51–60 of 77 posts
Earlier quoted context omitted.
Why do you feel sad about the fact that an individual who values science is "privately funding" a great publication? surely you don't object to private wealth and/or activity?
Being dependent on the whim of a wealthy individual is saddening.
Can anyone speak to whether PRNGs might be affected?
Earlier quoted context omitted.
Yeah it's kind of sad to me. Quanta is amazing but I'm not sure if I could reasonably expect to exist without Simons or someone like him privately funding it
Why do you feel sad about the fact that an individual who values science is "privately funding" a great publication? surely you don't object to private wealth and/or activity?
Earlier quoted context omitted.
Being dependent on the whim of a wealthy individual is saddening.
Could one be, instead, appreciative of and grateful to the considered, generous decision of that individual? how do you think he would respond to someone expressing one kind of feeling or the other?
Don't be too seduced by the enticing ideas at the end of the article. The disconnect here is that success in learning how to predict the results of an algorithmic simulation is not really indicative of how it would perform with the decidedly non-algorithmic natural behavior of weather or earthquakes, phenomena which don't operate in a closed system with predefined limits and parameters. It sounds like the next step,…
There has been some success using Ensemble Kalman Filters (EnKF) to predict hurricanes [1]. I think that these filters sit somewhere between machine learning and deterministic models. The filters are based on a semi-realistic mathematical model but are updated with statistics every few hours so that they can improve their predictions.
As you said, going full on machine learning "sounds like the next step". However, I would disagree that the ideas at the end of the article are unrealistic. If the new technique can beat the Kalman filters it is already useful.
Don't be too seduced by the enticing ideas at the end of the article. The disconnect here is that success in learning how to predict the results of an algorithmic simulation is not really indicative of how it would perform with the decidedly non-algorithmic natural behavior of weather or earthquakes, phenomena which don't operate in a closed system with predefined limits and parameters. It sounds like the next step,…
Don't be too seduced by the enticing ideas at the end of the article. The disconnect here is that success in learning how to predict the results of an algorithmic simulation is not really indicative of how it would perform with the decidedly non-algorithmic natural behavior of weather or earthquakes, phenomena which don't operate in a closed system with predefined limits and parameters. It sounds like the next step,…
A "chaotic system" that is (a) real (b) a system and (c) condition data is a crossable hurdle. Ideas?
I want to know how this does with traffic. Pretty remarkable.
I'd like to apply it to the stock market.
Don't be too seduced by the enticing ideas at the end of the article. The disconnect here is that success in learning how to predict the results of an algorithmic simulation is not really indicative of how it would perform with the decidedly non-algorithmic natural behavior of weather or earthquakes, phenomena which don't operate in a closed system with predefined limits and parameters. It sounds like the next step,…