{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:35:14Z","timestamp":1775367314990,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T00:00:00Z","timestamp":1726444800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T00:00:00Z","timestamp":1726444800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,16]]},"DOI":"10.1109\/e-science62913.2024.10678688","type":"proceedings-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T17:23:25Z","timestamp":1726853005000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload"],"prefix":"10.1109","author":[{"given":"Jonah","family":"Ekelund","sequence":"first","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}]},{"given":"Ricardo","family":"Vinuesa","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}]},{"given":"Yuri","family":"Khotyaintsev","sequence":"additional","affiliation":[{"name":"Swedish Institute of Space Physics,Uppsala,Sweden"}]},{"given":"Pierre","family":"Henri","sequence":"additional","affiliation":[{"name":"CNRS Researcher, Lagrange, OCA, Nice & LPC2E,Orléans,France"}]},{"given":"Gian Luca","family":"Delzanno","sequence":"additional","affiliation":[{"name":"Los Alamos National Laboratory,Los Alamos,NM,USA"}]},{"given":"Stefano","family":"Markidis","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology,Stockholm,Sweden"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3376897.3377864"},{"key":"ref2","first-page":"1575","article-title":"Neural network system for the analysis of transient phenomena on board the demeter microsatellite","volume":"E82-A","author":"Elie","year":"1999"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1029\/2018JA026176"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-010-0332-2_1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-2618"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11214-014-0128-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00091"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00098"},{"key":"ref10","volume-title":"Onnx"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"ref12","first-page":"09181","article-title":"Approximation of functions with one-bit neural networks","author":"G\u00fcnt\u00fcrk","year":"2023"},{"issue":"187","key":"ref13","first-page":"1","article-title":"Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations","volume":"18","author":"Hubara","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11214-016-0245-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11214-014-0087-x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2014.6836373"},{"key":"ref17","volume-title":"Collection of the basic texts of the International Telecommunication Union adopted by the Plenipotentiary Conference"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1538-3873\/acbb9f"},{"key":"ref19","article-title":"Iris Deep-Space Transponder for SLS EM-1 CubeSat Missions","author":"Kobayashi","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1029\/2021JA029620"},{"key":"ref21","year":"2019","journal-title":"IEEE Std 754-2019 (Revision of IEEE 754-2008) : IEEE Standard for Floating-Point Arithmetic"},{"key":"ref22","volume-title":"The BFloat16 numerical format"},{"key":"ref23","author":"Kalamkar","year":"2019","journal-title":"A Study of BFLOAT16 for Deep Learning Training"},{"key":"ref24","author":"Caballero","year":"2021","journal-title":"Inference of Recyclable Objects with Convolutional Neural Networks"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00118"},{"key":"ref26","first-page":"1737","article-title":"Deep Learning with Limited Numerical Precision","volume-title":"Proceedings of the 32nd International Conference on Machine Learning","author":"Gupta"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3125567"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-34436-w"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11214-014-0049-3"},{"key":"ref30","volume-title":"MMS Science Data Center","year":"2024"}],"event":{"name":"2024 IEEE 20th International Conference on e-Science (e-Science)","location":"Osaka, Japan","start":{"date-parts":[[2024,9,16]]},"end":{"date-parts":[[2024,9,20]]}},"container-title":["2024 IEEE 20th International Conference on e-Science (e-Science)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10677510\/10678656\/10678688.pdf?arnumber=10678688","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T04:02:56Z","timestamp":1726977776000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10678688\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,16]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/e-science62913.2024.10678688","relation":{},"subject":[],"published":{"date-parts":[[2024,9,16]]}}}