“In Deep Learning what we do is try to minimize the amount of hand engineering and get the neural nets to learn, more or less, everything. Instead of programing computers to do particular tasks, you program the computer to know how to learn. And then you can give it any old task, and the more data and the more computation you provide, the better it will get.”
The news has started to pile up this post-Holiday Season, so here is the HPC News with Snark for Friday, January 16, 2014. We’ve got podcasts on everything form self-driving cars to Data Breaches resulting from North Korean satire films. There’s even some big financial surprises from Intel.
Over at the Cray Blog, David Wallace looks at OpenACC, its programming benefits, and how it is evolving as an industry coalition. OpenACC allows HPC programmers to worry more about the problem they are trying to solve and less about the language and hardware they are using to solve the problem. By enabling parallelism via […]