{"id":183303,"date":"2026-09-09T22:54:22","date_gmt":"2026-09-09T20:54:22","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/axonos-real-time-os-dlya-nejrokompyuternyh-interfejsov"},"modified":"2026-09-09T22:54:30","modified_gmt":"2026-09-09T20:54:30","slug":"axonos-real-time-os-for-brain-computer-interfaces","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/axonos-real-time-os-for-brain-computer-interfaces","title":{"rendered":"AxonOS \u2014 realtids-OS f\u00f6r neurocomputer-gr\u00e4nssnitt","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>AxonOS, ett \u00f6ppet projekt som utvecklar programvaruinfrastruktur f\u00f6r system med hj\u00e4rn-dator-gr\u00e4nssnitt, har presenterats. Syftet \u00e4r att bygga ett deterministiskt exekveringslager mellan neuronautrustning och AI. AxonOS-k\u00e4rnan utvecklas p\u00e5 Rust-spr\u00e5ket i 'no_std'-l\u00e4ge med fokus p\u00e5 f\u00f6ruts\u00e4gbar realtidsk\u00f6rning, formaliserade ABI-systemanrop, en kapabilitetsbaserad \u00e5tkomstmodell, utan att blockera IPC och kontroll av k\u00f6rningstid. K\u00e4llkoden \u00e4r \u00f6ppen under MIT- eller Apache 2.0-licenser.     <\/p>\n<p>Projektet innefattar k\u00e4rna\/runtime, BCI-integration, arkitektoniska specifikationer, en samtyckes-\/beh\u00f6righetsbaserad \u00e5tkomstmodell och verktyg f\u00f6r realtidsanalys. F\u00f6r n\u00e4rvarande utvecklas AxonOS f\u00f6r ARM Cortex-M-processorer och \u00e4r i verifikationsstadiet f\u00f6r h\u00e5rdvaruutv\u00e4rdering och oberoende kontroll av realtidsfunktioner. AxonOS-arkitekturen betraktar hj\u00e4rn-dator-gr\u00e4nssnitt som ett flerskiktssystem: neuronautrustning \u2192 HAL \u2192 deterministisk runtime \u2192 IPC \u2192 beh\u00f6righets-\/samtyckesmodell \u2192 applikations- och AI-lager.      <\/p>\n<p>Projektets huvudid\u00e9 \u00e4r att skapa ett kontrollerat exekveringslager f\u00f6r applikationer, som fungerar mellan neuronautrustningen och AI, d\u00e4r kraven p\u00e5 determinism, isolering, \u00e5tkomst till neurondatan och svarstid \u00e4r en del av systemarkitekturen, snarare \u00e4n en funktion av applikationen. Ett separat sp\u00e5r av projektet handlar om att analysera den maximala exekveringstiden f\u00f6r f\u00f6rfr\u00e5gningar (WCRT, Worst-Case Response Time) f\u00f6r uppgifter med fasta prioriteringar. F\u00f6r detta utvecklas ett oberoende verktyg 'dy-wcet' \u2013 ett 'no_std' Rust-crate-paket som implementeras utan att anv\u00e4nda flyttal.<br \/>\n<br \/>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=66241\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 AxonOS, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u0443\u044e \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0434\u043b\u044f \u0441\u0438\u0441\u0442\u0435\u043c \u0441 \u043d\u0435\u0439\u0440\u043e\u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u043e\u043c, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u0443\u044e \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u0434\u0435\u0442\u0435\u0440\u043c\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0441\u043b\u043e\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043c\u0435\u0436\u0434\u0443 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u043c \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0438 AI. \u042f\u0434\u0440\u043e AxonOS \u0440\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Rust \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 &#171;no_std&#187; \u0441 \u0430\u043a\u0446\u0435\u043d\u0442\u043e\u043c \u043d\u0430 \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0443\u0435\u043c\u043e\u0435 real-time \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435, \u0444\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0439 ABI \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0445 \u0432\u044b\u0437\u043e\u0432\u043e\u0432, capability-\u043c\u043e\u0434\u0435\u043b\u044c \u0434\u043e\u0441\u0442\u0443\u043f\u0430, \u043e\u0431\u0445\u043e\u0434\u044f\u0449\u0438\u0439\u0441\u044f \u0431\u0435\u0437 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043e\u043a IPC \u0438 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044c \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f. \u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0439 \u043a\u043e\u0434 \u043e\u0442\u043a\u0440\u044b\u0442 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-183303","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 AxonOS, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u0443\u044e \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0434\u043b\u044f \u0441\u0438\u0441\u0442\u0435\u043c \u0441 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neuralkommunikationsgr\u00e4nssnitt | ProHoster","description":"Det \u00f6ppna projektet AxonOS har presenterats och utvecklar programvaruinfrastrukturen f\u00f6r system med neuralkommunikationsgr\u00e4nssnitt, avsett att bygga ett deterministiskt k\u00f6rningslager mellan neurala enheter och.","canonical_url":"https:\/\/prohoster.info\/sv\/blog\/news\/axonos-real-time-os-for-brain-computer-interfaces","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sv_SE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47AxonOS \u2014 real-time \u041e\u0421 \u0434\u043b\u044f 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