- Acquiring Object Experiences at Scale — software to let a robot examine a pile of objects, unattended overnight.
- Economics Apparently Not Replicable (PDF) — We successfully replicate the key qualitative result of 22 of 67 papers (33%) without contacting the authors. Excluding the six papers that use confidential data and the two papers that use software we do not possess, we replicate 29 of 59 papers (49%) with assistance from the authors. Because we are able to replicate less than half of the papers in our sample even with help from the authors, we assert that economics research is usually not replicable.
- 26 Things I Learned in the Deep Learning Summer School — 20. When Frederick Jelinek and his team at IBM submitted one of the first papers on statistical machine translation to COLING in 1988, they got the following anonymous review: The validity of a statistical (information theoretic) approach to MT has indeed been recognized, as the authors mention, by Weaver as early as 1949. And was universally recognized as mistaken by 1950 (cf. Hutchins, MT – Past, Present, Future, Ellis Horwood, 1986, p. 30ff and references therein). The crude force of computers is not science. The paper is simply beyond the scope of COLING.
- The Final Leaked TPP Text is All That We Feared (EFF) — If you dig deeper, you’ll notice that all of the provisions that recognize the rights of the public are non-binding, whereas almost everything that benefits rightsholders is binding.
Four short links: 12 October 2015
Unattended Robots, Replicable Economics, Deep Learning Learnings, and TPP Problems
tags: copyright, deep learning, economics, ip, law, machine learning, robots, science