top | item 33643373 (no title) lob_it | 3 years ago Yay! When they add the datasets for tundra melting and unaccounted methane emissions, deep-learning can finally figure it out with quality datasets :|https://www.scientificamerican.com/article/melting-tundra-re...2=1+1 in 2022 :)Thanks data! discuss order hn newest brandonmrose|3 years ago That's definitely the goal! Look at arbitrary datasets and try to understand what's in them. It's particularly important for climate data where aligning different datasets geospatially and temporally can be a challenge. lob_it|3 years ago We already know why it happened. No amount of compute can answer the obvious.Its easy to adapt using basic science :)No word yet on the offset the nord stream blowout caused, in addition to the tundra melts that occured <air quotes> naturally </air quotes>.
brandonmrose|3 years ago That's definitely the goal! Look at arbitrary datasets and try to understand what's in them. It's particularly important for climate data where aligning different datasets geospatially and temporally can be a challenge. lob_it|3 years ago We already know why it happened. No amount of compute can answer the obvious.Its easy to adapt using basic science :)No word yet on the offset the nord stream blowout caused, in addition to the tundra melts that occured <air quotes> naturally </air quotes>.
lob_it|3 years ago We already know why it happened. No amount of compute can answer the obvious.Its easy to adapt using basic science :)No word yet on the offset the nord stream blowout caused, in addition to the tundra melts that occured <air quotes> naturally </air quotes>.
brandonmrose|3 years ago
lob_it|3 years ago
Its easy to adapt using basic science :)
No word yet on the offset the nord stream blowout caused, in addition to the tundra melts that occured <air quotes> naturally </air quotes>.