Are you referring to the "From Predictive Modeling to Optimization" talk? If so, there's a more detailed article to go with it, if you're interested:https://t.co/sNMLLD9KCa
β Jeremy Howard (@jeremyphoward) December 17, 2019
Are you referring to the "From Predictive Modeling to Optimization" talk? If so, there's a more detailed article to go with it, if you're interested:https://t.co/sNMLLD9KCa
β Jeremy Howard (@jeremyphoward) December 17, 2019
Response to criticisms of Bayesian statistics https://t.co/apiUguXvQO
β Andrew Gelman (@StatModeling) December 17, 2019
Current status: adding model cards for the 63 (!) pretrained models in π€ Transformers library
β Thomas Wolf (@Thom_Wolf) December 16, 2019
π more transparent reporting on models' capabilities, limitations, uses...
Read https://t.co/CCQZyZppX3 (@mmitchell_ai @timnitGebru et al.) for details. Example (from this paper)π pic.twitter.com/qnRkb3WGa7
One of the greatest and most common examples of self-delusion is the belief that one is "immune" to advertising (unlike the rest of those suckers)
β Tim Wu (@superwuster) December 14, 2019
Check out NVDashboard which makes visualizing @nvidia #GPU resource utilization easy when running @rapidsai and @dask_dev in JupyterLab. https://t.co/0GBRdWKBBL
β RAPIDS AI (@rapidsai) December 13, 2019
βLeaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.β #NeurIPSGreatDebate @tsimonite https://t.co/EFG56vSOUA
β hardmaru (@hardmaru) December 13, 2019
I'm a coauthor of two textbooks. Both are available online:https://t.co/FIbyZnzfznhttps://t.co/vCIVqLsBmp
β Arvind Narayanan (@random_walker) December 13, 2019
We made this a non-negotiable part of the contract. The publishers didn't complain and didn't think it would hurt sales! There's no good reason not to make it free.
Worth remembering that despite all the (justifiable!) talk about the impacts of AI, actual private sector investment isn't that huge. I'm curious about scenarios where you see much larger investment amounts - what would need to be true about AI tech for this to happen? https://t.co/qjCRt5oZiN
β Jack Clark (@jackclarkSF) December 13, 2019
Who codes what and for how long? | Read the first-place notebook from our #KaggleDSSurvey π A story told through a heatmap by Teresa Kubackahttps://t.co/PmEkHxIlaj pic.twitter.com/LrblW7L36m
β Kaggle (@kaggle) December 12, 2019
The AI Now 2019 Report is out! This is an enormous project from a team of researchers who survey what's happening in AI: in a social, political, and ecological frame. Want strong recommendations for industry, government & research? Start here: π https://t.co/k0z1KvsPST
β Kate Crawford (@katecrawford) December 12, 2019
I enjoyed Yoshua's #NeurIPS2019 talk! We still have a lot of work to do to define WHAT the benchmarks should be towards System 2 to research HOW to make progress on them. In ML, setting the right problem is often more important than its solution.
β Oriol Vinyals (@OriolVinyalsML) December 12, 2019
Talk: https://t.co/IbgNd3tAPb pic.twitter.com/vYEuW9ytyA
π A fun exercise in attention to detail and spotting visual bugs. (Although what's "correct" can sometimes be subjective, of course.)
β Ines Montani γ°οΈ (@_inesmontani) December 11, 2019
How far do you get?
I got 8030! πβ¨ I kinda cheated once, though.https://t.co/WxVWTsL4Yc