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.
Ronen Eldan (Microsoft Research) and Mark Russinovich (Azure) The Challenge of Unlearning in an AI Era Over the last few months, significant public attention has focused on a wide variety of questions related to the data used to train large…