21–30 of 62 posts
Earlier quoted context omitted.
biology is not my forte but- i imagine "dark data" (with context) is always more valuable than no data.
Last time your build failed because you made a typo, did you package it up and release that version anyway?
Earlier quoted context omitted.
Not if your dark data is "I forgot to autoclave an instrument and contaminated my samples." In that case without an unexpected positive result it's just error and not worth reporting.
biology is not my forte but- i imagine "dark data" (with context) is always more valuable than no data.
Even if you have the best biosafety hood with proper airflow to pull things away from your samples, even the simple mistake of taking off your gloves in the hood or wafting your hands over petri dishes is enough for some skin cells carrying bacteria to wipe out an entire experiment.
Earlier quoted context omitted.
biology is not my forte but- i imagine "dark data" (with context) is always more valuable than no data.
Wrong data is much much worse that no data, since it may lead you down the wrong path. Think what the false news of a Russian nuclear strike in US soil would have done during the Cold War.
https://en.wikipedia.org/wiki/Stanislav_Petrov
We were one sane man away from world war 3.
Software is a tool that humans create and use, not an entity in itself. Even if you think true AI is near at hand, this article describes nothing of the sort.
Houses are far easier to build with saws, hammers, and nails than by manipulating wood, earth, and metal with our bare hands, but that does mean the tools built the house.
Lawrence Berkeley National Laboratory vector space for hidden relationships: http://newscenter.lbl.gov/news-releases/2008/07/09/berkeley-...
A Search Engine that Thinks http://newscenter.lbl.gov/feature-stories/2005/03/31/a-searc...
Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span - Blei DM1, Franks K, Jordan MI, Mian IS. - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868
Coming from medicine I think the title of "medical breakthrough" is too generous. It's a great proof of concept but all this says is that in rats, high Bp in thoracic spinal cord injuries was associated with worse outcomes. Id like to see a follow up on human data from perioperative Bp recordings next. If it still holds true, then you can research whether an intervention in Bp control makes a difference. I'm not a neurosurgeon but I'm sure the correlation btw Bp and sci outcomes has been looked at before
Could someone please offer a TLDR; The article seems very clickbait and full of teases.
Before Ferguson had thought to use it for probing spinal cord injuries, Carlsson and others researchers had successfully employed TDA to find a unique mutation in breast cancers hiding in data sets that had been publicly available for more than a decade...\" In the case of the spinal cord injury data, Ayasdi 's TDA-driven approach mostly confirmed what researchers already knew: The drugs didn 't work...
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http://www.ayasdi.com/company/careers/
Come be a part of future breakthroughs.
Earlier quoted context omitted.
Frequently a lot of this hoarded data is flawed or defective due to improper setup or execution of the experiment. That isn't to say the information in this "dark data" is useless, but it needs to be taken in context. The cleanest data with the best results are put forward into a paper; the chaff is not.
Shouldn't this be noted? Isn't providing the "best" data risking making data fit your hypothesis?
http://www.nature.com/news/blind-analysis-hide-results-to-se...