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How Many Design Experiments Does A Machine Learning Predictor Actually Need?
Machine learning prediction in CAE has a clear proposition: Train a predictor on solved design experiments, then evaluate new designs in seconds instead of hours.…
- The proposition is only as good as the training dataset, and the datas…
- Every design experiment is a full, explicit crash run.
- So the first real engineering decision in an ML workflow is how many e…
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AI Is Forcing Data Centers To Rethink Trust
Key Takeaways: With AI-driven demand for data center capacity making data center security more crucial than ever, the convergence of physical and cybersecurity can no longer be an afterthought.…
- The boundaries of trust must expand to cover the entire supply chain, …
- New security standards for data center components are driving componen…
- Securing the entire data center supply chain is a monumental task, and…
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Humanoid Compute, Security More Complex Than AVs
Key Takeaways: Distributed compute includes AI-enabled MCUs/NPUs in the palm of the hand to pre-process finger data, while a centralized compute system often features a GPU to process the raw inputs from all sensors via an FPGA-based sensor bridge and Ethernet.…
- Hybrid architectures are needed to accommodate various robotics applic…
- Others will benefit from targeted small language models.
- A wide variety of sensors, models, and connectivity options create a b…
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Protecting Mission-Critical Data Beyond The SoC: Why Inline Memory Encryption Needs Integrity
By Vincent van der Leest and Ajay Kapoor Security architects devote considerable attention to trusted processing, secure boot, and protected communications.…
- Yet sensitive instructions and data often leave the system-on-chip (So…
- That interface can expose mission-critical data like cryptographic mat…
- For aerospace and government platforms, where systems may operate in c…
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Intelligent Engineering: From Optimization To AI
The complexity of modern electronic systems is growing faster than traditional engineering workflows can efficiently manage.…
- High-speed interfaces, dense PCB layouts, advanced packaging technolog…
- This challenge is driving the adoption of intelligent engineering meth…
- Optimization improves decision quality through systematic exploration …
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全场景智享硬核SUV 传祺越7开启预售 权益价17.18万-21.78万
9月2日，“都市自在 山海从容”传祺越7预售发布会于广州白云国际会议中心举办。广州这座活力之城，既是大湾区产业创新高地，亦是中国汽车产业的重要策源地。广汽传祺是广州首个乘用车自主品牌，更是广汽自主事业的核心根基，发布会选址在素有“岭南会客厅”之称的广州白云国际会议中心，既体现了传祺越7是广汽技术积淀的集大成之作，更代表着广汽全球化的布局和决心。…
- （传祺越7预售发布会合影）在本次发布会上，传祺越7正式开启预售，预售权益价为17.
- 为回馈广大用户的支持与厚爱，现下订传祺越7可享受至高价值28000元的四重好礼，丰富权益诚意满满。
- 更加惊喜的是，越7还送出一年免费使用权的超级福利。
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「小」鸭子火了之后，端侧 AI 还有一个更「大」的问题
最近，一只只有 25 厘米高的机器鸭，意外把端侧 AI 的想象力拉到了聚光灯下。Hugging Face 旗下 Pollen Robotics 发布的 Microduck，是一款售价 399 美元的开源双足机器人。…
- 它约 800 克重，开箱即可行走、坐下、踢球、抓取，摔倒后还能自己爬起来。
- 更重要的是，它并不只是一个会动的玩具，而是一个面向开发者的开源机器人平台：用户可以在仿真环境中训练动作策略，再部署到真实机器人上。
- 这只“小鸭子”之所以引发关注，不只是因为它足够可爱、足够便宜，也不只是因为机器人终于开始进入普通开发者的桌面。
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项目频道 - GAP x Hailey Bieber：欢迎来到1996
视频今年 7 月，GAP 携手全球时尚偶像海莉·比伯（Hailey Bieber），共同推出了名为“The Hailey Jean”的限量牛仔胶囊系列。这一系列在 7 月 17 日发售后，短短几分钟内便在全球各大渠道宣告售罄，更在社交媒体上掀起了一场“海莉神裤”的热潮。…
- 这次合作的起点，被定格在了 “1996”。
- 为了还原那种纯粹的复古质感，GAP 组建了一支顶级的视觉团队。
- 广告大片由时尚摄影大师 Mario Sorrenti 掌镜，造型则出自顶级形象顾问 Alastair McKimm 之手。
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Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems
arXiv:2609.…
- 02264v1 Announce Type: new Abstract: Adapting the communication topolo…
- We argue that this formulation is misaligned with the problem.
- Empirically, topologies that survive a reward filter collapse to about…
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APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
arXiv:2609.…
- 02253v1 Announce Type: new Abstract: Deep research agents augment larg…
- Learning from prior experience is crucial for continual improvement, y…
- We propose APEx, a hierarchical experience utilization framework that …
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LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails
arXiv:2609.02246v1 Announce Type: new Abstract: Self-improving agent pipelines have a problem at their center.…
- An optimizer rewrites prompts to score higher, and the score comes fro…
- That judge has the last word on whether the system is getting better, …
- The judge should be demoted from oracle to advisor: its verdict become…
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Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
arXiv:2609.02244v1 Announce Type: new Abstract: Large language models (LLMs) often struggle when low-resource training data are ambiguous or incomplete.…
- Task-level natural-language priors can provide useful guidance in such…
- We propose Prior-Guided Tuning (PGT), a training perspective that inco…
- Under this perspective, we introduce Contrastive Prior Steering (CPS),…
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Propose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality
arXiv:2609.02242v1 Announce Type: new Abstract: AI assistants often collaborate by proposing candidate edits, plans, or designs that users evaluate before adoption.…
- Existing assistance methods focus on proposal quality or user-goal inf…
- We study evaluability-aware proposal planning, where proposals serve b…
- We formalise this setting as ProSE, a hidden-parameter sequential assi…
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Artek’s Stool 60 Receives Handcrafted Leather “Shoes” From Hender Scheme
SummaryHender Scheme and Artek introduce raw leather "shoes" for Alvar Aalto’s Stool 60 legs.…
- The capsule includes leather-wrapped trays, baskets, and custom furnit…
- Releasing October 10 at Sukima, Artek Tokyo, Artek Helsinki and select…
- Japanese leather artisan brand Hender Scheme has partnered with renown…
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PGPO: Potential-Guided Policy Optimization for Multi-Turn Agentic Tasks
arXiv:2609.…
- 02236v1 Announce Type: new Abstract: Group-based reinforcement learnin…
- To obtain more fine-grained credit assignment, recent work such as GiG…
- However, these step-level signals still rely on the final outcome of e…
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PhoenixNest-Video: Evidence-Grounded Multimodal Agent Framework for Automated Video Interview Assessment
arXiv:2609.…
- 02231v1 Announce Type: new Abstract: Interview assessment requires per…
- We introduce PhoenixNest-Video, an evidence-grounded multimodal agent …
- It builds a semantic video graph as structured working memory, perform…
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SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
arXiv:2609.…
- 02217v1 Announce Type: new Abstract: LLM agents increasingly self-impr…
- On long-horizon workloads where each task demands a different solution…
- We argue the missing unit of reuse is the solving procedure shared by …
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PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion
arXiv:2609.…
- 02216v1 Announce Type: new Abstract: Inductive knowledge graph complet…
- Existing subgraph- and path-based approaches often encode relational p…
- We propose PEARL, a Path-Entity Aligned Relational Learning framework …
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ASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models
arXiv:2609.…
- 02215v1 Announce Type: new Abstract: Safety alignment trains large lan…
- Requests that only recontextualise the same operational content, chang…
- The ASCII Attack is one such recontextualisation.
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项目频道 - 新西兰电信广告：表情包聊不明白的，还是电话聊吧
谁还没吃过线上聊天词不达意的苦啊。对面发过来一个赞，你当人家认可的“你很好”，事实是恨上了的“你好得很”；而你发出去一个“hh”，你想说的是“哈哈”，对面却可能以为是“呵呵”……这哪里是聊天，分明是网络用语十级测试选择题。…
- 新西兰电信运营商One New Zealand，就从这些线上聊天常见的沟通障碍出发，推出一系列户外广告，请路人一起猜猜，那些聊天框里丢出的e…
- You've offended me deeply: I will be thinking about this at 3am.
- And so will you.
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