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In the news | Mayo Clinic and Microsoft Research

Mayo Clinic and Microsoft Research to advancing Generative AI in Radiology with Project MAIRA 

January 14, 2024

Jiang Bian
Articles

人工智能≠机器“人”:激活基础模型在产业中的巨大应用潜力和商业价值 

January 12, 2024

作者:边江 随着人工智能大模型(基础模型)的发展,很多企业和机构都对其在生产力场景中的应用表现出极大的热情。不过,我们也观察到这样一个现象:很多产业从业者似乎更关注人工智能接近“人”的一面——像人类一样对话、写作、创作,以及拥有近似于人类的感知能力。比如,很多企业在引入人工智能大模型时,首选场景都倾向于智能客服,对话机器人等“类人”岗位。毫无疑问,这种倾向存在着对大模型理解和应用上的局限,并不能让...

TaskWeaver chat user interface
Microsoft Research Blog

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation 

January 11, 2024 | Shilin He, Liqun Li, Xu Zhang, Bo Qiao, Chaoyun Zhang, Yu Kang, Rujia Wang, Qingwei Lin 林庆维, Saravan Rajmohan, and Dongmei Zhang

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.

Blue green gradient with a lightbulb icon centered. Six icons surround it: (left to right) group of people, eyeball, shaking hands, set of scales, lock, and shield.
Microsoft Research Blog

Advancing transparency: Updates on responsible AI research 

January 10, 2024 | Mihaela Vorvoreanu and Kathy Walker

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…

Research Focus - week of January 8, 2024
Microsoft Research Blog

Research Focus: Week of January 8, 2024 

January 10, 2024 | Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, and Furu Wei

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:

Articles

优化LLM数学推理;深度学习建模基因表达调控;基于深度学习的近实时海洋碳汇估算 

January 4, 2024

编者按:欢迎阅读“科研上新”栏目!“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里,你可以快速浏览研究院的亮点资讯,保持对前沿领域的敏锐嗅觉,同时也能找到先进实用的开源工具。 论文链接:https://arxiv.org/abs/2312.08901 (opens in new tab) 项目链接(将于近日上线):https://github.com/microsoft/CoT-I...

An example of the generative LLM inference process and the two phases associated with it. The initial prompt is “Which is better, pizza or burger?” and it generates the word “Pizza”. The token generation phase generates the words/tokens: “is”, “better”, and “.”. The prompt phase has the following properties: (1) all input tokens are processed in parallel to generate the first output token, (2) compute intensive, and (3) is a smaller part of the end-to-end latency. The token phase is: (1) serialized, (2) memory intensive, and (3) tends to be the majority of the end-to-end latency.
Microsoft Research Blog

Splitwise improves GPU usage by splitting LLM inference phases 

January 4, 2024 | Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Rodrigo Fonseca, and Ricardo Bianchini

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.

In the news | The Sequence

My Five Favorite AI Papers of 2023 

December 31, 2023

Today marks the final issue of 2023, and I want to start by expressing my gratitude for your support. The Sequence has grown organically to over 165,000 subscribers this year. Thank you all for your continued support. Today's edition will…

"2023 Microsoft Research Year In Review" in white text on a blue, green, and purple abstract gradient background
Microsoft Research Blog

Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries 

December 22, 2023

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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