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

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!

https://www.linkedin.com/posts/ali-kayyam-595654353_activation-sparsity-unlocking-efficient-activity-7453530416998686720-PtHc Profil von ali kayyam anzeigen ali kayyam 3. Research Scientist at BrainChip, Inc. 2 Std. Folgen Something I have been working on at BrainChip that I am really proud of is now out 🙌 As AI models grow in size and complexity, efficiency is becoming just as critical as accuracy. One of the most powerful ways to get there is activation sparsity. By exploiting the fact that only a fraction of neurons need to be active at any given time, you can dramatically reduce compute, memory access, energy consumption, and latency without sacrificing performance. For edge AI where power constraints are non-negotiable, this is a game changer 🔥 Not brute-force compute, but smarter, more biologically inspired efficiency. This is where AI acceleration is heading Full whitepaper is linked below, curious what the community thinks 👇 https://bit.ly/4eHm7bs

Brainchip auf LinkedIn https://www.linkedin.com/posts/brainchip-holdings-limited_brainchip-at-the-edge-ai-foundation-generative-activity-7453518900408975360-w7pH Unternehmensseite für BrainChip anzeigen BrainChip 38.566 Follower:innen 3 Std. Bearbeitet We took the stage at the EDGE AI FOUNDATION Generative Edge AI Forum 🤩 Our Solutions Architect, Ritik Shrivastava, presented something we have been working on for a while and are incredibly excited to share with the community. Running Generative AI Locally: An Open SSM Model for Edge Devices. 🔬 Why SSM and not transformers? Unlike transformers, our SSM-based model has a constant size state that does not grow with context length. Less memory movement. Less power. Generative AI that actually works on edge hardware. Missed it live? Watch the recording now 👇 https://bit.ly/4tZN8Ly

Liegst an Symphony, an Akida, oder an der Harmonie beider 🤷‍♂️ Bleibt spannend

Auch interessant! https://www.linkedin.com/posts/kevin-d-johnson-42170b_kevin-d-johnson-activity-7453452751281508352-RrQS Profil von Kevin D. Johnson anzeigen Kevin D. Johnson 3. Field CTO – HPC + AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 1 Std. I have a lot of new connection requests recently. If you're new to my technical work with things like Symphony and BrainChip's neuromorphic Akida products, my personal site contains a list of all my recent demos as well as my writing: https://kevindjohnson.org