Engagement, user expertise, and satisfaction: Key insights from the Semantic Telemetry Project
| Amber Hoak, Scott Counts, Kate Lytvynets, David Tittsworth, Siddharth Suri, Nirupama Chandrasekaran, Ben Cutler, and Weiwei Yang
Semantic Telemetry Project data show that people who use AI for more professional and complex tasks are more likely to keep using the tool and to use it more often. Novice AI users engage in simpler tasks, but their usage…
StreamMind：解锁全帧率流媒体视频实时理解新路径
当今基础大模型的能力提升催生了诸多真实世界应用，如智能助手等。这类助手通过智能眼镜等智能设备时刻与用户相伴，持续感知和理解用户所在环境、发生的事件以及用户指令，并据此实时主动地给用户提供帮助。比如导盲助手，在用户要过马路时会输出“稍等现在有车经过”，“现在可以安全通过”等帮助提示。除了依赖大语言模型的世界知识和推理能力，此类智能助手更依赖对持续输入视频流的理解能力，以及可以在相关事件发生时立即发出...
Debug-gym: an environment for AI coding tools to learn how to debug code like programmers
| Eric Yuan, Morgane Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, and Marc-Alexandre Côté
Developers spend a lot of time debugging code. Learn how debug-gym can equip AI agents to help, enabling them to set breakpoints, navigate the codebase, and print runtime variable values on demand, so they better understand the code and its…
In the news | LinkedIn Article
Unlocking AI’s Global Potential: Progress, Productivity, and Workforce Development
Stanford HAI Index highlights transformative developments in artificial intelligence that carry profound implications for societies worldwide—especially in regions across the Global South [1]. As we explore these insights, we recognize that AI is transforming industries, creating new opportunities, and driving economic…
Research Focus: Week of April 7, 2025
In this issue: We introduce a new dataset designed to assist renewable energy infrastructure planners, a new method for denoising MRI imagery, and an AI tool for analyzing distant galaxies. Check out our latest research and other updates.
从能力到效率，多管齐下提升大模型智能体系统的智能“密度”
作者：杨玉庆 大模型的发展已成为推动软件形态巨变的关键因素之一，它正在催生一种全新的软件形态，即目前我们所理解的智能体（AI agent）或智能体系统（agentic system）。 不难想象，智能体系统将会是大模型应用的普遍形式。它的性能表现和使用成本，对于大模型所能惠及的范围具有决定性作用。因此，我们尝试以这样一种思路来优化智能体系统：将其视为一个“数据加工”流程，并尝试在不同环节为工作量做...
MaaG：迈向世界模型，解决生成式游戏中的数值与时空一致性难题
世界模型（world models）是人工智能领域的一个重要概念，旨在通过模拟虚拟世界中主体行为的演变，实现高度逼真的互动体验。这种模型不仅可以为游戏和互动媒体的生成带来革命性的变化，也将为人工智能在复杂环境中的应用提供新的可能性。其中，生成式游戏（generative games）作为构建世界模型的关键途径，备受关注。例如，微软提出的 MUSE 能够用神经网络生成游戏《嗜血边缘（Bleeding...
In the news | NEJM Catalyst
Jim Weinstein discusses health care challenges in U.S. rural areas with NEJM Catalyst
Disparities include limited access to care, rising mortality rates, and severe staffing shortages.
Awards | Ministry of Education, Culture, Sports, Science and Technology - Japan
Yasuyuki Matsushita receives MEXT Minister of Education, Culture, Sports, Science and Technology Award
Recipients have achieved remarkable results in research and development and promotion of understanding of science and technology.