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Tenstorrent just signed a deal to partner with LG to develop RISC-V ai chips.Perhaps because he’s the CEO of Tenstorrent?
Disappointing because I was hoping they were one of our future buyers.
Tenstorrent just signed a deal to partner with LG to develop RISC-V ai chips.Perhaps because he’s the CEO of Tenstorrent?
All good mate. I’m just a cynical old buggerHi @Dr E Brown and @MrNick I’m not saying he’s right.
I found a lot of his interview quite interesting and enlightening as I’m not in the industry so it’s nice to hear from thought leaders who are.
I’ve put my money where my mouth is and backing Brainchip however I respect others opinions. His disregard of SNN did seem to have more of a software focus so maybe he’s not up to date with Akida in particular; but I’m not knowledgable enough to disagree with him.
As most people in the industry he would have an agenda to push; but overall I enjoyed the interview.
Edit: I also liked how he discussed the fact that the larger companies such as Intel or Nvidia don’t necessarily have entitlement to the next big successful thing and said smaller start-ups can have wins too!
the words but maybe means he is a swinger on voting bit like me saying its not likely that interesting blue cheese, but maybeIt seemed like Jim Keller was downplaying SNN's. Comparing neuromorphic computing to just another type of encoding method isn't exactly fair or particularly accurate I'd have thought. I would have liked to have seen him address the known benefits such as real-time on-chip learning and training, reduced latency, improved privacy and security, low power consumption, etc..
And, he came across a little disingenuously IMO when he said "It's not likely that interesting, but maybe.."
Not that interesting? Good luck telling that to our growing list of partners as well as Renesas and MegaChips who are in the process of making this technology widely available.
Just did a keyword Akida and Brainchip search and didn't pick up a mention of us but the content list looked an interesting read but probs above my brain spaceApology if this has been posted.
Since its such a quite night, anyone interested in reading this 100 page paper?
View attachment 38156
Link to the paper is below.
Radware Bot Manager Captcha
iopscience.iop.org
Learning 🏖
Just did a keyword Akida and Brainchip search and didn't pick up a mention of us but the content list looked an interesting read but probs above my brain space![]()
Apology if this has been posted.
Since its such a quite night, anyone interested in reading this 100 page paper?
View attachment 38156
Link to the paper is below.
Radware Bot Manager Captcha
iopscience.iop.org
Learning 🏖
If it’s been on the road in Germany since 2022, and we haven’t received and revenue yet, doesn’t that indicate that we aren’t in it?
Thanks for pointing out the number of likes Anil is giving., good point, unless the German version is inferior initially?
Perhaps the "like" isn't in reference to drive pilot? Hard to say.
What i do know is, this is the 4th "like" by anil on this topic in the last 24hrs
Opps. Reply meant for SharesForBrekky. On the BRN Website one of the reasons given to invest is the BRN tie up with Mercedes and others. Its a matter of when not if.I see our matesat Prophesee presenting shortly at the following symposium.
Having some challenges they say and are discussing a stacked event sensor. We know they work with Sony (one of the Chairs for this session) stacked sensor but also acknowledge the emphasis on connectivity to neuromorphic processor architectures....one would trust Akida is one such processor.
Original paper HERE
2023 Symposium on VLSI Technology and Circuits Advance Program
Circuits Session 22
Advanced Imagers [Suzaku II]
Thursday, June 15, 14:00-15:40
Chairpersons: T. Takahashi, Sony Semiconductor Solutions Corp.
M. Dielacher, Infineon Technologies AG
C22-2 - 14:25
A 320 x 320 1/5" BSI-CMOS Stacked Event Sensor for Low-Power Vision Applications, G. Schon, D. Bourke, P.-A. Doisneau, T. Finateu, A. Gonzalez, N. Hanajima, T. Hitana, L. Janse Van Vuuren, M. Kadry, C. Laurent, F. Le Goff, D. Matolin, A. Mezaour, B. Michel,
T. Naguleswaran, T. Opperman, P. Perrin, E. Reynaud, F. Shahrokhi, H. Tahachouite, C. Tianfan, G. van den Branden, A. Ziram, J.-L. Jaffard and C. Posch, Prophesee, France
Event-based vision is an emerging paradigm of acquisition and processing of visual information. The highly efficient way of acquiring sparse data and the robustness to uncontrolled lighting conditions make event-based vision attractive for applications in industrial, surveillance, IoT, AR/VR, automotive.
However, the unconventional format of the event data, non-constant data rates, non-standard interfaces pose challenges to usage and integration. A 320x320 6.3μm pixel BSI stacked event sensor was designed with the explicit goal to improve integrability and usability in embedded at-the-edge vision systems. Emphasis has been put on event data pre-processing and formatting, data interface compatibility and low-latency
connectivity to various processing platforms including low-power uCs and neuromorphic processor architectures.
Furthermore, the sensor has been optimized for ultra-low power operation, featuring a hierarchy of low-power modes and application-specific modes of operation. On-chip power management and an embedded microcontroller
This is a very good point.If it’s been on the road in Germany since 2022, and we haven’t received and revenue yet, doesn’t that indicate that we aren’t in it?