And you are here why?

Deep Learning has — fundamentally — changed  so much  about how we approach problems across a ridiculous number of areas, and it’s only accelerating. It’s not just about doing amazing things with images like  Style Transfer , or  Painting , or even  removing Henry Cavill’s mustache,  it’s now getting deeply embedded in tools for  Marketing ,  Dentistry , and  Voice synthesis  (because you want your GPS directions to be read out by your spouse maybe?). It’s all really good stuff, with one underlying issue,   we don’t really know how the stuff works! Take the de-noising of images for example. Before Deep Learning came around, there was a ton of work — all rigorously based on mathematics and science — that went into the algorithms that were used. Partial differential equations, anisotropic diffusion, and a host of other techniques,  all of which have solid theoretical foundations . And then, in 2012, Burger et al. threw De...

The Guardian (of course) has a pretty neat chart up comparing the political knowledge of men vs. women .  The results are pretty weird - fascinating, yet weird. Basically, regardless of the state of gender-equality in the country, women know less about politics than men. It doesn't matter whether its a developing country, a developed country, Asian, European, or American, its pretty much the same. In fact, there seems to be a correlation between increasing gender equality and greater gaps - Professor James Curran, Director of the Goldsmiths Leverhulme Media Research Centre at the University of London, was surprised to find that gaps in political knowledge are wider in countries that have done the most to promote gender equality. These gender gaps in Norway, the UK and the US are as large, or larger than gaps in South Korea and Japan The most likely reason seems to be a male bias in media - Professor Hayashi concludes that the main reasons for  the gender gap in po...