Artificial intelligence is giving some climate research projects a much-needed boost at a time of worsening extreme weather and funding cuts that threaten science in the U.S. and elsewhere.
While generative AI faces criticism due to the large amounts of power required to train and run sophisticated models, it also holds the promise of advancing science. Copy article link
kAm“xE’D 2 8:82?E:4 DE6A 7@CH2C5[” D2JD Á?86= q@C;2[ 2 3:@=@8:DE 2E p+%x >2C:?6 C6D62C49 46?E6C :? ?@CE96C? $A2:?] “xE H:== 2==@H FD E@ AC@46DD 52E2 2?5 86E C6DF=ED >F49 72DE6C[ D@ A6@A=6 E92E >2<6 564:D:@?D 42? 24E 72DE6C[ E@@]”k^Am kAm#6D62C496CD 2C6 E6249:?8 6I:DE:?8 px >@56=D 2?5 4C62E:?8 ?6H @?6D E@ A6C7@C> C@FE:?6 E2D<D E92E H@F=5 C6BF:C6 D6G6C2= A6@A=6 E@ H@C< 7@C H66<D @C 6G6? >@?E9D] s2E2 82E96C65 :? D4:6?E:7