- Wiki New Zealand — open data site, and check out the chart builder behind the scenes for importing the data. It’s magic.
- stenographer (Google) — open source packet dumper for capturing data during intrusions.
- Which GPU for Deep Learning? — a lot of numbers. Overall, I think memory size is overrated. You can nicely gain some speedups if you have very large memory, but these speedups are rather small. I would say that GPU clusters are nice to have, but that they cause more overhead than the accelerate progress; a single 12GB GPU will last you for 3-6 years; a 6GB GPU is plenty for now; a 4GB GPU is good but might be limiting on some problems; and a 3GB GPU will be fine for most research that looks into new architectures.
- 23andMe Wins FDA Approval for First Genetic Test — as they re-enter the market after FDA power play around approval (yes, I know: one company’s power play is another company’s flouting of safeguards designed to protect a vulnerable public).
Four short links: 24 February 2015
Open Data, Packet Dumping, GPU Deep Learning, and Genetic Approval
tags: bio, deep learning, genomics, hardware, machine learning, numbers, open data, open source, regulation, security