{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Writing: Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","description":"Microsoft writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24","json_url":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24/signal.json","generated_at":"2026-08-28T17:29:23.169Z","evidence_latest_fetched_at":"2026-08-11T20:02:54.794096+00:00","signal_first_seen_at":"2026-08-11T20:01:48.472161+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24","signal_json":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24/signal.json","source":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"}]}},"answer_pack":{"answer":"Microsoft published Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Substantive Microsoft research post on radiology VLM. · Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement - Microsoft Research.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Evals and quality in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","source_host":"microsoft.com","occurred_at":"2026-08-11T16:00:00+00:00","first_seen_at":"2026-08-11T20:01:48.472161+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"Microsoft","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"microsoft.com","source":"source"},{"label":"Author","value":"Mercy Ranjit, Nikhilesh E, Dr. Abhyuday Kumara Swamy, Tanuja Ganu","source":"source"},{"label":"Notability","value":"Substantive Microsoft research post on radiology VLM.","source":"signal"},{"label":"Radar lane","value":"Evals and quality","source":"radar"},{"label":"Matched 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use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-08-11T20:02:54.794096+00:00"},"data_business":{"matches":true,"lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"}],"matched_terms":["measurement"],"score":13,"reason":"Microsoft has a writing signal matching evals and quality."},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24/signal.json","dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":"https://onlylabs.fyi/data-radar.json","opportunities_json":"https://onlylabs.fyi/opportunities.json"},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which data-business lane explains this signal: Evals and quality?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24/signal.json","required":true},{"label":"source","url":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/microsoft/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/microsoft/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","required":false},{"label":"data_radar_json","url":"https://onlylabs.fyi/data-radar.json","required":true}],"expected_output":["one-paragraph source-grounded interpretation","data-business implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Microsoft's writing signal \"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement\" for frontier lab strategy and data-business implications."},"semantic_triples":[{"subject":"Microsoft","predicate":"published","object":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","text":"Microsoft published Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"is classified as","object":"writing signal","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement is classified as writing signal."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"belongs to","object":"talking desk","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement belongs to talking desk."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has evidence coverage 1 captured evidence page."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"matches data-business lanes","object":"Evals and quality","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement matches data-business lanes Evals and quality."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has captured page count","object":"1","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has captured page count 1."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has readable page count","object":"1","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has readable page count 1."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has related signal count","object":"6","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has related signal count 6."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has source host","object":"microsoft.com","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has source host microsoft.com."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has lab","object":"Microsoft","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has lab Microsoft."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has signal desk","object":"talking","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has signal desk talking."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has source host","object":"microsoft.com","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has source host microsoft.com."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has author","object":"Mercy Ranjit, Nikhilesh E, Dr. Abhyuday Kumara Swamy, Tanuja Ganu","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has author Mercy Ranjit, Nikhilesh E, Dr. Abhyuday Kumara Swamy, Tanuja Ganu."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has notability","object":"Substantive Microsoft research post on radiology VLM.","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has notability Substantive Microsoft research post on radiology VLM.."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has radar lane","object":"Evals and quality","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has radar lane Evals and quality."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has matched term","object":"measurement","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has matched term measurement."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has watch term","object":"RL environments","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has watch term RL environments."}]},"intelligence":{"signal_desk":"talking","answer":"Microsoft published Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Substantive Microsoft research post on radiology VLM. · Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement - Microsoft Research.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Evals and quality in the data-business radar.","semantic_triples":[{"subject":"Microsoft","predicate":"published","object":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","text":"Microsoft published Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"is classified as","object":"writing signal","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement is classified as writing signal."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"belongs to","object":"talking desk","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement belongs to talking desk."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement has evidence coverage 1 captured evidence page."},{"subject":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","predicate":"matches data-business lanes","object":"Evals and quality","text":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement matches data-business lanes Evals and quality."}]},"signal":{"id":"ba76b538-0810-495a-92d7-7ec14af5ae24","url":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24","json_url":"https://onlylabs.fyi/signals/ba76b538-0810-495a-92d7-7ec14af5ae24/signal.json","source_url":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","title":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","summary":"Microsoft published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-08-11T16:00:00+00:00","first_seen_at":"2026-08-11T20:01:48.472161+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":{"lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals"}],"score":13,"matched_terms":["measurement"],"reason":"Microsoft has a writing signal matching evals and quality."}},"primary_evidence_page":{"is_primary":true,"source_match":true,"url":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","final_url":"https://www.microsoft.com/en-us/research/blog/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement/","title":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","http_status":200,"content_type":"text/html; charset=UTF-8","capture_method":"plain","fetched_at":"2026-08-11T20:02:54.794096+00:00","bytes":252950,"raw_path":"0027655752f485505679840a6f0d22fe30fb614d6507e48149a9ef8190bd1abd.html","content_hash":"b9ec4e000001bc910c04da8add5a8909ddfa075530e48167d016fa05deced1aa","excerpt_chars":1200,"truncated":true,"excerpt":"Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement - Microsoft Research Skip to main content Research Publications Code & data People Microsoft Research blog Artificial intelligence Audio & acoustics Computer vision Graphics & multimedia Human-computer interaction Human language technologies Search & information retrieval Data platforms and analytics Hardware & devices Programming languages & software engineering Quantum computing Security, privacy & cryptography Systems & networking Algorithms Mathematics Ecology & environment Economics Medical, health & genomics Social sciences Technology for emerging markets Academic programs Events & academic conferences Microsoft Research Forum Behind the Tech podcast Microsoft Research blog Microsoft Research Forum Microsoft Research podcast About Microsoft Research Careers & internships People Emeritus program News & awards Microsoft Research newsletter Africa AI for Science AI Frontiers Asia-Pacific Cambridge Health Futures India Montreal New England New York City Redmond Applied Sciences Mixed Reality & AI - Cambridge Mixed Reality & AI - Zurich..."},"evidence_pages":[],"related_signals":[{"id":"a254afd3-905c-4fa0-a8bc-db00c95dd29a","url":"https://onlylabs.fyi/signals/a254afd3-905c-4fa0-a8bc-db00c95dd29a","source_url":"https://www.microsoft.com/en-us/research/blog/broadening-access-to-skala-creates-a-faster-path-to-predictive-dft/","title":"Broadening access to Skala creates a faster path to predictive DFT ","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-08-20T16:00:00+00:00","first_seen_at":"2026-08-20T20:01:50.277794+00:00","date_source":"rss.item_date"},{"id":"b6d2f02b-335c-4410-bf5e-b360dac9867e","url":"https://onlylabs.fyi/signals/b6d2f02b-335c-4410-bf5e-b360dac9867e","source_url":"https://www.microsoft.com/en-us/research/blog/mindtopo-reveals-vlms-spatial-reasoning-abilities/","title":"MindTopo reveals VLMs’ spatial reasoning abilities","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-08-12T16:00:00+00:00","first_seen_at":"2026-08-28T00:01:42.542004+00:00","date_source":"rss.item_date"},{"id":"b0b550db-e6b5-47b6-a5fd-365b2de0ad4e","url":"https://onlylabs.fyi/signals/b0b550db-e6b5-47b6-a5fd-365b2de0ad4e","source_url":"https://www.microsoft.com/en-us/research/blog/echoverse-deep-evolving-environments-for-computer-use-agents/","title":"Echoverse: Deep, evolving environments for computer-use agents","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-07-30T17:00:00+00:00","first_seen_at":"2026-07-30T20:00:49.581231+00:00","date_source":"rss.item_date"},{"id":"fd48f1bc-5814-445e-9287-8976afa6142c","url":"https://onlylabs.fyi/signals/fd48f1bc-5814-445e-9287-8976afa6142c","source_url":"https://www.microsoft.com/en-us/research/blog/evolib-turning-experience-into-evolving-knowledge/","title":"EvoLib: Turning experience into evolving knowledge","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-07-30T16:00:00+00:00","first_seen_at":"2026-07-30T16:01:41.893268+00:00","date_source":"rss.item_date"},{"id":"86bca896-63ca-4e6b-944b-286e401a44bf","url":"https://onlylabs.fyi/signals/86bca896-63ca-4e6b-944b-286e401a44bf","source_url":"https://www.microsoft.com/en-us/research/blog/verifying-rust-cryptography-in-symcrypt-from-standards-to-code/","title":"Verifying Rust cryptography in SymCrypt, from standards to code","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-07-13T16:00:00+00:00","first_seen_at":"2026-07-17T00:00:49.546755+00:00","date_source":"rss.item_date"},{"id":"1de25add-70a3-4dba-abb4-788e8bfa023e","url":"https://onlylabs.fyi/signals/1de25add-70a3-4dba-abb4-788e8bfa023e","source_url":"https://www.microsoft.com/en-us/research/blog/aurora-1-5-extending-open-foundation-models-for-weather-and-earth-system-applications/","title":"Aurora 1.5: Extending open foundation models for weather and Earth-system applications","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab"},"occurred_at":"2026-07-09T16:46:22+00:00","first_seen_at":"2026-07-09T20:01:42.067565+00:00","date_source":"rss.item_date"}]}