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

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24. Mai 2026, 19:00 Uhr, Lang & Schwarz
Kommentare 41.848
7FÜR7.
7FÜR7., 1. Mai 15:01 Uhr
1
Meister Kevin Update https://www.linkedin.com/posts/kevin-d-johnson-42170b_demo-update-finally-have-the-rendering-working-activity-7455948115578310656-hpas 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. Demo update, finally have the rendering working, had to cycle through a few options. Unreal Engine=unreal pain, not the ideal tool for what I'm doing here. Heh. So, I switched to something a bit more… | Kevin D. Johnson Demo update, finally have the rendering working, had to cycle through a few options. Unreal Engine=unreal pain, not the ideal tool for what I'm doing here. Heh. So, I switched to something a bit more malleable after testing several different platforms. Now, we're cooking with gas. More to come...
7FÜR7.
7FÜR7., 1. Mai 12:17 Uhr
1

Und Steve nochmal https://www.linkedin.com/posts/steve-brightfield_brainchip-are-excited-to-see-everyone-at-activity-7455820783303643136-CTO5 Profil von Steve Brightfield anzeigen Steve Brightfield 3. Chief Marketing Officer | Marketing, Product Strategies | IP | Chips | Software 6 Std. Folgen BrainChip are excited to see everyone at Embedded Vision Summit and demonstration of our reference platforms and the evolution of the Embedded Vision Summit event.

Gehört dazu https://www.linkedin.com/posts/edgeaivision_delighted-to-welcome-silver-sponsor-brainchip-activity-7455760409854148609-ahZq Unternehmensseite für Edge AI and Vision Alliance anzeigen Edge AI and Vision Alliance 8.352 Follower:innen 10 Std. Folgen Delighted to welcome Silver Sponsor BrainChip to the Embedded Vision Summit, May 11-13 in Santa Clara. Experience the future of physical AI with BrainChip’s Akida technology—neuromorphic efficiency that delivers always-on intelligence at the edge. Designed for battery-constrained devices, Akida enables continuous, real-time performance with zero wake-up delays, on-device sensor processing and data sovereignty built in. Sensitive information never reaches external servers.
7FÜR7.
7FÜR7., 1. Mai 12:16 Uhr
1
Und Steve nochmal https://www.linkedin.com/posts/steve-brightfield_brainchip-are-excited-to-see-everyone-at-activity-7455820783303643136-CTO5 Profil von Steve Brightfield anzeigen Steve Brightfield 3. Chief Marketing Officer | Marketing, Product Strategies | IP | Chips | Software 6 Std. Folgen BrainChip are excited to see everyone at Embedded Vision Summit and demonstration of our reference platforms and the evolution of the Embedded Vision Summit event.
7FÜR7.
7FÜR7., 1. Mai 9:19 Uhr
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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
7FÜR7.
7FÜR7., 1. Mai 9:17 Uhr
1
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
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