BRN Discussion Ongoing

[Pom down under]

Still a guessing game when it comes to Nanose but at least we know it will be another 2 years until a device is released with or without our technology

 

[Frangipani]

https://www.businesswire.com/news/home/20260318799971/en/ForwardEdge-ASIC-Selects-BrainChips-Neuromorphic-Computing-for-Future-ASICs

Mar 18, 2026 9:00 AM Eastern Daylight Time

ForwardEdge ASIC Selects BrainChip’s Neuromorphic Computing for Future ASICs​

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First Step in a Strategic Collaboration for Cognitive Sensing Solutions in RF and Signal Processing

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading developer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced a strategic collaboration with ForwardEdge ASIC, a wholly owned subsidiary of Lockheed Martin (NYSE: LMT) specializing in advanced ASIC architecture and microelectronics development.



Together, the companies are combining best-in-class AI technology with deep ASIC and system integration expertise to deliver differentiated edge-processing solutions for demanding aerospace, defense, and advanced technology markets.

A Strategic Collaboration for Intelligent Edge Systems
This collaboration brings together BrainChip’s leadership in neuromorphic AI architecture and ForwardEdge ASIC’s strengths in custom silicon development, heterogeneous integration, and advanced RF systems. The collaboration is focused on tightly coupling AI acceleration with signal processing and RF compute to enable high-performance, low-latency intelligence at the edge.
By embedding BrainChip’s neuromorphic AI engines directly into ForwardEdge ASIC’s architectures, the companies are enabling cognitive processing closer to the sensor—reducing data movement, lowering power consumption, and enabling autonomous operation in complex operational environments.

“ForwardEdge ASIC is focused on architecting and delivering highly integrated silicon solutions that leverage the most advanced technologies available,” said Bill Jenkins, CRO at ForwardEdge ASIC. “BrainChip’s Akida architecture is a strong complement to our ASIC and RF platforms, allowing us to integrate dedicated AI acceleration directly into the silicon. This collaboration enables us to deliver scalable, high-performance low-latency edge solutions that push intelligence closer to the point of sensing.”

Enabling a New Class of Cognitive Sensing Solutions
The joint solution leverages a heterogeneous architecture that combines custom ASIC processing, RF signal chains, and neuromorphic AI acceleration to deliver efficient, real-time detection and classification. Key capabilities include:

• Cognitive RF and Signal Processing: Real-time classification of complex signals with adaptive, AI-driven processing.
• Scalable ASIC Platforms: Architectures designed for reuse across multiple programs and deployment environments.
• Efficient Edge Intelligence: Ultra-low-power AI processing optimized for latency-sensitive and resource-constrained systems.

This collaboration allows both companies to accelerate innovation while reducing integration risk for customers seeking production-ready edge AI solutions.
“ForwardEdge ASIC brings deep system-level design and integration expertise that is essential for deploying neuromorphic AI in real-world applications,” said Steven Brightfield, CMO at BrainChip. “This collaboration demonstrates how BrainChip’s AI technology can be tightly integrated into advanced ASIC and RF platforms to deliver powerful, efficient intelligence at the edge.”

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip’s Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. Explore more at www.brainchip.com. Follow BrainChip on Twitter or LinkedIn.

About Forward Edge Forward Edge is focused on developing advanced microelectronics and edge processing solutions for leading edge commercial applications and next-generation defense capabilities. Explore more at www.forwardedgeasic.com.

Contacts​

BrainChip Media Contact:
Madeline Coe
prforbrainchip@bospar.com
224-433-9056
BrainChip Investor Contact:
ir@brainchip.com

16.03.2026

ForwardEdge ASIC Selects BrainChip’s Neuromorphic Computing for Future ASICs

Together, the companies are combining best-in-class AI technology with deep ASIC and system integration expertise to deliver differentiated edge-processing...

semiiphub.com

Strong move by ForwardEdge and BrainChip. Neuromorphic approaches are a natural fit for RF and edge sensing, where power and latency constraints dominate. Tightly integrating these architectures into… | Dr. Steve Harbour, PhD

Strong move by ForwardEdge and BrainChip. Neuromorphic approaches are a natural fit for RF and edge sensing, where power and latency constraints dominate. Tightly integrating these architectures into ASIC design flows is an important step toward pushing intelligence closer to the sensor and...

www.linkedin.com

 

[Frangipani]

EDGE AI FOUNDATION Launches First-of-Its-Kind Working Group to Advance Mission-Critical AI Capabilities for Defense and Government Operations - EDGE AI FOUNDATION

<p>Defense Working Group brings together major industry leaders to address policy and technical challenges of edge AI deployment across land, sea, air, and space</p>

www.edgeaifoundation.org

EDGE AI FOUNDATION Launches First-of-Its-Kind Working Group to Advance Mission-Critical AI Capabilities for Defense and Government Operations

SAN DIEGO, Feb. 18, 2026 /PRNewswire/ — The EDGE AI FOUNDATION today announced the formation of its Defense Working Group, a strategic initiative designed to elevate the role of artificial intelligence at the edge in national security operations.

Chaired by Sek Chai, CTO and co-founder of Latent AI, the working group brings together both leading technology companies and innovative startups to tackle the unique engineering and policy challenges of implementing AI at the point of data collection—essential for government operations in remote or bandwidth-constrained environments. From ensuring reliable operations without external systems to scaling autonomy to customization in complex set ups, the founding members of the working group – including representatives from Qualcomm, Wind River, Dell Technologies, Syntiant, Expanso, and Embedl – will tackle complex challenges and support solution-creation as an industry.

“Deployment of edge AI is a fundamental shift in how defense and government agencies can leverage artificial intelligence in complex and high-pressure environments,” said Sek Chai. “This working group will bring the brightest minds together, all working on improving the processing of data at the tactical edge rather than relying on cloud connectivity, thus enabling faster decision-making and enhanced security for our service members across all branches of the military.”

The Defense Working Group will focus on two primary objectives: 1) collaborate to accelerate the technical ecosystem challenges unique to mission-critical applications and 2) raise awareness of edge AI capabilities within defense policy circles worldwide. While initially focused on U.S. defense needs, the Working Group’s framework is designed to support NATO and other aligned nations facing similar operational requirements.

The team will also be holding the first EDGE AI Defense Symposium on May 27, 2026 in conjunction with Johns Hopkins University in Washington, DC at their campus to focus on these critical objectives with key policy makers and technology industry leadership.

EDGE AI SAN DIEGO 2026 Conference

The EDGE AI FOUNDATION will finalize and prioritize the Defense Working Group initial task list related to the key objectives list at EDGE AI SAN DIEGO taking place March 24-26, 2026. The conference is the premier gathering for edge AI innovation and cross-sector collaboration.

Conference highlights specific to the defense space include:

• Keynote Address by Rear Admiral (Ret.) Doug Small, sharing his decades of naval leadership and technology integration experience
• Panel Discussion: Mission Critical Edge AI for Defense Industries, exploring the paradigm shift toward AI architectures designed for edge deployment from the ground up
• Evening Reception aboard the USS Midway Museum, an exclusive networking event in the historic setting of America’s longest-serving aircraft carrier of the 20th century

“We exist to unite industry leaders to drive innovation, solve global challenges, and democratize AI technologies,” said Pete Bernard, CEO of EDGE AI FOUNDATION. “We recognized that we could support our members working in defense with a forum to share their deep bodies of knowledge to come together and strengthen edge AI capabilities critical to national and allied security.”
For more information about the Defense Working Group, EDGE AI SAN DIEGO 2026, or the EDGE AI FOUNDATION, visit sandiego2026.edgeaifoundation.org or contact dwg@edgeaifoundation.org.

About the EDGE AI FOUNDATION
The EDGE AI FOUNDATION (a California-based 501c3) is the world’s largest community of edge AI developers, technology makers and academia, serving as the global hub for energy-efficient edge AI technologies. From tinyML to agentic AI, physical AI and neuromorphic computing, we’re transforming AI at the network’s edge and uniting industry leaders and to drive innovation, solve global challenges, and democratize AI technologies. Learn more at www.edgeaifoundation.org

About Latent AI
Latent AI delivers edge AI solutions that enable rapid deployment of artificial intelligence capabilities on any device. Founded in 2018, the company’s developer platform helps government and commercial organizations implement efficient, secure AI solutions at the edge. Latent AI’s tools enable developers to build and update secure, adaptive models for field or laboratory use, serving defense and commercial customers. For more information, visit latentai.com.

Media Contact:
Lia LoBello Reynolds
EDGE AI FOUNDATION Communications
E: media@edgeaifoundation.org
Max Holden
Force4 Technology Communications
E: Max.holden@force4.co

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Latent AI to Chair Defense Working Group with EDGE AI FOUNDATION to Advance Mission-Critical Edge AI

/PRNewswire/ -- Latent AI, the global leader in edge AI solutions, is leading a new Defense Working Group in partnership with the EDGE AI FOUNDATION, focused...

www.prnewswire.com

Latent AI to Chair Defense Working Group with EDGE AI FOUNDATION to Advance Mission-Critical Edge AI​

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NEWS PROVIDED BY​

Latent AI
Mar 18, 2026, 08:03 ET

Consortium will accelerate "edge-first" technical frameworks and trusted supply
chain standards for defense and allied nations

PRINCETON, N.J., March 18, 2026 /PRNewswire/ -- Latent AI, the global leader in edge AI solutions, is leading a new Defense Working Group in partnership with the EDGE AI FOUNDATION, focused on advancing mission-critical edge AI capabilities for defense and government operations. The working group, chaired by Latent AI CTO and co-founder Sek Chai, represents the first consortium dedicated specifically to the technical and policy challenges of deploying artificial intelligence at the tactical edge of defense.

The initiative will be formally introduced during EDGE AI San Diego 2026 from March 24–26, and will convene afterward, bringing together established technology providers, emerging startups, and defense stakeholders to address the engineering, procurement, and national security considerations unique to edge AI in operational environments.

The working group will also explore a number of key challenges to adoption at scale, including:

• A trusted "Blue Edge" framework, analogous to the Department of War's Blue UAS initiative, which provides procurement officers with a vetted list of approved drone vendors. Applying a similar model to edge AI hardware and software stacks would provide acquisition professionals with greater clarity and confidence when evaluating trusted, defense-grade AI solutions.
• Supply chain assurance, including trusted component sourcing and rare earth dependencies, elevating the conversation beyond engineering into broader national security and policy considerations. While initially focused on U.S. defense needs, the framework is designed to support NATO and allied nations facing similar operational requirements.

This will be the first defense-focused discussion for the edge AI community. At the event, Sek Chai will lead a panel discussion titled "Mission Critical Edge AI for Defense Industries," examining how defense and aerospace organizations can adopt an edge-first approach from both technology and policy perspectives, geared towards bolstering information sharing between private and federal edge AI innovators. Panel participants include Ret. Rear Admiral Doug Small (ret), Naval Information Warfare Systems Center's Senior Scientific Technical Manager for Data Science Charles Yetman, Accenture Federal Services Managing Director of Defense and Intelligence Ana Olson, and Tricia Fitzmaurice, president, WindRiverX. The Defense Working Group also includes representatives from key organizations including Qualcomm, Dell, Syntiant, Embedl and Expanso.

A central theme of the Defense Working Group's effort will be advancing an "edge first" mindset over traditional "cloud first" architectures. For mission-critical defense applications, building for the edge from the outset, rather than retrofitting cloud-centric models, is essential to ensuring resilience, security, and operational performance.

While AI innovation has accelerated rapidly in cloud and enterprise settings, defense missions demand a fundamentally different approach. Edge AI systems must operate in denied, degraded, intermittent and low-bandwidth (DDIL) environments, under strict size, weight, and power (SWaP) constraints, and within highly regulated supply chains. The Defense Working Group will focus on two primary objectives: accelerating collaboration around technical ecosystem challenges specific to mission-critical deployments and raising awareness of edge AI capabilities within defense policy and acquisition communities worldwide.

Latent AI was selected to chair the Defense Working Group due to its position at the intersection of federal defense programs and commercial edge AI innovation. The Silicon Valley startup maintains active contracts across the U.S. Air Force, Navy, and Army, while cultivating a growing ecosystem of commercial technology partnerships. This dual vantage point enables Latent AI to help translate commercial innovation into mission-ready defense capabilities and serve as a connector between the defense and broader edge AI communities.

Sek Chai, CTO and co-founder, Latent AI, said: "Mission-critical AI cannot be an afterthought to cloud-first design principles. Edge deployments require deliberate architectural decisions around optimization, orchestration, hardware constraints, and supply chain integrity. This working group is about building consensus on what 'edge first' truly means from both a technical and policy standpoint, ensuring systems are engineered for the environments where they must actually operate."

Pete Bernard, CEO, EDGE AI FOUNDATION, said: "The EDGE AI FOUNDATION was established to advance practical, real-world AI deployment. Defense and national security represent some of the most demanding edge environments in existence. Latent AI's leadership in both commercial and defense edge AI uniquely positions the company to chair this working group and help define the standards and frameworks that will shape mission-critical deployments moving forward."

To learn more about the Defense Working Group and Latent AI's participation at Edge AI 2026, visit here and check out Latent AI's deep-dive blog.

About Latent AI
Latent AI delivers edge AI solutions that enable rapid deployment of artificial intelligence capabilities on any device. Founded in 2018, the company's developer platform helps government and commercial organizations implement efficient, secure AI solutions at the edge. Latent AI's tools enable developers to build and update secure, adaptive models for field or laboratory use, serving defense and commercial customers. For more information, visit latentai.com.

About the EDGE AI FOUNDATION
The EDGE AI FOUNDATION (a California-based 501c3) is the world's largest community of edge AI developers, technology makers and academia, serving as the global hub for energy-efficient edge AI technologies. From tinyML to agentic AI, physical AI and neuromorphic computing, we're transforming AI at the network's edge and uniting industry leaders and to drive innovation, solve global challenges, and democratize AI technologies. Learn more at www.edgeaifoundation.org.

Media Contact:
Max Holden
Force4 Technology Communications
Max.holden@force4.co
Lia LoBello Reynolds
EDGE AI FOUNDATION Communications
media@edgeaifoundation.org
SOURCE Latent AI

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Catch us at Edge AI San Diego to see edge-first AI in action

Join Latent AI at Edge AI San Diego to explore what edge-first looks like in practice, from technology to policy.

latentai.com

EDGE AI Working Groups - EDGE AI FOUNDATION

<p>EDGE AI FOUNDATION Working Groups are populated by industry partners and academia to drive cross industry initiatives and best practices in a neutral and collaborative environment. Working Groups are open to Strategic Partners and academia.</p>

www.edgeaifoundation.org

 

[IloveLamp]

https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2FePdmrN3G&urlhash=eSxZ&mt=eCpyaMjxXEsiGa6mZ8bYgsEy1EMmLKU4E10F4QBUM11AmULxZ-GgqxoN3Xg2IMtsbX41Sw0KlXxqdGcjx9G25qTcw5hEuZLHo6FiUGDNfmfmApYJVMNNKBa1jA&isSdui=true

https://www.linkedin.com/feed/update/urn:li:groupPost:13393034-7440047517125357568?utm_source=share&utm_medium=member_android&rcm=ACoAADD5vmcBugAaIDGpUFyw5jXteYnor1qYetg

 

[Neuromorphia]

https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2FePdmrN3G&urlhash=eSxZ&mt=eCpyaMjxXEsiGa6mZ8bYgsEy1EMmLKU4E10F4QBUM11AmULxZ-GgqxoN3Xg2IMtsbX41Sw0KlXxqdGcjx9G25qTcw5hEuZLHo6FiUGDNfmfmApYJVMNNKBa1jA&isSdui=true

https://www.linkedin.com/feed/update/urn:li:groupPost:13393034-7440047517125357568?utm_source=share&utm_medium=member_android&rcm=ACoAADD5vmcBugAaIDGpUFyw5jXteYnor1qYetg

View attachment 96307

https://www.eetimes.com/podcasts/can-the-nvidia-monopoly-on-ai-chips-be-broken/

 

[Jacob Kiraz]

Hi WH,

There is great potential for some sort of sublicence arrangement here.

$11B for what is, compared to Akida, a one trick pony software application. It seems that it is useful in sorting RAG models:

https://www.confluent.io/compare/apache-kafka-vs-confluent/

View attachment 96298

https://www.geeksforgeeks.org/apache-kafka/apache-kafka/

Apache Kafka is a publish-subscribe messaging system. A messaging system lets you send messages between processes, applications, and servers. Broadly Speaking, Apache Kafka is software where topics (a topic might be a category) can be defined and further processed. Applications may connect to this system and transfer a message onto the topic. A message can include any kind of information from any event on your blog or can be a very simple text message that would trigger any other event.


https://ai-academy.training/2025/07/13/live-retrieval-augmented-generation-rag-with-kafka/


Confluence and Kafka are birds of a feather:

https://www.confluent.io/resources/online-talk/cloud-demo/


Online Talk

Confluent Cloud Demo: Easily Stream Data With Apache Kafka®​

Live Retrieval-Augmented Generation (RAG) with Kafka​

The buzz around Generative AI (GenAI) is undeniable. From crafting compelling marketing copy to generating intricate code, Large Language Models (LLMs) are rapidly transforming workflows. However, beneath the surface of impressive text generation lies a critical challenge: reliability and factual accuracy. Standalone LLMs, trained on vast but static datasets, can hallucinate or provide outdated information, limiting their utility in enterprise environments where truth and timeliness are paramount.

Enter Retrieval-Augmented Generation (RAG).

This powerful paradigm enhances LLMs by equipping them with the ability to access and incorporate external, up-to-date information into their responses. Think of it as giving the LLM a real-time open-book test, ensuring its answers are grounded in verifiable data. But how do we make this “open book” truly dynamic, reflecting the ever-changing landscape of enterprise knowledge? The answer lies in the real-time streaming capabilities of Apache Kafka.


Kafka/Confluence could be used to advantage with Akid. BRN's Provenance is also suited to dehallucinating medium sized models.


So, if Confluence is worth $11B, ... ?

Given Kevin's exploits, as well as the synergies between Confluence/Kafka and Akida for RAG, this could be a live question.

Does Sean have Arvind Krishna's phone number?

What does it really mean Kevin testing Akida 1000, ?
Lets hope his talking to someone if the product is that good,
Im sure Kevin and Sean or someone at Brainchip talk and know each other

 

[IloveLamp]

https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww%2Eyoutube%2Ecom%2Fwatch%3Fv%3DigTb1CxEaoE&urlhash=7_vY&mt=W6XStbLy3FhT8Ux9aOxUNuBzz_Iodlcod8o6evGk5UKfaYYlDGGE_nEPx1tAMod0nprTYPrViu7daJ6FhircbeOnL3okoY8Dg2miRTvbIJSPjrNn2UzEYhT8Bg&isSdui=true