BRN Discussion Ongoing
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Yoda
Regular
I certainly hope so, as a long-term holder I just feel so battered and bruised with this stock. I had such incredibly high hopes and like many of you I've been so loyal and continued to hold. However, we really need to see the company deliver something positive to renew that hope.
I just published an article on Medium titled "The Rise of Neuromorphic Processors: Bringing Brain-Inspired Computing to Life." It is rather lengthy, at 2100 words, but if you are interested in… | Gary Moore
I just published an article on Medium titled "The Rise of Neuromorphic Processors: Bringing Brain-Inspired Computing to Life." It is rather lengthy, at 2100 words, but if you are interested in neuromorphic processors, it may pique your interest. https://lnkd.in/dHDH6Mwv
I haven't read the report, but noticed Steve has and he thought it was excellent.
Trump says Iran and Israel have agreed to a phased-in ceasefire over next 24 hours
President Donald Trump has declared the “12 day war” between Israel and Iran is set to end in a ceasefire, holding the announcement out as validation for his strategic gamble of ordering a devastating U.S. airstrike over the weekend on three Iranian nuclear sites.
Hope so…
I asked ChatGPT “what in the name of neural networks is going on with Brainchip!? They are so quiet!!!!”
ChatGPT
Master…a period of silence can be either a risk factor or an opportunity – depending on the context.
• In high-innovation sectors like biotech, AI, or semiconductors, silence may actually indicate that a potential game-changer is in the works.
We’ve seen this before: companies go quiet right before breakthroughs – whether due to NDAs, partnerships, or internal milestones. Not always, but often enough to take note.
Edit…GO BRAINCHIP!!!!
ChatGPT
Master…a period of silence can be either a risk factor or an opportunity – depending on the context.
• In high-innovation sectors like biotech, AI, or semiconductors, silence may actually indicate that a potential game-changer is in the works.
We’ve seen this before: companies go quiet right before breakthroughs – whether due to NDAs, partnerships, or internal milestones. Not always, but often enough to take note.
Edit…GO BRAINCHIP!!!!
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Rskiff
Regular
broken, Error 404
Oh missed it
thanks @Dallas
www.linkedin.com
thanks @Dallas Thrilled to meet developers, technologists and partners at Andes RISC-V CON Hsinchu to demonstrate BrainChip’s Akida™ AKD1500 on Andes’ QiLai Voyager Board and AndesCore™ AX45MP 64-bit multicore CPU… | Edward Lien, Executive MBA
Thrilled to meet developers, technologists and partners at Andes RISC-V CON Hsinchu to demonstrate BrainChip’s Akida™ AKD1500 on Andes’ QiLai Voyager Board and AndesCore™ AX45MP 64-bit multicore CPU IP. Pleasure to share how Akida accelerates intelligent compute in RISC-V-based designs to drive...
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Kingkong2015
Regular
Here is a recent interview with Florian Corgnou, CEO of BrainChip partner Neurobus, which was conducted in the run-up to the 12 June INPI* Pitch Contest at Viva Technology 2025, during which five start-ups competed against each other. Neurobus ended up winning the pitch contest by “showcasing our vision for low-power, bio-inspired edge AI for autonomous systems” (see above post by @itsol4605).
*INPI France is the Institut National de la Propriété Industrielle, France’s National Intellectual Property Office.
In this interview, Florian Corgnou mentions NeurOS, an embedded operating system that Neurobus is developing internally. Interesting…
“CF: Traditional AI, based on the deep learning [2], is computationally, data-intensive and energy-intensive. However, the equipment we equip – satellites, micro-drones, fully autonomous robots – operates in environments where these resources are rare, or even absent.
So we adopted a frugal AI, designed from the ground up to work with little: little data (thanks to event cameras), little energy (thanks to neuromorphic chips), and little memory.
This forces us to rethink the entire design chain: from hardware to algorithms, including the embedded operating system that we develop internally, NeurOS.”
I found another reference to NeurOS here: https://dealroom.launchvic.org/companies/neurobus/
MORE ABOUT NEUROBUS
Neurobus is pioneering a new era of ultra-efficient, autonomous intelligence for drones and satellites. Leveraging neuromorphic computing, an AI inspired by the brain’s structure and energy efficiency, our edge AI systems empower aerial and orbital platforms to perceive, decide, and act in real-time, with minimal power consumption and maximum autonomy.
Traditional AI architectures struggle in constrained environments, such as low-Earth orbit or on-board UAVs, where power, weight, and bandwidth are critical limitations. Neurobus addresses this with a disruptive approach: combining event-based sensors with neuromorphic processors that mimic biological neural networks. This unique integration enables fast, asynchronous data processing, up to 100 times more power-efficient than conventional methods, while preserving situational awareness in extreme or dynamic conditions.
Our embedded AI systems are designed to meet the needs of next-generation autonomous platforms in aerospace, defense, and space. From precision drone navigation in GPS-denied environments to on-orbit space surveillance and threat detection, Neurobus technology supports missions where latency, energy, and reliability matter most.
We offer a modular technology stack that includes hardware integration, a proprietary neuromorphic operating system (NeurOS), and real-time perception algorithms. This enables end-users and integrators to accelerate the deployment of innovative, autonomous capabilities at the edge without compromising performance or efficiency.
Backed by deeptech expertise, partnerships with leading sensor manufacturers, and strategic collaborations in the aerospace sector, Neurobus is building the foundation for intelligent autonomy across air and space.
Our mission is to unlock the full potential of edge autonomy with brain-inspired AI, starting with drones and satellites, and scaling to all autonomous systems.
French original:
NEUROBUS : une IA embarquée qui consomme très peu d’énergie
Grâce à une intelligence artificielle sobre et efficiente, Neurobus réinvente, entre Toulouse et Paris, la façon dont les machines perçoivent et interagissent avec leur environnement, ouvrant ainsi la voie vers la conquête des milieux hostiles. Florian Corgnou, son dirigeant et fondateur, nous...www.inpi.fr
NEUROBUS : une IA embarquée qui consomme très peu d’énergie
Grâce à une intelligence artificielle sobre et efficiente, Neurobus réinvente, entre Toulouse et Paris, la façon dont les machines perçoivent et interagissent avec leur environnement, ouvrant ainsi la voie vers la conquête des milieux hostiles. Florian Corgnou, son dirigeant et fondateur, nous en dit un peu plus sur cette start-up de la Deeptech qu’il présentera à Viva Technology, lors du Pitch Contest INPI organisé en partenariat avec HEC Paris.
Pouvez-vous vous présenter en quelques mots ?
Florian Corgnou : Je m’appelle Florian Corgnou, fondateur et CEO de Neurobus, une start-up deeptech que j’ai créée en 2023, entre Paris et Toulouse. Diplômé d’HEC, j’ai fondé une première entreprise dans le secteur du logiciel financier avant de rejoindre le siège européen de Tesla aux Pays-Bas. J’y ai travaillé sur des problématiques d’innovation et de stratégie produit.
Avec Neurobus, je me consacre à une mission : concevoir des systèmes embarqués d’intelligence artificielle neuromorphique, une technologie bio-inspirée qui réinvente la façon dont les machines perçoivent et interagissent avec leur environnement. Cette approche radicalement sobre et efficiente de l’IA ouvre des perspectives inédites pour les applications critiques dans la défense, le spatial, et la robotique autonome.
Notre conviction, c’est que l’autonomie embarquée ne peut émerger qu’en conciliant performance, sobriété énergétique et intelligence contextuelle, même dans les environnements les plus contraints, comme l’espace, les drones légers ou les missions en zones isolées.
Qu’est-ce qui rend votre entreprise innovante ?
F.C. : Neurobus se distingue par l’intégration de technologies neuromorphiques, c’est-à-dire une IA capable de fonctionner en temps réel avec une consommation énergétique ultra-faible, à l’image du cerveau humain.
Nous combinons des caméras événementielles[1] avec des processeurs neuromorphiques pour traiter directement à la source des signaux complexes, sans avoir besoin d’envoyer toutes les données dans le cloud.
Ce changement de paradigme permet une autonomie décisionnelle embarquée inédite, essentielle dans les applications critiques comme la détection de missiles ou la surveillance orbitale.
Florian Corgnou, fondateur et CEO de Neurobus©
Vous avez choisi une IA sobre, adaptée aux contraintes de son environnement. Pourquoi ce choix et en quoi cela change-t-il la façon de concevoir vos solutions ?
F.C. : L’IA traditionnelle, basée sur le deep learning [2], est gourmande en calcul, en données et en énergie. Or, les matériels que nous équipons — satellites, micro-drones, robots en autonomie complète — évoluent dans des environnements où ces ressources sont rares, voire absentes.
Nous avons donc adopté une IA frugale, conçue dès le départ pour fonctionner avec peu : peu de données (grâce aux caméras événementielles), peu d’énergie (grâce aux puces neuromorphiques), et peu de mémoire.
Cela nous force à repenser toute la chaîne de conception : du matériel jusqu’aux algorithmes, en passant par le système d’exploitation embarqué que nous développons en interne, le NeurOS.
Quel est le plus gros défi auquel vous avez dû faire face au cours du montage de votre projet ?
F.C. : L’un des plus grands défis a été de convaincre nos premiers partenaires et financeurs que notre technologie, bien qu’encore émergente, pouvait surpasser les approches conventionnelles.
Cela impliquait de créer de la confiance sans produit final, de prouver la valeur de notre approche avec des démonstrateurs très en amont, et de naviguer dans des écosystèmes exigeants comme le spatial ou la défense, où la crédibilité technologique et la propriété intellectuelle sont clés.
Votre prise en compte de la propriété industrielle a-t-elle été naturelle ? Quel rôle a joué l’INPI ?
F.C. : Dès le début, nous avons compris que la propriété industrielle serait un levier stratégique essentiel pour valoriser notre R&D et protéger notre avantage technologique.
Cela a été naturel, car notre innovation se situe à l’intersection du hardware, du software et des algorithmes.
L’INPI nous a accompagnés dans cette démarche, en nous aidant à structurer notre propriété industrielle — brevets, marques, enveloppes Soleau… — et à mieux comprendre les enjeux liés à la valorisation de l’innovation dans un contexte européen.
[1] Afin d’éviter des opérations inutilement coûteuses en temps comme en énergie, ce type de caméra n’enregistre une donnée qu’en cas de changement de luminosité.
[2] Le Deep learning est un type d'apprentissage automatique, utilisé dans le cadre de l’élaboration d’intelligence artificielle, basé sur des réseaux neuronaux artificiels, c’est-à-dire des algorithmes reproduisant le fonctionnement du cerveau humain pour apprendre à partir de grandes quantités de données.
Titre
Données clés :
Contenu
- Date de création : avril 2023
- Secteur d’activité : Deeptech - IA neuromorphique embarquée (spatial, défense, robotique)
- Effectif : 6
- Chiffre d’affaires : 600 k€ (2024)
- Part du CA consacrée à la R&D : 70 % (estimé)
- Part du CA à l’export : 20 %
- Site web : https://neurobus.space/
Titre
Propriété industrielle :
Contenu
Enveloppe(s) Soleau : 1
English translation provided on the INPI website:
NEUROBUS: an on-board AI that consumes very little energy
Using a simple and efficient artificial intelligence (AI), Neurobus is reinventing the way machines perceive and interact with their environment between Toulouse and Paris, paving the way for conquering hostile environments. Florian Corgnou, its director and founder, tells us a little more about...www.inpi.fr
NEUROBUS: an on-board AI that consumes very little energy
Using a simple and efficient artificial intelligence (AI), Neurobus is reinventing the way machines perceive and interact with their environment between Toulouse and Paris, paving the way for conquering hostile environments. Florian Corgnou, its director and founder, tells us a little more about this Deeptech startup, which he will present at Viva Technology during the INPI Pitch Contest organized in partnership with HEC Paris.
Can you introduce yourself in a few words?
Florian Corgnou: My name is Florian Corgnou, founder and CEO of Neurobus, a start-up deeptech which I created in 2023, between Paris and Toulouse. A graduate of HEC, I founded my first company in the financial software sector before joining Tesla's European headquarters in the Netherlands. There, I worked on innovation and product strategy issues.
With Neurobus, I'm dedicated to a mission: to design embedded neuromorphic artificial intelligence systems, a bio-inspired technology that reinvents the way machines perceive and interact with their environment. This radically sober and efficient approach to AI opens up unprecedented perspectives for critical applications in defense, space, and autonomous robotics.
Our belief is that on-board autonomy can only emerge by reconciling performance, energy efficiency and contextual intelligence, even in the most constrained environments, such as space, light drones or missions in isolated areas.
What makes your company innovative?
CF: Neurobus stands out for its integration of neuromorphic technologies, i.e., an AI capable of operating in real time with ultra-low energy consumption, like the human brain.
We combine event cameras[1] with neuromorphic processors to process complex signals directly at the source, without needing to send all the data into the cloud.
This paradigm shift enables unprecedented on-board decision-making autonomy, essential in critical applications such as missile detection or orbital surveillance.
Florian Corgnou, founder and CEO of Neurobus©
You've chosen a simple AI, adapted to the constraints of its environment. Why this choice, and how does it change the way you design your solutions?
CF: Traditional AI, based on the deep learning [2], is computationally, data-intensive and energy-intensive. However, the equipment we equip – satellites, micro-drones, fully autonomous robots – operates in environments where these resources are rare, or even absent.
So we adopted a frugal AI, designed from the ground up to work with little: little data (thanks to event cameras), little energy (thanks to neuromorphic chips), and little memory.
This forces us to rethink the entire design chain: from hardware to algorithms, including the embedded operating system that we develop internally, NeurOS.
What was the biggest challenge you faced while setting up your project?
CF: One of the biggest challenges was convincing our early partners and funders that our technology, while still emerging, could outperform conventional approaches.
This involved building trust without a final product, proving the value of our approach with early demonstrators, and navigating demanding ecosystems like space or defense, where technological credibility and intellectual property are key.
Was your consideration of industrial property a natural one? What role did the INPI play?
CF: From the outset, we understood that industrial property would be an essential strategic lever to enhance our R&D and protect our technological advantage.
This was natural, because our innovation lies at the intersection of the hardware, with and algorithms. [There seems to be a translation error here, as the French original mentions hardware, software and algorithms: “l’intersection du hardware, du software et des algorithmes.”]
The INPI supported us in this process, helping us to structure our industrial property — patents, trademarks, Soleau envelopes, etc. — and to better understand the issues related to the promotion of innovation in a European context.
[1] To avoid unnecessarily costly operations in terms of time and energy, this type of camera only records data when there is a change in brightness.
[2] Le Deep learning is a type of machine learning, used in the development of artificial intelligence, based on artificial neural networks, that is, algorithms reproducing the functioning of the human brain to learn from large amounts of data.
Title
Key data:
Contents
- Date created: April 2023
- Sector of activity: Deeptech - Embedded neuromorphic AI (space, defense, robotics)
- Number: 6
- Turnover: €600k (2024)
- Share of turnover devoted to R&D: 70% (estimated)
- Share of turnover from exports: 20%
- Website: https://neurobus.space/
Title
Industrial property:
Contents
Soleau envelope(s): 1
*Soleau envelope:
Soleau envelope - Wikipedia
en.m.wikipedia.org
The Soleau envelope (French: Enveloppe Soleau), named after its French inventor, Eugène Soleau [fr], is a sealed envelope serving as proof of priority for inventions valid in France, exclusively to precisely ascertain the date of an invention, idea or creation of a work. It can be applied for at the French National Institute of Industrial Property(INPI). The working principles were defined in the ruling of May 9, 1986, published in the official gazette of June 6, 1986 (Journal officiel de la République française or JORF), although the institution of the Soleau envelope dates back to 1915.[1]
The envelope has two compartments which must each contain the identical version of the element for which registration is sought.[2] The INPI laser-marks some parts of the envelope for the sake of delivery date authentication and sends one of the compartments back to the original depositary who submitted the envelope.[2]
The originator must keep their part of the envelope sealed except in case of litigation.[3] The deposit can be made at the INPI, by airmail, or at the INPI's regional subsidiaries.[2] The envelope is kept for a period of five years, and the term can be renewed once.[3]
The envelope may not contain any hard element such as cardboard, rubber, computer disks, leather, staples, or pins. Each compartment can only contain up to seven A4-size paper sheets, with a maximum of 5 millimetres (0.2 in) thickness. If the envelope is deemed inadmissible, it is sent back to the depositary at their own expense.[2]
Unlike a patent or utility model, the depositor has no exclusivity right over the claimed element. The Soleau envelope, as compared to a later patent, only allows use of the technique, rather than ownership, and multiple people might submit envelopes to support separate similar use, before a patent is later granted to restrict application.
BrainChip appears to be securing a sale via NeuroBus and is hiring a developer to build the model.
Neurobus is based in Toulouse, which is located in the Occitanie region of southern France. Their headquarters are at 2 Rue d'Austerlitz, 31000 Toulouse.
Neurobus is a small, early-stage deep-tech startup founded in 2023, specializing in neuromorphic computing for edge AI applications in space, defense, and autonomous systems. As of 2025, the company comprises approximately 6 employees and operates primarily out of Toulouse and Paris, France
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Fullmoonfever
Top 20
Would presume this has been MB vision posted but couldn't see it. Came out late 2024.
Came up on a Google search but hadn't seen it myself previously and got me thinking.
Would be pretty sure that MB would not be allowing BRN to be using any affiliation to MBs corporate branding on their website unless there was still some connection.
I personally believe that there would have been discussions after the original EQXX post by MB way back when and the overshoot affect it had on the SP at the time.
I expect that the curtain was agreed to be closed in the interim whilst R&D continues and not to be pulled back till something more mkt tangible comes into play.
We know MB has hooked up with Waterloo and that allows newsflow and conversations etc publicly around neuromorphic without the concern of any mkt impacts directly related to BRN.
I do wonder whether we are connected still behind the curtain via Waterloo as well in some capacity as the R&D continues.
Excerpt:
Neuromorphic computing revolutionises energy efficiency and latency in autonomous driving
Future vehicles will include more and more functionalities, with those for autonomous driving being just one example. As this will lead to significantly higher energy requirements, efficiency is a crucial factor. Mercedes‑Benz is a pioneer in automated driving and safety technologies. The vision for the future is autonomous driving, which will redefine the role of the automobile. Not only will it increase safety, efficiency and comfort on the road. It will also give time back to passengers by allowing them to devote their attention to things other than driving. In addition, the autonomous car will communicate with the cities of the future. To realise all this calls for innovative algorithms and hardware components that overcome the limits of today’s computer hardware.
Through research into artificial neural networks, Mercedes-Benz and its partners from research and industry are breaking new ground in the creation of computer architectures. The company recently announced a research cooperation with the Canadian University of Waterloo in the field of neuromorphic computing. By mimicking the workings of the human brain, neuromorphic computing could make AI computations significantly more energy-efficient and faster. Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility. And they could do so ten times more efficiently than current systems. There would be benefits in using a neuromorphic camera for interior monitoring, for example. Instead of full images (frames), it delivers individual pixels (events – hence the name event-based camera). The process is extremely fast with minimal delay. This means, for instance, a rapid system reaction to the blinking of a driver’s eye caused by fatigue. Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems.
Came up on a Google search but hadn't seen it myself previously and got me thinking.
Would be pretty sure that MB would not be allowing BRN to be using any affiliation to MBs corporate branding on their website unless there was still some connection.
I personally believe that there would have been discussions after the original EQXX post by MB way back when and the overshoot affect it had on the SP at the time.
I expect that the curtain was agreed to be closed in the interim whilst R&D continues and not to be pulled back till something more mkt tangible comes into play.
We know MB has hooked up with Waterloo and that allows newsflow and conversations etc publicly around neuromorphic without the concern of any mkt impacts directly related to BRN.
I do wonder whether we are connected still behind the curtain via Waterloo as well in some capacity as the R&D continues.
Pioneering innovations for the car of the future: Mercedes-Benz provides exclusive insights into research activities and future technologies
- Vision of urban futures: for London, Los Angeles and Shenzhen in 2040+
- Hyper-personalised customer experience of the future: through Augmented Reality (AR) and Mixed Reality (MR)
- Neuromorphic computing: more energy efficiency for future autonomous driving
- Technology challenge: researching innovative materials using biotechnology for less environmental impact
- Aerodynamic and virtually maintenance free: the more sustainable in-drive brake
- Vehicles that generate electricity: new potential for electric mileage from solar paintwork
- Game-changing innovative power converter: more efficiency for the high-voltage architecture of the future
Excerpt:
Neuromorphic computing revolutionises energy efficiency and latency in autonomous driving
Future vehicles will include more and more functionalities, with those for autonomous driving being just one example. As this will lead to significantly higher energy requirements, efficiency is a crucial factor. Mercedes‑Benz is a pioneer in automated driving and safety technologies. The vision for the future is autonomous driving, which will redefine the role of the automobile. Not only will it increase safety, efficiency and comfort on the road. It will also give time back to passengers by allowing them to devote their attention to things other than driving. In addition, the autonomous car will communicate with the cities of the future. To realise all this calls for innovative algorithms and hardware components that overcome the limits of today’s computer hardware.
Through research into artificial neural networks, Mercedes-Benz and its partners from research and industry are breaking new ground in the creation of computer architectures. The company recently announced a research cooperation with the Canadian University of Waterloo in the field of neuromorphic computing. By mimicking the workings of the human brain, neuromorphic computing could make AI computations significantly more energy-efficient and faster. Safety systems could, for example, recognise traffic signs, lanes and other road users much better and react faster, even in poor visibility. And they could do so ten times more efficiently than current systems. There would be benefits in using a neuromorphic camera for interior monitoring, for example. Instead of full images (frames), it delivers individual pixels (events – hence the name event-based camera). The process is extremely fast with minimal delay. This means, for instance, a rapid system reaction to the blinking of a driver’s eye caused by fatigue. Neuromorphic computing has the potential to reduce the energy required for data processing in autonomous driving by 90 per cent compared to current systems.
You have to tap the mike three times and then blow on it.
CHIPS
Regular
CHIPS
Regular
🚀 The AI landscape just had a game-changing day! | Kishore Kumar Chandra Shekar
🚀 The AI landscape just had a game-changing day! (06/22/2025) Is the future of AI being written right now? Absolutely. Here’s what you need to know from yesterday’s explosive news cycle: 💡 Cluely just secured a massive $15M investment from a top venture capital firm. This isn’t just another...
The AI landscape just had a game-changing day! (06/22/2025)Is the future of AI being written right now? Absolutely. Here’s what you need to know from yesterday’s explosive news cycle:
Cluely just secured a massive $15M investment from a top venture capital firm. This isn’t just another funding round—Cluely is pushing boundaries in AI, and this capital injection signals a new era of innovation. Expect to see them accelerate product development and challenge the status quo in the months ahead. The confidence from investors is a clear sign: disruptive AI startups are attracting serious attention and resources.
1Stream powered by bvoip has launched 7 new AI-powered agents designed specifically for IT, helpdesk, and managed service providers. This is a huge leap for operational efficiency in tech support. Imagine AI agents that can resolve tickets, automate troubleshooting, and deliver 24/7 support—freeing up human teams to focus on complex challenges. The future of IT support is here, and it’s intelligent, scalable, and always on.
Tesla is rolling out its long-awaited robotaxi service in Texas. This isn’t just a test—it’s a bold step toward autonomous mobility at scale. The implications for urban transportation, safety, and convenience are enormous. If successful, this could redefine how we think about car ownership and daily commutes. The race to autonomous vehicles is heating up, and Tesla is putting its stake in the ground.
Apple is reportedly considering acquiring Perplexity AI to supercharge its AI capabilities. This move could reshape the competitive landscape, giving Apple a major edge in the AI arms race. Integrating Perplexity’s technology could unlock new features, smarter devices, and a more personalized user experience across Apple’s ecosystem. The big question: Will Apple make its boldest acquisition ever to stay ahead?
Ex-OpenAI tech chief has raised a staggering $2B for a new AI startup, Thinking Machine, now valued at $10B. This signals a massive vote of confidence in the next wave of AI innovation. With leadership that’s already shaped the industry, Thinking Machine is poised to tackle some of the toughest challenges in artificial intelligence. Watch this space—breakthroughs are coming.
BrainChip has launched a new developer hub and released MetaTF 2.13, accelerating event-based AI innovation. This is a big win for developers building next-gen AI applications. Event-based AI is set to revolutionize how machines process information, making them faster, more efficient, and more adaptive to real-world scenarios. BrainChip’s latest tools are empowering creators to push the boundaries of what’s possible.The pace of AI progress is breathtaking. Every day brings new breakthroughs, bold bets, and boundary-pushing ideas.
Which of these developments do you think will have the biggest impact on the future of AI? Let’s discuss!
Kingkong2015
Regular
I need to buy more stocks
I believe Neurobus has already secured a client project that involves integrating Akida into its hardware and will depend on BrainChip to provide both the hardware and AI models.
Tothemoon24
Top 20
5.54 minute mark
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