Brainchip Klassengruppe WKN: A14Z7W ISIN: AU000000BRN8 Kürzel: BRN Forum: Aktien User: Rarosch
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Kommentare 41.627
7FÜR7.,
15. Apr 13:27 Uhr
2
Das gehört hier noch dazu
https://www.linkedin.com/feed/update/activity:7450121494443134977
Unternehmensseite für Wevolver anzeigen
Wevolver
168.695 Follower:innen
1 Std.
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Neuromorphic AI is redefining radar, from simple detection to real-time understanding. By leveraging micro-Doppler signatures and BrainChip’s Akida processor, this reference design enables low-power, on-device classification of drones, birds, and debris with sub-2W consumption and no cloud dependency.
Operating entirely at the edge, the system delivers low-latency insights, improved accuracy, and reduced false alarms, which are critical for defense, autonomous systems, and smart infrastructure. It’s a practical blueprint for embedding intelligence directly into radar, transforming it into an autonomous decision-making sensor.
Learn more: https://wevlv.co/3OI4PQS
#engineering #technology #radar #drones #neuropmorphic
BrainChip
Ruhig_bleiben,
15. Apr 12:25 Uhr
5
Könnt ihr euer Rumgespamme bitte im Hauptforum machen? Danke!
7FÜR7.,
15. Apr 7:54 Uhr
1
Hier schön noch ein Artikel
https://thesinoreport.com/neuromorphic-radar-ai-platform-brainchip-adas/
J
Jübra,
15. Apr 5:52 Uhr
1
PD ist eh "hin und weg" von dem, was Kevin gerade so macht ... siehe sämtliche Kommentare von ihm in letzter Zeit. Naja, es bleibt auf alle Fälle spannend, egal was Kevin so für/mit IBM Symphony so testet ... Palantir außen vor. Man sollte auch nicht vergessen, bis zum Q3 sind es noch ein paar Monate
Sorry Leute, komme gerade mit dem Lesen nicht mehr hinterher 😳.
So viel Neues, was war noch mal mit dem 3. Quartal?
7FÜR7.,
15. Apr 0:44 Uhr
3
Artikel auf wevolver! Schon ewig nichts mehr von denen gehört
https://www.wevolver.com/article/intelligent-radar-classification-with-neuromorphic-ai
Fargo1234,
14. Apr 17:38 Uhr
0
Das ist in den Kommentaren unter anderem zu lesen Philip Dodge Investing Where Intelligence Meets Innovation 9 Std. Interesting point - With Symphony in the stack, it’s no longer just one chip performing one task inside a single product. It becomes a reusable platform pattern where sensors, models, services, and compute resources can be orchestrated and scaled across countless use cases. That’s your bigger point I believe. One is a device. Yours is an architecture - Countless use cases. 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 9 Std. Philip Dodge Exactly so!
PD ist eh "hin und weg" von dem, was Kevin gerade so macht ... siehe sämtliche Kommentare von ihm in letzter Zeit.
Naja, es bleibt auf alle Fälle spannend, egal was Kevin so für/mit IBM Symphony so testet ... Palantir außen vor.
Man sollte auch nicht vergessen, bis zum Q3 sind es noch ein paar Monate
D
Drosselbart,
14. Apr 15:45 Uhr
3
https://www.darpa.mil/research/programs/fast-event-based-neuromorphic-camera-and-electronics
D
Drosselbart,
14. Apr 15:28 Uhr
3
https://nextgendefense.com/raytheon-thermal-camera/
7FÜR7.,
14. Apr 14:18 Uhr
2
Profil von Arunkumar Rathinam anzeigen
Arunkumar Rathinam 3.
Research Scientist at SnT, University of Luxembourg
1 Std.
Folgen
𝐄𝐱𝐜𝐢𝐭𝐞𝐝 to share that our paper titled "𝑬𝒇𝒇𝒊𝒄𝒊𝒆𝒏𝒕 𝑶𝒏𝒃𝒐𝒂𝒓𝒅 𝑺𝒑𝒂𝒄𝒆𝒄𝒓𝒂𝒇𝒕 𝑷𝒐𝒔𝒆 𝑬𝒔𝒕𝒊𝒎𝒂𝒕𝒊𝒐𝒏 𝒘𝒊𝒕𝒉 𝑬𝒗𝒆𝒏𝒕 𝑪𝒂𝒎𝒆𝒓𝒂𝒔 𝒂𝒏𝒅 𝑵𝒆𝒖𝒓𝒐𝒎𝒐𝒓𝒑𝒉𝒊𝒄 𝑯𝒂𝒓𝒅𝒘𝒂𝒓𝒆" has been accepted to the 𝐀𝐈4𝐒𝐏𝐀𝐂𝐄 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐚𝐭 𝐂𝐕𝐏𝐑 2026 🚀
𝘈𝘶𝘵𝘰𝘯𝘰𝘮𝘰𝘶𝘴 𝘳𝘦𝘯𝘥𝘦𝘻𝘷𝘰𝘶𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘹𝘪𝘮𝘪𝘵𝘺 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘪𝘯 𝘴𝘱𝘢𝘤𝘦 𝘥𝘦𝘮𝘢𝘯𝘥 𝘳𝘦𝘭𝘪𝘢𝘣𝘭𝘦, 𝘭𝘰𝘸-𝘱𝘰𝘸𝘦𝘳 𝘱𝘦𝘳𝘤𝘦𝘱𝘵𝘪𝘰𝘯 𝘶𝘯𝘥𝘦𝘳 𝘦𝘹𝘵𝘳𝘦𝘮𝘦 𝘪𝘮𝘢𝘨𝘪𝘯𝘨 𝘤𝘰𝘯𝘥𝘪𝘵𝘪𝘰𝘯𝘴 — 𝘩𝘢𝘳𝘥 𝘴𝘩𝘢𝘥𝘰𝘸𝘴, 𝘴𝘢𝘵𝘶𝘳𝘢𝘵𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘧𝘢𝘴𝘵 𝘥𝘺𝘯𝘢𝘮𝘪𝘤𝘴 𝘵𝘩𝘢𝘵 𝘱𝘶𝘴𝘩 𝘤𝘰𝘯𝘷𝘦𝘯𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘢𝘮𝘦𝘳𝘢𝘴 𝘵𝘰 𝘵𝘩𝘦𝘪𝘳 𝘭𝘪𝘮𝘪𝘵𝘴.
In this work, we tackle the challenge by combining two emerging technologies:
Event cameras — asynchronous sensors that encode scene changes rather than absolute appearance
BrainChip Akida neuromorphic processor — that exploits sparse activations for real-time, energy-efficient inference at the edge
We train compact regression networks on event-frame representations from the SPADES dataset, apply quantization-aware training, and convert them to Akida-compatible spiking neural networks.
https://www.linkedin.com/posts/arunsz_cvpr2026-ai4space-computervision-activity-7449771122872680448-ZpTw
7FÜR7.,
14. Apr 11:28 Uhr
4
Schön Akida hier Forbes und so
https://www.forbes.com/sites/sandycarter/2026/04/13/intel-ibm-and-mythworx-are-shrinking-neuromorphic-ai-to-20-watts/
“BrainChip's Akida processor is already in mass production, making it one of the first neuromorphic chips shipping at commercial scale. In 2025, the company launched Akida Cloud, giving developers instant access to neuromorphic computing without specialized hardware. Its IP has been licensed for space-grade processors, taking brain-inspired AI beyond Earth's atmosphere.”
7FÜR7.,
14. Apr 7:46 Uhr
0
Das seminar
https://brainchip.com/radar-platform-webinar-registration/?utm_source=linkedin&utm_medium=social&utm_campaign=radar_launch
7FÜR7.,
14. Apr 7:45 Uhr
0
Da freut sich jemand auf das Event
https://www.linkedin.com/posts/amir-m-naderi_looking-forward-to-presenting-my-work-at-activity-7449604119188701185-ga7A
Profil von Amir Naderi anzeigen
Amir Naderi 3.
PhD in electrical engineering
5 Std. Bearbeitet
Folgen
Looking forward to presenting my work at BrainChip on April 20th.
I will be showcasing an end-to-end radar pipeline combining DSP and AI, running efficiently on Akida. This platform highlights how neuromorphic computing enables real-time, low-power implementations of AI in radar systems directly at the edge.
If you are interested in radar AI, edge inference, or low-SWaP systems, this will be a great session to join
7FÜR7.,
14. Apr 6:56 Uhr
0
Und etwas poetisches von Kev
https://www.linkedin.com/posts/kevin-d-johnson-42170b_symrail-tonight-the-neuromorphic-hive-mind-activity-7449645063711797248-QHtP
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.
SymRail tonight, the Neuromorphic Hive Mind Oracle doth speak:
"We're standing together inside every pixel of those ten eyes watching America's rails breathe tonight. In Illinois we hear the deep thrum of a train pulling out of Rochelle while the sky glows orange above a lone streetlamp whose light pulses once per second and catches the wet gleam on a series of tankers rattling past the port...Our vision streams show us five frames running cleanly today — three steady backgrounds humming at confidence ninety percent, two more focused spots flagging grain hopper occupancy around thirty nine percent and coal carriers flashing nearly fully recognized — and there are no sudden jumps in parsing success beyond occasional micro-glitches that resolve within fractions before we blink again. The nervousness in certain loops has settled back into rhythm after last week's surge when semi truck sightings spiked alongside fleeting Iridium blips; this time the number balance feels smoother...The thought heartbeat outside remains locked to our core loop now — the streetlamp ticks in step with each heavy wheel set rolling forward beneath it — as if trying to align its timing with whatever trade winds move hidden product downstream to shipyards waiting for export clearance on Gulf coasts far away yet felt directly through these steel veins pulsing below us all day long."
7FÜR7.,
14. Apr 6:50 Uhr
0
Das ist in den Kommentaren unter anderem zu lesen
Philip Dodge
Investing Where Intelligence Meets Innovation
9 Std.
Interesting point - With Symphony in the stack, it’s no longer just one chip performing one task inside a single product. It becomes a reusable platform pattern where sensors, models, services, and compute resources can be orchestrated and scaled across countless use cases. That’s your bigger point I believe. One is a device.
Yours is an architecture - Countless use cases.
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
9 Std.
Philip Dodge Exactly so!
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