BRN Discussion Ongoing
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DingoBorat
Slim
The parable of the donkey and the tiger comes to mind..Yeah what an arsehole no tax on overtime no tax on tips no tax on pensions, cleaning up crime and trying to stop wars, you must be another one with TDS. Pretty clear to see you lefties are nuts
Was thinking the same thing......we're off.....I'm gonna make a call.... Goodbey to 20 and enter 30's by early next week.... The dawn of a new era....
GazDix
Regular
The only reason why Trump was brought up is because the MSM constantly put him there for all you NPCs (non player characters) to gawk and screech over and take their opinions hook, line and sinker so you don't care about the real issues that really affect us.
The truth is, the mainstream media, government and 'liberals' (not opposition any more) are pillaging and destroying our country and its future.
Rental prices and demand are at its highest.
Inflation and debasement of currency are deleting any future hopes of anyone under 40s who are middle class or lower. They turn to gambling in droves to try and 'make it'. Suicide rates up? Yep.
Digital IDs coming mid December enforced by an American on a massive salary here. Under 16s can't use YouTube? No. Trojan horse for control.
Our politicians are bought (WEF and the UN) and they don't represent most Aussies. But let's worry about effing Trump....
Back on topic, I thought @Frangipani 's post yesterday caught the sentiment here pretty well. I am more worried about Brainchip's lack of news particularly on the tech front.
The truth is, the mainstream media, government and 'liberals' (not opposition any more) are pillaging and destroying our country and its future.
Rental prices and demand are at its highest.
Inflation and debasement of currency are deleting any future hopes of anyone under 40s who are middle class or lower. They turn to gambling in droves to try and 'make it'. Suicide rates up? Yep.
Digital IDs coming mid December enforced by an American on a massive salary here. Under 16s can't use YouTube? No. Trojan horse for control.
Our politicians are bought (WEF and the UN) and they don't represent most Aussies. But let's worry about effing Trump....
Back on topic, I thought @Frangipani 's post yesterday caught the sentiment here pretty well. I am more worried about Brainchip's lack of news particularly on the tech front.
Rangersman
Member
Ted Lasso is in the frame I heard after old slippy knocked us back.
Gies
Regular
Is Brainchip inside???
www.linkedin.com
Google Open-Sources NPU IP, Synaptics Implements It - EE Times | Sally Ward-Foxton
Google Research has developed an NPU - a RISC-V superscalar CPU designed for edge AI - which it is giving to the industry for free in a bid to try to avoid fragmentation in the edge AI ecosystem. Synaptics Incorporated is the first to incorporate this NPU into production silicon. I spoke with...
Frangipani
Top 20
Totally agree, @FJ-215!
I personally think it’s highly likely that the reference to “neuromorphic” in the description of the Mercedes-Benz Vision Iconic show car revealed today relates to the NAOMI4Radar project that was wrapped up in August.
According to project partner TWT GmbH Science & Innovation, the goal of NAOMI4Radar was “to optimize radar data processing in autonomous vehicles using #NeuromorphicComputing” and “Within the approximately one-year project duration, we aim to demonstrate the industrial applicability of the neuromorphic chip #Loihi2.”
cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-473794
By the way: The NAOMI4Radar project was not fully funded by the German government. What was formerly known as Germany’s Federal Ministry for Economic Affairs and Climate Action apparently funded 56% of the 900,000 € project costs, so its total contribution must have amounted to 504,000 €, then. The document below does not state how much was paid to each project partner and when, but we know that Mercedes-Benz received between 20,000 and 30,000 € of this payment for the calendar year 2024 (see my link above).
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I recently posted that I was expecting Markus Schäfer to share the results of the NAOMI4Radar project before stepping down as CTO in about six weeks from now and that Mercedes-Benz even had a promotional video commissioned:
My above post was dated 26 September.
Meanwhile, neuromorphic researcher Gerrit Ecke, who was the project lead at Mercedes-Benz for the NAOMI4Radar project and was also featured in the video referred to above, has left the German luxury carmaker and embarked on a new adventure as Principal Engineer AI / ML with Project Q, a defense-tech company founded in 2024 with offices in Munich and Berlin. Interesting startup…
I’m happy to share that I’m starting a new position as Principal Engineer AI / ML at Project Q! We are reshaping the future of defense with innove software technologies. After 6 1/2 years at… | Gerrit Ecke | 21 comments
I’m happy to share that I’m starting a new position as Principal Engineer AI / ML at Project Q! We are reshaping the future of defense with innove software technologies. After 6 1/2 years at Mercedes-Benz AG, driving innovations and working with amazing people, it is time for a new adventure...
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LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.www.linkedin.com
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Speaking of NAOMI4Radar: Presentations on the project’s results have begun… Like this talk earlier today by Franziska Ott (TWT GmbH Science & Innovation) and Geoffrey Kasenbacher (Mercedes-Benz) at ELIV (Electronics in Vehicles) 2025 in Bonn:
#eliv2025 #naomi4radar #mercedesbenz #twtgmbh #radartechnology #autonomousdriving #neuromorphiccomputing #adas #innovation #collaboration | Dr.-Ing. Johanna Kasper
🎤 On stage at ELIV 2025 – Naomi4Radar: Advancing Autonomous Driving with High-Efficiency Neuromorphic Radar Heute auf der Bühne bei der ELIV 2025: Franziska Ott (TWT GmbH Science & Innovation ) und Geoffrey Kasenbacher (Mercedes-Benz AG ) präsentierten im Track “Automotive AI – From Sensor to...
English translation:
On this slide we can see which specific researchers from each of the project partners were involved in a publication resulting from the project…
And here you can see Loihi 2 (the blue box on the left) as well as the Infineon front radar used…
Frangipani
Top 20
In this 29 April article about the Future of Neuromorphic AI in Electronic Warfare, Steven Harbour not only confirms a partnership between Parallax Advanced Research and Intel (no surprise here, as he already used to collaborate with them closely for years while at SwRI), but also one between Parallax Advanced Research and BrainChip:
Parallax Advanced Research and the Future of Neuromorphic Artificial Intelligence in Electronic Warfare
Published on
Apr 29, 2025
The convergence of artificial intelligence and defense technologies is poised to redefine the future of electronic warfare (EW). This shift, driven by third-generation AI techniques like spiking neural networks (SNN) and neuromorphic research, represents a critical step forward in equipping the U.S. military with innovative and adaptable solutions. We spoke with Dr. Steven Harbour, Parallax Advanced Research director of AI Hardware Research and a leading expert in neuromorphic research, to explore how his team is advancing AI capabilities and addressing emerging challenges in defense.
Parallax Advanced Research and Southwest Research Institute (SwRI) EW Team; left to right: Mr. Justin S. Tieman, Principal Engineer, SwRI; Mr. Keith G. Dufford, Senior Program Manager, SwRI; Mr. David A. Brown, Institute Engineer; and Director AI Hardware Research and Neuromorphic Center of Excellence, Parallax; Dr. Steven D. Harbour
Exploring AI’s Next Frontier
Traditional AI excels in tasks it has been trained on, demonstrating precision in recognizing familiar patterns and processing expected queries. However, Harbour highlights a significant limitation: AI's brittleness when confronted with the unexpected.
Humans, on the other hand, adapt to the unknown through cognitive problem-solving, a capability that AI systems must emulate to address future challenges effectively.
SNNs, inspired by the human brain’s functionality, offer a promising solution. Unlike traditional feedforward neural networks rooted in inferential statistics, SNNs excel in rapid decision-making under uncertainty, making them particularly suited for dynamic environments like electronic warfare.
Scaling Neuromorphic Systems
Parallax is at the forefront of advancing third-generation AI algorithms, partnering with Intel and Brainchip to develop scalable neuromorphic hardware.
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).
The Role of Partnerships in Shaping AI Research
Collaboration plays a pivotal role in advancing neuromorphic research. Parallax, headquartered in Dayton, Ohio, benefits from proximity to leading institutions like the University of Dayton and the University of Cincinnati. Harbour’s connections with researchers like Professors Dr. Tarek Taha, Dr. Chris Yakopcic, and Dr. Vijayan K. Asari University of Dayton and Dr. Kelly Cohen an Endowed Chair and Lab Director at the University of Cincinnati have led to innovative projects, including combining “fuzzy” logic with Neuromorphic SNNs to enhance AI decision-making.
Parallax’s independent research efforts are further bolstered by partnerships with institutions like Intel and Brainchip, ensuring access to cutting-edge neuromorphic technologies. These collaborations not only drive technological innovation but also foster a thriving research ecosystem essential for addressing the unique challenges of EW.
Evolving Applications in Defense Technologies
Over the next few years, an AFLCMC initiative will focus on developing and deploying third-generation AI algorithms on neuromorphic platforms. According to Harbour, the initiative aims to create “fieldable systems that can operate effectively in air, sea, land, and space environments.” This vision extends to supporting broader DoD efforts, including AFRL’s test facilities and ongoing collaboration with Southwest Research Institute.
The adaptability of these systems will be critical for countering emerging threats. Harbour envisions a future where AI-powered EW solutions can address the unknown, enhancing situation awareness and enabling rapid response in high-stakes scenarios.
AI and the Future of EW
As neuromorphic research progresses, its impact on EW solutions for the U.S. military is undeniable. From enhancing strike packages to integrating AI into naval, land, and space operations, the potential applications are vast. Harbour emphasizes the importance of continued innovation and collaboration:
Through its pioneering work in AI and defense technologies, Parallax is shaping a future where adaptability and innovation are the cornerstones of national security. By bridging the gap between academic research and practical deployment, the team is ensuring that the U.S. military remains at the cutting edge of electronic warfare capabilities.
###
About Parallax Advanced Research & The Ohio Aerospace Institute (OAI)
Parallax is a 501(c)(3) private nonprofit 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. With offices in Ohio and Virginia, Parallax aims to deliver new solutions and speed them to market. In 2023, Parallax and OAI formed a collaborative affiliation to drive innovation and technological advancements in Ohio and for the nation. OAI plays a pivotal role in advancing the aerospace industry in Ohio and the nation by fostering collaborations between universities, aerospace industries, and government organizations, and managing aerospace research, education, and workforce development projects.
Interview with Steve Harbour (his surname is spelled incorrectly, but it’s definitely him
) from Parallax Advanced Research and the Ohio Aerospace Institute titled “Thinking Like the Brain: Neuromorphic AI and the Future of Defense Computing” on Emerging Tech Horizons - A National Security Podcast:
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Frangipani
Top 20
Yup, BrainChip is indeed coming to Semiconductor Australia, although not participating in the above panel discussion “Leading from the Front” with DroneShield.
Instead, Sean Hehir will be representing BrainChip in Session Two “Semiconductors Power the Universe” alongside the CEOs of Weebit Nano (according to whom our two companies had been in discussions with “on multiple fronts” at the time of a March 2025 Retail Investor Briefing), 2D Generation and Archer Materials.
Agenda | SemiconductorAus
www.semiconductoraustralia.com
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#brainchip #semiconductoraustralia #neuromorphicai #edgeai #deeptech #innovation #bluglass #s3b | BrainChip
We're thrilled to announce that our CEO, Sean Hehir, will be presenting at Semiconductor Australia 2025 on October 22nd at ILUMINA in Sydney. Hosted by BluGlass Limited (ASX: BLG) and Semiconductor Sector Service Bureau (S3B), Semiconductor Australia is the nation's premier deep-tech...
Frangipani
Top 20
BrainChip will also be at Edge AI Taipei 2025 on 11 November:
www.linkedin.com
#edgeai #edgeaitaipei2025 #edgeaifoundation #networking #aicommunity #innovationecosystem #edgecomputing | EDGE AI FOUNDATION
Join the Edge AI Community Mixer — Nov 11 @ Sports Nation, Taipei! After a full day of keynotes, lightning talks, and workshops, it’s time to unwind, connect, and celebrate with the global #EdgeAI community. Meet leaders and innovators from: Advantech · AIZip · Alif Semiconductor · ambient...
smoothsailing18
Regular
We should be considering our leadIs Brainchip inside???
Google Open-Sources NPU IP, Synaptics Implements It - EE Times | Sally Ward-Foxton
Google Research has developed an NPU - a RISC-V superscalar CPU designed for edge AI - which it is giving to the industry for free in a bid to try to avoid fragmentation in the edge AI ecosystem. Synaptics Incorporated is the first to incorporate this NPU into production silicon. I spoke with...
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smoothsailing18
Regular
perceptron
Regular
Thanks for posting. This is a great interview.
Tothemoon24
Top 20
Startups like Brainchip (ASX: BRN) with its Akida chip are also critical players, bringing neuromorphic solutions to market for a range of edge AI applications, from smart sensors to autonomous systems. Their agility and focused approach allow them to innovate rapidly and carve out niche markets
The Dawn of Brain-Inspired AI: Neuromorphic Chips Redefine Efficiency and Power for Advanced AI Systems
The Dawn of Brain-Inspired AI: Neuromorphic Chips Redefine Efficiency and Power for Advanced AI Systems
markets.financialcontent.com
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Startups like Brainchip (ASX: BRN) with its Akida chip are also critical players, bringing neuromorphic solutions to market for a range of edge AI applications, from smart sensors to autonomous systems. Their agility and focused approach allow them to innovate rapidly and carve out niche markets
The Dawn of Brain-Inspired AI: Neuromorphic Chips Redefine Efficiency and Power for Advanced AI Systems
The Dawn of Brain-Inspired AI: Neuromorphic Chips Redefine Efficiency and Power for Advanced AI Systems
Another example where BrainChip gets mentioned — but the big players are portrayed as being more advanced, even though they’re not making real progress, while BrainChip already has finished products. Not impressive, if you ask me.
Yep. Definitely will go beyond 30 cents by end of next week. Dare I say, even reaching 50 cents perhaps?!
Not advice as always.
Taproot
Regular
Personally, I would absolutely love to see Brainchip come out on top for hearing aid technology.
We've been hearing about that possibility for many years now.
Sonova, controls about 20% of the world's hearing aid sales and profess to being the world leader in the innovation of hearing technology.
There most recent offering. Deepsonic ( Aug 24 ), took 6 years to develop !
medwatch.com
"DEEPSONIC™ is 53 times more powerful than anything else currently available in the hearing aid industry and can perform an incredible 7.7 billion operations per second. It’s been trained on more than 22 million sound samples to understand the unique characteristics of everyday listening environments — allowing it to accurately separate speech from background noise in real time."
knoxhearing.com.au
The world's first neuromorphic hearing aid solution would be an absolute game changer for BrainChip.
BrainChip’s TENNs-powered Audio Denoising solution marks a significant milestone in the evolution of audio processing technology. By addressing key challenges related to power consumption and computational efficiency, we’re paving the way for a new generation of edge devices capable of delivering crystal-clear audio in any environment. Our Audio Denoising product is just the beginning of what’s possible with TENNs technology, and we’re excited to see how our partners and customers will leverage this powerful algorithm platform to create the next generation of audio-enabled devices. To learn more about how BrainChip’s Audio Denoising solution can elevate your products, contact us for a demonstration or to discuss your specific audio processing needs.
We've been hearing about that possibility for many years now.
Sonova, controls about 20% of the world's hearing aid sales and profess to being the world leader in the innovation of hearing technology.
There most recent offering. Deepsonic ( Aug 24 ), took 6 years to develop !
Sonova CEO: New AI chip puts us far ahead of competitors
“There is no chip like this on the market,” says head of Sonova.
"DEEPSONIC™ is 53 times more powerful than anything else currently available in the hearing aid industry and can perform an incredible 7.7 billion operations per second. It’s been trained on more than 22 million sound samples to understand the unique characteristics of everyday listening environments — allowing it to accurately separate speech from background noise in real time."
How the Audéo Sphere Infinio’s DEEPSONIC Chip Revolutionises Speech Clarity in Noisy Environments - Knox Audiology - Knox Hearing Clinics
Audéo Sphere Infinio, sets a new benchmark in speech understanding - all because of a revolutionary new approach to sound processing through Phonak's DEEPSONIC™ chip.
knoxhearing.com.au
Phonak Sphere Infinio
Phonak has long been known for reliability, and in 2025, its Sphere Infinio models raise the bar by introducing dual-chip AI architecture.- Dedicated AI chip: One chip manages traditional amplification, while the second is dedicated solely to AI sound processing.
- Real-time speech clarity: The AI engine enhances voices while suppressing noise, making it easier to understand in notoriously difficult situations, such as restaurants or group conversations.
- Adaptive learning: Over time, the device “learns” a user’s preferences — for example, how they like to hear in meetings versus at home — and automatically adjusts.
- Spatial awareness: Instead of flattening sound, AI preserves natural 360-degree awareness, allowing users to still discern the direction from which sounds are coming.
The world's first neuromorphic hearing aid solution would be an absolute game changer for BrainChip.
A New Era of Crystal-Clear Audio
BrainChip’s TENNs-powered Audio Denoising solution marks a significant milestone in the evolution of audio processing technology. By addressing key challenges related to power consumption and computational efficiency, we’re paving the way for a new generation of edge devices capable of delivering crystal-clear audio in any environment. Our Audio Denoising product is just the beginning of what’s possible with TENNs technology, and we’re excited to see how our partners and customers will leverage this powerful algorithm platform to create the next generation of audio-enabled devices. To learn more about how BrainChip’s Audio Denoising solution can elevate your products, contact us for a demonstration or to discuss your specific audio processing needs.
Cirat
Regular
I've always felt that the big players are working against us. They don't want any more players to compete with for market share no matter how small our amount would be to the entire market. That's why I was relieved when we finally cracked into the Defence Force and Space Agencies who need the best and are less likely to only go with the big players - a side entrance to the market. I think this must have really annoyed them and they're still trying to subdue us.
Let's hope we can continue to make strides with other companies with similar needs until we can't be ignored and become a necessity.
My thoughts for the day ....... and hurry up with that $9M contract by the end of the year Sean!
GLTA, Not financial advice., DYOR
db1969oz
Regular
I hope your request doesn't fall on deaf ears?Personally, I would absolutely love to see Brainchip come out on top for hearing aid technology.
We've been hearing about that possibility for many years now.
Sonova, controls about 20% of the world's hearing aid sales and profess to being the world leader in the innovation of hearing technology.
There most recent offering. Deepsonic ( Aug 24 ), took 6 years to develop !
Sonova CEO: New AI chip puts us far ahead of competitors
“There is no chip like this on the market,” says head of Sonova.
"DEEPSONIC™ is 53 times more powerful than anything else currently available in the hearing aid industry and can perform an incredible 7.7 billion operations per second. It’s been trained on more than 22 million sound samples to understand the unique characteristics of everyday listening environments — allowing it to accurately separate speech from background noise in real time."
How the Audéo Sphere Infinio’s DEEPSONIC Chip Revolutionises Speech Clarity in Noisy Environments - Knox Audiology - Knox Hearing Clinics
Audéo Sphere Infinio, sets a new benchmark in speech understanding - all because of a revolutionary new approach to sound processing through Phonak's DEEPSONIC™ chip.
Phonak Sphere Infinio
Phonak has long been known for reliability, and in 2025, its Sphere Infinio models raise the bar by introducing dual-chip AI architecture.
This is one of the most true AI hearing aids, with nearly all processing done on-device for speed, privacy, and adaptability.
- Dedicated AI chip: One chip manages traditional amplification, while the second is dedicated solely to AI sound processing.
- Real-time speech clarity: The AI engine enhances voices while suppressing noise, making it easier to understand in notoriously difficult situations, such as restaurants or group conversations.
- Adaptive learning: Over time, the device “learns” a user’s preferences — for example, how they like to hear in meetings versus at home — and automatically adjusts.
- Spatial awareness: Instead of flattening sound, AI preserves natural 360-degree awareness, allowing users to still discern the direction from which sounds are coming.
The world's first neuromorphic hearing aid solution would be an absolute game changer for BrainChip.
A New Era of Crystal-Clear Audio
BrainChip’s TENNs-powered Audio Denoising solution marks a significant milestone in the evolution of audio processing technology. By addressing key challenges related to power consumption and computational efficiency, we’re paving the way for a new generation of edge devices capable of delivering crystal-clear audio in any environment. Our Audio Denoising product is just the beginning of what’s possible with TENNs technology, and we’re excited to see how our partners and customers will leverage this powerful algorithm platform to create the next generation of audio-enabled devices. To learn more about how BrainChip’s Audio Denoising solution can elevate your products, contact us for a demonstration or to discuss your specific audio processing needs.
smoothsailing18
Regular
Very revealing interview, thanks for sharing. Heres a GPT5 summary for the time poor:
Host: NDIA Emerging Tech Horizons Podcast
Within 5 years:
Within 10 years:
Neuromorphic AI is expected to become standard technology in almost every “edge” device that needs real-time awareness — from defense sensors to consumer electronics — without requiring massive power or cloud computing.
In short:
Summary of the Interview
Guest: Dr Steve Harbor, Director of the AI Hardware Research Center of Excellence at Parallax Advanced ResearchHost: NDIA Emerging Tech Horizons Podcast
1. What Neuromorphic AI Is
- Brain-inspired computing that mimics neuron spikes rather than performing sequential math.
- Orders-of-magnitude more efficient than GPUs/CPUs: the human brain ≈ 700 peta-ops on 20 W, while a data-center GPU burns megawatts.
- Adaptive, low-latency, event-driven — it processes information only when something happens.
2. Technical Breakthroughs
- Training directly on neuromorphic chips is now possible — ≈ 2× faster with ~60 % fewer epochs than GPUs.
- Inference ≈ 3× faster, lower power, higher robustness.
- Hybrid CNN + SNN architectures gain up to +10 points accuracy (CIFAR-100 example).
- Spiking networks learn from sparse data, needing only a few samples—more human-like and less brittle.
3. Defense Applications
- Drones & loyal-wingmen aircraft: ultra-low power, micro-second reflexes.
- Electronic warfare & ISR: fast signal recognition, adaptive jamming.
- Soldier-carried systems: lightweight, counter-UAS, edge autonomy.
- Space operations: NASA-funded work with neuromorphic cameras for Mars-flight navigation (no GPS).
- Unattended ground sensors: event-driven = nearly zero idle power.
4. Technology Readiness
- Beyond lab stage; early commercial parts available (BrainChip Akida).
- Major players: Parallax, Intel Loihi, IBM TrueNorth, BrainChip Akida, plus MIT, UC Berkeley/SD, Penn State, Carnegie Mellon, ETH Zürich, Manchester, AFRL, DARPA.
- U.S. is ahead of China in hardware, neck-and-neck in software.
- Near-term civil markets: smartphones, wearables, data centers.
5. Obstacles
- Educational gap: few universities teach neuromorphic architecture.
- Economic pull: adoption will accelerate once data-center power savings and edge needs become undeniable.
Implications & Signals
| Area | What the Interview Reveals | Why It Matters |
|---|---|---|
| Commercial Maturity | Harbor cites BrainChip Akida as “among the first commercialized” neuromorphic chips. | Confirms Akida’s shift from research to deployable hardware—now stocked by Digi-Key and used in rescue & forestry drones. |
| Defense Ecosystem | Mentions Raytheon, AFRL, and Parallax partnerships. | Connects the chain → BrainChip ↔ Parallax ↔ AFRL ↔ RTX (Raytheon); the same ecosystem developing neuromorphic AI for defense and space. |
| On-Chip Learning Validation | Cites 2× faster training / 60 % fewer epochs. | Mirrors Akida’s on-chip learning claims → likely Parallax/AFRL are benchmarking Akida for DoD. |
| Edge Autonomy Deployment | Drone, EW, C-UAS, space, soldier systems highlighted as first adopters. | These are active U.S. defense testbeds where Akida’s low-power, event-based processing gives a clear tactical advantage. |
| Analog Roadmap | Harbor working on a “living processor” + DNA compute layer. | Points to a next wave of analog/bio-hybrid neuromorphics—but digital chips (Akida, Loihi) bridge today’s deployments. |
| Academic and Industry Momentum | Rapid growth in neuromorphic conferences (ORNL, universities). | Expect papers & pilots showing event-based vision and on-chip learning from Parallax and AFRL teams. |
In Plain Terms
- Parallax is the applied research bridge translating neuromorphic AI into flight-tested systems.
- BrainChip provides the ready-to-buy hardware and software stack (MetaTF, Akida) used in those tests.
- RTX / AFRL are the system integrators and funders moving it into DoD programs.
Together they represent the first operational ecosystem for neuromorphic AI in U.S. defense and aerospace.
Outlook
Within 5 years:
- Akida-class chips will start appearing in:
- ISR pods (Intelligence, Surveillance, and Reconnaissance): these sensors will process images and signals on the pod itself, instead of sending data to a remote computer.
- C-UAS systems (Counter-Unmanned Aerial Systems): lightweight, fast-reacting gear that detects and tracks enemy drones using on-board AI.
- Space payloads: satellites and exploration vehicles using neuromorphic chips for low-power navigation and image analysis in orbit or deep space.
- Hybrid SNN/CNN models (spiking + conventional neural networks) will be tested by the U.S. Department of Defense, proving faster, more efficient edge AI.
- Commercial adoption will expand across small drones, industrial sensors, and wearable devices, where long battery life and on-device intelligence matter most.
Within 10 years:
Neuromorphic AI is expected to become standard technology in almost every “edge” device that needs real-time awareness — from defense sensors to consumer electronics — without requiring massive power or cloud computing.
In short:
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