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Maybe Kurt Vonnegut was right. A presidential candidate should propose a plan similar to President Swain's proposal in Slapstickpic.twitter.com/0zwkQ8wnwV
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I made a similar point about “The Girl With the Pearl Earring” to folks at the Mauritshuis. Note how she disapproves of all the photospic.twitter.com/966cniMBba
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Here is the breakdown statewide. Coal + natural gas is 49% of the total.pic.twitter.com/3hqeEjmhF6
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From latest arXiv report: "Areas like cs.LG and http://cs.CV (learning and computer vision) are now each getting over 1000 submissions/month. (They are the subject areas that now get the most arxiv submissions...). Plot from Paul Ginsparg.pic.twitter.com/h7caZjI12X
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Studies of the source of speedup across many areas has shown that roughly half of the improvement is due to hardware and half due to software. In some cases, algorithm advances have been much more important than hardware.pic.twitter.com/Zh3BOHsHra
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The combination of linear classification and local features makes it easy to produce beautiful salience maps:pic.twitter.com/FhLj4UUOoS
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I liked this paper from NeurIPS: https://papers.nips.cc/paper/7948-end-to-end-differentiable-physics-for-learning-and-control … They put a deep learning wrapper around a differentiable physics engine and then can rapidly learn to fix the errors of the physics engine. They learn breakout in a few thousand steps.pic.twitter.com/KU3m3gmUHN
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Includes quite an indictment of the pharma industry's failure to invest in basic research in this area. end/pic.twitter.com/4G20ShSk49
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Here is a nice video about our team effort (led by Carla Gomes at Cornell) to establish the field of Computational Sustainability.https://vimeo.com/289699833
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@OPB I'm getting an error on your web site and you don't accept DMs.pic.twitter.com/eEmqE9WO9V
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Nice progress on training neural networks that guarantee no adversarial examples (at least in large parts of the input space).pic.twitter.com/91hmTqeYop
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Inspiring presentation on data science by the impressive Kathleen Siminyu
#dsapic.twitter.com/d4Dfj5T6bT
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My student Majid Talaghan studied smart algorithms for exploration in RL with accuracy guarantees. Even on small problems with tabular representations, we often need >1M samples to learn.pic.twitter.com/uYoEvkQ6EZ
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@washingtonpost serving amazon ads in their story that mentions Amazon’s failure to respond to#BoycottNRApic.twitter.com/Vv1VQqB5Lh
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Speaking today as part of an excellent meeting
@turinginst on#AIforsocialgoodpic.twitter.com/UR3eDpn9dO
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Delighted to be honoring 8 new AAAI Fellows at
#AAAI18pic.twitter.com/AzoGqEA4mU
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Audience for our Oxford style debate on AI and logic
#AAAI18pic.twitter.com/52K2SkCVK4
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My student Si Liu giving a great talk on PAC guarantees for open category detection at
#AAAI2018pic.twitter.com/E8ZE8sRZDm
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