God bless themAfternoon 7fur7 ,
Well according to RockerRothsGettyFellerChild Inc .LLC . ,Last report on 9th July 2024 where the FAIR VALUE was AU$7.1171 , weeeeev got some ways to go .
.
NOT FINANCIAL ADVICE , WHEN IN DOUBT ALWAYS INSULT A FULLY CERTIFYED FINANCIAL BOFFIN.
Regards ,
Esq.
"Want more performance?"
Porsche was kicked out from the German DAX yesterday ⌠itâs just a high performance sports car companyâŚ.
This is interesting. No mention of BRN but they have partnered with ARM and RENASES to name a couple
Sonatus AI Director
Sonatus Automator lets OEMs make automotive software updates that instantly create new vehicle functions and streamline vehicle testing and diagnostics.www.sonatus.com
Extract only :-
Sonatus AI Director Unveiled to Power In-Vehicle Edge AI at Scale
New Sonatus platform helps OEMs use AI to transform driving and ownership experiences with greater efficiency and lower costs.
Sunnyvale, Calif., September 3, 2025 â Sonatus, a leading supplier of AI and software-defined vehicle (SDV) solutions, today announced Sonatus AI Director, a game-changing platform that enables OEMs to deploy AI at the vehicle edge. Automotive AI is growing rapidly, projected to reach a market size of $46B annually by 2034*, and in-vehicle edge AI software and services will be an increasingly important component. To meet this demand, Sonatus AI Director provides OEMs and suppliers with an end-to-end toolchain for model training, validation, optimization, and deployment, while seamlessly integrating with vehicle data, executing models in isolated environments, and providing cloud-based remote monitoring of model performance. As a comprehensive toolchain and in-vehicle runtime environment, Sonatus AI Director lowers the barriers to edge AI adoption and innovation compared to todayâs siloed approach using disparate ML development (MLops) tools, reducing effort from months to weeks or days.
OEMs are always seeking innovative ways to deliver customer value across passenger and commercial vehicles throughout their lifecycle. In-vehicle edge AI, fueled by real-time and contextual vehicle data, allows OEMs to unlock new features and capabilities that enable adaptive and personalized driving experiences, proactive maintenance, improved efficiency, and optimal vehicle performance. Instead of relying solely on cloud-based models, Sonatus AI Director lets vehicle manufacturers run AI directly in the vehicle, providing faster response, reducing data upload costs, preserving data and algorithm privacy, and ensuring continuity across intermittent connectivity. Rather than waiting for next-generation ECU hardware, OEMs can use Sonatus AI Director to maximize the value of their existing compute resources, accelerating time-to-market while also providing a path to scale AI performance as new silicon becomes available. Sonatus AI Director supports a range of model types, including physics- and neural network-based models, as well as Small and Large Language Models (SLMs/LLMs), catering to diverse vehicle use cases.
Sonatus AI Director solves key challenges the industry faces in deploying in-vehicle edge AI:
âArtificial intelligence is creating opportunities for new ideas that were never before possible in vehicles,â said Jeff Chou, CEO and co-founder of Sonatus. âWith Sonatus AI Director, we are empowering OEMs to deploy AI algorithms of all types into vehicles easily and efficiently, unlocking new categories and opening up an ecosystem of innovation that connects cloud, silicon, Tier-1 suppliers, and AI model developers.â
- Vehicle manufacturers (OEMs) gain a consistent framework that enables them to deploy models from different vendors with a single platform and across vehicle models.
- Tier-1 suppliers can optimize the systems they deliver to OEMs and more easily leverage AI across hardware and software technologies.
- Silicon providers can help their customers take full advantage of the compute and AI acceleration capabilities their chips offer.
- Suppliers and AI model vendors gain access to the needed input data from across different subsystems while protecting the intellectual property of their models.
Using Sonatus AI Director, an OEM can easily manage and deploy a diverse set of AI models spanning many vehicle subsystems, realizing benefits that include cost, performance, security, and efficiency improvements. Initial launch partners include leading automotive silicon provider NXP, compute IP leader Arm, cloud service provider leader AWS, and a range of subsystem expert model providers: COMPREDICT, Qnovo, Smart Eye, and VicOne. The model vendor launch partners have seen these benefits in their respective use cases:
- COMPREDICT AI-based Virtual Headlight Leveling Sensor reduces bill of materials (BOM) cost by up to $20 per vehicle by eliminating hardware components. COMPREDICTâs solution empowers OEMs to achieve full 2027 UN R48 compliance with a 100% software approach. The solution is part of COMPREDICTâs broader portfolio of embedded Virtual Sensors for the chassis and powertrain domains, enabling OEMs to reduce costs at scale, boost aftersales revenue, and unlock software-defined sensing easily across vehicle platforms.
- Qnovo Health & Safety Diagnostics (HSD) delivers 98.7% accurate battery fault prediction through multi-metric diagnostics. Integrated with Sonatusâs platform, AI-powered HSD enables deployment anywhere in the vehicle or cloud in a matter of days, creating a battery management solution that adapts to specific vehicles, drivers, and environmental conditions.
- SmartEye cabin monitoring systems can detect distracted drivers with very high accuracy. OEMs apply fixed rules to these detections to determine when to play in-vehicle alerts. With Sonatus AI Director, OEMs can more easily customize these alerts based on holistic driver behavior by combining distraction model outputs with data from other vehicle subsystems.
- VicOne xCarbon Edge AI, a GenAI-based in-vehicle intrusion detection system, enhances threat detection coverage from a single ECU to the entire vehicle. By sending only critical security events to the cloud, it can reduce data transfer and cloud processing costs by up to 60%. With dynamic model scheduling and various in-vehicle data collected by Sonatus AI Director, the system can accurately infer security risks and run compute-intensive AI models even on deployed hardware.
- Sonatus is demonstrating an engine anomaly detection model that can help vehicle engineers find suspicious timestamps without sifting through vast amounts of data while saving associated data upload costs by more than 6X when compared with running the model in the cloud.
HotBot Assistant
That's an interesting question. After conducting a search, I found that BrainChip and Sonatus are indeed related.
Sonatus is a software company that specializes in developing software solutions for edge AI computing. BrainChip, on the other hand, is a leading provider of AI processing solutions, particularly with their Akida chip.
According to publicly available information, Sonatus has partnered with BrainChip to develop an edge AI platform that leverages BrainChip's Akida chip. This partnership aims to provide a comprehensive edge AI solution for various industries, including industrial, automotive, and healthcare.
Would you like more information on this partnership or the specific use cases they're targeting?
The Hyundai Sonata is a mid-size car model manufactured by Hyundai since 1985
1
. It appears that Hyundai is the primary company that produces the Sonata. There is no evidence to suggest that other car companies manufacture the Sonata.
However, it's worth noting that Hyundai and Kia, which is a sister company of Hyundai, often have similar models with different names depending on the region
2
. But specifically, the Sonata model is unique to Hyundai.
Why itâs probably fake: What is true:
Bottom line:
Renesas is the linkWar of the bots just startedâŚ. My chatty answer
- BrainChip lists its partners transparently (Raytheon, ISL, MegaChips, VVDN, etc.) â Sonatus is not on that list.
- Sonatus actively communicates partnerships with Hyundai, LG, Infineon, AWS, and others â BrainChip is never mentioned.
- There is no official press release on âSonatus + BrainChip.â If such a partnership existed, it would have been picked up by major automotive or semiconductor media outlets.
- Sonatus operates in the field of software-defined vehicles (SDV) and edge AI.
- BrainChip provides neuromorphic hardware (Akida), which in theory could be compatible with SDV software.
- In principle, the two companies could complement each other â but so far there is no confirmed cooperation.
The other post is not backed by any sources and is most likely a fabrication or exaggeration by the bot.
Hmm⌠i seeâŚWell, if you look at it that way, weâre indirectly âconnectedâ to countless companies through our partnersâ partners⌠but that doesnât mean much. What really matters is when BrainChip is openly mentioned. Until then, itâs just speculation. Just my opinion â DYOR.Renases is the link
And thatâs why @Labsy and I made comment. And you were free to comment on Labsys post and I in yours. And now we have all had our say. But jeez. Leave the LinkedIn posts to the sales team.
There are 2 stock exchanges in Australia, ASX and Chi-X. Your quote may be from Chi-X.
It did close at $0.22 then it changed down so I have no idea what happened or what is going on lol
The EDGX team will be presenting their NVIDIA Jetson Orin-based DPU designed for LEO (Low Earth Orbit) missions, which they have now officially named Sterna, at SmallSat (Small Satellite Conference) in Salt Lake City from 10-13 August. The EDGX DPU aka Sterna is being offered with an optional neuromorphic BrainChip Akida add-on (cf. https://satsearch.co/products/edgx-dpu), although strangely this option appears not to be mentioned anywhere on the revamped EDGX website so far.
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đ EDGX at Small Satellite Conference 2025 đ | EDGX
đ EDGX at Small Satellite Conference 2025 đ Weâll be present at this yearâs Small Satellite Conference (SmallSat) in Salt Lake City. If you're attending and exploring how to push the boundaries of onboard data processing, letâs connect. We'll bring along the EDGX Sterna DPU, our...www.linkedin.com
I took the following screenshots exactly a week ago, on 2 August. When I just revisited https://www.edgx.space/, the website shows up largely as black, so maybe they are currently working on it in preparation for SmallSat, which starts on Sunday.
Todayâs countdown to the launch of what I presume to be the first of the three planned missions should accordingly read 193 days (instead of 200 days as per screenshot), which would give us 18 February 2026 as the scheduled launch date for Sterna first acquiring flight heritageâŚ
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Speaking of EDGX - they just closed a âŹ2.3 million funding round:
In de categorie beloftevolle ondernemers zoomt De Tijd vandaag terecht in op Nick Destrycker en Wouter Benoot, de oprichters van de Gentse ruimtevaartstart-up EDGX. | PMV
In de categorie beloftevolle ondernemers zoomt De Tijd vandaag terecht in op Nick Destrycker en Wouter Benoot, de oprichters van de Gentse ruimtevaartstart-up EDGX. EDGX bouwt AI-computersystemen die aan boord van satellieten zeer veel data kunnen verwerken vooraleer naar de aarde te sturen en...
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EDGX sluit een financieringsronde van ⏠2,3 miljoen af om AI-computing aan boord van satellieten te stimuleren
8 aug 2025
De financiering zal de missie van EDGX versnellen om âs werelds snelste AI-aangedreven edge-computers voor satellietconstellaties te leveren, waardoor snelle en efficiĂŤnte gegevensverwerking vanuit de ruimte mogelijk wordt.
De Belgische ruimtevaartstartup EDGX heeft een seed-financieringsronde van ⏠2,3 miljoen afgesloten om de commercialisering te versnellen van EDGX Sterna, de volgende generatie edge AI-computer voor satellieten.
De startup heeft ook een overeenkomst gesloten met een satellietoperator ter waarde van ⏠1,1 miljoen en kan nu al plannen aankondigen voor een demonstratie in de ruimte tijdens een SpaceX Falcon 9-missie in februari 2026.
De financieringsronde werd mee geleid door het imec.istart future fund, met deelname van het Flanders Future Tech Fund, dat wordt beheerd door de Vlaamse investeringsmaatschappij PMV. EDGX heeft ook verdere financiering aangetrokken van bestaande investeerder imec.istart, Europaâs best gerangschikte universiteitsgebonden accelerator.
De EDGX Sterna-computer is een krachtige gegevensverwerkingseenheid (DPU) die wordt aangedreven door NVIDIA-technologie. Deze biedt de rekenkracht en AI-versnelling die nodig zijn om snel en efficient data te verwerken aanboord van sattelieten. Dit maakt een einde aan de traditionele bottleneck waarbij enorme hoeveelheden ruwe gegevens naar de aarde moeten worden gestuurd voor verwerking, waardoor satellietoperatoren snellere, efficiĂŤntere en datagestuurde diensten kunnen leveren.
De Sterna-computer van EDGX wordt aangedreven door hun SpaceFeather-softwarestack, die is gebouwd voor autonome, veerkrachtige en upgradebare satellietoperaties. Deze omvat een ruimtebestendig Linux-besturingssysteem met volledige traceerbaarheid, een speciaal toezichtsysteem voor autonome gezondheidsmonitoring, detectie en herstel van stralingsfouten, en een applicatieframework in een baan om de aarde voor het implementeren van nieuwe mogelijkheden na de lancering. Samen maken SpaceFeather en Sterna slimmere, flexibelere missies mogelijk met minder downtime, lagere kosten en snellere oplevering van data aan de eindgebruikers.
De techniek en het ontwerp van EDGX combineren commerciĂŤle AI-versnelling met betrouwbaarheid van ruimtevaartkwaliteit, waardoor exploitanten van satellietconstellaties kunnen beschikken over een niveau van rekenkracht aan boord dat voordien niet realiseerbaar was. Klanten gebruiken de Sterna DPU van EDGX en de bijbehorende SpaceFeather-software voor verschillende toepassingen.
Voor spectrum monitoring maakt Sterna krachtige verwerking in de ruimte mogelijk om radiosignalen te lokaliseren en te classificeren, en om dynamische spectrumkaarten te genereren. Dit is een essentiĂŤle capaciteit die satellietoperatoren helpt om in real-time te begrijpen hoe frequenties worden gebruikt, interferentie te vermijden en bandbreedte efficiĂŤnter toe te wijzen om optimale communicatiediensten te leveren.
Op het gebied van aardobservatie ondersteunt Sterna intelligente surveillance en verkenning (ISR) door rechtstreeks aan boord hoge-resolutiebeelden te analyseren. Dit betekent dat satellieten objecten zoals schepen, voertuigen of infrastructuur onmiddellijk kunnen detecteren en markeren, en kunnen reageren op tijdgevoelige gebeurtenissen zoals overstromingen, bosbranden of aardbevingen. Het resultaat: snellere beslissingen, efficiĂŤntere missies en levensreddende informatie die passieve observatie omzet in realtime situationeel bewustzijn.
Sterna ondersteunt ook 5G en 6G vanuit de ruimte. Door de verwerkingscapaciteiten van basisstations naar de ruimte te verplaatsen kunnen satellieten rechtstreeks deelnemen aan mobiele netwerken van de volgende generatie. Dit maakt de weg vrij voor naadloze directe connectiviteit met apparaten en levert supersnel internet aan afgelegen, achtergestelde of door rampen getroffen gebieden waar traditionele infrastructuur tekortschiet.
Naast de demonstratie in een baan om de aarde in februari staan er al twee verdere vluchten gepland voor 2026 en EDGX positioneert zich snel als leider op het gebied van AI ruimte-infrastructuur.
In een reactie op het nieuws zei Nick Destrycker, oprichter en CEO: âKlanten wachten niet op vluchtvalidatie, ze tekenen nu al. Met een volledig lanceringsmanifest, gegarandeerde commerciĂŤle contracten en onze eerste missie aanboord van een Falcon 9 rakket van SpaceX, stelt deze financiering ons in staat om op te schalen om te voldoen aan de vraag naar realtime informatie vanuit de ruimte.â
Wouter Benoot, oprichter en CTO van EDGX, zei: âVan nul naar honderd gaan, all-in, bij een ruimtevaartstartup is ambitieus. Die mentaliteit meenemen in de ontwikkeling van Sterna betekende nieuwe uitdagingen, voortdurend leren, maar ook echte vooruitgang. Wat het laat slagen is het team. Elke ingenieur brengt nieuwe ideeĂŤn, een drang om de ruimte te begrijpen en een passie om het te realiseren. We bouwen een subsysteem dat de volgende generatie satellieten aandrijft.â
Roald BorrĂŠ, hoofd Venture Capital en lid van het uitvoerend comitĂŠ bij PMV, zei: âDeze financieringsronde stelt ons in staat om het sterke team van EDGX te ondersteunen bij het op de markt brengen en verder ontwikkelen van veelbelovende Vlaamse technologie. EDGX is een van de weinige Europese spelers die een product aanbiedt dat krachtig, toegankelijk en robuust is, waardoor het unieke voordelen biedt in de snelgroeiende markt voor edge computing in de ruimte, niet in het minst wat betreft het versterken van de technologische positie van Europa in een strategische sector als ruimtevaart.â
Kris Vandenberk, managing partner bij imec.istart future fund, zei: âEDGX vertegenwoordigt precies het soort transformatieve infrastructuur waarnaar we op zoek zijn. De ruimtevaartindustrie kampt met een fundamentele bottleneck: we genereren enorme hoeveelheden data in een baan om de aarde, maar gebruiken nog steeds verouderde âstore and forwardâ-architecturen. EDGX lost dit op door AI-aangedreven edge computing rechtstreeks in de ruimte te brengen, waardoor satellieten gegevens in realtime kunnen analyseren en erop kunnen reageren in plaats van te wachten op verwerking op de grond.â
Over EDGX
EDGX is een Belgisch ruimtevaartbedrijf met als missie âs werelds snelste edge computers voor satellieten te leveren. Het vlaggenschipproduct, EDGX Sterna, is een krachtige AI-gegevensverwerkingseenheid op basis van de NVIDIA Jetson Orin, die realtime gegevensverwerking aan boord in een baan om de aarde mogelijk maakt. EDGX bedient de markten voor satellietcommunicatie/telecommunicatie, aardobservatie en in-orbit servicing in commerciĂŤle, overheids- en defensiesegmenten, met een bijzondere focus op het mogelijk maken van AI en krachtige gegevensverwerking op schaal in satellietconstellaties. EDGX is opgericht in 2023, heeft zijn hoofdkantoor in Gent, BelgiĂŤ, en zal in februari 2026 zijn eerste demonstratie in een baan om de aarde lanceren met een SpaceX Falcon 9.
www.edgx.space
press@edgx.space
Translation into English by Google Translator:
EDGX closes âŹ2.3 million funding round to boost AI computing onboard satellites
August 8, 2025
EQUITY INVESTMENTS
VENTURE CAPITAL
The funding will accelerate EDGX's mission to deliver the world's fastest AI-powered edge computers for satellite constellations, enabling fast and efficient data processing from space.
Belgian space startup EDGX has closed a âŹ2.3 million seed funding round to accelerate the commercialization of EDGX Sterna, its next-generation edge AI computer for satellites.
The startup has also signed a âŹ1.1 million deal with a satellite operator and can already announce plans for an in-space demonstration during a SpaceX Falcon 9 mission in February 2026.
The funding round was co-led by the imec.istart future fund, with participation from the Flanders Future Tech Fund, which is managed by the Flemish investment company PMV. EDGX has also attracted further funding from existing investor imec.istart, Europeâs top-ranked university-based accelerator.
The EDGX Sterna computer is a high-performance data processing unit (DPU) powered by NVIDIA technology. It provides the computing power and AI acceleration needed to quickly and efficiently process data onboard satellites. This eliminates the traditional bottleneck of sending massive amounts of raw data back to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services.
EDGX's Sterna computer is powered by its SpaceFeather software stack, built for autonomous, resilient, and upgradeable satellite operations. This includes a space-hardened Linux operating system with full traceability, a dedicated monitoring system for autonomous health monitoring, radiation fault detection and recovery, and an in-orbit application framework for implementing new capabilities after launch. Together, SpaceFeather and Sterna enable smarter, more flexible missions with less downtime, lower costs, and faster data delivery to end users.
EDGX's engineering and design combine commercial AI acceleration with spacecraft-grade reliability, enabling satellite constellation operators to access previously unattainable levels of onboard computing power. Customers are using EDGX's Sterna DPU and its associated SpaceFeather software for a variety of applications.
For spectrum monitoring, Sterna enables powerful space-based processing to locate and classify radio signals and generate dynamic spectrum maps. This is a critical capability that helps satellite operators understand in real time how frequencies are being used, avoid interference, and allocate bandwidth more efficiently to deliver optimal communication services.
In Earth observation, Sterna supports intelligent surveillance and reconnaissance (ISR) by analyzing high-resolution imagery directly on board. This means satellites can immediately detect and tag objects such as ships, vehicles, or infrastructure, and respond to time-sensitive events like floods, wildfires, or earthquakes. The result: faster decisions, more efficient missions, and life-saving information that transforms passive observation into real-time situational awareness.
Sterna also supports 5G and 6G from space. By moving base station processing capabilities into space, satellites can participate directly in next-generation mobile networks. This paves the way for seamless direct connectivity to devices, delivering high-speed internet to remote, underserved or disaster-affected areas where traditional infrastructure falls short.
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âWith a full launch manifest, secured commercial contracts, and our first mission aboard a SpaceX Falcon 9 rocket, this funding allows us to scale to meet the demand for real-time information from space.â
NICK DESTRYCKER, FOUNDER AND CEO EDGX
In addition to the orbital demonstration in February, two further flights are already planned for 2026, and EDGX is quickly positioning itself as a leader in AI space infrastructure.
Commenting on the news, Nick Destrycker, founder and CEO, said: âCustomers arenât waiting for flight validation; theyâre signing now. With a full launch manifest, secured commercial contracts, and our first mission aboard a SpaceX Falcon 9 rocket, this funding allows us to scale to meet the demand for real-time information from space.â
Wouter Benoot, founder and CTO of EDGX, said: âGoing from zero to 100, all-in, at a space startup is ambitious. Bringing that mindset to Sternaâs development meant new challenges, continuous learning, but also real progress. What makes it work is the team. Each engineer brings new ideas, a drive to understand space, and a passion to make it a reality. Weâre building a subsystem that will power the next generation of satellites.â
BorrĂŠ, Head of Venture Capital and Member of the Executive Committee at PMV, said: âThis funding round enables us to support EDGXâs strong team in bringing promising Flemish technology to market and further developing it. EDGX is one of the few European players offering a product that is powerful, accessible, and robust, giving it unique advantages in the rapidly growing space edge computing market, not least in terms of strengthening Europeâs technological position in a strategic sector like space.â
Kris Vandenberk, Managing Partner at imec.istart Future Fund, said: âEDGX represents exactly the kind of transformative infrastructure we are looking for. The space industry faces a fundamental bottleneck: we generate enormous amounts of data in orbit, yet still use outdated âstore and forwardâ architectures. EDGX solves this by bringing AI-powered edge computing directly into space, enabling satellites to analyze and act on data in real time, instead of waiting for processing on the ground.â
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About EDGX
EDGX is a Belgian space company with a mission to deliver the world's fastest edge computers for satellites. Its flagship product, EDGX Sterna, is a powerful AI data processing unit based on the NVIDIA Jetson Orin, enabling real-time onboard data processing in orbit. EDGX serves the satellite communications/telecommunications, Earth observation, and in-orbit servicing markets across commercial, government, and defense segments, with a particular focus on enabling AI and high-performance data processing at scale in satellite constellations. Founded in 2023, EDGX is headquartered in Ghent, Belgium, and will launch its first in-orbit demonstration in February 2026 aboard a SpaceX Falcon 9.
www.edgx.space
press@edgx.space
The EDGX DPU, based on an NVIDIA Jetson Orin NX and designed for LEO (Low Earth Orbit) missions, can now be sourced through https://satsearch.co/ - with an optional neuromorphic BrainChip Akida add-on:
Happy to welcome EDGX as a satsearch trusted supplier. Introducing the EDGX DPU, a compact, powerful and modular AI processing system purpose-built for smallsats â and hardened for space. đšâŚ | Narayan Prasad
Happy to welcome EDGX as a satsearch trusted supplier. Introducing the EDGX DPU, a compact, powerful and modular AI processing system purpose-built for smallsats â and hardened for space. đš Powered by NVIDIA Jetson Orin NX, this DPU delivers 157 TOPS of AI compute in a <1 kg, 0.5U form...
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EDGX Sterna DPU - Onboard AI Compute powered by NVIDIA | satsearch
The EDGX Sterna DPU is the most optimal earth-like AI processing system hardened to scale in space. Powered by NVIDIA Jetson Orin NX technology, this DPU is designed for powerful, energy-efficient and scalable onboard AI computing for smallsats.satsearch.co
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the global marketplace for the space industry | satsearch
The global marketplace for space, satsearch features space products, sub-systems, components, software, and services from suppliers around the world.satsearch.co
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Can't recall if this recent presentation paper at MWSCAS has been posted (probs) but thought put it up as couldn't be bothered doing a search.
From a group out at Dayton Uni and nice results for Akida against Loihi.
MWSCAS 2025
www.mwscas2025.org
13:30-13:45, Paper TueLecB04.1 Ultra-Efficient Network Intrusion Detection Implemented on Spiking Neural Network Hardware (I) Islam, Rashedul University of Dayton Yakopcic, Chris University of Dayton Rahman, Nayim University of Dayton Alam, Shahanur University of Dayton Taha, Tarek University of Dayton Keywords: Neuromorphic System Algorithms and Applications, Machine Learning at the Edge, Other Neural and Neuromorphic Circuits and Systems Topics
Abstract: Network intrusion detection is crucial for securing data transmission against cyber threats. Traditional anomaly detection systems use computationally intensive models, with CPUs and GPUs consuming excessive power during training and testing. Such systems are impractical for battery-operated devices and IoT sensors, which require low-power solutions. As energy efficiency becomes a key concern, analyzing network intrusion datasets on low-power hardware is vital. This paper implements a low-power anomaly detection system on Intelâs Loihi and Brainchipâs Akida neuromorphic processors. The model was trained on a CPU, with weights deployed on the processors. Three experimentsâbinary classification, attack class classification, and attack type classificationâare conducted. We achieved approximately 98.1% accuracy on Akida and 94% on Loihi in all experiments while consuming just 3 to 6 microjoules per inference. Also, a comparative analysis with the Raspberry Pi 3 and Asus Tinker Board is performed. To the best of our knowledge, this is the first performance analysis of low power anomaly detection based on spiking neural network hardware.
