{"id":1194401,"date":"2026-11-12T14:31:57","date_gmt":"2026-11-12T21:31:57","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=1194401"},"modified":"2026-11-12T14:31:59","modified_gmt":"2026-11-12T21:31:59","slug":"microsoft-research-focus-edition-98","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/microsoft-research-focus-edition-98\/","title":{"rendered":"Microsoft Research Focus \u2013 Edition #98"},"content":{"rendered":"\n<style data-wp-block-html=\"css\">\n.yt-consent-placeholder[data-video-id=\"Hcc6Ua7uTas\"] {\n aspect-ratio: 9 \/ 16;\n max-width: 480px;\n margin: 24px auto 48px auto;\n}\n<\/style>\n\n<div class=\"yt-consent-placeholder\" data-video-id=\"Hcc6Ua7uTas\" data-poster=\"https:\/\/i.ytimg.com\/vi\/Hcc6Ua7uTas\/hqdefault.jpg\" style=\"background-image:url(https:\/\/i.ytimg.com\/vi\/Hcc6Ua7uTas\/hqdefault.jpg)\"><iframe aria-hidden=\"true\" tabindex=\"-1\" data-src=\"https:\/\/www.youtube-nocookie.com\/embed\/Hcc6Ua7uTas?rel=0&enablejsapi=1\" title=\"Microsoft Research Focus \u2013 Edition #97\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\"><\/iframe><div class=\"yt-consent-placeholder__loading\" aria-hidden=\"true\"><svg viewBox=\"0 0 48 48\" focusable=\"false\"><circle cx=\"24\" cy=\"24\" r=\"19\"><\/circle><\/svg><\/div><div class=\"yt-consent-placeholder__overlay\" hidden><button class=\"yt-consent-placeholder__play\"><svg width=\"42\" height=\"42\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\"><g fill=\"none\" fill-rule=\"evenodd\"><circle fill=\"#000\" opacity=\".556\" cx=\"21\" cy=\"21\" r=\"21\"\/><path stroke=\"#FFF\" d=\"M29 21l-12 8.5v-17z\"\/><\/g><\/svg><span class=\"yt-consent-placeholder__label\">Video playback requires cookie consent<\/span><\/button><\/div><\/div>\n\n\n\n<iframe loading=\"lazy\" src=\"https:\/\/player.blubrry.com\/id\/156008069#mode-Light&border-000000&progress-000000\" title=\"Blubrry Podcast Player\" scrolling=\"no\" width=\"100%\" height=\"165px\" frameborder=\"0\"><\/iframe>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><em>What&#8217;s new in research?<\/em>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this edition of <em>Microsoft Research Focus<\/em>, based on the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/newsletters\/research-focus-7335362495383040001\/\" data-type=\"link\" data-id=\"https:\/\/www.linkedin.com\/newsletters\/research-focus-7335362495383040001\/\">Research Focus newsletter<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, host Anson Ho shares some of the latest news and cutting-edge research from across Microsoft\u2014from bringing AI-powered universal translation closer to reality and solving a 31-year-old mathematical challenge to making AI coding agents faster and more efficient.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Catch up on the ideas, tools, and discoveries researchers are exploring today and get a quick look at what&#8217;s coming next.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-group msr-pattern-link-list is-layout-flow wp-block-group-is-layout-flow\">\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"learn-more-1\" class=\"wp-block-heading h5\">Related links:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/story\/a-research-interns-journey-from-computer-vision-to-physical-intelligence-at-microsoft-research-asia-tokyo\/\" target=\"_blank\" rel=\"noopener\">A research intern\u2019s journey from computer vision to physical intelligence at Microsoft Research Asia \u2013 Tokyo<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/breaking-the-language-barrier-how-ai-speech-translation-is-rewriting-our-digital-lives\/\" data-type=\"link\" data-id=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/breaking-the-language-barrier-how-ai-speech-translation-is-rewriting-our-digital-lives\/\">Breaking the Language Barrier \u2014 How AI Speech Translation Is Rewriting Our Digital Lives<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture\/\" data-type=\"link\" data-id=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture\/\">Solving a 31-year-old grand challenge in mathematics \u2013 the KLS conjecture<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/benchmarking-long-horizon-agent-context-compaction-with-compactionbench\/\">Benchmarking Long-Horizon Agent Context Compaction with CompactionBench<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/latent-core-tokenizer-compress-but-meaningfully\/\" data-type=\"link\" data-id=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/latent-core-tokenizer-compress-but-meaningfully\/\">Latent Core Tokenizer: Compress, but Meaningfully<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<\/div>\n\n\n\n<h2 id=\"chapters\" class=\"wp-block-heading\">Chapters&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=35s\" data-type=\"link\" data-id=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=35s\"><strong>0:35:<\/strong> Internship: Growing expertise, building community&nbsp;<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=88s\" data-type=\"link\" data-id=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=88s\"><strong>1:28:<\/strong> Breaking the language barrier with AI<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=130s\" data-type=\"link\" data-id=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=130s\"><strong>2:10:<\/strong> Solving a 31-year-old mathematics challenge<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=176s&pp=0gcJCWMAwfN6Pr3D\" data-type=\"link\" data-id=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=176s&pp=0gcJCWMAwfN6Pr3D\"><strong>2:56:<\/strong> Making AI coding agents more efficient<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=237s\" data-type=\"link\" data-id=\"https:\/\/www.youtube.com\/watch?v=Hcc6Ua7uTas&t=237s\"><strong>3:57:<\/strong> Improving AI tokenization across 104 languages<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<section class=\"wp-block-msr-subscribe-to-podcast subscribe-to-podcast\">\n\t<div class=\"subscribe-to-podcast__inner border-top border-bottom border-width-2\">\n\t\t<h2 class=\"h5 subscribe-to-podcast__heading\">\n\t\t\tSubscribe to the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\">Microsoft Research Podcast<\/a>:\t\t<\/h2>\n\t\t<ul class=\"subscribe-to-podcast__list list-unstyled\">\n\t\t\t\t\t\t\t<li class=\"subscribe-to-podcast__list-item\">\n\t\t\t\t\t<a class=\"subscribe-to-podcast__link\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/microsoft-research-a-podcast\/id1318021537?mt=2\" target=\"_blank\" rel=\"noreferrer noopener\">\n\t\t\t\t\t\t<svg 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0.297-0.156 0.709-0.235 1.125-0.235zM15.812 17.464c1.319-0.005 2.271 0.463 2.625 1.291 0.265 0.62 0.167 2.573-0.292 5.735-0.307 2.208-0.479 2.765-0.905 3.141-0.589 0.52-1.417 0.667-2.209 0.385h-0.004c-0.953-0.344-1.157-0.808-1.553-3.527-0.452-3.161-0.552-5.115-0.285-5.735 0.348-0.823 1.296-1.285 2.624-1.291z\"\/><\/svg>\n\t\t\t\t\t\t<span class=\"subscribe-to-podcast__link-text\">Apple Podcasts<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\n\t\t\t\t\t\t\t<li class=\"subscribe-to-podcast__list-item\">\n\t\t\t\t\t<a class=\"subscribe-to-podcast__link\" href=\"https:\/\/subscribebyemail.com\/www.blubrry.com\/feeds\/microsoftresearch.xml\" target=\"_blank\" rel=\"noreferrer noopener\">\n\t\t\t\t\t\t<svg class=\"subscribe-to-podcast__svg\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" fill=\"none\" viewBox=\"0 0 32 32\"><path fill=\"currentColor\" d=\"M6.4 6a2.392 2.392 0 00-2.372 2.119L16 15.6l11.972-7.481A2.392 2.392 0 0025.6 6H6.4zM4 10.502V22.8a2.4 2.4 0 002.4 2.4h19.2a2.4 2.4 0 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class=\"show-more-show-less\">\n\t\t\t<div>\n\t\t\t\t<span>\n\t\t\t\t\t\n\n<h2 id=\"transcript\" class=\"wp-block-heading\">Transcript&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">[MUSIC]<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is <em>Microsoft Research Focus<\/em>, your quick look at news and cutting-edge research from across Microsoft.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I\u2019m Anson Ho, and these are some of the latest advances we\u2019re tracking.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Coming up in this edition: how AI is bringing the possibility of a universal translator closer to reality; a breakthrough that solves a 31-year-old mathematical challenge; a new approach to make AI coding agents faster and more efficient; and more.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here&#8217;s what&#8217;s new.&nbsp;<\/p>\n\n\n\n\t\t\t\t<\/span>\n\t\t\t\t<span id=\"show-more-show-less-toggle-1\" class=\"show-more-show-less-toggleable-content\">\n\t\t\t\t\t\n\n\n\n<p class=\"wp-block-paragraph\">[MUSIC FADES]<\/p>\n\n\n\n<h3 id=\"internship-growing-expertise-building-community\" class=\"wp-block-heading h5\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/story\/a-research-interns-journey-from-computer-vision-to-physical-intelligence-at-microsoft-research-asia-tokyo\/\" target=\"_blank\" rel=\"noopener\">Internship: Growing expertise, building community<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">At the Microsoft Research lab in Tokyo, research intern Lilika Makabe found opportunities to grow her expertise while helping to shape a new research community.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Makabe joined the lab with a background in computer vision and worked alongside researchers exploring robotics and physical intelligence, AI systems that can interpret information and act in the physical world.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Her experience highlights how research internships can offer more than technical training. Through hands-on experimentation, interdisciplinary collaboration, and everyday conversations with colleagues from different backgrounds, Makabe expanded her research perspective while contributing to the lab&#8217;s growing community.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can read about her experience on the Microsoft Research blog.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[TRANSITION MUSIC]&nbsp;<\/p>\n\n\n\n<h3 id=\"breaking-the-language-barrier-with-ai\" class=\"wp-block-heading h5\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/breaking-the-language-barrier-how-ai-speech-translation-is-rewriting-our-digital-lives\/\" target=\"_blank\" rel=\"noopener\">Breaking the language barrier with AI<\/a>&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For decades, science fiction has imagined a world where language barriers no longer stand in the way of communication.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, in 1967, <em>Star Trek<\/em> introduced the fictional Universal Translator. Now, advances in AI are bringing that possibility closer to reality.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a new conversation, Microsoft Applied Science Manager Jinyu Li explores how AI is advancing the <em>prospect<\/em> of communication across languages, the progress researchers have made, and the challenges that remain.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To learn more, catch the full episode of the podcast <em>Our Digital Life<\/em>, available to listen or watch on YouTube and podcast platforms.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[TRANSITION MUSIC]<\/p>\n\n\n\n<h3 id=\"solving-a-31-year-old-mathematics-challenge\" class=\"wp-block-heading h5\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture\/\" target=\"_blank\" rel=\"noopener\">Solving a 31-year-old mathematics challenge<\/a>&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For the last 31 years, the KLS conjecture has been one of the central open problems in high-dimensional geometry. But not anymore.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">New research has resolved the conjecture. This removes a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The breakthrough establishes a universal principle for log-concave distributions: simple flat cuts can identify their narrowest bottlenecks within a fixed factor, regardless of dimension. The results have been independently validated, and the proof has also been formally verified using computer-assisted methods.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Learn more about this breakthrough on the Microsoft Research blog.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[TRANSITION MUSIC]&nbsp;<\/p>\n\n\n\n<h3 id=\"making-ai-coding-agents-more-efficient\" class=\"wp-block-heading h5\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/benchmarking-long-horizon-agent-context-compaction-with-compactionbench\/\" target=\"_blank\" rel=\"noopener\">Making AI coding agents more efficient<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Coding agents can help when writing and modifying code, but long sessions can max out the amount of information an AI model can process at once. As a result, coding agents will summarize earlier interactions in a resource-intensive process known as context compaction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A new study looked at 13.5 million coding sessions and found fewer than 8% required context compaction. Yet those sessions accounted for 44% of total AI processing costs.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To address this challenge, researchers developed COMPACTIONBENCH.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">COMPACTIONBENCH is a benchmark for evaluating context compaction during long-running coding tasks. They also introduced APEC, a method that prepares summaries in the background instead of interrupting an agent&#8217;s work.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In evaluations, APEC improved coding performance while reducing costs by up to 25.4% and execution time by 9.6%.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[TRANSITION MUSIC]<\/p>\n\n\n\n<h3 id=\"improving-ai-tokenization-across-104-languages\" class=\"wp-block-heading h5\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/latent-core-tokenizer-compress-but-meaningfully\/\" data-type=\"link\" data-id=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/latent-core-tokenizer-compress-but-meaningfully\/\">Improving AI tokenization across 104 languages<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before AI models can process text, they break it into smaller units called tokens. How that text is divided can affect both efficiency and performance, especially across different languages.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most tokenizers are designed to compress text as efficiently as possible. But a new study suggests that compression alone isn&#8217;t enough.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Researchers introduced the Latent Core Tokenizer, or LCT, which identifies reusable components of words before building a shared vocabulary across languages.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In evaluations spanning 104 languages, LCT produced more linguistically meaningful tokens than leading alternatives while maintaining comparable efficiency across languages. It also improved model performance across four multilingual benchmarks.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The findings suggest that better tokenization depends not just on how much text can be compressed, but on how well the underlying structure of language is preserved.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[MUSIC]<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And that\u2019s your <em>Microsoft Research Focus<\/em>.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">From the research culture and the collaborations driving discovery to producing more linguistically meaningful tokens, these are just a few of the developments researchers are exploring across Microsoft.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Want to learn more and stay connected? Explore the latest research, discover the people behind it, and keep tabs on the ideas shaping what&#8217;s next by visiting <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/MicrosoftResearch\" data-type=\"link\" data-id=\"https:\/\/aka.ms\/MicrosoftResearch\" target=\"_blank\" rel=\"noopener noreferrer\">aka.ms\/MicrosoftResearch<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and follow Microsoft Research on all major social platforms.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I&#8217;m Anson Ho, and thanks for tuning in.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We\u2019ll see you at the next <em>Microsoft<\/em> <em>Research Focus.<\/em>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[MUSIC FADES]&nbsp;<\/p>\n\n\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t<button\n\t\t\t\tclass=\"action-trigger glyph-prepend mt-2 mb-0 show-more-show-less-toggle\"\n\t\t\t\taria-expanded=\"false\"\n\t\t\t\tdata-show-less-text=\"Show less\"\n\t\t\t\ttype=\"button\"\n\t\t\t\taria-controls=\"show-more-show-less-toggle-1\"\n\t\t\t\taria-label=\"Show more content\"\n\t\t\t\tdata-alternate-aria-label=\"Show less content\">\n\t\t\t\tShow more\t\t\t<\/button>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>What&#8217;s new in research at Microsoft? Host Anson Ho explores the latest, including AI-powered universal translation, a breakthrough in a 31-year-old mathematics challenge, and advances making AI coding agents faster and more efficient.\u00a0<\/p>\n","protected":false},"author":44124,"featured_media":1191874,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Anson Ho","user_id":"44086"}],"msr_hide_image_in_river":0,"footnotes":""},"categories":[240054],"tags":[],"research-area":[13556,13545],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243990],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-1194401","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-msr-podcast","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-locale-en_us","msr-post-option-podcast-featured"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[{"type":"user_nicename","value":"Anson Ho","user_id":44086,"display_name":"Anson Ho","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ansonho\/\" aria-label=\"Visit the profile page for Anson Ho\">Anson Ho<\/a>","is_active":false,"last_first":"Ho, Anson","people_section":0,"alias":"ansonho"}],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-960x540-1.jpg\" class=\"img-object-cover\" alt=\"Research Focus\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-960x540-1.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-300x169-1.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-768x432-1.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1536x865-1.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-2048x1153-1.jpg 2048w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1279x720-1.jpg 1279w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1024x576-1.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1065x599-2.jpg 1065w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-653x368-1.jpg 653w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-675x380-1.jpg 675w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-640x360-1.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-240x135-1.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1280x720-1.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/10\/ResearchFocus-BlogHeroFeature-1400x788-1-1920x1080-1.jpg 1920w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","byline":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ansonho\/\" title=\"Go to researcher profile for Anson Ho\" aria-label=\"Go to researcher profile for Anson Ho\" data-bi-type=\"byline author\" data-bi-cN=\"Anson Ho\">Anson Ho<\/a>","formattedDate":"November 12, 2026","formattedExcerpt":"What&#039;s new in research at Microsoft? Host Anson Ho explores the latest, including AI-powered universal translation, a breakthrough in a 31-year-old mathematics challenge, and advances making AI coding agents faster and more efficient.\u00a0","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1194401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/44124"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=1194401"}],"version-history":[{"count":9,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1194401\/revisions"}],"predecessor-version":[{"id":1194417,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/1194401\/revisions\/1194417"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1191874"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1194401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=1194401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=1194401"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1194401"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=1194401"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=1194401"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1194401"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1194401"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1194401"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=1194401"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=1194401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}