Riccardo Mereu

16 posts

Riccardo Mereu

Riccardo Mereu

@rmwu36

Katılım Haziran 2019
810 Takip Edilen57 Takipçiler
Riccardo Mereu retweetledi
Eric Zhang
Eric Zhang@ekzhang1·
For the next couple weeks at NY systems reading group, we’ll be writing some GPU kernels This was much requested, and I think now that there’s some excellent, well-written content online about CuTe DSL, makes sense to learn! (CUDA is too hard / arcane, CuTe DSL is just low-level enough to be interesting to systems folks looking for a new challenge perhaps. Plus it might be useful to learn it for work.) I was trying to figure out how we give people a quick trial of Hopper/Blackwell GPUs and realized I already made a free product for this at my last job lol, and it’s on-demand + collaborative. So we’ll use Notebooks. notes.ekzhang.com/events/nysrg
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Edward Z. Yang
Edward Z. Yang@ezyang·
Without further ado, The Parallelism Mesh Zoo
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François Fleuret
François Fleuret@francoisfleuret·
Reminder that Einstein summations are awesome.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
Sad to hear of the passing of legend Prof. CR Rao. A towering figure in statistics, he's known for many seminal contributions, including the Cramér–Rao bound, and Rao–Blackwell theorem. His legacy lives on. May his memory be a blessing.
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The Cultural Tutor
The Cultural Tutor@culturaltutor·
Want to know what the apocalypse will be like? Look no further than the terrifying art of John Martin, a long forgotten 19th century painter you've probably never heard of...
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Rodney Brooks
Rodney Brooks@rodneyabrooks·
1/ Mon Sept 26, 1977, 45 years ago today, I rode my bicycle up Page Mill Rd in Palo Alto, under 280, right on Arastradero, then up a driveway to a delapidated semi-circular wooden building. I walked through the front door at one end and entered the future. I have never left.
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Awni Hannun
Awni Hannun@awnihannun·
Read a bit about Grokking recently. Here's some learnings: "Grokking" is a curious neural net behavior observed ~1 year ago (arxiv.org/abs/2201.02177). Continue optimizing a model long after perfect training accuracy and it suddenly generalizes. Figure:
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Luca Carlone
Luca Carlone@lucacarlone1·
If you are applying for #gradschool and have last-minute questions about your application, I'm willing to offer office hours on zoom this week. I do this with students I interact with at MIT and I want to make sure others get the same opportunity. write below if interested.
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Sven
Sven@SvenSchnieders·
@lexfridman Books over news.
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Google DeepMind
Google DeepMind@GoogleDeepMind·
We’re back with more #AtHomeWithAI researcher recommendations. Next up is research scientist @csilviavr with suggestions for resources to learn about causal inference! (1/5)
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François Chollet
François Chollet@fchollet·
The speed at which I accumulate open tabs in Chrome is alarming. I have to declare tab bankruptcy every couple days
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George Mack
George Mack@george__mack·
THREAD: 15 of the most useful razors and rules I've found. Rules of thumb that simplify decisions.
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Andrej Karpathy
Andrej Karpathy@karpathy·
How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others
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Prof. Feynman
Prof. Feynman@ProfFeynman·
You cannot get educated by this self-propagating system in which people study to pass exams, and teach others to pass exams, but nobody knows anything. You learn something by doing it yourself, by asking questions, by thinking, and by experimenting. 🧠
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