Dhm
Regular
Her response would be (hopefully) “Thanks, we already know about Brainchip and it’s disruptive nature.”Evening Dhm,
Top job, can't wait to hear the response.
Regards,
Esq.
Her response would be (hopefully) “Thanks, we already know about Brainchip and it’s disruptive nature.”Evening Dhm,
Top job, can't wait to hear the response.
Regards,
Esq.
More than 2.5. Less than 5Its a cold Saturday night here in Melbourne. At a guess, how much revenue do you think we'd see in the 4C in a couple of days?
(just for fun guys.....)
I'd say $5mil+
I'll see your $1Mil and raise you $1.5 Mil<$1M
No doubt they will try.Dont you mean China will do its best to STEAL the intel of Akida Technology rather than adopt ?
Chinese espionage against America steals up to $600 billion a year - Sandboxx
A new year has begun but the Chinese Communist Party maintains its old ways. In early January, a Chinese scientist pleaded guilty to attempting to commit economic espionage against the U.S. in what is yet another attempt by Beijing to gain global economic supremacy by whatever means necessary...www.sandboxx.us
Really feel that this post kind of got lost amongst other posts. I would like to encourage everyone to press on the link and read the white paper. I believe it’s new and I think it blow your socks off. It’s a must read.Designing Smarter and Safer Cars with Essential AI
Conventional AI silicon and cloud-centric inference models do not perform efficiently at the automotive edge. As many semiconductor companies have already realized, latency and power are two primary issues that must be effectively addressed before the automotive industry can manufacture a new generation of smarter and safer cars. To meet consumer expectations, these vehicles need to feature highly personalized and responsive in-cabin systems while supporting advanced assisted driving capabilities. In this paper, we discuss how automotive companies are redefining the in-cabin experience and accelerating assisted driving capabilities by untethering edge AI functions from the cloud - and performing distributed inference computation on local neuromorphic silicon using BrainChip’s AKIDA. We call this Essential AI. This model sequentially leverages multiple AKIDA-powered smart sensors and AKIDA AI SoC accelerators to efficiently capture and analyze inference data within designated regions of interest or ROI (samples within a data set that provide value for inference). AI inference at the automotive edge starts with versatile AKIDA-powered smart sensors capturing entire input images and complete audio streams in real-time. The raw data passes to AKIDA AI accelerators embedded on smart sensors - which analyze and infer meaningful information from specific regions of interest.
Zeebot why did rise leave?Hey all
I’m seeing a lot of great content but also a bit of general lifestyle chatter back and forth in the BRN forum / thread.
Can I please remind everyone that for non-BRN chat, we have a chat room and also The Lounge where you can talk about anything not specifically related to a stock: https://thestockexchange.com.au/forums/the-lounge-where-anything-goes.15/
For shits and giggles:Its a cold Saturday night here in Melbourne. At a guess, how much revenue do you think we'd see in the 4C in a couple of days?
(just for fun guys.....)
I'd say $5mil+
Hey all
I’m seeing a lot of great content but also a bit of general lifestyle chatter back and forth in the BRN forum / thread.
Can I please remind everyone that for non-BRN chat, we have a chat room and also The Lounge where you can talk about anything not specifically related to a stock: https://thestockexchange.com.au/forums/the-lounge-where-anything-goes.15/
I understand that many members will be getting tired of wading through the banter to pick out the good research that is being done. I’ve been guilty myself of posting a fair bit of nonsense over the years. I am thankful it was tolerated but I look back and think it probably annoyed a few people. It might be an idea to create another thread that can accomodate more Memes and banter so as to keep this thread a bit tidier. It actually doesn’t worry me as I’m retired and have plenty of time on my hands. However, thinking of those that have busy lives it might make things easier for them. I don’t know what the solution is but I am sure something could be worked out.
Like a photo of your hairy legs. SorryWe also have a lot of different pages set up
to discuss things like nasa, renesas etc and if people were to use these instead of posting everything here it would make things a lot easier as well. I’m one guilty of posting inappropriate posts on this BRn page, but at least I make an effort to post all my findings in the correct places
Hands up I’m guilty, but I was also know as the class clown and I’ll never change even 35 years laterLike a photo of your hairy legs. Sorry
So nice Slade, i think so too and really important to read!!!Really feel that this post kind of got lost amongst other posts. I would like to encourage everyone to press on the link and read the white paper. I believe it’s new and I think it blow your socks off. It’s a must read.
I don’t know, I haven’t been told anything.Zeebot why did rise leave?
If u dont know ,all good. Just say
Thanks for responding mateI don’t know, I haven’t been told anything.
Why now? This is the time we have all been hanging in for years for.It's been fun. aidios people
Thanks Sirod,Designing Smarter and Safer Cars with Essential AI
Conventional AI silicon and cloud-centric inference models do not perform efficiently at the automotive edge. As many semiconductor companies have already realized, latency and power are two primary issues that must be effectively addressed before the automotive industry can manufacture a new generation of smarter and safer cars. To meet consumer expectations, these vehicles need to feature highly personalized and responsive in-cabin systems while supporting advanced assisted driving capabilities. In this paper, we discuss how automotive companies are redefining the in-cabin experience and accelerating assisted driving capabilities by untethering edge AI functions from the cloud - and performing distributed inference computation on local neuromorphic silicon using BrainChip’s AKIDA. We call this Essential AI. This model sequentially leverages multiple AKIDA-powered smart sensors and AKIDA AI SoC accelerators to efficiently capture and analyze inference data within designated regions of interest or ROI (samples within a data set that provide value for inference). AI inference at the automotive edge starts with versatile AKIDA-powered smart sensors capturing entire input images and complete audio streams in real-time. The raw data passes to AKIDA AI accelerators embedded on smart sensors - which analyze and infer meaningful information from specific regions of interest.
You're doing some great work Sirod69i am not sure if posted?
i think many here are in a green zone, but now to sell, isn´t a good idea, because brainchip is on the begining
Netflix, Amazon, BrainChip Aktien: KI treibt das Geschäft
Unsere Zukunft ist vernetzt und zunehmend interaktiver. Streaming Anbieter wie Netflix personalisieren Inhalte dank Machine Learning Systeme, doch dem Unternehmen laufen die Nutzer davon. Zum Laufen kommt indes Amazons Sprach-Assistent Alexa. Auf der Entwickler Konferenz vor zwei Tagen wird zum...www.kapitalerhoehungen.de
You all say next week we get the Q2
but I found 31.08, what is right now?
BRAINCHIP AKTIE TERMINE
Terminart Schätzung EPS Info Datum Quartalszahlen - Q2 2022 31.08.2022 (e)* Quartalszahlen - Q4 2022 01.03.2023 (e)* Quartalszahlen - Q2 2023 30.08.2023 (e)* Quartalszahlen - Q4 2023 28.02.2024 (e)*
*estimated / geschätzt
zu den Quartalsschätzungen für BrainChip