{"id":994098,"date":"2023-12-22T09:00:00","date_gmt":"2023-12-22T17:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=994098"},"modified":"2023-12-22T06:19:56","modified_gmt":"2023-12-22T14:19:56","slug":"research-at-microsoft-2023-a-year-of-groundbreaking-ai-advances-and-discoveries","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/research-at-microsoft-2023-a-year-of-groundbreaking-ai-advances-and-discoveries\/","title":{"rendered":"Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1400\" height=\"788\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1.png\" alt=\"\"2023 Microsoft Research Year In Review\" in white text on a blue, green, and purple abstract gradient background\" class=\"wp-image-994224\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1.png 1400w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1280x720.png 1280w\" sizes=\"(max-width: 1400px) 100vw, 1400px\" \/><\/figure>\n\n\n<aside id=accordion-eb568f47-2fe0-4723-93e8-798302b5e26d class=\"msr-table-of-contents-block accordion mb-5 pb-0\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse bg-gray-100 mb-0 display-flex justify-content-between\" type=\"button\" data-mount=\"collapse\" data-target=\"#accordion-collapse-eb568f47-2fe0-4723-93e8-798302b5e26d\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-eb568f47-2fe0-4723-93e8-798302b5e26d\">\n\t\t<span class=\"msr-table-of-contents-block__label subtitle\">In this article<\/span>\n\t\t<span class=\"msr-table-of-contents-block__current mr-4 text-gray-600 font-weight-normal\" aria-hidden=\"true\"><\/span>\n\t<\/button>\n\t<div id=\"accordion-collapse-eb568f47-2fe0-4723-93e8-798302b5e26d\" class=\"msr-table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-eb568f47-2fe0-4723-93e8-798302b5e26d\">\n\t\t<div class=\"accordion-body bg-gray-100 border-top pt-4\">\n\t\t\t<ol class=\"msr-table-of-contents-block__list\">\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#strengthening-the-foundations-of-ai\" class=\"msr-table-of-contents-block__list-item-link\">Strengthening the foundations of AI<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#accelerating-scientific-exploration-and-discovery\" class=\"msr-table-of-contents-block__list-item-link\">Accelerating scientific exploration and discovery<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#maximizing-the-individual-and-societal-benefits-of-ai\" class=\"msr-table-of-contents-block__list-item-link\">Maximizing the individual and societal benefits of AI<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#beyond-ai-leading-technology-innovation\" class=\"msr-table-of-contents-block__list-item-link\">Beyond AI: Leading technology innovation<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#collaborating-across-academia-industries-and-disciplines\" class=\"msr-table-of-contents-block__list-item-link\">Collaborating across academia, industries, and disciplines<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#engaging-and-supporting-the-larger-research-community\" class=\"msr-table-of-contents-block__list-item-link\">Engaging and supporting the larger research community<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#listeners-choice-notable-podcasts-for-2023\" class=\"msr-table-of-contents-block__list-item-link\">Listeners\u2019 choice: Notable podcasts for 2023<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#thank-you-for-reading\" class=\"msr-table-of-contents-block__list-item-link\">Thank you for reading<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<\/ul>\n\t\t<\/div>\n\t<\/div>\n\t<span class=\"msr-table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<p>It isn\u2019t often that researchers at the cutting edge of technology see something that blows their minds. But that\u2019s exactly what happened in 2023, when AI experts began interacting with GPT-4, a large language model (LLM) created by researchers at OpenAI that was trained at unprecedented scale.&nbsp;<\/p>\n\n\n\n<p>\u201cI saw some mind-blowing capabilities that I thought I wouldn\u2019t see for many years,\u201d said Ece Kamar, partner research manager at Microsoft, during a <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-models-and-systems-with-ece-kamar\/\">podcast<\/a> recorded in April.<\/p>\n\n\n\n<p>Throughout the year, rapid advances in AI came to dominate the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.thisamericanlife.org\/803\/greetings-people-of-earth\" target=\"_blank\" rel=\"noreferrer noopener\">public conversation<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, as technology leaders and eventually the general public voiced a mix of wonder and skepticism after experimenting with GPT-4 and related applications. Could we be seeing <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sparks-of-artificial-general-intelligence-early-experiments-with-gpt-4\/\">sparks of artificial general intelligence<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u2014informally defined as AI systems that \u201c<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/arxiv.org\/pdf\/2303.12712.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">demonstrate broad capabilities of intelligence, including reasoning, planning, and the ability to learn from experience<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u201d?&nbsp;<\/p>\n\n\n\n<p>While the answer to that question isn\u2019t yet clear, we have certainly entered the era of AI, and it\u2019s bringing profound changes to the way we work and live. In 2023, AI emerged from the lab and delivered everyday innovations that anyone can use. Millions of people now engage with AI-based services like ChatGPT. <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/news.microsoft.com\/source\/features\/ai\/microsoft-outlines-framework-for-building-ai-apps-and-copilots-expands-ai-plugin-ecosystem\/\" target=\"_blank\" rel=\"noreferrer noopener\">Copilots<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u2014AI that helps with complex tasks ranging from search to security\u2014are being woven into business software and services.<\/p>\n\n\n\n<p>Underpinning all of this innovation is years of research, including the work of hundreds of world-class researchers at Microsoft, aided by scientists, engineers, and experts across many related fields. In 2023, AI\u2019s transition from research to reality began to accelerate, creating more tangible results than ever before. This post looks back at the progress of the past year, highlighting a sampling of the research and strategies that will support even greater progress in 2024.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"strengthening-the-foundations-of-ai\">Strengthening the foundations of AI<\/h2>\n\n\n\n<p>AI with positive societal impact is the sum of several integral moving parts, including the AI models, the application of these models, and the infrastructure and standards supporting their development and the development of the larger systems they underpin. Microsoft is redefining the state of the art across these areas with improvements to model efficiency, performance, and capability; the introduction of new frameworks and prompting strategies that increase the usability of models; and best practices that contribute to sustainable and responsible AI.\u202f<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"advancing-models\">Advancing models&nbsp;<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Researchers introduced <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/retentive-network-a-successor-to-transformer-for-large-language-models\/\">Retentive Networks<\/a> (RetNet), an alternative to the dominant transformer architecture in language modeling. RetNet supports training parallelism and strong performance while making significant gains in inference efficiency.&nbsp;<\/li>\n\n\n\n<li>To contribute to more computationally efficient and sustainable language models, researchers presented a 1-bit transformer architecture called <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/bitnet-scaling-1-bit-transformers-for-large-language-models\/\">BitNet<\/a>.<\/li>\n\n\n\n<li>Microsoft expanded its Phi family of small language models with the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/phi-2-the-surprising-power-of-small-language-models\/\">2.7 billion-parameter Phi-2<\/a>, which raises the bar in reasoning and language understanding among base models with up to 13 billion parameters. Phi-2 also met or exceeded the performance of models 25 times its size on complex benchmarks.<\/li>\n\n\n\n<li>The release of the language models <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4\/\">Orca<\/a> (13 billion parameters) and, several months later, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/orca-2-teaching-small-language-models-how-to-reason\/\">Orca 2<\/a> (7 billion and 13 billion parameters) demonstrates how improved training methods, such as synthetic data creation, can elevate small model reasoning to a level on par with larger models.<\/li>\n\n\n\n<li>For AI experiences that more closely reflect how people create across mediums, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/breaking-cross-modal-boundaries-in-multimodal-ai-introducing-codi-composable-diffusion-for-any-to-any-generation\/\">Composable Diffusion<\/a> (CoDi) takes as input a mix of modalities, such as text, audio, and image, and produces multimodal output, such as video with synchronized audio.<\/li>\n\n\n\n<li>To better model human reasoning and speed up response time, the new approach <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/skeleton-of-thought-parallel-decoding-speeds-up-and-improves-llm-output\/\">Skeleton-of-Thought<\/a> has LLMs break tasks down into two parts\u2014creating an outline of a response and providing details on each point in parallel.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"advancing-methods-for-model-usage\">Advancing methods for model usage<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/autogen-enabling-next-generation-large-language-model-applications\/\">AutoGen<\/a> is an open-source framework for simplifying the orchestration, optimization, and automation of LLM workflows to enable and streamline the creation of LLM-based applications.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/the-power-of-prompting\/\">Medprompt<\/a>, a composition of prompting strategies, demonstrates that with thoughtful and advanced prompting alone, general foundation models can <em>outperform<\/em> specialized models, offering a more efficient and accessible alternative to fine-tuning on expert-curated data.<\/li>\n\n\n\n<li>The resource collection <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/steering-at-the-frontier-extending-the-power-of-prompting\/\">promptbase<\/a> offers prompting techniques and tools designed to help optimize foundation model performance, including Medprompt, which has been extended for application outside of medicine.<\/li>\n\n\n\n<li>Aimed at addressing issues associated with lengthy inputs, such as increased response latency, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/llmlingua-innovating-llm-efficiency-with-prompt-compression\/\">LLMLingua<\/a> is a prompt-compression method that leverages small language models to remove unnecessary tokens.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"developing-and-sharing-best-practices\">Developing and sharing best practices\u202f<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Microsoft announced the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.opencompute.org\/documents\/ocp-microscaling-formats-mx-v1-0-spec-final-pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Microscaling (MX) Alliance<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> with several industry partners and unveiled the industry\u2019s first open data format aimed at enabling sub-8-bit training and inference for AI models, helping to pave the way for more efficient and scalable deep learning.<\/li>\n\n\n\n<li>Continuing to advance the responsible development of AI in its own practices and industrywide, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blogs.microsoft.com\/on-the-issues\/2023\/07\/21\/commitment-safe-secure-ai\/\">Microsoft supported the White House\u2019s voluntary AI commitments<\/a>. Meanwhile, members across the company\u2019s research community continued to carefully <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/frontiers-of-multimodal-learning-a-responsible-ai-approach\/\">examine model capabilities and limitations and study the identification, measurement, and mitigation of AI harms<\/a>, including in the area of multimodal AI. They also prioritized transparency as a cornerstone of responsible, human-centered AI, including through <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-october-23-2023\/\">co-auditing tools<\/a> for assessing the accuracy of AI-generated content.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"accelerating-scientific-exploration-and-discovery\">Accelerating scientific exploration and discovery<\/h2>\n\n\n\n<p>Microsoft uses AI and other advanced technologies to accelerate and transform scientific discovery, empowering researchers worldwide with leading-edge tools. Across global Microsoft research labs, experts in machine learning, quantum physics, molecular biology, and many other disciplines are tackling pressing challenges in the natural and life sciences.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Because of the complexities arising from multiple variables and the inherently chaotic nature of weather, Microsoft is using machine learning to enhance the accuracy of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/improving-subseasonal-forecasting-with-machine-learning\/\">subseasonal for<\/a><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/improving-subseasonal-forecasting-with-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">ecasts<\/a>.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/distributional-graphormer-toward-equilibrium-distribution-prediction-for-molecular-systems\/\">Distributional Graphormer<\/a> (DIG) is a deep learning framework for predicting protein structures with greater accuracy, a fundamental problem in molecular science. This advance could help deliver breakthroughs in critical research areas like materials science and drug discovery.<\/li>\n\n\n\n<li>Leveraging evolutionary-scale protein data, the general-purpose diffusion framework <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-september-13-2023\/\">EvoDiff<\/a> helps design novel proteins more efficiently, which can aid in the development of industrial enzymes, including for therapeutics.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mofdiff-coarse-grained-diffusion-for-metal-organic-framework-design\/\">MOFDiff<\/a>, a coarse-grained diffusion model, helps scientists refine the design of new metal-organic frameworks (MOFs) for the low-cost removal of carbon dioxide from air and other dilute gas streams. This innovation could play a vital role in slowing climate change.<\/li>\n\n\n\n<li>This episode of the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-renewable-energy-storage-with-bichlien-nguyen-and-david-kwabi\/\">Microsoft Research Podcast series <em>Collaborators<\/em><\/a> explores research into renewable energy storage systems, specifically flow batteries, and discusses how machine learning can help to identify compounds ideal for storing waterpower and advancing carbon capture.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/mattergen-property-guided-materials-design\/\">MatterGen<\/a> is a diffusion model specifically designed to address the central challenge in materials science by efficiently generating novel, stable materials with desired properties, such as high conductivity for lithium-ion batteries.<\/li>\n\n\n\n<li>Deep learning is poised to revolutionize the natural sciences, enhancing modeling and prediction of natural occurrences, ushering in a new era of scientific exploration, and leading to significant advances in sectors ranging from drug development to renewable energy. <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/announcing-the-deepspeed4science-initiative-enabling-large-scale-scientific-discovery-through-sophisticated-ai-system-technologies\/\">DeepSpeed4Science<\/a>, a new Microsoft initiative, aims to build unique capabilities through AI system technology innovations to help domain experts unlock today\u2019s biggest science mysteries.&nbsp;<\/li>\n\n\n\n<li>Christopher Bishop, Microsoft technical fellow and director of the AI4Science team, recently published <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.bishopbook.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Deep Learning: Foundations and Concepts<\/a>, a book that \u201coffers a comprehensive introduction to the ideas that underpin deep learning.\u201d Bishop discussed <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-a-deep-dive-into-deep-learning-with-ashley-llorens-and-chris-bishop\/\">the motivation and process behind the book, as well as deep learning\u2019s impact on the natural sciences<\/a>, in the <em>AI Frontiers<\/em> podcast series.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"maximizing-the-individual-and-societal-benefits-of-ai\">Maximizing the individual and societal benefits of AI<\/h2>\n\n\n\n<p>As AI models grow in capability so, too, do opportunities to empower people to achieve more, as demonstrated by Microsoft work in such domains as health and education this year. The company\u2019s commitment to positive human impact requires that AI technology be equitable and accessible.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Peter Lee, corporate vice president of Research and Incubations at Microsoft, explored <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-ai-for-health-and-the-future-of-research-with-peter-lee\/\">the potential of LLMs and the systems they drive to impact healthcare<\/a> in ways that haven\u2019t been possible for previous AI advancements. He and coauthors examine GPT-4 in the book <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.informit.com\/store\/ai-revolution-in-medicine-gpt-4-and-beyond-9780138200138\" target=\"_blank\" rel=\"noreferrer noopener\">The AI Revolution in Medicine: GPT-4 and Beyon<\/a><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/benefits-limits-and-risks-of-gpt-4-as-an-ai-chatbot-for-medicine\/\">d<\/a> and in the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/benefits-limits-and-risks-of-gpt-4-as-an-ai-chatbot-for-medicine\/\">New England Journal of Medicine \u201cAI in Medicine\u201d special report<\/a>.<\/li>\n\n\n\n<li>Researchers continued to advance AI\u2019s application in radiology, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/gpt-4s-potential-in-shaping-the-future-of-radiology\/\">testing the boundaries of GPT-4 in the field<\/a>. They also introduced a <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/accounting-for-past-imaging-studies-enhancing-radiology-ai-and-reporting\/\">vision-language pretraining framework enabling alignment between text and multiple radiology images<\/a> and a <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/maira-1-a-specialised-large-multimodal-model-for-radiology-report-generation\/\">multimodal model for generating radiological reports<\/a>.<\/li>\n\n\n\n<li>Microsoft efforts in the radiology space are already supporting real-world results, with its <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-project-innereye-with-javier-alvarez-and-raj-jena\/\">research contributing to an AI system developed by a UK hospital<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> that is <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/news.microsoft.com\/en-gb\/2023\/06\/27\/ai-helping-shrink-waiting-times-nhs-cancer-patients\/\">helping cancer patients begin treatment more quickly<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/li>\n\n\n\n<li>Researchers showed that <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/exploring-llms-potential-to-help-facilitators-enhance-online-healthcare-communities\/\">LLM-enabled copilots can help facilitators of peer support chat groups consisting of patients and providers<\/a> draft educational content for members, track long discussions with message summarization, and identify misinformation or harmful advice, strengthening online health communities as a source of information and support.<\/li>\n\n\n\n<li>A pilot program for the research project <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/teachers-in-india-help-microsoft-research-design-ai-tool-for-creating-great-classroom-content\/\">Shiksha copilot, an AI-powered digital assistant<\/a>, is helping teachers in India create comprehensive, age-appropriate lesson plans significantly faster, opening up time for more student mentoring and professional development.<\/li>\n\n\n\n<li>Shiksha copilot is part of a larger effort, called <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-vellm\/\">Project VeLLM<\/a>, to help people of all languages and cultures take advantage of the benefits offered by LLMs, including through improving models on non-English languages. Corporate Vice President and Managing Director of Microsoft Research India <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-ai-in-india-and-beyond-with-sriram-rajamani\/\">Sriram Rajamani talked about the project and other work in the lab\u2019s technology and empowerment focus area<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"beyond-ai-leading-technology-innovation\">Beyond AI: Leading technology innovation<\/h2>\n\n\n\n<p>While AI rightly garners much attention in the current research landscape, researchers at Microsoft are still making plenty of progress across a spectrum of technical focus areas.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/project-silica-sustainable-cloud-archival-storage-in-glass\/\">Project Silica<\/a>, a cloud-based storage system underpinned by quartz glass, is designed to provide sustainable and durable archival storage that\u2019s theoretically capable of lasting thousands of years.<\/li>\n\n\n\n<li>Project <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/unlocking-the-future-of-computing-the-analog-iterative-machines-lightning-fast-approach-to-optimization\/\">Analog Iterative Machine<\/a> (AIM) aims to solve difficult optimization problems\u2014crucial across industries such as finance, logistics, transportation, energy, healthcare, and manufacturing\u2014in a timely, energy-efficient, and cost-effective manner. Its designers believe Project AIM could outperform even the most powerful digital computers.<\/li>\n\n\n\n<li>Microsoft researchers proved that <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/3d-telemedicine-brings-better-care-to-underserved-and-rural-communities-even-across-continents\/\">3D telemedicine<\/a> (3DTM), using <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/holoportation-3\/\">Holoportation<sup>TM<\/sup><\/a> communication technology, could help improve healthcare delivery, even across continents, in a unique collaboration with doctors and governments in Scotland and Ghana.<\/li>\n\n\n\n<li>In another collaboration that aims to help improve precision medicine, Microsoft worked with industry and academic colleagues to release <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/biomedical-research-platform-terra-now-available-on-microsoft-azure\/\">Terra<\/a>, a secure, centralized, cloud-based platform for biomedical research on Microsoft Azure.<\/li>\n\n\n\n<li>On the hardware front, Microsoft researchers are exploring <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/thinking-beyond-audio-augmenting-headphones-for-everyday-digital-interactions\/\">sensor-enhanced headphones<\/a>, outfitting them with controls that use head orientation and hand gestures to enable context-aware privacy, gestural audio-visual control, and animated avatars derived from natural body language.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"collaborating-across-academia-industries-and-disciplines\">Collaborating across academia, industries, and disciplines<\/h2>\n\n\n\n<p>Cross-company and cross-disciplinary collaboration has always played an important role in research and even more so as AI continues to rapidly advance. <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-models-and-systems-with-ece-kamar\/\">Large models driving the progress are components of larger systems that will deliver the value of AI to people<\/a>. Developing these systems and the frameworks for determining their roles in people\u2019s lives and society requires the knowledge and experience of those who understand the context in which they\u2019ll operate\u2014domain experts, academics, the individuals using these systems, and others.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The research project <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/understanding-personalized-accessibility-through-teachable-ai-designing-and-evaluating-find-my-things-for-people-who-are-blind-or-low-vision\/\">Find My Things<\/a>, an application to help people who are blind or low vision find personal items, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-teachable-ai-with-cecily-morrison-and-karolina-pakenaite\/\">brought together researchers and citizen designers<\/a> to demonstrate how AI experiences can be personalized to suit people\u2019s individual needs, an approach referred to as <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/taix\/overview\/\">Teachable AI<\/a>.<\/li>\n\n\n\n<li>Product, research, and incubation teams at Microsoft continued working together to make tools for the responsible development of AI available to customers and the open-source community, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/responsible-ai-the-research-collaboration-behind-new-open-source-tools-offered-by-microsoft\/\">adding the Responsible AI Mitigations Library and the Responsible AI Tracker to the company\u2019s Responsible AI Toolbox in February<\/a>.<\/li>\n\n\n\n<li>Researchers at Microsoft collaborated with researchers within the psychology subfield of psychometrics to explore <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-december-6-2023\/\">how the science of psychological measurement can help evaluate model performance<\/a> as AI models become more general purpose.<\/li>\n\n\n\n<li>Responsible AI researchers and applied scientists <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-measuring-and-mitigating-harms-with-hanna-wallach\/\">expanded a framework they had been working on for measuring fairness-related harms<\/a> in AI systems to accommodate novel scenarios presented by the incorporation of GPT-4 into Bing.<\/li>\n\n\n\n<li>Researchers presented <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-november-20-2023\/\">a framework for thinking about the impact of generative AI on how people communicate<\/a> and a collection of strategies for meeting challenges.&nbsp;<\/li>\n\n\n\n<li>Microsoft Research established the&nbsp;<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/accelerate-foundation-models-research-supporting-a-global-academic-research-ecosystem-for-ai\/\">Accelerate Foundation Models Research (AFMR) global network and resource platform<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>&nbsp;to assemble an interdisciplinary research community around solving some of today\u2019s greatest technical and societal challenges through aligning AI with shared human goals, values, and preferences; improving human-AI interactions; and accelerating scientific discoveries.&nbsp;In line with Microsoft support of the White House\u2019s responsible AI voluntary commitments, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/collaboration\/accelerating-foundation-models-research\/overview\/\">AFMR<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> grants provide access to state-of-the-art foundation models to&nbsp;make sure <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/blogs.microsoft.com\/wp-content\/uploads\/prod\/sites\/5\/2023\/07\/Microsoft-Voluntary-Commitments-July-21-2023.pdf\">researchers outside the company can appropriately examine cutting-edge model applications<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and their impact. To date, access to leading foundation models has been extended to more than 190 principal investigators from over 100 institutions from around the world.&nbsp;<\/li>\n\n\n\n<li>The <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/ai-society-fellows\/overview\/\">Microsoft Research AI & Society fellows program<\/a> was created to bring together scholars and leading experts from across the arts and sciences to tackle the challenges and opportunities at the intersection of AI and society\u2014from copyright protection in the era of LLMs to reducing digital divides in the Global South. The program received nearly 3,000 proposals across its 13 challenges during its inaugural call this fall, and selected fellows will be announced in January 2024.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"engaging-and-supporting-the-larger-research-community\">Engaging and supporting the larger research community<\/h2>\n\n\n\n<p>Throughout the year, Microsoft continued to engage with the broader research community on AI and beyond. The company\u2019s sponsorship of and participation in key conferences not only showcased its dedication to the application of AI in diverse technological domains but also underscored its unwavering support for cutting-edge advancements and collaborative community involvement.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"functional-programming\">Functional programming<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Microsoft was a proud sponsor of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/icfp-2023\/\">ICFP 2023<\/a>, with research contributions covering a range of functional programming topics, including <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/fp2-fully-in-place-functional-programming-provides-memory-reuse-for-pure-functional-programs\/\">memory optimization<\/a>, language design, and software-development techniques.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"human-computer-interaction\">Human-computer interaction<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>At <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/highlights-from-chi-2023\/\">CHI 2023<\/a>, Microsoft researchers and their collaborators demonstrated the myriad and diverse ways people use computing today and will in the future.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"large-language-models-and-ml\">Large language models and ML<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Microsoft was a sponsor of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/acl-2023\/\">ACL 2023<\/a>, showcasing papers ranging from fairness in language models to natural language generation and beyond.<\/li>\n\n\n\n<li>Microsoft also sponsored <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/neurips-2023\/\">NeurIPS 2023<\/a>, publishing over 100 papers and conducting workshops on language models, deep learning techniques, and additional concepts, methods, and applications addressing pressing issues in the field.<\/li>\n\n\n\n<li>With its sponsorship of and contribution to <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-at-icml-2023-discoveries-and-advancements-in-machine-learning\/\">ICML 2023<\/a>, Microsoft showcased its investment in advancing the field of machine learning.<\/li>\n\n\n\n<li>Microsoft sponsored <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ml4h.cc\/2023\/\" target=\"_blank\" rel=\"noreferrer noopener\">ML4H<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and participated in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/exploring-llms-potential-to-help-facilitators-enhance-online-healthcare-communities\/\">AfriCHI<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/2023.emnlp.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">EMNLP<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, a leading conference in natural language processing and AI, highlighting its commitment to exploring how LLMs can be applied to healthcare and other vital domains.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"systems-and-advanced-networking\">Systems and advanced networking<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Microsoft research contributions at <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/sosp-2023\/\">SOSP 2023<\/a>, a conference it sponsored, ranged from operating systems and cloud computing to mobile and edge systems.<\/li>\n\n\n\n<li>As a sponsor of <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.usenix.org\/conference\/nsdi23\" target=\"_blank\" rel=\"noreferrer noopener\">USENIX NDSI 2023<\/a>, Microsoft reinforced its <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-at-nsdi-2023-a-commitment-to-advancing-networking-and-distributed-systems\/\">commitment to advancing networking and distributed systems<\/a>, with accepted papers covering such diverse topics as AI workload networking, cloud, WAN, and wireless networks, displaying cutting-edge advancements in networking research.<\/li>\n\n\n\n<li>Microsoft was a strong participant at <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/2023.eurosys.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">EuroSys 2023<\/a>, Europe\u2019s premier systems conference, highlighting developments in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-at-eurosys-2023-systems-innovation-across-the-stack-to-help-support-an-easier-faster-safer-and-smarter-cloud\/\">systems innovation across the stack to help support an easier, faster, safer, and smarter cloud<\/a>.<\/li>\n\n\n\n<li>As a sponsor of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/sigcomm-2023\/\">SIGCOMM 2023<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-at-acm-sigcomm-2023-innovating-the-future-of-networking\/\">Microsoft shared its innovations<\/a> on the foundational network infrastructure that underpins the cloud ecosystem.<\/li>\n\n\n\n<li>From contributions to generative models and network pretraining to sign language understanding and neural video codecs, the company\u2019s participation in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-at-cvpr-2023-pushing-the-boundaries-of-computer-vision\/\">CVPR 2023<\/a> underscores its commitment to evolving the capabilities of systems to analyze and extract valuable insights from visual data.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"listeners-choice-notable-podcasts-for-2023\">Listeners\u2019 choice: Notable podcasts for 2023<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-the-future-of-causal-reasoning-with-emre-kiciman-and-amit-sharma\/\">AI Frontiers: The future of causal reasoning with Emre Kiciman and Amit Sharma<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-ai-for-health-and-the-future-of-research-with-peter-lee\/\">AI Frontiers: AI for health and the future of research with Peter Lee<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-models-and-systems-with-ece-kamar\/\">AI Frontiers: Models and Systems with Ece Kamar<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-ai-in-india-and-beyond-with-sriram-rajamani\/\">AI Frontiers: AI in India and beyond with Sriram Rajamani<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-the-physics-of-ai-with-sebastien-bubeck\/\">AI Frontiers: The Physics of AI with S\u00e9bastien Bubeck<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-measuring-and-mitigating-harms-with-hanna-wallach\/\">AI Frontiers: Measuring and mitigating harms with Hanna Wallach<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/ai-frontiers-the-future-of-scale-with-ahmed-awadallah-and-ashley-llorens\/\">AI Frontiers: The future of scale with Ahmed Awadallah and Ashley Llorens<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-gov4git-with-kasia-sitkiewicz-and-petar-maymounkov\/\">Collaborators: Gov4git with Petar Maymounkov and Kasia Sitkiewicz<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-gaming-ai-with-haiyan-zhang\/\">Collaborators: Gaming AI with Haiyan Zhang<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-renewable-energy-storage-with-bichlien-nguyen-and-david-kwabi\/\">Collaborators: Renewable energy storage with Bichlien Nguyen and David Kwabi<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-data-driven-decision-making-with-jina-suh-and-shamsi-iqbal\/\">Collaborators: Data-driven decision-making with Jina Suh and Shamsi Iqbal<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-holoportation-communication-technology-with-spencer-fowers-and-kwame-darko\/\">Collaborators: Holoportation\u2122 communication technology with Spencer Fowers and Kwame Darko<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/collaborators-project-innereye-with-javier-alvarez-and-raj-jena\/\">Collaborators: Project InnerEye with Javier Alvarez and Raj Jena<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/whats-your-story-ranveer-chandra\/\">What\u2019s Your Story: Ranveer Chandra<\/a>&nbsp;<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/abstracts-september-13-2023\/\">Abstracts: September 13, 2023, EvoDiff<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"thank-you-for-reading\">Thank you for reading<\/h2>\n\n\n\n<p>Microsoft achieved extraordinary milestones in 2023 and will continue pushing the boundaries of innovation to help shape a future where technology serves humanity in remarkable ways. To stay abreast of the latest updates, subscribe to the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/info.microsoft.com\/ww-landing-microsoft-research-newsletter.html?wt.mc_id=S-webpage_msr-homepage\">Microsoft Research Newsletter<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> and the <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/\">Microsoft Research Podcast<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. You can also follow us on\u202f<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.facebook.com\/microsoftresearch\/\" target=\"_blank\" rel=\"noreferrer noopener\">Facebook<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>,\u202f<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.instagram.com\/msft_research\/\" target=\"_blank\" rel=\"noreferrer noopener\">Instagram<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>,\u202f<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.linkedin.com\/showcase\/microsoftresearch\/\" target=\"_blank\" rel=\"noreferrer noopener\">LinkedIn<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>,\u202f<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/x.com\/MSFTResearch\" target=\"_blank\" rel=\"noreferrer noopener\">X<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, and\u202f<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.youtube.com\/user\/MicrosoftResearch\" target=\"_blank\" rel=\"noreferrer noopener\">YouTube<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.\u202f<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Writers, Editors, and Producers<\/strong><br>Kristina Dodge<br>Kate Forster<br>Jessica Gartner<br>Alyssa Hughes<br>Gretchen Huizinga<br>Brenda Potts<br>Chris Stetkiewicz<br>Larry West<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Managing Editor<\/strong><br>Amber Tingle<\/p>\n\n\n\n<p><strong>Project Manager<\/strong><br>Amanda Melfi<\/p>\n\n\n\n<p><strong>Microsoft Research Global Design Lead<\/strong><br>Neeltje Berger<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Graphic Designers<\/strong><br>Adam Blythe<br>Harley Weber<\/p>\n\n\n\n<p><strong>Microsoft Research Creative Studio Lead<\/strong><br>Matt Corwine<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.<\/p>\n","protected":false},"author":42183,"featured_media":994224,"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":"","footnotes":""},"categories":[1],"tags":[],"research-area":[13556,243062,13562,198583,13545,13554,13553,13560,13559,13547,13568],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243984],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-994098","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-blog","msr-research-area-artificial-intelligence","msr-research-area-audio-acoustics","msr-research-area-computer-vision","msr-research-area-ecology-environment","msr-research-area-human-language-technologies","msr-research-area-human-computer-interaction","msr-research-area-medical-health-genomics","msr-research-area-programming-languages-software-engineering","msr-research-area-social-sciences","msr-research-area-systems-and-networking","msr-research-area-technology-for-emerging-markets","msr-locale-en_us","msr-post-option-blog-homepage-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":[957939],"related-groups":[],"related-projects":[1064820,978063,983295,973047,971055,950052,925446,917364,937905,867189,855669,855153,830104,788837,765649,483294,717493,698833,740356,678390,644109,295553,511097,608757,389792,433749,241727,356795,169659],"related-events":[968280,958641,958362,958992,945648,951072],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-960x540.png\" class=\"img-object-cover\" alt=\"&quot;2023 Microsoft Research Year In Review&quot; in white text on a blue, green, and purple abstract gradient background\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/12\/2023_Year-In-Review-BlogHeroFeature-1400x788-1.png 1400w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>","byline":"","formattedDate":"December 22, 2023","formattedExcerpt":"AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. 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