IMO we all have to get used to reading AI produced information. Just like Neuromophic Edge AI ain't going anywhere except up.Rude.
You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.
What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.
The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.
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So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots
In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.
Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.
The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.
Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.
ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.
That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.
Rude.
You know there's nothing stopping you from contributing your own research here, instead of just playing town critic.
What both you and @TheDrooben seem to have missed is that I posted an excerpt from an article that nobody else had picked up on, which is what formed the basis of my ChatGPT query. Ironically, that post itself was in response to a comment about ChatGPT being “useless,” to show how it can be used in a constructive way.
The excerpt I shared highlighted Arm stating the Mali GPU and AI accelerator are “optional” in their latest platform. That’s a critical point, because it means chipmakers can slot in whichever accelerator they choose.
View attachment 90791
So far, nobody else has discussed this or Arm’s Zena platform and I’ve been trying to connect the dots
In a previous post #83,058, I commented on Renee Hass (Arm's CEO) being asked whether Arm would consider making its own accelerator, and how that ties into this more recent “optional accelerator” comment.
Likewise, in another previous post #83,075, I pointed out how Paul Williamson (Senior Vice President and General Manager, IoT Line of Business) also hinted about Arm potentially needing a higher-performance NPU.
The interesting angle for me is whether Arm might be weighing RTL versus chiplet integration for Akida/TENNs. That’s what I’m trying to get at, even if I lack the technical depth to do all the heavy lifting myself.
Thanks to ChatGPT, I’ve learned that AI accelerators can be integrated as a) RTL blocks in a monolithic SoC, or b) they can be dropped in as chiplets using frameworks like CSA/UCIe.
ChatGPT is also helping me to ascertain how Akida/TENNs could slot into that optional accelerator role, either as a companion block alongside Ethos-U85/M85, or a chiplet via Arm’s ecosystem. And how Akida 2 + TENNs versus Akida 3 + TENNs might fit into Arm’s longer-term chiplet ambitions.
That’s the line of thinking behind my posts. If it’s not appreciated, fair enough. Maybe I should just keep my research to myself.
Apologies, you're right. Nonetheless their LinkedIn post today reaffirms the partnership has not been affected after the acquisition by Qualcomm.
edgeimpulse.com
Nice to see we're hooked up with Parallax and Steve Harbours group intertwined with the US Govt strategies on microelectronics.
My bold.
Aug 26, 2025
In April 2025, the White House released its Amended National Strategy on Microelectronics Research, calling for bold action to strengthen America’s microelectronics innovation ecosystem, expand secure domestic production, and deliver next-generation architectures that go beyond conventional silicon. At Parallax Advanced Research and the Ohio Aerospace Institute, we are delivering on that vision now, translating foundational research in neuromorphic and bio-inspired systems into the lab-to-fab pathways and workforce development the national strategy demands.
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Caption: Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute
“Neuromorphic computing, living microprocessors, and hybrid bio-organic architectures aren’t distant dreams — they’re active research directions right here in Ohio,” says Dr. Steven Harbour, director of AI Hardware Research at Parallax Advanced Research and the Ohio Aerospace Institute. “We’re doing exactly what the national strategy calls for: pioneering the fourth wave of microelectronics that merges organic and inorganic materials for adaptive, secure, and energy-efficient hardware.”
The White House strategy sets four national goals. Parallax/OAI’s research and partnerships align with each in practical, measurable ways.
First, Goal 1 of the national strategy calls for enabling and accelerating research advances for future generations of microelectronics, specifically emphasizing the development of unconventional materials, robust non-von Neumann architectures, and heterogeneous integration. Parallax/OAI’s projects such as NEUROPATH and Minilla deliver on this priority by advancing IGZO-FinFET hybrids, bio-organic computing elements, and event-driven spiking neural networks that push computing beyond the von Neumann bottleneck. Dr. Harbour’s team is developing RF-to-Light-to-Spike pipelines that integrate photonics, sensing, and neuromorphic processing — demonstrating the very interdisciplinary, heterogeneous designs the strategy names as essential to next-generation performance. Their work on hardware co-design for integrity and security also directly reflects the strategy’s call to prioritize security alongside power, performance, and cost.
Second, the strategy’s Goal 2 emphasizes bridging research to manufacturing through stronger infrastructure and a clear lab-to-fab transition.
“Translating neuromorphic concepts into real, manufacturable silicon takes tight coupling of materials science, design, and packaging,” Harbour said. “Our Minilla and Akida testbeds do exactly that — providing a place where unconventional ideas can become manufacturable designs.”
NEUROPATH explores sparse spike architectures that are scalable in CMOS, while Parallax’s partners help expand access for academia and small business innovators to test and prototype their novel systems. This practical testbed access directly supports the federated networks and advanced prototyping capabilities called for in the White House strategy.
Third, the national strategy highlights the urgent need to grow and sustain the U.S. microelectronics workforce, ensuring that future engineers and technologists are prepared for cutting-edge hardware design and manufacturing. Dr. Harbour’s dual role as a professor and mentor ensures that Parallax/OAI is not just building better microarchitectures — but also building the people who will design, test, and secure them in the years ahead.
“We’re growing the next generation of neuromorphic engineers right here in Ohio,” Harbour said. “Our students and early-career researchers work directly with technologies that are five to ten years ahead of the commercial curve. This is what workforce readiness looks like.”
Finally, Goal 4 calls for a vibrant innovation ecosystem that translates research breakthroughs into trusted domestic production and national security capabilities. Parallax/OAI demonstrates this ecosystem mindset in action. Through collaborative ventures with public-private-academic partners, Parallax/OAI shows how regional clusters can act as national force multipliers. These partnerships ensure that breakthrough architectures — like spiking LLMs and living microprocessor concepts — are not only developed but tested, secured, and positioned for commercialization here in the United States.
“The strategy is clear: the future of microelectronics leadership depends on non-traditional architectures and bio-integrated designs that can’t be easily copied or compromised,” Harbour said. “By building this work in Ohio and with our national lab and defense partners, we help keep America’s microelectronics edge secure and resilient.”
As the White House notes, the next five years will be decisive for America’s position in microelectronics. That’s why Parallax/OAI urges policymakers, program managers, and prime contractors — especially those leading defense and dual-use microelectronics programs — to leverage the research assets, testbeds, and talent pipelines already being built in Ohio and across the Midwest. Working together, these partnerships can accelerate non-von Neumann architectures from lab to fab, cultivate a future-ready workforce, and strengthen the secure domestic supply chain that underpins national security and economic prosperity alike.
“Neuromorphic, bio-inspired, and heterogeneous systems are more than buzzwords. They’re exactly what the nation needs to stay ahead,” Harbour said. “Parallax/OAI is ready to make it real.”
Source: National Strategy on Microelectronics Research, as amended April 2025 — National Science and Technology Council, Executive Office of the President.
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About Parallax Advanced Research & the Ohio Aerospace Institute
Parallax Advanced Research is a private advanced research institute that tackles global challenges through strategic partnerships with government, industry, and academia. It accelerates innovation, addresses critical global issues, and develops groundbreaking ideas with its partners. In 2023, Parallax and the Ohio Aerospace Institute, an aerospace research institute located in Cleveland, OH, formed a collaborative affiliation to drive innovation and technological advancements across Ohio and the nation. The Ohio Aerospace Institute plays a pivotal role in advancing aerospace through collaboration, education, and workforce development. More information can be found at parallaxresearch.org and oai.org.
In terms of deployment, neuromorphic processors can be integrated into existing electronic countermeasure (ECM) pods, widely used in both Air Force and Navy operations. These pods, which are part of strike packages including crewed and uncrewed aircraft, offer a clear pathway for fielding these advanced systems across the Department of Defense (DoD).Harbour says, “Both Intel’s Loihi and Brainchip’s hardware appears plausibly scalable for platforms like fighter aircraft or drones.”
As Harbour said, “The ultimate goal is scalability across air, sea, land, and space domains, ensuring these systems operate effectively on the front lines.”
Ok you forgot the “after” pic …My granddaughter 1st birthday and we had to dress up
That wasOk you forgot the “after” pic …
Just over a year ago, I spotted an intriguing comment by Alf Kuchenbuch under a STEMIX.TECH LinkedIn post. The founders of this Romanian startup “specializing in AI-centric hardware and software products” had previously worked for CyberSwarm, a neuromorphic startup with roots and an R&D centre in Romania as well, but headquartered in San Mateo, CA.
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(…)
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While we never heard anything concrete with regards to an actual collaboration between BrainChip and STEMIX.TECH in the ensuing months, I did notice a number of LinkedIn ‘likes’ being exchanged, including this recent one: Their CTO Ionuț Moldovanu gave Alf Kuchenbuch’s Edge AI Milan 2025 post a, in which our VP of Sales, EMEA had mentioned “validating our approach with Akida2 with TENNs, which we will start rolling out for evaluation in summer 2025”:
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So it appears our companies are still interested in each other, if not already secretly an item.
Although the AI toy project sounded pretty advanced in development at the time (“We’re about to launch…”), STEMIX.TECH never again referred to it on LinkedIn.
Is the Bucharest-based startup still working on it in secrecy?
Or have they meanwhile shelved that project, which would actually be somewhat surprising, given what their CTO stated in this video uploaded to YouTube on 17 June 2024, less than a month before Alf Kuchenbuch made the above comment, whose content suggested they had already been in contact for some time.
“STEMIX.TECH D1 demo video - Voice AI development kit - Use the full power of LLM with our low power development board”:
From 3 min onwards, Ionuț Moldovanu says “Basically you could run a lot of other apps, like voice-to-voice - we’re gonna do a demo with that one as well. You could also tie sensors to it, so the generation could be made accordingly to what the sensors see, sensor values [?]. You can embed it in wearables, you can embed it in industrial equipment, in toys. Actually toys are one of our best choices right now for integrating this device, because smart toys with connections to LLM could be really interactive and engaging for users.”
I pointed out at the time that the envisaged smart toy appeared to be conceptualised as cloud-based, which made me wonder how our company would fit into this, since we keep on spruiking the benefits of privacy and security thanks to on-device processing without having to send data to and from the cloud. Remember, we’re talking about an electronic children’s toy here, where data protection should be of paramount importance!
Also, our potential partner was a yet unknown Romanian startup. It seemed implausible that they would have the budget to take out a regular IP license with us, although our business model had evolved into just that - IP licensing... That’s why I wrote at the time: “So is this possibly a case of a collaboration involving a potential software license of TENNs only?! After all, you don’t necessarily need Akida for running TENNs!”
Fast forward a year and see our BrainChip team buzzing with excitement about Akida GenAI and LLMs on the Edge. This made me revisit that July 2024 STEMIX.TECH post and speculate whether the reason why the smart toy hasn’t yet been launched may possibly have to do with our company convincing the STEMIX.TECH team at the time to shelve their original concept of utilising LLM cloud models, and instead offer to work with them on “LLMs on the Edge” in the true sense of the word: “Small Large Language Models” that can fit on a chip inside the toy and function without any internet connection, hence keeping conversations between children and their AI toys private and safe, all within the family’s four walls.
Is BrainChip possibly working with STEMIX.TECH in the form of a joint partnership (which would circumvent any upfront licence fee) to demonstrate what is possible with regards to LLMs at the Edge?
As I said, all this is pure speculation only. Maybe the project simply got shelved - be it temporarily or indefinitely.
Shortly after the LinkedIn post about the AI toy, STEMIX.TECH announced a partnership with Butonul Roșu - Niciodată Singur (https://butonulrosu.ro/, Butonul Roșu meaning “Red Button”) on the development of an “LTE-M SOS enabled bracelet or keychain focused on safety and health monitoring”.
What piqued my interest about this device - given I was aware of BrainChip’s prior intention of working on another project with STEMIX-TECH - is the sentence “The IoT-LLM technology we are developing will be part of the next wave of energy efficient, AI integrated hardware and software products. It represents a new generation of infrastructure that can analyse and “think” about physical data in ways we never imagined before.”
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According to a LinkedIn post I stumbled across yesterday, the health wearable is apparently going to be launched under the name STEMIXGuardian. The first few lines in Romanian translate as “Thank you, Liviu! Thank you, Ionut! Stemix, or a reason not to leave Romania permanently:”
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Other than that, STEMIX.TECH’s focus seems to have shifted to industrial applications :
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#appliedai #aiinindustry #iot #smartfactories #stemixtech #industrialinnovation #digitaltransformation | STEMIX.TECH
𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘂𝗻𝗶𝘁𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 Artificial intelligence (AI) is often discussed in abstract or futuristic terms, nonetheless at Stemix.Tech we believe in Applied AI Solutions - meaning intelligent solutions that improve real-world operations, now. We don't just use AI — we...www.linkedin.com
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STEMIX.TECH - AI Operations Platform
Applied AI Solutions for industrial data collection and analysiswww.stemix.tech
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So nothing concrete to see here for now, but I shall continue to keep an eye on this “Applied AI Solutions” startup…
My granddaughter 1st birthday and we had to dress up
New podcast “Innovations in Edge AI” with our CEO Sean Hehir and Transform NOW podcast host Michael Marchuk from SS&C Blue Prism
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Some interesting snippets:
From 4:09 min
Podcast host: “So how do you see the differentiation happening within the way you’re positioning your particular architecture vs the way that say Nvidia, Google or some of the others with their specific architectures.”
The second part of Sean Hehir’s answer was:
“We complement them. We’re not gonna compete with them. They’re excellent in what they do, we’re excellent in what we do. And, you know, they cannot do, what we can do, just like we could or could not do some of the things they do. There is no reason our technology couldn’t go there, but there is no really need to go there right now, because they’re there and people are not overly sensitive about power, yet. Some day they will be, but right now these technologies are very complementary. Just use the right tool for the right task at hand. Nothing more complicated than that.”
From 5:34 min
Podcast Host: “How do you see moving your architecture into that type of space [= data center], or do you see that as an eventuality?”
Sean Hehir: “Our mission is to enable the Edge. We have no plans right now at all to move our stuff into the data center. Over time, couldn’t that happen? Absolutely. We think there’s a very large addressable market. We’re staying focused on that addressable market, because that’s where we excel, but you’re absolutely right, the world is waking up, there is limits on the power. You know, and many people in the data center now are trying to reduce their power signature, and they’re gonna run into to some technological limits. And later on, you’re gonna talk about some of the bases of our technology which are inherently lower-power, and some of the things around taking advantage of event-based or neuromorphic and sparsity and all the things that we do exceptionally well, those principles will start to be really really important in the data center in the coming decades.”
So you heard it from the horse’s mouth: “We have no plans right now to move our stuff into the data center.” (And I assume he wasn’t talking about the Laguna Hills office furniture etc)
From 22:54 min:
Podcast host: “So are we gonna see BrainChip IP in some of these humanoid robots that we’ve seen being developed?”
Sean Hehir: “I certainly hope so, and I expect so.”
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Michael Marchuk - Blue Prism | LinkedIn
I am the Vice President of Global Advisory Programs at Blue Prism, a leading provider of… · Experience: Blue Prism · Education: University of Illinois at Urbana-Champaign · Location: Charlotte Metro · 500+ connections on LinkedIn. View Michael Marchuk’s profile on LinkedIn, a professional...www.linkedin.com
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Yes agreed, he was also moving his hands around explaining himself with gusto , I like this positive energy. Normally he doesn't move much at all.It’s the best I have heard Sean speaking very direct strong and professional ( what’s happened lately to get him so positive)
Not rude, but honest! AND it is my decision! I do not have the time, and I also do not want to read all those pages with something an AI is guessing. ChatGPT might be right sometimes, but also wrong many times.
I asked you before to reduce those posts to summaries, and many people here supported that, but you ignored it and continued posting those long stories. Who was rude here?
I have always highly appreciated your posts before you started using ChatGPT, but I do not see those posts anymore. It is only ChatGPT you have been posting lately. That's your decision.
You cannot win them all!