I will coach you to 1000 followers via Twitter DMs for FREE! 🥳
One condition:
✅ need to have less than 300 followers
To be considered:
- retweet this tweet
- reply with how many hours a week you are willing to give to this endeavor
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Let's do this 💪😁
LOL, the hallmark 2005 paper that made mRNA therapies (incl. vaccines) possible wouldn't make it to the top 60 highest cited CVPR papers (1209 citations). In case you needed any more evidence that citations are a stupid measure of impact.
Does higher performance on ImageNet translate to higher performance on medical imaging tasks?
Surprisingly, the answer is no!
We investigate their relationship.
Paper: https://t.co/LDAbVkEmIf
@_alexke, William Ellsworth, Oishi Banerjee, @AndrewYNg@StanfordAILab
1/8
when you're very big, rain feels like a gradual increase in wetness. but when you're very small, you might not know the rain is there at all, until a raindrop hits you dead-on, and then suddenly your whole world is upside down.
"Kate does that mean we can merge the PR or not?"
I can't believe it!😅
After more than a year of writing, I finally released my first book.🎉
Read it to understand your application's performance on a modern CPU and learn how to improve it.
Available for FREE download (PDF) today!⤵️
https://t.co/oTVC0C6tqW
Please RT!
(1/4)
When it comes to mothers and mathematicians, everyone should know the story of the mother of the Russian mathematician Lev Pontryagin. Pontryagin went blind at 14 and his mother dedicated her life to teaching him. https://t.co/uk9JpVrzQs
When I was a little kid in the 1940s, May 1 was May Basket Day, when you'd fill a basket with candies and hang it on a door handle of the home of a pretty girl, then run hoping she'd catch you and give you a kiss. Now she'd just give you Covid-19. Anyone else celebrated MBD?
When you read a paper that explains something in a convoluted and cryptic way, and you struggle to follow... you can be certain the authors didn't understand it clearly either.
A paper in @AnnalsofIM claimed "cotton masks seem to be ineffective in preventing" COVID-19 transmission.
However, the paper made a serious data analysis mistake, which, when corrected, shows cotton masks blocked >95% of the viral load!
I'll explain. 1/
https://t.co/bw3MM6IeBC
One interesting thing about the ARC competition is that it serves to highlight how people who use deep learning often have little idea of what deep learning actually does, and when they should be using it or not
I stopped doing CV research because I saw the impact my work was having. I loved the work but the military applications and privacy concerns eventually became impossible to ignore.
https://t.co/DMa6evaQZr
Honestly, the question is not, and has never been, "can machine learning replace radiologists/etc" (which won't happen in the foreseeable future). The question is, how can radiology/etc utilize ML to improve outcomes, decrease the cost of care, and broaden accessibility.