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

https://world.einnews.com/amp/pr_news/907378000/brainchip-to-unveil-2026-future-technology-roadmap-in-keynote-presentation BrainChip to Unveil 2026 Future Technology Roadmap in Keynote Presentation​ BrainChip neuromorphic computing Brainchip logo Brainchip Limited Holding Co (ASX:BRN) LAGUNA HILLS, CA, UNITED STATES, April 22, 2026 /EINPresswire.com/ -- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic artificial intelligence technology, today announced it will host a dedicated Technology Roadmap presentation on Wednesday, May 6, 2026, at 10 a.m. AEST. The presentation, led by Chief Development Officer Dr. Jonathan Tapson, will provide an in-depth look at the company’s strategic vision and upcoming innovations. Key highlights will include development plans for the Akida™ processor, Generative AI (Gen AI) integration, and the expansion of the company’s software tools, models, and hardware offerings. "BrainChip is advancing the future of intelligent computing by bringing AI closer to the sensor and closer to real-time," said a company representative. This session will detail how BrainChip’s innovations, such as Temporal Event-based Neural Networks (TENNs), are enabling scalable, real-time intelligence for industries ranging from aerospace and autonomous vehicles to consumer wearables. ________________________________________ Event Details The presentation will be held at the Sydney Harbour Marriott Hotel in the Thomas Keneally Room. • In-Person Attendance: Registration opens 10 minutes prior to the session start. • Virtual Attendance: A live webcast will be available for global participants at: https://meetings.lumiconnect.com/300-938-885-632. The 35-minute technology session will precede the company’s Annual General Meeting. ________________________________________ About BrainChip Holdings Ltd BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition. This allows for data processing with unmatched efficiency, precision, and energy economy, making low-power AI deployable across industrial IoT, robotics, and more. For more information, visit www.brainchip.com. Investor Contact: IR@brainchip.com Madeline Coe BoSpar Communications 1 224-433-9056 email us here Visit us on social media: LinkedIn

Und Steve wurde was gefragt https://www.linkedin.com/posts/fixxxxxxer_edgeai-edgeaisandiego-realvoices-ugcPost-7450001619636600832-pvr1

Brainchip Post https://www.linkedin.com/posts/brainchip-holdings-limited_sensorsconverge-edgeai-neuromorphic-activity-7452809086657798144-qFnc Unternehmensseite für BrainChip anzeigen BrainChip 38.481 Follower:innen 3 Std. Bearbeitet AkidaTag will be at Sensors Converge 2026! 🧠 Come see a real, physical working AkidaTag at Booth 925 in the Edge AI Foundation Pavilion. A complete reference platform delivering personalized, battery-powered intelligence for wearables and smart devices. Always-on. Self-on-device learning. Privacy-first. No cloud. No compromise 🔋 Bring your colleagues and come meet the BrainChip team! 📅 May 5–7, 2026 📍 Santa Clara Convention Center, Santa Clara, CA

Kevin’s demo https://www.linkedin.com/posts/kevin-d-johnson-42170b_some-great-conversations-today-about-symphony-activity-7452811793388707843-muJm

https://www.linkedin.com/posts/kevin-d-johnson-42170b_im-going-to-submit-a-proposal-or-two-for-activity-7452695158581551105-pKC3 Profil von Kevin D. Johnson anzeigen Kevin D. Johnson 3. Field CTO – HPC AI | Principal HPC Cloud Technical Specialist at IBM | Symphony • GPFS • LSF 2 Std. I’m going to submit a proposal or two for this, I think, given my work with BrainChip‘s platform. Lots to talk about on this score. Also, I’ve been experimenting with ARC-AGI-3 testing. Profil von Claudio Gallicchio anzeigen Claudio Gallicchio 3. Associate Professor of Machine Learning at the University of Pisa, Italy - Available for consulting on Dynamical Systems, Reservoir Computing, Graph Neural Networks 5 Std. Folgen 🧠⚡ Where does deep learning meet the physics of computation? Thrilled to share the 4th International Workshop on Deep Learning meets Neuromorphic Hardware (DLMNH 2026) — co-located with ECML-PKDD 2026 in Naples 🇮🇹 on September 7, 2026. As deep learning keeps scaling, so do its energy and sustainability costs. Neuromorphic computing offers a radically different path: computation, memory, and learning emerging from the dynamics of physical substrates — not just from digital abstractions. The interplay between the two is opening new directions in learning theory, model design, and hardware-aware AI. 📢 Call for contributions — we welcome original research, position papers, and extended abstracts on topics including: 🔸 Reservoir computing, lightweight & semi-randomized neural networks 🔸 Continuous-time RNNs and Neural ODEs 🔸 Spiking neural networks & training beyond backpropagation 🔸 Photonic, analog, in-memory, in-materia, and quantum computing substrates 🔸 Hardware-friendly architectures & scalability 🔸 Ethical and societal implications of energy-efficient AI

Auch hier noch interessant https://www.linkedin.com/posts/danilopietropau_generative-edge-ai-reasoning-agentic-activity-7452561687007727616-coGG

Hat wohl jemandem nicht gepasst … und warum BN das gelöscht hat würde mich interessieren… das ist ein offizieller Post von Brainchip Brainchip Post LinkedIn https://www.linkedin.com/posts/brainchip-holdings-limited_radar-reference-platform-activity-7452506983825469440-_DAV BrainChip 38.418 Follower:innen 1 Std. Radar detects. Akida classifies Traditional radar can tell you something is there. It cannot tell you what it is. That gap between detection and understanding is exactly where BrainChip's Radar Reference Platform steps in. In our latest technical deep dive, Samir Jaber breaks down how micro-Doppler signatures act as a *** for aerial objects, and how the Akida AKD1500 can classify drones, birds, and debris in real time at under 2W, with zero cloud dependency. The result: radar that doesn't just see, it understands. Read the full blog: https://bit.ly/4trLhQ7 Learn More: https://bit.ly/48PtBF

https://www.linkedin.com/posts/aepaesaeyaewaetabraepaesaehaepaesaetaeyabraesaesaenaeqaexaepaehabraewaepaesaepaeqaesaeraepaez-ugcPost-7452390507525103617-qTBM?utm_source=share&utm_medium=member_android&rcm=ACoAAD6X7toBoxRJxdlvjSXR0_jJyapeUqqgcag

Hatten wir das schon ... The Thinking Machines Are Learning to Kill https://www.linkedin.com/pulse/thinking-machines-learning-kill-david-sehyeon-baek-pvidc?utm_source=share&utm_medium=member_android&utm_campaign=share_via

Wenn wir da mit "reinrutschen" wäre es cool ... gehört dazu ... https://www.parsons.com/federal-aviation/ ... Bewährte Innovationen in den Bereichen KI, Cybersicherheit und Beschaffung Führende kritische Modernisierung in den Bereichen KI und Cybersicherheit ....

Etwas über onsor .. https://www.linkedin.com/posts/zahra-al-lawati-35157684_followers-attention-tech-ugcPost-7452061818803429376-b_8q?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFcSUdwBmD4nWsAtMrniAGrXM4dzxvBkHRg&utm_campaign=copy_link

Etwas über Kevin von Kevin ... https://www.linkedin.com/posts/kevin-d-johnson-42170b_palantir-palantirfoundry-pltr-activity-7452357491302117376-7OfS?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFcSUdwBmD4nWsAtMrniAGrXM4dzxvBkHRg&utm_campaign=copy_link

https://www.linkedin.com/posts/kevin-d-johnson-42170b_sneak-peek-satellite-demo-comingusual-activity-7452363785312374784-bNuV?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFcSUdwBmD4nWsAtMrniAGrXM4dzxvBkHRg&utm_campaign=copy_link

https://www.linkedin.com/posts/kevin-d-johnson-42170b_radar-platform-webinar-live-activity-7452361385310863360-_DkM?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFcSUdwBmD4nWsAtMrniAGrXM4dzxvBkHRg&utm_campaign=copy_link

Nicht nur Du