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These limitations are particularly prohibitive for deep\u2010space exploration, where extreme temperatures, ultra\u2010strong magnetic fields, and intense radiation rapidly incapacitate conventional electronics without massive shielding. Here, we present an intrinsically resilient, strain\u2010mediated antiferromagnetic MnIr\/PMN\u2010PT edge processor that operates reliably as a bare die under temperatures up to 500 K, magnetic fields of 55 T, and radiation doses of 1.5 Mrad. By exploiting an Input\u2010Modulated In Situ Self\u2010Refreshing Encoding mechanism, the device performs nonlinear feature extraction and classification directly from raw analog signals, enabling an analog computing architecture that requires no time\u2010frequency transformation. This architecture achieves 99.8% accuracy in speech recognition without digital preprocessing and 100% accuracy in astronaut visual object recognition. 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This work expands the functional scope of antiferromagnetic devices beyond memory and logic, establishing them as a promising materials platform for energy\u2010efficient physical computing and autonomous intelligence in extreme environments.<\/jats:p>","DOI":"10.1002\/adma.75126","type":"journal-article","created":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T07:12:34Z","timestamp":1790493154000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Bare\u2010Die Antiferromagnetic Computing"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5863-8715","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"first","affiliation":[{"name":"School of Materials Science and Engineering Beihang University  Beijing China"},{"name":"State Key Laboratory of Tropic Ocean Engineering Materials and Materials Evaluation Beihang University  Beijing China"},{"name":"College of Integrated Circuit 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