Brainchip Klassengruppe WKN: A14Z7W ISIN: AU000000BRN8 Kürzel: BRN Forum: Aktien User: Rarosch

https://www.linkedin.com/posts/neuromorphiccore-ai_when-a-shoe-knows-how-to-think-how-wearable-activity-7454830829975031808-BTcB NeuromorphicCore.AI 190 Follower:innen 1 Tag Folgen The shift from “always-on” AI to event-driven intelligence may define the next phase of the Internet of Bodies. Most wearable systems continuously process data, even when nothing meaningful is happening, draining power and limiting real-world usability. This work from the 2026 Smart Industry Conference points to a different path... Neuromorphic systems that only compute when the body generates a signal. In this case, pressure sensors in a shoe are converted into spike-based inputs, allowing a spiking neural network to learn gait patterns in real time using local STDP. No cloud, no continuous compute, and minimal energy draw. The result isn’t just efficiency. It’s a step toward adaptive, on-device intelligence that can learn directly from the body. Is local STDP the breakthrough medical wearables need or are hardware constraints still the real bottleneck? Read more here: https://lnkd.in/eYRPk-AA #NeuromorphicComputing #SpikingNeuralNetworks #EdgeAI #WearableTech #HealthcareAI #STDP #Loihi2 #Akida #InternetOfBodies

Bisschen was zu lesen mit ner Gegenüberstellung und Bewertung im Vergleich zu anderen unternehmen! https://www.sas.com/en_ph/insights/articles/analytics/accelerating-innovation-with-smarter-ai-hardware.html

Schön das unser IBM Kevin zu sehen ist 💪!

Hab es jetzt erst gesehen gehabt😅✌️

Blutwolf 🫡

Hab ich richtig gelesen?? https://www.linkedin.com/posts/brainchip-holdings-limited_microelectronics-edgeai-neuromorphic-ugcPost-7454666463237525504-McSD “Our”?? Unternehmensseite für BrainChip anzeigen BrainChip 38.714 Follower:innen 7 Min. Microelectronics US 2026 is a wrap! 🤩 What an incredible few days in Austin. The conversations on the floor were electric and the response to everything we brought was something else 🔥 Here is what we showcased: 🧠 AkidaTag — always-on, on-device learning for wearables. No cloud required. 📡 Radar Reference Platform — real-time Micro-Doppler AI classification on traditional radar. Built for defense and autonomous systems. 👁️ Vision Perception — real-time AI visual intelligence at the edge. And for the very first time ever we publicly debuted our IBM Symphony + Akida Heterogeneous Computing Bundle. 🚀 GPU and neuromorphic workloads running together. Up to 90% lower power. No cloud. No compromise. This was a big milestone for us and we are just getting started 👀 Thank you to everyone who stopped by! 👋 #Microelectronics #EdgeAI #Neuromorphic #BrainChip #Akida #AkidaTag #RadarAI #DefenseTech #IBMSymphony #HeterogeneousComputing

Hab den post aus versehen gefunden https://www.linkedin.com/posts/deanbubley_intelligent-radar-classification-with-neuromorphic-activity-7454259298295119872-HOO3 Profil von Dean Bubley anzeigen Dean Bubley 3. Tech, Telecom & AI Analyst & Futurist | Influential advisor with 25yrs+ in Telecoms Strategy, 5G / 6G / Wi-Fi, FTTX, Cloud / AI, Spectrum, Policy. Analogy sharpshooter. Speaking invitations: deanbubley-speaker.com 9 Std. Folgen This is really cool & could change assumptions about #6G #ISAC sensing. An Australian company called BrainChip is proposing using low-power #neuromorphic processors in radar systems to help classify different sensed objects. So for instance, distinguishing a drone vs. a bird from its Doppler signals. Applied to future 6G sensing, that could: - make RF integrated wireless infrastructure sensing more practically useful - but also undermine the arguments about needing #GPUs and MEC-style #edgecomputing for analytics - and reduce the need for “raw” uplink data volumes, by pre-processing on the radio It leads to an interesting question - is #AIRAN too focused on the types of compute needed for normal wireless comms? Will it need a much more diverse processor / architectural vision for the full range of future edge functions? #postdigital #sensing #mobile #wireless https://lnkd.in/eEMznKe9

Where Capacity Really Lives and What Profiles Don't Say https://www.linkedin.com/pulse/where-capacity-really-lives-what-profiles-dont-say-kevin-d-johnson-rpzvc?utm_source=share&utm_medium=member_android&utm_campaign=share_via

Da hat ja sogar Anil geantwortet

Und da ist er https://www.linkedin.com/posts/kevin-d-johnson-42170b_i-built-firemesh-a-neuromorphic-wildfire-ugcPost-7454015687280414720-i-bA

Morgen neues aus Kevins bastel Kiste https://www.linkedin.com/posts/kevin-d-johnson-42170b_symfire-drops-tomorrow-just-some-finishing-activity-7453594997553070080-nREF Kevin D. Johnson 3. Field CTO – HPC AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 57 Min. SymFire drops tomorrow. Just some finishing touches left. Satellite detection, Symphony and Akida style.

Brainchip wird hier erwähnt (fliegen wir bald zum Mars in nem heli??😱) https://www.linkedin.com/posts/david-harbour-741a8622a_osgc-ohiospacegrantconsortium-udengineering-ugcPost-7453533434506825728-oSq2 Profil von David Harbour anzeigen David Harbour 3.+ Student Project Intern & Author. UD; Electrical Engineering (BEE) Student with a Minor in AI & Data Science. 2026–2027 OSGC STEM Scholarship. UD Vision Lab; Neuromorphic Computing, Aerospace AI Researcher 2 Std. Folgen I’m honored to share that I’ve been selected as a recipient of the 2026–2027 Ohio Space Grant Consortium (OSGC) STEM Scholarship, funded by NASA. This opportunity builds on my previous work as an OSGC/NASA intern, where I developed a neuromorphic event-based vision and fuzzy Spiking Neural Network (SNN) model for velocity estimation in Mars-class rotorcraft. That research was presented at the IEEE/AIAA Digital Avionics Systems Conference (DASC 2024). This work was also recently featured in Dayton Magazine as part of a broader effort advancing neuromorphic AI for space systems: https://lnkd.in/gtkxVSDi For this next phase, I will continue my research under Dr. Vijayan K. Asari in the University of Dayton Vision Lab, focusing on: Low-SWaP Neuromorphic Event-Based Vision for Autonomous Mars Rotorcraft using BrainChip Akida Hardware. The goal is to transition validated algorithms from simulation to deployable neuromorphic hardware, enabling real-time, energy-efficient autonomy for aerospace systems operating in GPS-denied environments such as Mars. Additional details on this research direction can be found here: https://lnkd.in/e8phXw5X I’m grateful to Dr. Vijayan Asari, Dr. Kelly Cohen, the University of Dayton, OSGC, and Dr. Rydge Mulford for their continued support. I am excited for what’s ahead!