--- 格式版本: 2 标题: "Keysight and University of York advance AI vehicle safety" 原文链接: "https://www.engineering.com/keysight-and-university-of-york-advance-ai-vehicle-safety/" 发布日期: "2026-09-04" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:local:strict_original_body" 发布时间证据: "September 4, 2026" 发布时间校准原因: "标题附近明确标注的发布日期（September 4, 2026），且与当前YAML日期一致，为文章真实发布时间。" 发布时间校准置信度: "1" 发布时间候选数量: 13 发布时间严格候选数量: 3 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-04T20:40:05+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 12756 发现时间: "2026-09-04T20:38:32+08:00" 入库时间: "2026-09-04T12:40:18.198Z" 来源平台: "Engineering.com 搜索" 搜索渠道: "source_template" 搜索词: "https://www.engineering.com/?s=AI%20Rack" 匹配关键词: - "AI Rack" - "AI" - "deployment" 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 23 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线为Keysight与约克大学合作研究AI车辆安全验证方法，聚焦ISO/PAS 8800合规、安全案例和可审计证据，不涉及超节点、AI Rack或机架级AI基础设施；来源为engineering.com一般行业媒体；无超节点相关新技术、标准、量产或部署信号；未命中任何高价值准入通道，按主题不相关否决处理。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-04T20:40:25+08:00" AI主题相关性: 2 AI来源权威性: 8 AI新颖性: 5 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 8 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.89" AI评分知识库SHA256: "ff54e1479f3e5fb41037cb816bc8f6bdc83e7bcfa466d5fcf32f781220de91c7" AI评分知识库检索词: "[\"AI Rack\",\"https://www.engineering.com/?s=AI%20Rack\",\"RAS\",\"NVIDIA\",\"Intel\",\"URL\",\"IT\",\"BIM\",\"PLM/ERP\",\"EDA\",\"www.engineering.com/games/temple-run-2\",\"www.engineering.com/games/2048\"]" AI评分知识库命中: "[{\"id\":\"july-correct-0105\",\"title\":\"Microsoft expands Azure AI and HPC infrastructure with AMD - The Official Microsoft 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Rack\",\"RAS\",\"NVIDIA\",\"URL\",\"IT\",\"EDA\"],\"rank\":-8.425921807407997},{\"id\":\"july-correct-0026\",\"title\":\"The Rackscale AI System Roadmaps That AMD Is Using To Chase Money\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"RAS\",\"NVIDIA\",\"Intel\",\"URL\",\"IT\",\"EDA\"],\"rank\":-7.65533260760489}]" 采集批次: "2026年9月4日19点09分47秒" 采集批次ID: "20260904-190947-e38cdb0b" 去重键: "https://www.engineering.com/keysight-and-university-of-york-advance-ai-vehicle-safety" --- Title: Keysight and University of York advance AI vehicle safety URL Source: https://www.engineering.com/keysight-and-university-of-york-advance-ai-vehicle-safety/ Published Time: 2026-09-04T11:14:10+00:00 Markdown Content: # [![Image 1: Engineering.com logo](https://www.engineering.com/wp-content/uploads/2024/03/engineering-com-logo-1.svg)](https://www.engineering.com/) Continue to Site [Skip to 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[Keysight Technologies, Inc.](https://cts.businesswire.com/ct/CT?id=smartlink&url=http%3A%2F%2Fwww.keysight.com&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Keysight+Technologies%2C+Inc.&index=1&md5=7f8547be8b876ebf014b89b3408915d4) and the[Centre for Assuring Autonomy (CfAA)](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.york.ac.uk%2Fassuring-autonomy%2F&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Centre+for+Assuring+Autonomy+%28CfAA%29&index=2&md5=06c682c8354b33cb7ff80968ad46a9d6)at the University of York (UK) announced a research collaboration to advance the safe deployment of artificial intelligence (AI) in software-defined vehicles (SDVs). The collaboration will focus on developing practical methods for validating AI systems and generating the evidence needed to demonstrate their safety and reliability. The work is designed to enable automakers and suppliers to meet emerging industry requirements while reducing development risk and accelerating the deployment of AI-enabled automotive systems. Artificial intelligence is rapidly becoming a core technology in advanced driver assistance systems (ADAS), automated driving functions, and SDVs. As these capabilities become more sophisticated, automotive organizations face growing pressure to demonstrate that AI systems operate safely, reliably, and as intended, not only during development but throughout the vehicle lifecycle. Providing that proof is one of the industry’s most significant challenges as automakers work to bring increasingly intelligent vehicles to market while meeting evolving regulatory and safety expectations. Together, Keysight and the CfAA will help bridge the gap between AI safety research and practical engineering by advancing methodologies for structured AI safety cases and building justified confidence in the safety of AI-enabled automotive systems. The research will focus on the creation of evidence-driven approaches to support the implementation of ISO/PAS 8800 requirements, exploring measurable safety-scoring methodologies grounded in academic research and industry standards, and creating practical frameworks for generating auditable AI safety evidence. The resulting methodologies are intended to support the process of building AI safety cases, improve confidence in AI validation, and help engineering teams demonstrate justified AI safety more efficiently throughout the product lifecycle. The University of York is internationally recognized for its research in safety engineering, and the assurance of complex systems across domains, including transport and automotive. By combining the university’s academic expertise with Keysight’s AI validation techniques, the collaboration seeks to advance methodologies applicable to automotive AI development. The research is expected to inform future development of[Keysight’s AI Software Integrity Builder](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.keysight.com%2Fzz%2Fen%2Fproduct%2FAX1000A%2Fai-software-integrity-builder.html&esheet=54598122&newsitemid=20260903072390&lan=en-US&anchor=Keysight%27s+AI+Software+Integrity+Builder&index=3&md5=0289932bac10b6189adae3105e50570a), enable enhanced support for AI safety arguments, safety evidence generation, and validation activities aligned with automotive industry expectations. For more information, visit [keysight.com](https://www.keysight.com/us/en/home.html). 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