reesul

5 ms·

1.
by reesul 3y ago
I was loosely active in tildes a few years back but dropped it since I got too busy / found myself just going to Reddit for mindless content. Sounds like tildes is still kicking, then? I’m curious if it’s grown or shrunk in that time.
2.
by reesul 3y ago
I believe the 64 variant is the newer part. The older one is a 32 bit architecture IIRC. Jetson has a big edge in software and documentation, no doubt. Poor documentation and SDKs seems to be the norm for a lot of embedded processors, espec
3.
by reesul 3y ago
Looks like a really cool app, it reminds me of period tracking apps I’ve seen before. Congrats on learning this in a few months, thanks for pointing to the resources you used! What can you tell me about data storage and how it gets used wit
4.
by reesul 3y ago
Yeah I’m very surprised to see a single board computer at less than $100 for a processor like that. Hard to tell what their actual 1ku price is, but if the random Alibaba I found for $20 is right, then that price for the overall board is ab
5.
by reesul 3y ago
Yeah it’s performance vs cost is honestly nuts. 6 TOPS is a pretty solid NPU, but I don’t know what their software is like. Programming those accelerators is often difficult, especially if you’re a small time customer. Curious if anyone can
6.
by reesul 3y ago
As someone closer to this in the industry (embedded ML.. and trying to compete) I agree with the sentiment. Their software is good, I willingly admit. Porting a model to embedded is hard. With NVIDIA, you basically don’t have to port. This
7.
by reesul 3y ago
Title is off yeah, but the abstract does effectively say that the paper was written amongst a cohort of PhD students
8.
by reesul 3y ago
I agree with the other comments that this is a fairly useless article. Perhaps I’m looking too much into this specific example, but I fail to see how the entirety of AI’s success (per this title) is misrepresented due to its inability to pr