the drawings ARE indeed amazing! thanks for the link!

Ryan Rykaczewski describes one of the most massive migrations on the planet, driven by the sun. Image by Tintinnidguy (Own work) [CC BY-SA 4.0 (http://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons 

#ExplainTheSun  - The Largest Migration on The Planet

Was there a science, technology, or environmental book from 2015 that made you think, laugh, or gape in amazement? Now’s the time to celebrate it. Join Ira as we build our list of the Best Science Books of 2015 with help from Pulitzer Prize-winning science journalist Deborah Blum and Brain Pickings editor Maria Popova. 

Find the full list at http://sciencefriday.com/books2015 

The Best Science Books of 2015

Once, there was the ordinary incandescent light bulb. It shone brightly, but wasted much of the energy put into it as heat. Then came the compact fluorescent. And as costs have dropped, consumers have increasingly been switching to light-emitting diode (LED) technology for many lighting applications, in an ongoing search for a more efficient bulb. Now, in work published in the journal Nature Nanotechnology, researchers report that nanophotonic devices may be able to breathe new life into old incandescent technology. Marin Soljačić and Ognjen Ilic, two authors of the study, explain how they’ve been able to “recycle” some of the incandescent bulb’s wasted heat and re-emit it as visible light, boosting efficiency.

For the Lowly Incandescent Bulb, a Ray of Hope

ACL 2018 paper by Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, and Jonathan Berant

Omer comes on to tell us about a class project (done mostly by undergraduates!) that made it into ACL.  Omer and colleagues built a semantic parser that gets state-of-the-art results on the Cornell Natural Language Visual Reasoning dataset.  They did this by using "abstract examples" - they replaced the entities in the questions and corresponding logical forms with their types, labeled about a hundred examples in this abstracted formalism, and used those labels to do data augmentation and train their parser.  They also used some interesting caching tricks, and a discriminative reranker.

https://www.semanticscholar.org/paper/Weakly-supervised-Semantic-Parsing-with-Abstract-Goldman-Latcinnik/5aec2ab5bf2979da067e2aa34762b589a0680030

Episode 59_Omer Goldman

59 - Weakly Supervised Semantic Parsing With Abstract Examples, with Omer Goldman

In this special episode, Carissa Schoenick, a program manager and communications director at AI2 interviewed Matt Gardner about AllenNLP. We chatted about the origins of AllenNLP, the early challenges in building it, and the design decisions behind the library. Given the release of AllenNLP 1.0 this week, we asked Matt what users can expect from the new release, what improvements the AllenNLP team is working on for the future versions.

115 - AllenNLP, interviewing Matt Gardner

Science, technology, and other cool stuff from public radio's Science Friday. It's brain fun, for curious people. From WNYC Studios.

The Best Science Books of 2015

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