The emergence of large language models (LLMs) has revolutionized the way people create text and interact with computing. However, these models are limited in ensuring the accuracy of the content they generate and enforcing strict compliance with specific formats, such as JSON and other computer…
Research Focus: New Research Forum series explores bold ideas in the era of AI; LASER improves reasoning in language models; Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets; Six Microsoft researchers named 2023 ACM Fellows.
Microsoft Research Forum (opens in new tab) is a new series of conversations that explore recent advances, bold new ideas, and important discussions within the global research community. Leading Microsoft researchers will share insights into their work, followed by live online discussions with audience participants.…
Microsoft announces the AFMR Minority Serving Institutions grant recipients, advancing AI research focused on today’s most significant technical and societal challenges. The grant provides funding and access to Azure-hosted foundation models.
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Join Microsoft Research Forum (opens in new tab) for a continuous exchange of ideas about science and technology…
MetaOpt helps analyze, explain, and improve heuristic performance before deployment in production systems. Learn how it works, particularly in traffic engineering, packet scheduling, and VM placement.
The Global Health Drug Discovery Institute and Microsoft Research are using AI to innovate in life sciences by accelerating the development of new treatments for global infectious diseases like tuberculosis and COVID. Find out how.
AI-backed virtual assistants face challenges in handling complex data structures. TaskWeaver helps users build assistants that understand diverse domain questions, follow examples, and efficiently execute customizable algorithms on complex data structures.
Editor’s note: All papers referenced here represent collaborations throughout Microsoft and across academia and industry that include authors who contribute to Aether, the Microsoft internal advisory body for AI ethics and effects in engineering and research. A surge of generative AI models in the past…
Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access:
Expanded LLM use creates new demands on cloud GPU capacity. Splitwise presents an efficient solution by separating the two essential phases of LLM inference, achieving higher throughput within a limited power budget.
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.
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