ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=uoUzmKC aloe-noreply@dfki.uni-kl.de Martin http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3 This feed contains recent activities on resource "paper.pdf" in [ALOE] http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=uoUzmKC ALOE http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=uoUzmKC aloe-noreply@dfki.uni-kl.de Martin http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3 http://aloe-project.de/AloeFeeds/action/atomFeedResourceActivities?resourceId=uoUzmKC:6:2024-09-20 13:02:42.0 September 20, 2024 1:02:00 PM CEST: User <a href="http://aloe-project.de/AloeView/action/userData?userId=lzwX6p3"><b>Martin</b></a> contributed resource <a href="http://aloe-project.de/AloeView/action/resourceDetailed?resourceId=uoUzmKC"><b>paper.pdf</b></a> with the following metadata:<br/><br/><i>associatedDate</i>: <b></b><br/><i>creator</i>: <b>Rolnick et al</b><br/><i>description</i>: <b>Climate change is one of the greatest challenges facing humanity, and we, as machine learning ex-perts, may wonder how we can help. Here we describe how machine learning can be a powerful tool inreducing greenhouse gas emissions and helping society adapt to a changing climate. From smart gridsto disaster management, we identify high impact problems where existing gaps can be filled by machinelearning, in collaboration with other fields. Our recommendations encompass exciting research ques-tions as well as promising business opportunities. We call on the machine learning community to jointhe global effort against climate change.</b><br/><i>language</i>: <b></b><br/><i>license</i>: <b></b><br/><i>publisher</i>: <b></b><br/><i>resourceType</i>: <b>resource-bookmark</b><br/><i>rightsHolder</i>: <b></b><br/><i>tags</i>: <b>tackling climate change with machine learning</b><br/><i>title</i>: <b>paper.pdf</b><br/>