Energy up to NFC + Bluetooth® LE + UWB for hands-free access,” said Luca Verre, Group Vice President, Microcontrollers, Digital ICs and RF products Group Strategy, STMicroelectronics. “With our Aliro technology expertise, long-term solution availability and decades of experience in security and connectivity, we enable customers to accelerate development and confidently bring next-generation access solutions to market.”

Click to expand...

...
"Based on the Arm Cortex®-M33 core featuring TrustZone® technology, the STM32WBA series is an ultra-low power platform that extends battery life and provides a high level of security to protect data and IP while complying with regulations."
....

stockduck said:

STMicroelectronics powers up next-generation digital access control with Aliro-compliant wireless and secure technologies - ST News

STMicroelectronics has revealed its contribution to accelerating widespread availability of secure, interoperable access-control technology to unlock...

newsroom.st.com

...if I only could read between the lines.....


.....

"STMicroelectronics powers up next-generation digital access control with Aliro-compliant wireless and secure technologies​

Feb 27, 2026

• As a member of the Connectivity Standards Alliance Aliro Working Group, ST contributed expertise and helped shape the new industry standard for smartphones, wearables, and reader devices to unlock doors and openings
• Aliro 1.0 unlocks a truly scalable smart-access market by replacing today’s proprietary, vendor-specific solutions with a fully standardized, interoperable platform that any ecosystem player can adopt and build upon"

....
“We are ready to give device makers everything they need to build Aliro-compliant products. ST offers the complete portfolio of connectivity and security solutions to support all three Aliro configurations, from NFC-only to NFC + Bluetooth® Low Energy up to NFC + Bluetooth® LE + UWB for hands-free access,” said Luca Verre, Group Vice President, Microcontrollers, Digital ICs and RF products Group Strategy, STMicroelectronics. “With our Aliro technology expertise, long-term solution availability and decades of experience in security and connectivity, we enable customers to accelerate development and confidently bring next-generation access solutions to market.”

Click to expand...

Is this a new product?


"onsemi AR0521"

Sotherbys01 said:

Geriatric AZK holder here with contrarian habits..... just bought another tranche @ .145
I have kept buying because of the IP as thats where the majority of the company has its worth. I do like the Akidatag though
DYOR

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I've been muckin' 'round with shares the last few days, and now I've more than ever.

“Neuromorphic Computing for Long-Term Cardiac Health: A Review of Spiking Neural Networks in Low-Power Wearable Electronics” by Sadiq Alinsai, College of Computer Science and Engineering, University of Hafr Al Batin, Saudi Arabia.

Akida gets listed alongside other neuromorphic processors (which do, however, get more mentions throughout the paper) in this long technical review - there was no actual deployment on neuromorphic hardware.

“SNNs provide a definitive pathway toward approaching clinically useful screening performance for arrhythmia detection within the highly constrained power budgets of edge-based IoT devices.”





[…]



[…]

smoothsailing18 said:

I think your right as many designers will be looking at this with great interest for their next big thing. I see several large deals coming out of this over the next year.

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Like you and many others here I am getting great vibes all BRN Akida at the moment.

Most exciting progress for a looooooonnngg time!

Happy Friday all


Cheers

Good Luck

cosors said:

I've been muckin' 'round with shares the last few days, and now I've more than ever.

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Same as you cosors


Very much looking forward to having a dip .........Sooooon!!

HopalongPetrovski said:

Rare archival footage of PVDM in his early, butch days, working on his first Akida chip prototypes.

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I can’t believe I actually watched that entire video from start to finish.

I’ll never get those precious minutes of my life back… and I’m still not entirely sure what I just learned.

Frangipani said:

“Neuromorphic Computing for Long-Term Cardiac Health: A Review of Spiking Neural Networks in Low-Power Wearable Electronics” by Sadiq Alinsai, College of Computer Science and Engineering, University of Hafr Al Batin, Saudi Arabia.

Akida gets listed alongside other neuromorphic processors (which do, however, get more mentions throughout the paper) in this long technical review - there was no actual deployment on neuromorphic hardware.

“SNNs provide a definitive pathway toward approaching clinically useful screening performance for arrhythmia detection within the highly constrained power budgets of edge-based IoT devices.”

https://www.mdpi.com/2079-9292/15/6/1179/pdf

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Thanks Frangipani, the comparison table at page 22 describes AKIDA as the only commercial alternative ATM.

Ironically the safest/quickest way to clear the Straight Of Hormuz for oil Tankers would likely be to deploy the Hive Mind that Kevin Johnson built in 5 days.
Kevin would drop 1000's of bouys with AKIDA sensors in the Straight for real time response to threats.
Real time response for sea and air drones plus mine detection.
The sensors 'act as one'.
Its pretty well a sure bet that Kevin's 'Hive Mind' will in one way or another be a part of the US Dome early warning system for land, sea, air and space. Then there is the security systems for 'secure' defense facilities and cybersecurity.
Bringing it back home Kevin's ' Hive Mind' would be great for Shark detection at our popular swimming beaches at low cost. They could also advise of a change in safety 'water' conditions potentially dangerous to swimmers and boating.
10000's deployed on our roads could warn us of traffic issues/incidents ahead on our chosen GPS route.
The Hive Mind potential is endless.

JoMo68 said:

I just hope we don’t have to sell our soul…. Anthropic comes to mind…

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I agree JoMo,

I think the situation between the US govt and Anthropic is something BrainChip shareholders should be aware of.

From what I understand, Anthropic has reportedly fallen out of favour with the US Department of War after refusing to allow its technology to be utilised (without additional permissions) for certain applications, particularly large-scale facial recognition, surveillance and autonomous weapons. Anthropic argued that the proposed use extended beyond the original scope of the agreement and raised ethical and safety concerns, especially around certain autonomous and lethal military applications.

The US government’s position seems to be that decisions about national security use cases should ultimately rest with the state, whereas Anthropic argues that companies should retain some control over how their technologies are deployed.

The Pentagon has punished Anthopic for it's views on AI safety in warfare by blacklisting it and labelling it a "supply chain risk", effectively restricting other defense contractors from using it's Claude AI models and Anthropic, as a result, has sued the US government, calling the ban unlawful retaliation and arguing it threatens billions of dollars in revenue

What makes this situation quite unusual is that the US govt has taken action against foreign technology providers in the past over national security concerns, but it’s extremely rare to see such a public dispute with a domestic AI company.

Advanced AI technologies are becoming strategically important in areas such as electronic warfare, surveillance, and defense systems and that creates a grey area where governments may feel compelled to assert stronger control over technologies they consider critical.

This is potentially relevant to BrainChip IMO because its neuromorphic processors are being explored in some similarly sensitive defense and intelligence-related applications.

Bravo said:

I agree JoMo,

I think the situation between the US govt and Anthropic is something BrainChip shareholders should be aware of.

From what I understand, Anthropic has reportedly fallen out of favour with the US Department of War after refusing to allow its technology to be utilised (without additional permissions) for certain applications, particularly large-scale facial recognition, surveillance and autonomous weapons. Anthropic argued that the proposed use extended beyond the original scope of the agreement and raised ethical and safety concerns, especially around certain autonomous and lethal military applications.

The US government’s position seems to be that decisions about national security use cases should ultimately rest with the state, whereas Anthropic argues that companies should retain some control over how their technologies are deployed.

The Pentagon has punished Anthopic for it's views on AI safety in warfare by blacklisting it and labelling it a "supply chain risk", effectively restricting other defense contractors from using it's Claude AI models and Anthropic, as a result, has sued the US government, calling the ban unlawful retaliation and arguing it threatens billions of dollars in revenue

What makes this situation quite unusual is that the US govt has taken action against foreign technology providers in the past over national security concerns, but it’s extremely rare to see such a public dispute with a domestic AI company.

Advanced AI technologies are becoming strategically important in areas such as electronic warfare, surveillance, and defense systems and that creates a grey area where governments may feel compelled to assert stronger control over technologies they consider critical.

This is potentially relevant to BrainChip IMO because its neuromorphic processors are being explored in some similarly sensitive defense and intelligence-related applications.

Click to expand...

Cars, trucks and even planes get used to mow people down and kamikaze attack.
Remove firearms and people hack at each other with knives and machetes.
Remove those, and people will use hammers and screwdrivers.
If necessary, people will chip and flake rock to more lethally attack others.

Like you can't legislate away stupid, the same applies to greed and hate.
It's hardwired into our hybrid lizard/monkey brains.

One of the original things that attracted me to BrainChip was the founders wish that the tech he was birthing into the world would be used for beneficent purpose's.
But I doubt he has/had any ignorant illusions that it will not also be used for war.
Whilst we may wish otherwise, neither should we.

Klepsydra Technologies and BrainChip Announce Strategic Partnership for Heterogeneous AI Runtime for Akida™ Processors - The Desert Sun



Extract :- “



Klepsydra Technologies and BrainChip Announce Strategic Partnership for Heterogeneous AI Runtime for Akida™ Processors

Distributed by EIN Presswire

Brainchip Limited Holding Co (ASX:BRN)

“BrainChip’s Akida is the ideal neuromorphic partner in delivering the ‘performance layer’ that allows engineers to focus on building intelligent systems rather than fighting performance bottlenecks”.”

— Mike Carey, President of Klepsydra North America.

LAGUNA HILLS, CA, UNITED STATES, March 12, 2026 /EINPresswire.com/ — Klepsydra Technologies, a leader in high-performance edge computing software, and BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, event-based neuromorphic AI IP, today announced a strategic partnership to develop a revolutionary heterogeneous run-time environment for the BrainChip Akida™ processor family.

The collaboration integrates Klepsydra’s efficient software framework—capable of processing up to 10x more data with 50% less power consumption—directly with BrainChip’s Akida neuromorphic architecture. This partnership addresses a critical challenge in edge AI: the seamless orchestration of tasks between traditional CPUs and specialized neuromorphic accelerators.

Redefining Edge Performance through Heterogeneity
By utilizing Klepsydra’s proprietary approach, the new runtime will allow developers to offload compute-heavy AI layers to the Akida accelerator while maintaining high-speed synchronization with host processors like ARM, RISC-V, and x86. This “heterogeneous” approach ensures that mission-critical systems in space, defense, and automotive sectors can achieve breakthrough performance without the need for increased hardware complexity.

“The synergy between Klepsydra’s high-performance orchestration and Akida’s event-based processing creates a power-efficient powerhouse for the edge,” said Steven Brightfield, Chief Marketing Officer at BrainChip. “This partnership provides our customers with a unified, space-ready API that simplifies the deployment of complex AI models in a heterogeneous compute for the most demanding requirements”.

Gazzafish said:

Klepsydra Technologies and BrainChip Announce Strategic Partnership for Heterogeneous AI Runtime for Akida™ Processors - The Desert Sun



Extract :- “



Klepsydra Technologies and BrainChip Announce Strategic Partnership for Heterogeneous AI Runtime for Akida™ Processors

Distributed by EIN Presswire

Brainchip Limited Holding Co (ASX:BRN)

“BrainChip’s Akida is the ideal neuromorphic partner in delivering the ‘performance layer’ that allows engineers to focus on building intelligent systems rather than fighting performance bottlenecks”.”

— Mike Carey, President of Klepsydra North America.

LAGUNA HILLS, CA, UNITED STATES, March 12, 2026 /EINPresswire.com/ — Klepsydra Technologies, a leader in high-performance edge computing software, and BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, event-based neuromorphic AI IP, today announced a strategic partnership to develop a revolutionary heterogeneous run-time environment for the BrainChip Akida™ processor family.

The collaboration integrates Klepsydra’s efficient software framework—capable of processing up to 10x more data with 50% less power consumption—directly with BrainChip’s Akida neuromorphic architecture. This partnership addresses a critical challenge in edge AI: the seamless orchestration of tasks between traditional CPUs and specialized neuromorphic accelerators.

Redefining Edge Performance through Heterogeneity
By utilizing Klepsydra’s proprietary approach, the new runtime will allow developers to offload compute-heavy AI layers to the Akida accelerator while maintaining high-speed synchronization with host processors like ARM, RISC-V, and x86. This “heterogeneous” approach ensures that mission-critical systems in space, defense, and automotive sectors can achieve breakthrough performance without the need for increased hardware complexity.

“The synergy between Klepsydra’s high-performance orchestration and Akida’s event-based processing creates a power-efficient powerhouse for the edge,” said Steven Brightfield, Chief Marketing Officer at BrainChip. “This partnership provides our customers with a unified, space-ready API that simplifies the deployment of complex AI models in a heterogeneous compute for the most demanding requirements”.

Click to expand...

Key Benefits of the Partnership:
• 10x Performance Boost: Enables edge devices to process significantly higher data volumes using existing space-grade processors.
• Space-Ready Reliability: The joint solution complies with ECSS safety standards and features high-level cybersecurity protection, including algorithm encryption.
• Hardware Agnostic Integration: Supports a broad compatibility matrix including Ubuntu, RTEMS6, and VxWorks.
• Reduced Development Risk: Provides a “plug-and-play” foundation for rapid deployment of AI tailored to specific mission needs.
The integrated solution is expected to be available for targeting applications in autonomous navigation, predictive maintenance, and real-time signal analysis. Early-access partners in Q3 2026.

“BrainChip’s Akida is the ideal neuromorphic partner in delivering the ‘performance layer’ that allows engineers to focus on building intelligent systems rather than fighting performance bottlenecks”.”
— Mike Carey, President of Klepsydra North America.


Happy as Larry

I cant believe a share hasnt had a run in 2 years