Brainchip Klassengruppe WKN: A14Z7W ISIN: AU000000BRN8 Kürzel: BRN Forum: Aktien User: Rarosch
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21:52:05 Uhr,
Lang & Schwarz
Kommentare 41.805
Jannemann,
16.12.2022 13:20 Uhr
18
Ich mal den 6. Blogeintrag veröffentlicht. Das wichtigste dort wie immer kurz und kompakt. 🙂
N
Nobroken123,
16.12.2022 12:53 Uhr
0
Ich glaube fest an Kursen von 1,40-2,10 in denn nächsten 2 Jahren.
Nur meine Meinung.
Rarosch,
16.12.2022 12:13 Uhr
16
Brainchip ist jetzt auch auf der Intel Partnerseite zu finden.
https://www.intel.com/content/www/us/en/foundry/ifs-accelerator/ip-alliance.html
Kirsten79,
16.12.2022 11:21 Uhr
10
Unabhängig vom Kurs, es nimmt alles Fahrt auf und das ist KEINE Spekulation
E
Epsi,
16.12.2022 11:16 Uhr
1
Screenshots des nviso updates
E
Epsi,
16.12.2022 11:15 Uhr
7
Top, auch grad bekommen: hier zur Vollständigkeit
https://ibb.co/album/M92qCK
Rarosch,
16.12.2022 11:12 Uhr
12
Aus einer Mail von Nvisio
Further, our partnership with BrainChip on neuromorphic computing is starting to bear fruit as potential
customers are now positively evaluating NVISO software running on next generation AI hardware which is
expected to translate into a growing blue-chip customer base in 2023. Additionally a Japan OEM will begin a
POC early 2023 as part of a larger project to adopt AI strategy and a second German Premium OEM will
likely begin in 2023 after positive evaluations of our current AI solutions for interior sensing and driver
monitoring.
Und
Following on from our announcement of successful neuromorphic interoperability last summer, we will now
be announcing support for two new high performance AI Apps from its Human Behavior AI App catalogue,
Gaze and Action Unit Detection. We are making available a full SDK release for manufacturers looking to
mission critical human-interaction features meeting the most demanding performance, cost, and power
budgets. NVISO’s Neuro SDK running on the BrainChip platform will be demonstrated on the Socionext
stand at CES2023.
Kirsten79,
16.12.2022 8:28 Uhr
6
Tim: of course
Kirsten79,
16.12.2022 8:28 Uhr
3
....hi Tim you mean brainchip akida when you say neuromorphic?
Kirsten79,
16.12.2022 8:23 Uhr
4
https://twitter.com/nviso/status/1603538307400536065?t=yIK-OhOGbJES_0uPKRWObQ&s=35
rr12,
16.12.2022 7:56 Uhr
4
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7FÜR7.,
16.12.2022 7:18 Uhr
7
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Rarosch,
16.12.2022 6:47 Uhr
5
2. Prophesee (The Venetian Hotel): Edge learning on device for complex visuals.
Prophesee will demonstrate the alignment of their event-based vision systems with the unique, intelligent edge-learning capabilities of Akida. This enables learning of gestures on device without storing data on device or on cloud - an important aspect of security and privacy expected.
Stay tuned for further updates on our partners CES schedule and announcements.
We wish you a very exciting and prosperous 2023 and look forward to seeing you at CES.
Please use the link below to schedule a meeting with us.
Regards,
The Brainchip Team
Rarosch,
16.12.2022 6:46 Uhr
4
Socionext has created a variety of smart RADAR solutions, including 24GHz and 60GHz, and has developed a roadmap showcasing future technologies features and capabilities to support multiple in-cabin uses, including seat occupancy monitoring, child presence detection, and theft prevention.
Rarosch,
16.12.2022 6:46 Uhr
5
At CES a few of our partners are demonstrating this technology:
Socionext (North Hall, booth 10564): Automotive solutions for remote display, RADAR and embedded sensing and cabin monitoring.
Socionext will demonstrate it’s highly integrated ISO26262-certified SC1721/ SC1722/ SC1723 Series Graphics Display Controllers feature built-in safety mechanisms that enable error-free, safety-critical content to meet the safety standards required by today’s multi-display cockpit applications.
Rarosch,
16.12.2022 6:46 Uhr
4
Brainchip invites you to join us at CES 2023 January 5-8, 2023, in Las Vegas, NV to experience our advanced, hyper-efficient, event-based AI technology in action, bringing the future to edge AI devices.
Akida’s unique AI approach is built on applied neuromorphic principles that enables inference and learning, untethered from the cloud in energy-constrained edge devices. It efficiently accelerates today’s models and is ready for future trends. Most importantly, it supports frameworks and flows that developers are very familiar with, so tuning for Akida platforms is seamless and Brainchip partners like Renesas are integrating Akida technology into their platforms.
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