实习生活动合集：青春沸腾热烈，与你携手奔跑
“Work hard, play harder! ”这是微软亚洲研究院的重要文化，也是实习生们工作和生活的最佳注解。在这里，实习生们不仅在研究员的带领下探索领域前沿，也结识了来自不同高校、不同领域的志同道合的伙伴。这里有笑声不断的节日派对，有挑战自我的 DIY 工作坊，有补充知识的技术充电站，有开拓视野的读书分享会……青春沸腾热烈，我们与你一起书写回忆！ 7 月 27 日 夏日派对 给炎炎夏日加点...
Microsoft at VL/HCC 2023: Focus on co-audit tools for spreadsheets
| Jack Williams, Ian Drosos, and Kasra Ferdowsi
These research papers were presented at the IEEE Symposium on Visual Languages and Human-Centric Computing (opens in new tab) (VL/HCC 2023), a premier forum for design, theory, and application of computing technologies for programming, modelling, and communication. Large language models…
媒体基础：打开多模态大模型的新思路
作者：吕岩 自1956年达特茅斯会议提出“人工智能”一词，人类足足用了近70年的时间，才积累了足够的技术和资源促成人工智能的爆发。而当我们跨过“临界点”，大语言模型（LLMs）在自然语言理解、语音识别、图像生成等方面展现出的一系列巨大进步令人目不暇接。随着 ChatGPT、DALL-E 等应用的出现，我们看到人工智能开始展现出更复杂的能力，比如观察、学习和理解真实世界，并进一步实现推理和创造。 如...
Research Focus: Week of October 9, 2023
Research Focus: Principal researcher Lester Mackey recognized for pioneering statistical and ML techniques; Pareto frontiers in neural feature learning; structural inequality in the influencer industry; new research on cardinality estimation.
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。 本期内容速览 01. AniPortraitGAN：可驱动的真实感3D肖像生成 02. KOSMOS-2.5：阅读文本密集图像的多模态大型语言模型 03. PromptTTS 2：利用文本描述创造语音合成的音...
Abstracts: October 9, 2023
| Gretchen Huizinga and Sheng Zhang
Researcher Dr. Sheng Zhang joins “Abstracts”—your source for cutting-edge research in brief—to discuss a recent paper on distilling large language models into smaller, more efficient ones capable of excelling in broad application classes.
Efficient and hardware-friendly neural architecture search with SpaceEvo
| Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yuqing Yang, Ting Cao, and Mao Yang
A persistent challenge in deep learning is optimizing neural network models for diverse hardware configurations, balancing performance and low latency. Learn how SpaceEvo automates hardware-aware neural architecture search to fine-tune DNN models for swift execution on diverse devices.
HoloAssist: A multimodal dataset for next-gen AI copilots for the physical world
| Xin Wang and Neel Joshi
HoloAssist is a new multimodal dataset consisting of 166 hours of interactive task executions with 222 participants. Discover how it offers invaluable data to advance the capabilities of next-gen AI copilots for real-world tasks.
Intern Insights: Dr. Madeleine Daepp with Jennifer Scurrell and Alejandro Cuevas
| Madeleine Daepp, Alejandro Cuevas, and Jennifer Scurrell
Connecting with researchers, collaborating across disciplines, and exploring a new city—PhD students Jennifer Scurrell and Alejandro Cuevas talk to Senior Researcher Madeleine Daepp about the internship experience at Microsoft Research.