Nice interview of Yoshua in IEEE Spectrum.
— Yann LeCun (@ylecun) December 11, 2019
"Spectrum: What do you think about all the discussion of deep learning’s limitations?... https://t.co/zYeHgZV853
Nice interview of Yoshua in IEEE Spectrum.
— Yann LeCun (@ylecun) December 11, 2019
"Spectrum: What do you think about all the discussion of deep learning’s limitations?... https://t.co/zYeHgZV853
If you are submitting machine learning preprints to arXiv, Jim wrote a helpful categorization guide that we'd appreciate you read: https://t.co/tp5LqJ0r9y We often see up to 250 new ML papers each day!, and we'd appreciate your effort in keeping the moderation process manageable!
— Sebastian Raschka (@rasbt) December 10, 2019
AdBlock Plus now has perceptual ad blocking, which identifies ads based on what they look like instead of where they're served from. Visually detecting ads is a more scalable method than applying tens of thousands of (manually created!) filter rules. https://t.co/Zrg4NdIHPz pic.twitter.com/LaeucmF6lP
— Arvind Narayanan (@random_walker) December 10, 2019
There's no such thing as a neutral platform. 100 years of psychology research show us that the order in which content is shown to us impacts our beliefs.
— Rachel Thomas (@math_rachel) December 10, 2019
The algorithms pushing content online have profound impacts on what we believe. @celestekidd #NeurIPS2019 pic.twitter.com/PNlqBntuqW
p-value of code availability increasing reviewer score for #NeurIPS2019 submissions: 1e-08 pic.twitter.com/Nsm6kCW0EC
— Rachel Thomas (@math_rachel) December 10, 2019
We looked into the NeurIPS 2019 data, to see if we could gain any interesting insights and inform discussion on future years. Here's our blog post on what we found out:https://t.co/yr0xpBhe3y
— Hugo Larochelle (@hugo_larochelle) December 9, 2019
Topic modeling allowed journalists to discover these stories:
— Rachel Thomas (@math_rachel) December 9, 2019
- insulin pumps have most reported problems in FDA database
- spinal cord stimulators help some patients, injure others
- FDA permits "export only" medical devices not for US use#NeurIPS2019 #WiML2019 @XandaSchofield pic.twitter.com/CMlDazZHUy
This @xkcdComic is now just over five years old.https://t.co/lQ3jG2SVTu
— Neil Lawrence (@lawrennd) December 9, 2019
And it is now relatively straightforward to determine if a photo contains a bird.
Nice work from the researcher by the computer and her team.
Here are some of my thoughts on the key trends in AI and machine learning in 2019 & what to expect in 2020 🔮 https://t.co/FLNqNPLCiv pic.twitter.com/UI291vSUwh
— Ines Montani 〰️ (@_inesmontani) December 9, 2019
What dystopian garbage. What's happening in China matters—obviously to the people of China, but elsewhere, too. A favorite argument of lobbyists pushing this kind of tech in the U.S. is that China is taking the lead on AI, blockchain, and whatnot, and the U.S. needs to catch up. https://t.co/sIQURKavrH
— Arvind Narayanan (@random_walker) December 9, 2019
~2 hours debugging an issue I thought was due to something I misunderstood in the deep mathematics involved but I just forgot to call `https://t.co/E1f9894p7z_grad()`. This bug really builds character
— Andrej Karpathy (@karpathy) December 8, 2019
There's plenty that I agree with in this article but the thing that I cannot abide is the concept that finding discrimination in privately held, IP-protected algorithms is easy is just plain wrong.https://t.co/ITMwIFJBzW
— Cathy O'Neil (@mathbabedotorg) December 8, 2019