We pretrain with SatCLIP LEs with different vision encoder backbones (ResNet18, ResNet50, ViT16). Here is how SatCLIP embeddings compare to those of existing location encoders. (GPS2Vec: https://t.co/4cqcg0KszN, MOSAIKS: https://t.co/IPiP2eyINx) 9/16 htt
A generalizable and accessible approach to machine learning with global satellite imagery #NEW #Trending #Tech #Science #DataAnalytics #sustainability #CovidIsNotOver Tweets by Jin Zhang @DschinnZhang @The_InnovationJ @CellPressNews https://t.co/Vc9eul2
A team of scientists has devised a machine learning system to tap the problem-solving potential of satellite imaging. The tool employs low-cost, user friendly technology that could bring access & analytical power to researchers and governments worldwid
See the associated publication here: https://t.co/zsVripNbeC
More details here https://t.co/oxyW2gb6ac Currently working with UNDP to improve spatial resolution of the human development index.
RT @rolf_comma_e: Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is…
RT @rolf_comma_e: Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is…
MOSAIKS - https://t.co/73MzLTZbPT - Very solid encouragement for those of us who don't want to just add neurons! :)
RT @krvarshney: Really great to see the release of an accessible and generalizable learned representation for satellite imagery that can be…
Really great to see the release of an accessible and generalizable learned representation for satellite imagery that can be used in diverse (social impact) prediction tasks by @impact_lab @beenwrekt. https://t.co/CXmqirYxKX
RT @carlcarrie: Satellite imagery is currently growing at 80 Terabytes per day. Paper shows a cost-efficient approach to combining satellit…
RT @CEGA_UC: Combining #satellite images & #MachineLearning can allow for remote estimation of #socioeconomic & #environmental conditions i…
Combining #satellite images & #MachineLearning can allow for remote estimation of #socioeconomic & #environmental conditions in areas w/ little data, according to a new @NatureComms study by affiliated prof Solomon Hsiang & coauthors: https://t
A team based at UC Berkeley has devised a system to combine satellite imagery with machine learning via @NaturePortfolio https://t.co/h4IsLsIGpJ
RT @rnomics: Top #tweeted story in #structbio: A generalizable and accessible approach to machine learning with global satellite imagery -…
Top #tweeted story in #structbio: A generalizable and accessible approach to machine learning with global satellite imagery - PubMed https://t.co/PBByrDG6y1, see more https://t.co/ThsI8L7UXY
A generalizable and accessible approach to machine learning with global satellite imagery by Esther Rolf https://t.co/2nMNJgIHyN
RT @SustainHistory: A generalizable and accessible approach to #machinelearning with global #satellite imagery https://t.co/H0FCzrcJnL
RT @SustainHistory: A generalizable and accessible approach to #machinelearning with global #satellite imagery https://t.co/H0FCzrcJnL
A generalizable and accessible approach to #machinelearning with global #satellite imagery https://t.co/H0FCzrcJnL
Satellite imagery is currently growing at 80 Terabytes per day. Paper shows a cost-efficient approach to combining satellite imagery with machine learning (SIML) with transforms of each satellite image into a vector of variables - no image storage needed
RT @CALLISTO_H2020: Can complex global 🌍 #challenges be addressed by combining #satellite imagery 🛰️ with #MachineLearning technology? Fin…
Can complex global 🌍 #challenges be addressed by combining #satellite imagery 🛰️ with #MachineLearning technology? Find out on the latest study published in the journal Nature Communications ➡️ https://t.co/4LIO6lBOjt
RT @rolf_comma_e: Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is…
RT @ApprovedAmerica: A generalizable and accessible approach to machine learning with global satellite imagery. 🛰 https://t.co/3atLm0R5ge
A generalizable and accessible approach to #MachineLearning with global satellite imagery - PubMed https://t.co/Ykom6oFLda
A generalizable and accessible approach to #MachineLearning with global satellite imagery - PubMed https://t.co/k8VBx6E69j H/T: @SRMicro_papers
A generalizable and accessible approach to machine learning with global satellite imagery by Esther Rolf https://t.co/Jan2BZa86L
MOSAIKS: a system for planet-scale prediction of multiple outcomes using satellite imagery & machine learning https://t.co/UOgKuWOeUc
RT @emLabUCSB: A #machinelearning breakthrough: using #satellite images to improve human lives. New paper in @NatureComms details an innova…
RT @rolf_comma_e: Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is…
With 700+ satellites orbiting Earth, Bren faculty Tamma Carleton and collaborators found that this imagery could be combined with machine learning to address global climate challenges - using a SIML system accessible to any user with basic resources. 🌍💻 h
RT @rolf_comma_e: Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is…
A #machinelearning breakthrough: using #satellite images to improve human lives. New paper in @NatureComms details an innovative approach that could bring access & analytical power to researchers & governments worldwide. 📰: https://t.co/ARpSYQvzYb
RT @ianbolliger: Very proud that this work is finally out! This is the product of a very interdisciplinary team working hard over several y…
Very proud that this work is finally out! This is the product of a very interdisciplinary team working hard over several years to make satellite imagery more accessible and useful to researchers, policy makers, and other users. Press release here: https://
Read about MOSAIKS, a system for planet-scale prediction of multiple outcomes using satellite imagery and machine learning https://t.co/UOgKuX5QiM
Our project MOSAIKS -- "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery" -- is out at Nature Comms! https://t.co/yomVnsg0wI w/ Jonathan Proctor, Tamma Carleton, @ianbolliger , @Vaishaal , Miyabi Ishihara, Ben Rec
RT @Femi_Farmer: A new MOSAIKS tool can run global high-resolution mapping at your fingertips (literally) radically easier, faster, super!…
RT @Femi_Farmer: A new MOSAIKS tool can run global high-resolution mapping at your fingertips (literally) radically easier, faster, super!…
RT @Femi_Farmer: A new MOSAIKS tool can run global high-resolution mapping at your fingertips (literally) radically easier, faster, super!…
A new MOSAIKS tool can run global high-resolution mapping at your fingertips (literally) radically easier, faster, super! https://t.co/yxsVGcNYro #BDPGLOBAL2020 https://t.co/7q6kyjYbIH
"A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery", Esther Rolf, Jonathan … https://t.co/RkYbihx6k5
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, and Solomon Hsiang https://t.co/CPWJdiOtFM
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, and Solomon Hsiang https://t.co/9A92vhl5aU
RT @arXiv_reaDer: A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery グローバル衛星画像を使用した機械学習への一般化可能でアクセス可…
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery グローバル衛星画像を使用した機械学習への一般化可能でアクセス可能なアプローチ 2020-10-16T05:00:39+00:00 arXiv: https://t.co/Yw0Ary7qP7 英/日サマリ↓ https://t.co/yWutrUmxmo
RT @arxiv_cscv: A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery https://t.co/vPzycsg4uI
RT @MLandDL_papers: A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. (arXiv:2010.08168v1 [cs.LG])…
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. (arXiv:2010.08168v1 [cs.LG]) https://t.co/HmGh4QvyAa