Food4 thought
Regular
It did close at $0.22 then it changed down so I have no idea what happened or what is going on lol
When will it get out of this rut
BRN Discussion Ongoing
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When will it get out of this rut
Pom down under
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Frangipani
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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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#smallsat2025 #edgx #spacetech #satelliteai #obdp #inorbitprocessing #smallsatconference #sternadpu | EDGX
🚀 EDGX at Small Satellite Conference 2025 🚀 We’ll be present at this year’s Small Satellite Conference (SmallSat) in Salt Lake City. If you're attending and exploring how to push the boundaries of onboard data processing, let’s 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.
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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Speaking of EDGX - they just closed a €2.3 million funding round:
EDGX sluit een financieringsronde van € 2,3 miljoen af om AI-computing aan boord van satellieten te stimuleren | 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 ’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.
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.”
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
Here is an article published yesterday about our Belgian partner EDGX, their Sterna DPU, designed for smallsats and powered by NVIDIA Jetson Orin NX technology, and its first launch into low earth orbit planned for early next year.
The author also mentions that despite the lack of flight heritage, the start-up from Ghent has already secured one large customer deal worth over € 1 million as well as two smaller customers, and that EDGX has identified three key use cases for their space-based edge compute platform:
“EdgX formed a development agreement with the European Space Agency in early 2024 to define an onboard neuromorphic, Data Processing Unit (DPU) tailored for satellite communication constellations in Low Earth Orbit (LEO).
It has a demo launch and flight planned for early 2026 on SpaceX’s Falcon 9, and says it has one large customer deal worth over EUR1 million and two smaller customers already – that’s unusual for a company with no space flight heritage, Destrycker adds.
The company has identified three key use cases for its edge compute device. One is to enable on-board AI processing for spectrum analysis and resource allocation. Another is earth observation and surveillance use cases, and the third is for satellite-based communications, including cellular NTN.”
EDGX aiming high with edge compute platform for NTN - The Mobile Network
It's edge compute, but not as we know it. Belgian start-up reveals plans to enable 5G NTN with space-based edge compute platform.
the-mobile-network.com
EdgX aiming high with edge compute platform for NTN
By Keith Dyer 3 September 2025
It's edge compute, but not as we know it. Belgian start-up reveals plans to enable 5G NTN with space-based edge compute platform.
A Belgian start-up says it has developed an on-board computing platform for satellites that can support 5G base stations and AI workloads in space.
The company, EdgX has developed the Sterna computer – or Data Processing Unit – to provide in-orbit compute and AI processing capabilities.
“We’re focussed on developing the world’s fastest edge compute service on board satellites,” says CEO Nick Destrycker. The device uses Nvidia’s Jetson Orin NX 16GB module, manufacturing it within specially designed hardware to withstand vibration, harsh thermal and vacuum conditions and radiation effects. EdgX also developed its own software operating system to enable on-board updating and software-defined operations, for example to be able to detect and recover from events such as particle radiation without a full reboot.
EdgX formed a development agreement with the European Space Agency in early 2024 to define an onboard neuromorphic, Data Processing Unit (DPU) tailored for satellite communication constellations in Low Earth Orbit (LEO).
It has a demo launch and flight planned for early 2026 on SpaceX’s Falcon 9, and says it has one large customer deal worth over EUR1 million and two smaller customers already – that’s unusual for a company with no space flight heritage, Destrycker adds.
The company has identified three key use cases for its edge compute device. One is to enable on-board AI processing for spectrum analysis and resource allocation. Another is earth observation and surveillance use cases, and the third is for satellite-based communications, including cellular NTN.
Co-founder and CTO Wouter Benoot
Wouter Benoot, co-founder and CTO, says that with the end use case of a regenerative gNodeB in space, you need to have processing autonomy on board the device.
“It’s impossible to for you to manage and operate everything from the ground and take care of all the data streams that are passing by, live on the spot. For example if you want a service that is really resilient against interference, as the spectrum is more and more crowded, then you have to move decision making on board.”
Benoot said that EdgX is seeing end customers interested in being able to do spectrum monitoring and intelligent radio resource allocation, but finding that the traditional space network infrastructure is not built to be open.
Cellular 5G NTN specifications are changing that, as is the concurrent drive towards developing RAN functions that work in containerised platforms. Then the push towards AI-RAN is also beneficial, with its concept of placing AI compute resources near to or at a cell site.
EdgX’s goal is to leave the lower PHY layer alone, but to run upper layer intelligence and processing on its DPU, with an integration between the two.
The driver for that new upper layer platform is that it is too difficult to engineer current FPGA-based systems to integrate well with AI.
“At the upper level layers, programming the entire stack in FPGA not a fun challenge. That’s where the DPU comes in, integrating high performance CPU and GPU AI core processing to alleviate those use cases and tie it into the infrastructure.”
“Our idea is to have a functional split on board where the lower level PHY layers are on FPGA processors and Sterna takes care of the upper layers where intelligence needs to happen. Because we are a fully Software Defined computer, we can play into third-party application software stacks as know that most satellite operators already have a preference for the type of software stack that they want to work with.”
Benoot says EdgX is already carrying out demonstrators with Open RAN software stacks, name-checking the likes of srsRAN, with that functional split running on the FPGA.
“Our goal is an in-orbit demo that ties AI use cases nicely into that computation stack, allocating resources go around interference, or processing earth observation to improve satellite services.”
EdgX recently closed a €2.3 million seed funding round co-led by the imec.istart future fund and, with participation from the Flanders Future Tech Fund, managed by the Flemish investment company PMV.
I couldn’t help notice that the word “neuromorphic” only comes up once in that article, but neither BrainChip nor Akida get referenced at all:
“EdgX formed a development agreement with the European Space Agency in early 2024 to define an onboard neuromorphic, Data Processing Unit (DPU) tailored for satellite communication constellations in Low Earth Orbit (LEO).”
I then revisited SatSearch, which had listed Akida as an optional neuromorphic add-on under the EDGX DPU’s “Key Features” back in May:
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 — and hardened for space. 🔹… | 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 — and hardened for space. 🔹 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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Screenshot taken on 21 May 2025:
Turns out that strangely this add-on option has since been removed, while the remaining “Key Features” appear to be unchanged.
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.
As I noted back in May, EDGX remains listed as a partner under “Enablement Partners” on the BrainChip “Partners” webpage, but has not made it to our company’s landing page - and neither have Neurobus, MulticoreWare (which to this day have never even officially been announced as a partner) and MYW.AI.
Not to mention ANT61, which doesn’t show up at all under “Partners”!
We can only hope it’s mere sloppiness…
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-462834
Frangipani
Top 20
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 Intel’s Loihi and Brainchip’s Akida neuromorphic processors. The model was trained on a CPU, with weights deployed on the processors. Three experiments—binary classification, attack class classification, and attack type classification—are 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.
Just like a few weeks ago, when you yourself had posted about that same conference paper, I’m going to reply with this:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-470870
Frangipani
Top 20
Posters who love to diss our competition will surely say “But… they’re not digital… they don’t have on-chip learning… they’re only good enough for harvesting the low-hanging fruit etc.”, yet, when they really open their eyes, they cannot deny that the team behind Delft-based Innatera are making strides in targeting those low-hanging fruit (which are also part of BrainChip’s market!) and will have to acknowledge that Innatera are very present both on social media and at real-life events (which - at the same time - is good for us, as it helps to spread awareness of the benefits of neuromorphic computing in general).
Some recent examples:
www.linkedin.com
www.linkedin.com
innatera.com
The founder of Innatera partner CYRAN AI Solutions, Manan Suri, is in turn closely connected to TCS Research - he has been a Research Advisor to the TCS Innovation Team on Neuromorphic Computing and Edge AI since June 2021…
… and we know that Sounak Dey from TCS Research does not have Akida-only blinders on when it comes to neuromorphic computing:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-438883
Also cf. this June 2025 paper:
www.eu.socionext.com
Then there was this video by Anastasiia Nosova in her “Anastasi In Tech” YouTube channel a few weeks ago:
In recent months, Innatera have also been really chummy with Pete Bernard and the Edge AI Foundation team:
www.linkedin.com
Some recent examples:
Innatera’s Pulsar microcontroller shines at SEMICON India | Shreyas Derashri
Thrilled to be heading into SEMICON India 2025 (SEMI India) this week 🇮🇳🇳🇱! This event is a milestone for us at Innatera — we are showcasing live use cases built by our partners on our neuromorphic processor. Seeing partners like Aaroh Labs (smart smoke detection) and CYRAN AI Solutions...
#risewithaarohlabs #samiconindia #eaglesmokedetector #launch | Aaroh Labs
𝐈𝐧𝐯𝐢𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐚𝐫𝐨𝐡 𝐋𝐚𝐛𝐬' 𝐒𝐦𝐨𝐤𝐞 𝐃𝐞𝐭𝐞𝐜𝐭𝐨𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐋𝐚𝐮𝐧𝐜𝐡 You're invited to join us at Aaroh Labs as we unveil our innovative Smoke Detector product, powered by Innatera' s cutting-edge Spiking Neural Processor – a brain-inspired architecture that brings ultra-low power consumption...
Innatera’s Pulsar microcontroller shines at SEMICON India
Breakthrough neuromorphic chip brings real-time, ultra-low-power intelligence to next-gen sensing applications
innatera.com
The founder of Innatera partner CYRAN AI Solutions, Manan Suri, is in turn closely connected to TCS Research - he has been a Research Advisor to the TCS Innovation Team on Neuromorphic Computing and Edge AI since June 2021…
The below LinkedIn post is another reminder that our friends at TCS Research - Sounak Dey, Arijit Mukherjee & Arpan Pal - are not exclusively friends with us, when it comes to neuromorphic computing, but also close friends with others developing their own technology in that field, eg. Manan Suri and his research group at IIT Delhi. In 2018, Manan Suri founded CYRAN AI Solutions as a spinoff from that uni lab and has been a Research Advisor to the TCS Innovation Team on Neuromorphic Computing and Edge AI since June 2021.
#indian #industry #deeptech #academia #intelligent #neuromorphic #intelligence #space #sensor #imc | Manan Suri | 12 comments
Common discourse goes- "#Indian #Industry is often not investing in #deeptech R&D while #Academia stays away from ground requirements of the industry" There are increasing number of exceptions to this chatter 🙂! Here, I'll highlight one such close collaboration b/w our research group (at...
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Manan Suri - Indian Institute of Technology, Delhi | LinkedIn
| MIT - TR 35 | IEEE EDS Early Career | Young Scientist NASI | Young Engineer IEI |… · Experience: Indian Institute of Technology, Delhi · Education: Institut national polytechnique de Grenoble · Location: India · 500+ connections on LinkedIn. View Manan Suri’s profile on LinkedIn, a...
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This Engineer’s Hardware Is Inspired by the Brain
Manan Suri’s neuromorphic systems run AI on sensors, drones, and VR headsetsspectrum.ieee.org
This Engineer’s Hardware Is Inspired by the Brain
Manan Suri’s neuromorphic systems run AI on sensors, drones, and VR headsets
EDD GENT
23 JAN 2024
5 MIN READ
Manan Suri displays a wafer-level testing system for unpackaged chips and devices built by researchers at the Indian Institute of Technology Delhi.
MANAN SURI
In work and in life, it’s easy to get stuck in your ways. That’s why Manan Surihas always looked to expand his horizons both professionally and personally.
Growing up in India, he was used to transitions and new experiences because his family frequently moved around the country as his father relocated for his job as a chemical engineer. Traveling stuck with Suri in adulthood. He studied and worked in Dubai, the United States, France, and Belgium over the course of his twenties.
Manan Suri
EMPLOYER:
Indian Institute of Technology Delhi
OCCUPATION:
Associate professor and founder of Cyran AI Solutions, New Delhi
EDUCATION:
Bachelor’s and master’s degrees in electrical and computer engineering, both from Cornell; Ph.D. in nanoelectronics from the CEA-Leti research institute in Grenoble, France
Eventually, Suri moved back to India to become an assistant professor at the Indian Institute of Technology Delhi. There he set up a research group focused on developing brain-inspired (neuromorphic) computer hardware for low-power devices like sensors, drones, and virtual-reality headsets. He is now an associate professor.
He also launched a startup to commercialize his lab’s expertise: Cyran AI Solutions, based in New Delhi, works with companies and government agencies on a variety of projects. These include automating the inspection process for identifying defects in semiconductors and developing computer-vision systems to improve crop yields and analyze geospatial Earth-observation data.
While balancing a career in academia and industry is challenging, Suri says, he relishes the opportunity to constantly learn.
“Once I’ve figured out how a system works, I start getting bored,” he says.
Suri, an IEEE member, believes that embracing change is a key ingredient for success. This is what has driven him to continually move on to new projects, push into new disciplines, and even move from country to country to experience a different way of life.
“It accelerates your ability to learn new things,” he says. “It puts you on a fast trajectory and helps shed some of your inhibitions or get over the inertia in what you’re doing or how you’re living.”
Inspired by Cornell’s semiconductor lab
Growing up, Suri’s passion was physics, but he quickly realized he was drawn more to the practical applications than theory. This led to a fascination with electronics.
In 2005 he initially enrolled at the Birla Institute of Technology and Science, Pilani, in India, and studied electronics and instrumentation at the institute’s campus in Dubai. After his second year, he transferred to Cornell, in Ithaca, N.Y. His first six months living in the United States, acclimating to a new culture and a different academic environment, were overwhelming, Suri says. What hooked him were Cornell’s high-end facilities available to students studying semiconductor engineering and nanofabrication—in particular, the industry-grade semiconductor clean rooms.
He earned a bachelor’s degree in electrical and computer engineering in 2009 and a master’s degree in the same subject the following year.
New skills in computational neuroscience
After graduating, Suri received offers for Ph.D. positions in the United States and Europe to work on conventional electronics projects. But he didn’t want to get pigeonholed as a traditional semiconductor engineer. He was intrigued by an offer to study neuromorphic systems at the CEA-Leti research institute in Grenoble, France. He was also eager to broaden his life experience and get a taste of the European way of doing things.
The work would push Suri to develop new skills in computational neuroscience and computer science. In 2010 he started a Ph.D. program in the institute’s Advanced Memory Technology Group. There he worked on low-power AI hardware that uses new kinds of nonvolatile memory to emulate how biological synapses process data. This involved using phase-change memory and conductive-bridging RAM to create neural networks for visual pattern extraction and auditory pattern sensitivity.
Suri discovered that his experience with electronics allowed him to approach neuromorphic engineering problems from an entirely different angle than his colleagues had considered. Experts can develop fairly rigid and conventional ways of thinking about their own field, he says, but when those with different skill sets apply them to the same problems, it can often lead to more innovative thinking. “You bring a completely different perspective,” he says. “It leads to a lot of creativity.”
Setting up his own research lab
After finishing his doctorate in nanoelectronics, Suri got a job working on high-voltage transistors for automotive applications at the semiconductor designer NXP Semiconductors, in Brussels. Since his role was to take a project all the way from concept to fabrication, it was as close to pure research as he could get in industry. But as interesting as the work was, Suri says, he missed the intellectual freedom of academia.
When the opportunity of setting up his own lab at IIT Delhi came along, he jumped at it. He had also been away from his home country for almost a decade and wanted to be closer to family and contribute to the Indian science and technology ecosystem, he says.
“Moving abroad was more a matter of collecting experiences and seeing how different places work,” he says.
Suri’s group at IIT Delhi has made contributions to AI hardware, neuromorphic hardware, and hardware security. The group collaborates with industry research teams around the world, including Meta Reality Labs, Tata Consultancy Services, and GlobalFoundries.
Launching a startup
Despite returning to academia, Suri says he has always been interested in developing practical solutions to real-world challenges, and this goal has guided his research. Whatever project he works on, he always asks himself two questions: Will it solve a real problem? And will someone buy it?
Suri launched his startup in 2018 to turn some of his lab’s work in AI and neuromorphic hardware into commercial products. Cyran AI Solutions’ customers hire the company to solve a range of problems. These have included computer-vision systems for detecting defects in computer chips; hyperspectral data-analysis algorithms designed to run in real time on chips for crop-inspection drones; and AI systems for small, low-power devices and challenging environments like satellites.
Manan Suri and researchers at the Indian Institute of Technology Delhi’s lab designed this custom electrical test setup for the characterization of memory-computing chips. MANAN SURI
While Cyran makes use of its neuromorphic expertise for some problems, it often uses more mature and simpler-to-deploy machine-learning approaches.
“Most users don’t really care about what technology we are using,” Suri says. “They just want functional performance at the most cost-effective price.”
One of the biggest lessons Suri learned from running a startup is to consider the market being served. For earlier projects, he says, the company often devised a solution that was specific to just one customer’s needs and couldn’t be repurposed for other uses. To create a sustainable business, he realized he needed to develop generic solutions that could be deployed more broadly.
“Running Cyran has been like [pursuing a] mini-MBA,” he says. “You need to really pay attention to the market aspects and not just the technology.”
In 2018, MIT Technology Review named Suri one of its 35 Innovators Under 35for his work on neuromorphic computing.
The need to be hands-on
Keeping a foot in both academia and industry can be challenging, Suri says. Facing resource crunches, whether in time, staffing, or funding, is common. The only way he’s able to manage things is to plan extensively and remain nimble, building in contingencies.
If you can manage it, Suri says, having your fingers in many pies can have major benefits. In particular, working on problems that bridge several disciplines can help you break out of rigid thinking and come up with novel solutions.
It’s not possible to dedicate equal amounts of time to learning every area, he says, so he advises up-and-coming engineers to carefully pick the topics that are most likely to advance their progress. It’s also crucial to dive in and get your hands dirty, rather than focusing on theory, initially.
“Take the plunge and try and figure it out,” he recommends. “As the problem unravels, then you can start getting into the theory or the more formal aspects of the project. You also start to appreciate learning more about the theory as it gets more hands-on.”
View attachment 82698
… and we know that Sounak Dey from TCS Research does not have Akida-only blinders on when it comes to neuromorphic computing:
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-438883
Also cf. this June 2025 paper:
Socionext Europe • What happens when precision radar sensor meets brain-inspired AI?
At Socionext, we’re excited to partner with Innatera to unlock the next generation of smart automation. In our latest video, Miguel Estevez, Product Marketing…
www.eu.socionext.com
Then there was this video by Anastasiia Nosova in her “Anastasi In Tech” YouTube channel a few weeks ago:
In recent months, Innatera have also been really chummy with Pete Bernard and the Edge AI Foundation team:
#edgeai #genedgeai #agenticedgeai #neuromorphic #tinyml #edgeaievents | Pete Bernard
Yes, "I am presenting" - see you in Amsterdam, in late September. The EDGE AI FOUNDATION has coordinated, for the first time, with Wienke Giezeman and his team to bring the edge AI community to The Things Conference. We will have over a dozen partners there, including Arduino, Edge Impulse (a...
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Frangipani
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From biology to business: Neuromorphic computing pathways to intelligent innovation
From algorithms to AI: Promise, power, and the pressing challenges ahead Large scale datasets and in...
From biology to business: Neuromorphic computing pathways to intelligent innovation
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This content is contributed or sourced from third parties but has been subject to Finextra editorial reviewFrom algorithms to AI: Promise, power, and the pressing challenges ahead
Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial intelligence and other emerging technologies, pushing the boundaries of fierce competition for available, scalable and adaptable computing resources.
The magnitude of convoluted problems and the complexity of workloads require novel computing approaches that can perform multiplex computational tasks in a speedy, effective, interoperable, cost-effective and energy-efficient manner, along with, being resilient against cyber threats and attacks. At the same time, the wide variety of these workloads is driving the need for multiple compute options that are able to handle such kind of data-intensive and high-performance operations.
Global data centre infrastructure (excluding IT hardware) capital expenditures are expected to exceed $1.7 trillion by 2030. Moreover, $1 trillion worth of data centres would need to be built in the next several years to support the deployment of generative AI capabilities. Data centres and transmission networks are deemed as responsible for the 1% of global energy-related greenhouse gases. The electricity consumed by data centres globally can more than double by 2026 to more than 1,000 TWhs. Continuous advancements in artificial intelligence will result in data centres end up using 4.5% of globally-generated energy by 2030. Since 2017, global electricity usage by data centres has grown by around 12% annually, more than four times the rate of overall electricity consumption. This new reality projects a data and computational resources tetralemma that is branched across four crucial elements: decarbonisation, affordability, accessibility, and reliability.
Groundbreaking innovations in the design of machines and algorithms have opened new doors for integrating fundamental principles of biology, humanities, neuroscience, and cognitive science, towards the development of human-like artificial intelligence.
When computers think like neurons: The rise of neuromorphic technology
Neuromorphic computing, as an emerging computing engineering concept, receives inspiration from biology and more specifically from the architecture and functioning of the complexity of the biological brain. The human brain, with less than 20 Watts of power consumption and approximately 1000 trillion operations per second, is and remains the most complex, efficient and powerful known structure within our world. The human brain magically outperforms state-of-the art supercomputers in terms of energy and volume, making it a more versatile, a more energy-efficient and a more adaptable information processor. By being positioned in the biology and neuroscience, mathematics, and physics, computer science and electronic engineering nexus, neuromorphic computing envisions to lead a new and exciting chapter in computational growth, beyond the physical limitations of Moore’s Law, the observation, made by Gordon Moore in 1965. According to Moore’s Law, the number of transistors on an integrated circuit (and thus computing power) tends to double approximately every two years, while the cost per transistor decreases. This trend has driven rapid growth in computing performance, however it has also created a major challenge: keeping up requires making transistors smaller and more complex, which is becoming harder, more expensive, and closer to physical limits.
Neuromorphic computing endeavours to emulate the human brain's processing capabilities. By mimicking the structure and operation of biological neural networks, neuromorphic computing aims at replicating the human brain’s, efficiency, adaptability, synaptic plasticity, and learning capabilities, with calculations being performed directly in the memory.
Neuromorphic computing systems use electronic circuits to simulate neurons and synapses, enabling them to process information in ways that are fundamentally different from traditional computers. This parallel processing of data ensures enhanced performance and energy efficiency.
This technological advancement of the next generation of computing becomes crucial because it also enriches our understanding of the brain and cognition, while at the same time it allows for further innovations towards the development of ultra-low power cognitive computing systems. In the future, low-power devices (e.g. smartphones, IoT sensors) will highly likely be able to run powerful AI models, enabling on-the-edge-computing, while gradually reducing current dependencies on cloud resources.
Neuromorphic computing systems can learn from their environment, adapt to changes, and use event-driven processing, improving their performance over time through mechanisms such as synaptic plasticity. The ability to learn and adapt, results in the development of more sophisticated, capable, adaptive and contextual artificial intelligence systems with significant advancements in pattern recognition, autonomous decision making and real-time processing of various events, especially when conditions become unpredictable or variable.
When brains meet machines: How neuromorphic computing could reshape industries
As an emerging technology, neuromorphic computing is considered as a critical enabler within potential business applications and use cases across various industries. In the era of artificial intelligence and machine learning, neuromorphic computing can contribute to optimal performance of deep learning tasks, allowing for the deployment of computer vision and sophisticated natural language processing capabilities. Such kind of tasks require the processing of vast amounts of data at high speeds and the analysis of complex data in real-time for more informed decision making.
Within the field of financial services and capital markets, indicative use cases of neuromorphic include large and complex financial data analysis and processing, fraud detection (neuromorphic-based anomaly detection systems for transaction patterns, hidden correlations and inconsistencies and customer data analysis), risk assessment and evaluation (enhanced by a combination of neuromorphic computing and machine learning for better and accurate precision), optimisation of trading methodologies (via potential synergies between intelligent neuromorphic computing and advanced machine learning algorithms) especially in times of financial market volatility, real-time trading decision-making and anomaly detection in markets, all contributing to financial security and encouraging of sustainable practices. Within financial services and capital markets, an integration of intelligent neuromorphic computing capabilities with machine learning algorithms can potentially lead to robust systems for processing and analysing complex and vast patterns in data, ensuring enhanced precision, scalability, delivery of highly personalized services (e.g. investment advice, loan products, financial planning) and flexibility of financial applications, towards achieving customer satisfaction and loyalty.
Other indicative neuromorphic computing applications include smart vision sensors, speech and image processing, myoelectric prosthetics limbs and control, wearable healthcare systems and computational electronic skin (e-skin), gesture control applications (smart home devices, offices, factories), autonomous and near-human touch sensitive robots, self-driving vehicles and drones.
All these applications showcase that machines require greater adaptability to perform complex tasks by processing sensor information in real-time and making autonomous decisions by continuously learning from their environments. This means that in the future users will be able to interact with computers in more human-like, immersive virtual and augmented reality ways.
Shaping the future: Why business leaders need to pay attention to neuromorphic computing
Discussing neuromorphic computing in business context, goes beyond how computers are actually being designed and used. It is really all about acknowledging and understanding that our ongoing relationship with technology is reshaped and redefined, especially in light of the energy-related and physical limitations posed by traditional computing technologies.
Business leaders need to start thinking strategically in terms of understanding the applications and the anticipated transformative impact of neuromorphic computing by appreciating these upcoming changes, the opportunities for multidisciplinary innovation, the iterative small-scale experimentations and the mobilisation of strategic preparedness and investments. Emerging applications, such as brain-machine interfaces, bioinformatics and neuromorphic chips in IoT devices, pave the way towards a new era of computational innovations.
Businesses need to ensure that they will be fit-for-purpose in terms of maintaining a transient advantage within the future world of computing, along with, reducing their environmental footprints in alignment to their sustainability goals and decarbonisation/net-zero endeavours.
It is critical for business leaders to stay informed about these technological advancements, invest in dedicated neuromorphic computing R&D and consider strategic partnerships with tech companies, neuromorphic chip developers (e.g. Loihi by Intel Lab, TrueNorth by IBM, Akida by BrainChip), universities and research institutions, in order to access cutting-edge neuromorphic computing capabilities, hardware, algorithms and talent.
Boards of directors need to start asking the right questions and be prepared to lead the way as the technology matures, by thinking and answering important ethical, societal, economic, and governance questions, especially in relation to data governance, privacy concerns (gathering, storing and processing private information) and mitigation of bias (ensuring accuracy of data analysis, explainability of outcomes/recommendations and detection of bias in machine learning algorithms and data used for training purposes).
Neuromorphic computing allows us to get a glimpse into the future where machines can think and learn in ways that are more human-like compared to traditional computers, offering challenging but promising avenues towards developing the next generation of intelligent large-scale, accessible, reliable, and energy-efficient computing systems.
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Dimitrios Salampasis
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Most likely that’s just a private @verizon.net email address. In the US many people use Verizon, Comcast, AT&T etc. as their personal providers …RocketReach often pulls those into its listings. Officially, Steve Thorne is VP of Sales at BrainChip, and there’s no evidence of any business link to Verizon. I also couldn’t find any hint on LinkedIn
Pom down under
Top 20
As we were up 7% yesterday I’m guessing we will drop 5% today 
AARONASX
Holding onto what I've got
As we were up 7% yesterday I’m guessing we will drop 5% today
Labsy
Regular
So my baseless, uneducated guess for the current price hike is that it is either a manipulated pump to possibly 24 cents or some inside knowledge on Mercedes release... In which case it will hit 3 dollars. Let's see what it looks like this time next week. Have a good weekend chippers.
MDhere
Top 20
I am really not sure how you get that assumption when there are substantial buys probably covering for the weekend in lead up to whatever is around the corner. But it may be one of your jokes which I never quite get.. I am gathering it is one of those.Not sure about that… looks more like going back to 20,5… 21 …
WOHOOOOOOO
Just as a closing note… I’ve often said that I see all the other partnerships as more promising than always clinging to Mercedes – at least in the long run. And the back-and-forth in the comments from Mercedes’ side… just say no, or ‘not planned at the moment,’ or whatever, instead of making a mystery out of it. Totally overblown in my opinion. DYOR 
Don’t take everything so serious…I don’t have insight into the ordebooks.. I just see when it goes down to 21,8… that’s all… it’s a running gag meanwhile…
Edit 21.5 now..
as I said I just see the current movement and not the buy orders ..It’s interesting that my factual posts are always ignored and hardly noticed, and then later someone—probably one of those who ignore me—reposts it as their own and suddenly gets 2,000 likes. Doesn’t bother me… I’m fine with the few people who understand my humor and at least acknowledge my factual posts. What annoys me is when someone immediately comments on my nonsense fun posts out of boredom, while staying completely silent on my serious ones. If you keep out of my factual posts, then please stay out of my nonsense posts as well. Thanks.
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Pom down under
Top 20
Maybe this is where Sean comes out with an IP license agreement worth $9 million
TheUnfairAdvantage
Regular
An essay. That’s too much effort for your contribution. I heard it was a simple limerick. Here it is in case you missed it.
There was once an odd fellow named Slade.
Put a bet on BRN and thought he would get paid.
And the end of the race, it couldn’t even manage third place.
For now it is Tooheys for poor Slade. Not even enough Thai Baht left to get laid.
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