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Prikvačeni tweet
A huge amount of important work here. Had a great time doing a small part of it.https://twitter.com/gsxej/status/1219360755264512006 …
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This is the most bizarre series of CAPTCHA questions I've come acrosspic.twitter.com/nukmZEASzR
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Idk what about my online activity has pegged me an authority on Turkmenistanpic.twitter.com/h00XbyTama
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CAPTCHAs are starting to require increasingly specialist knowledgepic.twitter.com/jUbLOvTYmu
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Wikipedia is celebrating 6,000,000 English-language articles. Does this not feel surprisingly low? Remarkable to realise I had no intuition about this at all.
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Arian Jamasb proslijedio/la je Tweet
This rabbit-duck illusion really baffles Google Cloud Vision API. (credit:
@davorjord)pic.twitter.com/3KCr74HWcdHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arian Jamasb proslijedio/la je Tweet
Google have changed their search results design, but it's not good news... Why Google's new search results design is a dark pattern (a thread)
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Arian Jamasb proslijedio/la je Tweet
There's something strange about the recent design change to google search results, favicons and extra header text: they all look like ads, which is perhaps the point?pic.twitter.com/TlIvegRct1
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Arian Jamasb proslijedio/la je Tweet
Complete connectomic reconstruction of olfactory projection neurons in the fly brain https://biorxiv.org/cgi/content/short/2020.01.19.911453v1 …
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Arian Jamasb proslijedio/la je Tweet
wow cant believe it’s nearly Davos time, i hope they solve it this year!!! we could rly use it lol
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Arian Jamasb proslijedio/la je Tweet
We have 2 papers published in
@nature today!
One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arian Jamasb proslijedio/la je Tweet
Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere. We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop. But why? So we can—talk. Thus chimpanzees can do this—we can’t:pic.twitter.com/CDznxg37p1
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Arian Jamasb proslijedio/la je Tweet
┏━━┓┏━━┓┏━━┓┏━━┓ ┗━┓┃┃┏┓┃┗━┓┃┃┏┓┃ ┏━┛┃┃┃┃┃┏━┛┃┃┃┃┃ FOLD PROTEINS FOR SCIENCE ┃┏━┛┃┃┃┃┃┏━┛┃┃┃┃ ┃┗━┓┃┗┛┃┃┗━┓┃┗┛┃ ┗━━┛┗━━┛┗━━┛┗━━┛
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Arian Jamasb proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Arian Jamasb proslijedio/la je Tweet
Back by popular demand (OK, I made that up), here are 12 more endurance athlete experiments for 2020 that will teach you more about yourself and how you work!pic.twitter.com/qvwT9gLyBD
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Postulate: the 2010s was the decade of the tech rent seekers. Conjecture: the 2020s will be the decade of the biotech rent seekers.
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Arian Jamasb proslijedio/la je Tweet
Here's a quick question for the scientific text-mining gang. Does this image capture the essence of copyright on factual scientific images?
#TextMining#Copyrightpic.twitter.com/JjYXvqsMSA
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Arian Jamasb proslijedio/la je Tweet
Great work using inter-residue orientations to exceed AlphaFold’s performance on protein structure prediction by Jianyi Yang, Ivan Anishchenko, and others from the Baker lab: https://www.biorxiv.org/content/10.1101/846279v1 …. First heard about this at RosettaCon and I’m very glad to finally see it out!
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Why are admissions tutors not immediately sceptical of children with a publication record?https://www.nature.com/articles/d41586-019-03371-0?utm_source=fbk_nnc&utm_medium=social&utm_campaign=naturenews&sf223459439=1&fbclid=IwAR0nbN-9ALRIghRVTh0L9Da3beYf-ui5Ca0zyGLFW8upx0vr641q691NGK8 …
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Arian Jamasb proslijedio/la je Tweet
Want to improve accuracy and robustness of your model? Use unlabeled data! Our new work uses self-training on unlabeled data to achieve 87.4% top-1 on ImageNet, 1% better than SOTA. Huge gains are seen on harder benchmarks (ImageNet-A, C and P). Link: https://arxiv.org/abs/1911.04252 pic.twitter.com/0umSnX7wui
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