BRN Discussion Ongoing

Diogenese

Top 20
I would not be surprised to see a number of companies trialing with AKIDA1000 chips test in parallel with Gen 2 on AKIDA cloud.
Efficiency and performance gains to good to ignore. Those really intent on adopting AKIDA will get credit towards hardware purchases.
Arquimea are on to it quick smart. Cannot help suspecting that apart from lifesaving they are testing for their defense products.
" Hélder Rodríguez López, Embedded Software Research Engineer at Arquimea Research said, “The Akida Cloud’s ability to provide us advanced access to the latest features of Akida and easily test our neuromorphic model innovations remotely is a real advantage for progressing our advanced model development programs.”"
I can see companies like Tata parallel. Bascom Hunter? etc.
I have the exact same thought about Arquimea and defence.

They can do field trials on their sharkwatch drone, but it is clear that they are in the queue for the Akida cloud with a lot of other early adopters.

There is a great urgency to develop autonomous drones. I can see them having a drone with a km of optical fibre trailing out the back
for target designation, or maybe even laser comms, to avoid electronic countermeasures.

I wonder what cybersecurity measures Akida cloud has, because it will all be commercially sensitive and above. There will need to be firewalls between different customer data.
 
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TheDrooben

Pretty Pretty Pretty Pretty Good
While Larry agrees with all the frustration about the lack of ASX announcements and the effect on the SP as a result and also the shorters doing their faecal trades...Larry has never sold and keeps on buying as he did again today....so thank you to everyone who is keeping the SP at this level.....Larry loves you

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Really Happy as Larry
 
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IloveLamp

Top 20
@Neuromorphia i was doing some back research on o.h.b hellas, and wow......what a great post

Thread 'The Growing Brainchip Akida Ecosystem' https://thestockexchange.com.au/threads/the-growing-brainchip-akida-ecosystem.63596/


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Diogenese

Top 20
Hi @manny100 ,

I guess the fact that the Akida 2 FPGA has only 6 nodes (24 NPUs) is due to the limitation of FPGA technology, in that the FPGA chip only has sufficient circuit elements (logic gates, memory, ...) to build 24 NPUs.

Did you happen to notice whether the Akida 2 cloud FPGA includes VIT? The original announcement from a couple of years ago mentioned that VIT would only be available with the top of the range version, but a lot of water has flowed under the bridge since than.

The Akida 2 IP allows for up to 128 nodes (512 NPUs):

https://www.hackster.io/news/brainc...-vision-transformer-acceleration-5fc2d2db9d65

The company has confirmed that it will be licensing the Akida IP in three product classes: Akida-E will focus on high energy efficiency with a view to being embedded alongside, or as close as possible, to sensors and offering up to 200 giga-operations per second (GOPS) across one to four nodes; Akida-S will be for integration into microcontroller units and systems-on-chip (SoCs), hitting up to 1 tera-operations per second (TOPS) across two to eight nodes; and Akida-P will target the mid- to high-end, and will be the only tier to offer the optional vision transformer acceleration, scaling between eight and 128 nodes with a total performance of up to 50 TOPS.
 
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Frangipani

Top 20

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Unlock Your AI Potential: A Deep Dive into BrainChip’sAkida™ Cloud​


In the rapidly evolving landscape of Artificial Intelligence, having immediate access to the most powerful and efficient tools is paramount. BrainChip is revolutionizing AI development with its innovative Akida Cloud, a platform designed to provide developers with seamless access to the latest neuromorphic processor technology. This cloud initiative focuses on significantly shortening development cycles and empowering creators to bring their AI visions to life faster than ever before.

The core mission of the Akida Cloud is to remove barriers and accelerate innovation. By providing a direct line to the latest Akida technology, developers can program and execute neural networks for immediate results, streamlining the path from concept to product.

The Strategic Advantage of Akida Cloud​


Leveraging the Akida Cloud offers a multitude of strategic benefits for developers, partners, and businesses alike:
  • Accelerated Prototyping: Dive into Akida’s most advanced features and begin prototyping instantly, without waiting for physical hardware.
  • Continuous Innovation: The platform is extensible, meaning as new versions and configurations of Akida are available, they become download and run options on the Akida Cloud.
  • Empowering Partnerships:Partners can effectively demonstrate working models and prototypes to customers, enabling parallel development workflows before hardware is even on-site.
  • Flexible and Accessible: A versatile business model includes options for limited free access and usage-based pricing, with credits applicable to future hardware purchases. An on-premises Akida FPGA Developer Platform is also available for dedicated use.

How to Get Access​


  • Getting started with the Akida Cloud and its “limited free access” is a straightforward process. To begin your journey, you will need to formally request access through the BrainChip website. You can navigate to the “Developer Hub” or the Akida Cloud information page to get access. You will be prompted to provide your contact information and details about your project or interest in the technology. Once submitted, the BrainChip team will respond with the next steps to get you connected to the platform.

Evaluating the Power of Akida: A Step-by-Step Guide​


The true power of the Akida Cloud lies in its hands-on evaluation capabilities. The platform offers a distinct advantage for R&D teams, allowing them to remotely test and refine advanced neuromorphic models. Here is how it works:
  • Seamless Connection: Getting connected is straightforward. By adding a simple configuration to your local SSH file, you can create a secure and persistent “tunnel” to the Akida Cloud server. This works seamlessly across Windows, macOS, and Linux environments.
  • Launch Your Workspace: Once connected, a single command initiates Jupyter Labs. This launches a pre-configured, browser-based environment loaded with all the necessary tools and Akida-specific libraries.
  • Explore and Experiment: Within Jupyter Labs, you will find a comprehensive library of example notebooks. These examples are your gateway to understanding Akida’s capabilities. You can explore a range of applications, from image classification to complex object detection, and run them directly on the second-generation Akida architecture.
  • Real-Time Data Streaming: A key innovation is the ability to stream your own real-time data to the Akida Cloud for inferencing from your local machine. The results can be streamed back to your local machine, providing immediate feedback. This full loop data acquisition, processing and display is demonstrated in applications like eye-tracking, where this rapid feedback loop allows for quick iteration and training, dramatically improving model accuracy under real-world conditions.

The Next Generation of Neuromorphic Power​


The Akida Cloud today runs on the second-generation Akida platform, which delivers a monumental leap in performance—offering up to four times the performance and efficiencyof the first generation. The architecture is also finely tuned to support state-space based Temporal Event-Based Neural Nets (TENNs), making it exceptionally proficient at processing raw, time-sensitive data from video, audio, and other sensors. This advanced capability simplifies model implementation, reduces model size, and speeds up development for a new generation of intelligent edge devices.

A Glimpse into the Future​


The Akida Cloud is not just about today’s technology; it is a platform for the future. BrainChip’s roadmap includes making future versions of Akida available through the cloud, providing access to different node configurations, enhanced memory, and significant architectural improvements. This will allow for custom configurations that enable customers to perfectly match their unique requirements for integration into an IC. Looking ahead, the Akida Cloud platform will support next-generation workloads, with future generations of Akida designed to manage the demands of future AI applications.

About BrainChip​


BrainChip is the worldwide leader in creating Edge AI on-chip processing and learning solutions. Its pioneering Akida™ processor is a fully digital, event-based AI engine that mimics the principles of the human brain. By analyzing only, the essential sensor inputs right at the point of acquisition, Akida delivers unmatched efficiency, precision, and energy economy. BrainChip is dedicated to advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time.
 
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Frangipani

Top 20
Frontgrade Technologies, the US parent company of our Swedish partner Frontgrade Gaisler, is sponsoring an upcoming webinar titled “Golden Dome Architecture: Accelerating Multi-Domain Defense with FPGA Technology”.

Frontgrade Technologies will be represented by three of the five roundtable participants, including their CTO Lorne Graves:


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7für7

Top 20
While Larry agrees with all the frustration about the lack of ASX announcements and the effect on the SP as a result and also the shorters doing their faecal trades...Larry has never sold and keeps on buying as he did again today....so thank you to everyone who is keeping the SP at this level.....Larry loves you

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Really Happy as Larry

While 7 agrees with you about all the frustration caused by the lack of ASX announcements and the resulting effect on the SP …as well as the shorters doing their dirty trades… I also have never sold and keep on buying, as I did again two days ago.
But I still don’t want to thank those who are keeping the SP at this level… and that’s why I hate them!


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Frangipani

Top 20
The EDGX team recently presented their EDGX DPU to the Belgian Federal Minister for Public Enterprises, Civil Service, State Building Management, Digitalization and Science Policy & her entourage, which also included a Programme Manager from the Belgian Science Policy Office (BELSPO):


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By the looks, EDGX are counting down to a launch 🚀 in Q1/2026:

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As LinkedIn doesn’t provide the exact date of the post, I checked out the Minister’s Instagram profile for any clues - et voilà!

Besides finding out that her visit in Ghent must have been on 16 April itself or a couple of days earlier at most (although the lack of time adverbs such as ‘yesterday‘ or ‘last week’ suggest it was likely a same-day post), I also spotted a BrainChip sticker at the EDGX headquarters in Ghent. 😊

So the launch must be scheduled for no later than 1 March 2026, then.

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Our Belgian space-tech partner EDGX just unveiled their new logo with the catchphrase “Sky-high Intelligence” at SmallSat Europe 2025 in Amsterdam, where they’re showcasing their EDGX DPU that was “designed to enable real-time in-orbit edge computing for next-gen missions in Earth Observation, Satcom and In-Orbit Servicing”. It runs on an NVIDIA Jetson Orin NX and comes with an optional neuromorphic Akida module for ultra-low-power applications:


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They also appear to have freshened up their website (which still has the old logo, though): https://www.edgx.space/

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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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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.

Today’s 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 heritage…

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Frangipani

Top 20
Speaking of EDGX - they just closed a €2.3 million funding round:


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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 ’s werelds snelste AI-aangedreven edge-computers voor satellietconstellaties te leveren, waardoor snelle en efficiënte 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, Europa’s 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, efficiëntere 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 commerciële 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 essentiële capaciteit die satellietoperatoren helpt om in real-time te begrijpen hoe frequenties worden gebruikt, interferentie te vermijden en bandbreedte efficiënter 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, efficiëntere 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.

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Met een volledig lanceringsmanifest, gegarandeerde commerciële 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.
NICK DESTRYCKER, OPRICHTER EN CEO EDGX

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: “Klanten wachten niet op vluchtvalidatie, ze tekenen nu al. Met een volledig lanceringsmanifest, gegarandeerde commerciële 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.”

Wouter Benoot, oprichter en CTO van EDGX, zei: “Van 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 ideeën, een drang om de ruimte te begrijpen en een passie om het te realiseren. We bouwen een subsysteem dat de volgende generatie satellieten aandrijft.”

Roald Borré, hoofd Venture Capital en lid van het uitvoerend comité bij PMV, zei: “Deze 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.”

Kris Vandenberk, managing partner bij imec.istart future fund, zei: “EDGX 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 ‘store and forward’-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.”


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Over EDGX

EDGX is een Belgisch ruimtevaartbedrijf met als missie ’s 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 commerciële, 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, België, 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 €2.3 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 €2.3 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 €1.1 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, Europe’s 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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“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.”
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: “Customers aren’t waiting for flight validation; they’re 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.”

Wouter Benoot, founder and CTO of EDGX, said: “Going from zero to 100, all-in, at a space startup is ambitious. Bringing that mindset to Sterna’s 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. We’re building a subsystem that will power the next generation of satellites.”

Borré, Head of Venture Capital and Member of the Executive Committee at PMV, said: “This funding round enables us to support EDGX’s 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 Europe’s technological position in a strategic sector like space.”

Kris Vandenberk, Managing Partner at imec.istart Future Fund, said: “EDGX 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 ‘store and forward’ 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.”

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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
 
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Frangipani

Top 20

View attachment 89419

At this point in time, the AKIDA satellite with an AKD1000 PCIe Card onboard that OHB Hellas has been developing is not slated to handle “fire detection” - according to their concept website https://giasaas.eu/, this application is instead supposed to be performed by their two other satellites: KRIA (equipped with a Xilinx KRIA KV260 Vision AI Starter Kit) and CORAL (equipped with a Google Coral TPU Dev Board):

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-462394

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Unlock Your AI Potential: A Deep Dive into BrainChip’sAkida™ Cloud​


In the rapidly evolving landscape of Artificial Intelligence, having immediate access to the most powerful and efficient tools is paramount. BrainChip is revolutionizing AI development with its innovative Akida Cloud, a platform designed to provide developers with seamless access to the latest neuromorphic processor technology. This cloud initiative focuses on significantly shortening development cycles and empowering creators to bring their AI visions to life faster than ever before.

The core mission of the Akida Cloud is to remove barriers and accelerate innovation. By providing a direct line to the latest Akida technology, developers can program and execute neural networks for immediate results, streamlining the path from concept to product.

The Strategic Advantage of Akida Cloud​


Leveraging the Akida Cloud offers a multitude of strategic benefits for developers, partners, and businesses alike:
  • Accelerated Prototyping: Dive into Akida’s most advanced features and begin prototyping instantly, without waiting for physical hardware.
  • Continuous Innovation: The platform is extensible, meaning as new versions and configurations of Akida are available, they become download and run options on the Akida Cloud.
  • Empowering Partnerships:Partners can effectively demonstrate working models and prototypes to customers, enabling parallel development workflows before hardware is even on-site.
  • Flexible and Accessible: A versatile business model includes options for limited free access and usage-based pricing, with credits applicable to future hardware purchases. An on-premises Akida FPGA Developer Platform is also available for dedicated use.

How to Get Access​


  • Getting started with the Akida Cloud and its “limited free access” is a straightforward process. To begin your journey, you will need to formally request access through the BrainChip website. You can navigate to the “Developer Hub” or the Akida Cloud information page to get access. You will be prompted to provide your contact information and details about your project or interest in the technology. Once submitted, the BrainChip team will respond with the next steps to get you connected to the platform.

Evaluating the Power of Akida: A Step-by-Step Guide​


The true power of the Akida Cloud lies in its hands-on evaluation capabilities. The platform offers a distinct advantage for R&D teams, allowing them to remotely test and refine advanced neuromorphic models. Here is how it works:
  • Seamless Connection: Getting connected is straightforward. By adding a simple configuration to your local SSH file, you can create a secure and persistent “tunnel” to the Akida Cloud server. This works seamlessly across Windows, macOS, and Linux environments.
  • Launch Your Workspace: Once connected, a single command initiates Jupyter Labs. This launches a pre-configured, browser-based environment loaded with all the necessary tools and Akida-specific libraries.
  • Explore and Experiment: Within Jupyter Labs, you will find a comprehensive library of example notebooks. These examples are your gateway to understanding Akida’s capabilities. You can explore a range of applications, from image classification to complex object detection, and run them directly on the second-generation Akida architecture.
  • Real-Time Data Streaming: A key innovation is the ability to stream your own real-time data to the Akida Cloud for inferencing from your local machine. The results can be streamed back to your local machine, providing immediate feedback. This full loop data acquisition, processing and display is demonstrated in applications like eye-tracking, where this rapid feedback loop allows for quick iteration and training, dramatically improving model accuracy under real-world conditions.

The Next Generation of Neuromorphic Power​


The Akida Cloud today runs on the second-generation Akida platform, which delivers a monumental leap in performance—offering up to four times the performance and efficiencyof the first generation. The architecture is also finely tuned to support state-space based Temporal Event-Based Neural Nets (TENNs), making it exceptionally proficient at processing raw, time-sensitive data from video, audio, and other sensors. This advanced capability simplifies model implementation, reduces model size, and speeds up development for a new generation of intelligent edge devices.

A Glimpse into the Future​


The Akida Cloud is not just about today’s technology; it is a platform for the future. BrainChip’s roadmap includes making future versions of Akida available through the cloud, providing access to different node configurations, enhanced memory, and significant architectural improvements. This will allow for custom configurations that enable customers to perfectly match their unique requirements for integration into an IC. Looking ahead, the Akida Cloud platform will support next-generation workloads, with future generations of Akida designed to manage the demands of future AI applications.

About BrainChip​


BrainChip is the worldwide leader in creating Edge AI on-chip processing and learning solutions. Its pioneering Akida™ processor is a fully digital, event-based AI engine that mimics the principles of the human brain. By analyzing only, the essential sensor inputs right at the point of acquisition, Akida delivers unmatched efficiency, precision, and energy economy. BrainChip is dedicated to advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time.

View attachment 89420



Unlock Your AI Potential: A Deep Dive into BrainChip’sAkida™ Cloud​


In the rapidly evolving landscape of Artificial Intelligence, having immediate access to the most powerful and efficient tools is paramount. BrainChip is revolutionizing AI development with its innovative Akida Cloud, a platform designed to provide developers with seamless access to the latest neuromorphic processor technology. This cloud initiative focuses on significantly shortening development cycles and empowering creators to bring their AI visions to life faster than ever before.

The core mission of the Akida Cloud is to remove barriers and accelerate innovation. By providing a direct line to the latest Akida technology, developers can program and execute neural networks for immediate results, streamlining the path from concept to product.

The Strategic Advantage of Akida Cloud​


Leveraging the Akida Cloud offers a multitude of strategic benefits for developers, partners, and businesses alike:
  • Accelerated Prototyping: Dive into Akida’s most advanced features and begin prototyping instantly, without waiting for physical hardware.
  • Continuous Innovation: The platform is extensible, meaning as new versions and configurations of Akida are available, they become download and run options on the Akida Cloud.
  • Empowering Partnerships:Partners can effectively demonstrate working models and prototypes to customers, enabling parallel development workflows before hardware is even on-site.
  • Flexible and Accessible: A versatile business model includes options for limited free access and usage-based pricing, with credits applicable to future hardware purchases. An on-premises Akida FPGA Developer Platform is also available for dedicated use.

How to Get Access​


  • Getting started with the Akida Cloud and its “limited free access” is a straightforward process. To begin your journey, you will need to formally request access through the BrainChip website. You can navigate to the “Developer Hub” or the Akida Cloud information page to get access. You will be prompted to provide your contact information and details about your project or interest in the technology. Once submitted, the BrainChip team will respond with the next steps to get you connected to the platform.

Evaluating the Power of Akida: A Step-by-Step Guide​


The true power of the Akida Cloud lies in its hands-on evaluation capabilities. The platform offers a distinct advantage for R&D teams, allowing them to remotely test and refine advanced neuromorphic models. Here is how it works:
  • Seamless Connection: Getting connected is straightforward. By adding a simple configuration to your local SSH file, you can create a secure and persistent “tunnel” to the Akida Cloud server. This works seamlessly across Windows, macOS, and Linux environments.
  • Launch Your Workspace: Once connected, a single command initiates Jupyter Labs. This launches a pre-configured, browser-based environment loaded with all the necessary tools and Akida-specific libraries.
  • Explore and Experiment: Within Jupyter Labs, you will find a comprehensive library of example notebooks. These examples are your gateway to understanding Akida’s capabilities. You can explore a range of applications, from image classification to complex object detection, and run them directly on the second-generation Akida architecture.
  • Real-Time Data Streaming: A key innovation is the ability to stream your own real-time data to the Akida Cloud for inferencing from your local machine. The results can be streamed back to your local machine, providing immediate feedback. This full loop data acquisition, processing and display is demonstrated in applications like eye-tracking, where this rapid feedback loop allows for quick iteration and training, dramatically improving model accuracy under real-world conditions.

The Next Generation of Neuromorphic Power​


The Akida Cloud today runs on the second-generation Akida platform, which delivers a monumental leap in performance—offering up to four times the performance and efficiencyof the first generation. The architecture is also finely tuned to support state-space based Temporal Event-Based Neural Nets (TENNs), making it exceptionally proficient at processing raw, time-sensitive data from video, audio, and other sensors. This advanced capability simplifies model implementation, reduces model size, and speeds up development for a new generation of intelligent edge devices.

A Glimpse into the Future​


The Akida Cloud is not just about today’s technology; it is a platform for the future. BrainChip’s roadmap includes making future versions of Akida available through the cloud, providing access to different node configurations, enhanced memory, and significant architectural improvements. This will allow for custom configurations that enable customers to perfectly match their unique requirements for integration into an IC. Looking ahead, the Akida Cloud platform will support next-generation workloads, with future generations of Akida designed to manage the demands of future AI applications.

About BrainChip​


BrainChip is the worldwide leader in creating Edge AI on-chip processing and learning solutions. Its pioneering Akida™ processor is a fully digital, event-based AI engine that mimics the principles of the human brain. By analyzing only, the essential sensor inputs right at the point of acquisition, Akida delivers unmatched efficiency, precision, and energy economy. BrainChip is dedicated to advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time.
I wonder if this came about and was fast tracked due to the Qualcomm takeover of edge impulse !. Ether or it is a great addition 👍
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Labsy

Regular
While 7 agrees with you about all the frustration caused by the lack of ASX announcements and the resulting effect on the SP …as well as the shorters doing their dirty trades… I also have never sold and keep on buying, as I did again two days ago.
But I still don’t want to thank those who are keeping the SP at this level… and that’s why I hate them!


View attachment 89439
Ditto... Never sold, keep buying.
I'm planning on retiring in 4 years. I'm 49years old and can work longer if necessary but hopeful Brainchip comes through with the good 👍😊
 
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What in the world of Neuromorphia is going on? Did I wake up in a different dimension??


Overview: BrainChip, with Chinese partnerships, develops the Akida chip, valued at $50 million, for edge AI and autonomous systems.

  • Applications:
    • Autonomous Vehicles: Processes sensor data 40% faster than GPUs, per BrainChip.
    • Security: Enhances real-time surveillance with facial recognition.
    • IoT: Powers smart home devices with low-latency AI.
  • Impact: Integrated into 2 million vehicles globally, including collaborations with NIO.
  • 2025 Outlook: BrainChip aims to expand into smart manufacturing, targeting $100 million in contracts.”

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Some intriguing “likes” have popped up on Jonathan Tapson’s recent post about his visit to Washington - among them, Manu Rastogi from Apple and Antje Ihlefeld from Meta.

A bit of digging led me to a December 2005 issue of The Neuromorphic Engineer, which describes a project that Jonathan and Antje Ihlefeld appear to have collaborated on back then. The same article also details another project involving Tobi Delbruck and Jonathan.

For context, Tobi Delbruck is a Professor in the Sensors Group at the Institute of Neuroinformatics (a joint venture between the University of Zurich and ETH Zurich) and the co-founder of iniVation - a direct competitor to Prophesee, recently acquired by SynSense.

Another familiar name in that article is Andre van Schaik. Judging by Jonathan’s light-hearted LinkedIn post about the Ikea chair 11 months ago, it’s clear Jonathan, Tobi, and Andre share a long-standing and friendly relationship.






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7für7

Top 20
What in the world of Neuromorphia is going on? Did I wake up in a different dimension??


Overview: BrainChip, with Chinese partnerships, develops the Akida chip, valued at $50 million, for edge AI and autonomous systems.

  • Applications:
    • Autonomous Vehicles: Processes sensor data 40% faster than GPUs, per BrainChip.
    • Security: Enhances real-time surveillance with facial recognition.
    • IoT: Powers smart home devices with low-latency AI.
  • Impact: Integrated into 2 million vehicles globally, including collaborations with NIO.
  • 2025 Outlook: BrainChip aims to expand into smart manufacturing, targeting $100 million in contracts.”


Can you imagine people asking ChatGPT from now on about Brainchip ? lol
 
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White Horse

Regular
What in the world of Neuromorphia is going on? Did I wake up in a different dimension??


Overview: BrainChip, with Chinese partnerships, develops the Akida chip, valued at $50 million, for edge AI and autonomous systems.

  • Applications:
    • Autonomous Vehicles: Processes sensor data 40% faster than GPUs, per BrainChip.
    • Security: Enhances real-time surveillance with facial recognition.
    • IoT: Powers smart home devices with low-latency AI.
  • Impact: Integrated into 2 million vehicles globally, including collaborations with NIO.
  • 2025 Outlook: BrainChip aims to expand into smart manufacturing, targeting $100 million in contracts.”

I just sent them a message, suggesting they check their facts regarding the Chinese partnership.
 
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White Horse

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I just sent them a message, suggesting they check their facts regarding the Chinese partnership.
AI News Hub, Reply.!

Hi John,

Thank you for reaching out and for your sharp feedback on the BrainChip article. I take points like this very seriously.

You've raised a critical question about the alleged partnerships with Chinese companies. I am now in the process of re-verifying the original sources for those specific claims with the diligence they deserve.

My commitment is to 100% accuracy, and your message has initiated an internal review. I will update the article with a clarification or correction as soon as that process is complete.

I appreciate you helping me keep the content on AI News Hub reliable.

Best regards

Wait and see.?
 
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Rach2512

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Thought this was interesting, Tesla scrapping Dojo and turning its focus to real time, edge intelligence for autonomous vehicles.

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