yxc0433
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2026-07-11
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6 min
US-China Trade
China consumer price growth weakens in June, producer inflation quickens
China consumer price growth weakens in June, producer inflation quickens
China的 consumer prices grew slower than expected in June, while wholesale inflation accelerated, as elevated energy costs continued to sap domestic d...
China's consumer prices grew slower than expected in June, while wholesale inflation accelerated, as elevated energy costs continued to sap domestic d...
01
Emanuele Quinto, Carlo Andrea Rozzi, Francesco Zanitti
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2026-07-11
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10 min
AI
工作流作为知识: 以 LLM 为中介的工作流的语义持久性
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
大型语言模型 (LLM) 应用程序越来越多地使用显式工作流程来进行工具使用, 检索, 分支, 检查点, 和人工审批。埃西...
Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, checkpointing, and human approval. Exi...
02
Siddharth Damodharan, Radhika Gupta, Ali Alshami, Ryan Rabinowitz, Jugal Kalita
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2026-07-11
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3 min
AI
AUTOPILOT VQA: 对以事件为中心的行车记录仪理解的视觉语言模型进行基准测试
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
视觉语言模型,大型语言模型,和多模态大型语言模型的最新进展改善了自动驾驶任务,例如......
Recent advances in Vision-Language Models, Large Language Models, and Multimodal Large Language Models have improved autonomous driving tasks such as ...
03
Kristina Schaaff, Quintus Stierstorfer, Valerie Hekkel
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2026-07-11
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9 min
AI
在高等教育中使用基于人工智能的学习助手: 大规模描述性分析
Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
在这项研究,中,我们对基于人工智能的学习助手(Syntea)在高等教育中的使用进行了大规模的描述性分析。基于对象...
In this study, we present a large-scale descriptive analysis of the use of an AI-based learning assistant (Syntea) in higher education. Based on objec...
04
Yifan Zhou, Qihao Yang, Yan Li, Donggang Li, Xiru Hu, Hokin Deng, Ziyang Gong, Xuanyi Zhou, Huacan Wang, Xiangchao Yan, Wanghan Xu, Wenlong Zhang, Shaofeng Zhang, Yue Zhou, Yifan Yang, Zhihang Zhong, Xue Yang
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2026-07-11
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3 min
AI
想法有基因组: 基准科学谱系推理和基于谱系的想法生成
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
科学思想很少是从白纸开始的。他们继承了机制, 修复已知的局限性, 并重新组合早期工作, 的各个部分,就像双...
Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pieces of earlier work, much like bi...
05
yxc0433
·
2026-07-10
·
8 min
US-China Trade
Temasek的 China exposure jumps most in five years on AI, tech pivot
Temasek's China exposure jumps most in five years on AI, tech pivot
淡马锡控股上一财年增加了100亿新元的中国投资($77亿)—这是五年来最大的年度增幅...
Temasek Holdings increased its China exposure by 10 billion Singapore dollars ($7.7 billion) last fiscal year — the biggest annual increase in five ye...
06
yxc0433
·
2026-07-10
·
10 min
US-China Trade
China warns about AI risks with Anthropic的 Claude Code
China warns about AI risks with Anthropic's Claude Code
BEIJING — China on Wednesday warned of "back-door" security risks affecting companies that use U.S.-based company Anthropic的 Claude Code artificial i...
BEIJING — China on Wednesday warned of "back-door" security risks affecting companies that use U.S.-based company Anthropic's Claude Code artificial i...
07
Yujiao Chen
·
2026-07-10
·
10 min
AI
机构红队: 部署规则, 不仅仅是模型, 因果塑造多代理人工智能安全
Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety
我们引入机构红队,一种用于测试多智能体AI中的部署规则的评估方法:持有代理,目标,和任务...
We introduce institutional red-teaming, an evaluation methodology for testing deployment rules in multi-agent AI: hold the agents, objectives, and tas...
08
Rachel Gordon | MIT CSAIL
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2026-07-10
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9 min
AI
微型机器人船建造浮动结构
Tiny robot boats build floating structures
大多数人认为海滨是城市的边缘。麻省理工学院的一组研究人员将其视为一个充满活力的, 乐高式建筑工地。他们的新系统...
Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site. Their new sy...
09
Anna Córdoba, Adam Puente Tercero, Nerea Angulo Hijo, Mar Linares Tercero, Julia Barrientos, Ainhoa Miranda, Jesús Olivera
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2026-07-09
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9 min
AI
FreqDepthKV: 频率引导深度共享,用于长上下文 LLM 推理中的鲁棒 KV 缓存压缩
FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference
长上下文 LLM 推理越来越受到 KV 缓存, 的内存和带宽成本的限制,但积极的压缩可以消除层规范...
Long-context LLM inference is increasingly limited by the memory and bandwidth cost of KV caches, yet aggressive compression can remove the layer-spec...
10