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

Und der Bub Ali Profil von ali kayyam anzeigen ali kayyam 3. Research Scientist at BrainChip, Inc. 6 Tage 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

Noch ein post Brainchip https://www.linkedin.com/feed/update/activity:7455794375604944897 Unternehmensseite für BrainChip anzeigen BrainChip 38.845 Follower:innen 1 Std. Activation sparsity is one of the most powerful efficiency levers in edge AI and Ali breaks down exactly why it matters and where it is headed. If you are working in deep learning, embedded AI, or edge hardware, this is worth your time. 🧠 Check out ali kayyam's full whitepaper below 👇 https://bit.ly/4t0R8ux

Post von Brainchip https://www.linkedin.com/posts/brainchip-holdings-limited_sensorsconverge-edgeai-wearables-activity-7455752865647828992-hh-8 BrainChip 38.839 Follower:innen 36 Min. Most wearables and IoT devices today are still sending data to the cloud to think. Every inference. Every decision. Sent to a server and back🤔 That means battery drain, latency, and privacy risks built into the device by design. At BrainChip we have been obsessing over a better way. That is exactly why we built AkidaTag and Akida Pico. Always-on, on-device intelligence at battery level power. No cloud required. 🧠 Come see them at the Edge AI Foundation Pavilion at Sensors Converge👀 📅 May 5 to 7 · Booth 925 · EDGE AI FOUNDATION Pavilion · Santa Clara Convention Center #SensorsConverge #EdgeAI #Wearables #BrainChip #AkidaTag #AkidaPico #Neuromorphic #OnDeviceLearning #AIHardware

Und ein neuer Post von Kevin https://www.linkedin.com/posts/kevin-d-johnson-42170b_the-brainchip-akd1000s-keep-analyzing-data-activity-7455606760536428544-ZQJV Kevin D. Johnson 3. Field CTO – HPC + AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 9 Std. Bearbeitet The BrainChip AKD1000s keep analyzing data, here's a night shot of one of the N100 nodes that carry them. New demo coming soon, twelve Akida sensors per unit, 10 units, this will ratchet up the scale to 120 chips, 10 AKD1000s via the N100 edge nodes leading the charge with 110 simulated chips on ten other nodes, all working together. The harder part of this demo is rendering the situation properly on video, Akida orchestration is easy. All the mechanics are done from Anduril Industries Lattice to Palantir Technologies Foundry, all orchestrated by IBM Spectrum Symphony on GPFS. Also doing heavy editing work on two larger papers that will appear on SSRN soon, more philosophical but still quite connected to AI work, these technologies, and my PhD. Stay tuned!

Ein Kommentar von Anil https://www.linkedin.com/posts/anilmankar_kevin-you-amaze-me-every-week-keep-up-the-ugcPost-7455625203428081665-EGQ2 Profil von Anil Mankar anzeigen Anil Mankar 3. CO-Founder and CDO BrainChip Inc 7 Std. Folgen Kevin you amaze me every week keep up the good work Markus May -- 7 Std. Kevin Did you and Akida quickly build the "Golden Dome" over the weekend? 😁 Gefällt mir Antworten 3 Reaktionen Kevin D. Johnson, Grafik Kevin D. Johnson Field CTO – HPC + AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 7 Std. Markus May 🤣 🤣 🤣 Gefällt mir 3 Reaktionen Kevin D. Johnson, Grafik Kevin D. Johnson Field CTO – HPC + AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 7 Std. Anil Mankar Thank you! I believe the technology the Akida platform demonstrates is quite singular in terms of what we can scale out with the dynamic compute platform we have at IBM via Symphony/GPFS.

Ein Artikel von Steve https://www.allaboutcircuits.com/industry-articles/how-neuromorphic-chips-are-revolutionizing-the-edge/

Newsletter von Brainchip https://mailchi.mp/brainchip/brainchip-spring-highlights-advancing-always-on-edge-ai?e=6daddccdc0

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