- 资讯公开站rss_mtwmag
LMW’s Turnmill Center LR30MY L17 Wins India’s Best Design Award 2026
August 29, 2026 : LMW Limited (formerly known as Lakshmi Machine Works Limited), a leading manufacturer of advanced CNC machines and engineering solutions, is proud to announce that its Turnmill Center LR30MY L17 has bee…
- 论文公开站arXiv
CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
Open-source web agents are now strong enough to execute realistic browser tasks, but training them with reinforcement learning still depends on weak supervision: binary task success is too sparse for credit assignment, w…
- 资讯公开站Entrepreneur
He Wrote Down Everything People Hate About Going to the Doctor. Then He Built a Business to Fix It.
Dr. Darshan Shah created Next Health to take the fear and frustration out of doctor visits. Now, he has more than 25 clinics around the world.
- 资讯公开站Ars Technica
MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
- 资讯公开站EE Times
Trusted AI: Why Intelligence Alone Isn’t Enough
- 资讯公开站Entrepreneur
Better Branding Will Make More Money Than Having the Best Marketing — Lessons Learned From Real Estate
As consumers become overwhelmed with options, building trust before the first sale will become the obvious choice when it matters most.
- 开源项目公开站GitHub
rust-embedded/awesome-embedded-rust — Curated list of resources for Embedded and Low-level development in the Rust progr
- 论文公开站arXiv
Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning
Step-size selection remains a central challenge in large-scale neural network optimization; conservative steps slow convergence, while aggressive steps can destabilize it. We combine \textbf{Z}ero-and-\textbf{F}irst-\tex…
- 资讯公开站Entrepreneur
Your Employees Are Already Fixing Your Broken Processes. Are You Watching?
Growth should make a business stronger, but it can also create complexity that slows decisions, frustrates employees and pulls leaders back into problems they thought were solved.
- 资讯公开站Ars Technica
Judge dismisses Chegg and Penske antitrust lawsuits targeting Google AI search
- 资讯公开站rss_robot_report
《机器人报告》母公司Arrowfly推出面向工程师的AI平台及活动
The Robot Report parent Arrowfly launches AI for Engineers platform, events for engineers navigating AI
该面向工程师的举措包括新闻编辑部、会议、研究和顾问委员会，以值得信赖的编辑品牌为基础。《机器人报告》母公司Arrowfly推出面向工程师应对AI的AI for Engineers平台及活动一文首先发表于《机器人报告》。
- 资讯公开站Semiconductor Engineering
Open Security Foundations Are Only The Beginning: Deploying Caliptra Hardware in Production
- 论文公开站arXiv
Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning
Lossy compression is widely used in Federated Learning (FL) but is generally treated as an error source, while conventional poisoning defenses inspect update geometry. In this work, we instead treat the compressor's resp…
- 资讯公开站Semiconductor Engineering
从Caliptra基础到全面生产部署
From Caliptra Foundation To Full Production Deployment
- 资讯公开站Semiconductor Engineering
重新思考AI验证
Rethinking AI Validation
- 论文公开站arXiv
Kafila：在可信异构消费级机器集合上服务大语言模型
Kafila: Serving Large Language Models on a Trusted Set of Heterogeneous Commodity Machines
研究组成员或朋友圈各自拥有几台消费级计算机，但单台都不足以运行一个有能力的大语言模型。现有系统在开放集群中汇聚此类算力，而仅接纳可信机器的群体则无法使用。
- 资讯公开站Digitimes
专栏：超越零信任——AI供应链韧性需要备选方案
Column: Beyond Zero Trust – why AI supply chain resilience needs a plan B
AI正快速进入企业运营，模糊了网络安全与供应链管理的界限。在AI时代，零信任不再只是谁能访问系统的问题，企业还须审视自身依赖谁与什么、集中度如何。
- 开源项目公开站GitHub
nautechsystems/nautilus_trader：生产级Rust原生交易引擎
nautechsystems/nautilus_trader — Production-grade Rust-native trading engine with deterministic event-driven architecture
- 论文公开站arXiv
信任引导的决策Transformer
Trust Guided Decision Transformer
摘要显示，Decision Transformer 在长程 rollout 中因条件上下文偏离训练分布而性能下降，这种漂移可通过模型自身的下一状态预测误差观察到。作者提出 Trust Guided Decision Transformer（TGDT），先用滚动下一状态预测误差并结合 split conformal prediction 校准阈值筛选可信上下文后缀，再由冻结 critic 在可信后缀中选择最高价值动作。D4RL 导航与运动…
意义：为离线强化学习中的长程决策提供了一种基于模型自检误差的上下文可靠性筛选思路，有助于提升 Decision Transformer 类方法的稳定性。
- 资讯公开站EE Times
面向智能安全工业与数字能源的全栈半导体解决方案
Full-Stack Semiconductor Solutions for Smart, Secure Industry and Digital Energy
摘要显示，新加坡创立的半导体公司 NSING Technologies 提供面向工业自动化、AI 数据中心与数字能源的全栈芯片方案。其 N32 系列 MCU 主频 144–600 MHz，基于 Cortex-M4F/M7，集成 EtherCAT、CAN-FD、USB-HS 与高精度 ADC，可用于伺服驱动、逆变器和 PLC，具备宽温与 EFT 抗扰能力；同时提供基于 TPM 2.0 的硬件信任根芯片，支持安全启动与设备认证。
意义：工业与能源场景对实时控制与硬件安全需求上升，此类全栈 MCU 加安全芯片方案为开发者提供集成度更高的选型方向。
- 资讯公开站Entrepreneur
我从教师转型为高管——这些课堂规则仍在管理我的团队
I Went From Teacher to Executive — These Classroom Rules Still Run My Team.
摘要显示，一位从教师转型为高管的领导者认为，最有效的领导者用善意强化问责、建立信任，并为卓越表现创造条件。文章将课堂管理规则迁移到团队管理中，强调善意与问责并不矛盾，而是可以共同促进绩效。
意义：为技术管理者提供跨领域领导力视角，善意与问责结合有助于打造高效能团队。
- 论文公开站arXiv
信还是不信：语音中的检索增强事实核查
To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech
摘要显示，研究者提出 VeriSpeak，一个用于研究大型音频语言模型（LALM）语音事实核查能力的探针基准，包含 3,879 条口语化声明，覆盖时间、地理与关系类事实，真假标签均衡。实验发现文本与语音之间存在稳定的模态差距：能可靠核查书面声明的模型在同样内容以语音呈现时常常失败；仅靠检索收益有限，因为模型常将检索证据与语音声明混淆，而检索结合显式推理可提升声明-证据比对效果，思维调优的 LALM 达到 86.1% 准确率。
意义：提示开发者：语音场景下事实核查不能简单复用文本能力，需重视跨模态差距与检索证据的显式推理比对。
- 资讯公开站Semiconductor Engineering
当AI智能体跨越芯片设计孤岛
When AI Agents Cross Chip Design Silos
摘要显示，随着AI代理在芯片设计中的作用范围扩大，专业化和编排正变得更加重要，但协调、控制与信任仍是挑战。文章探讨了AI代理跨设计孤岛时的协作难题，指出需要新的机制来确保有效整合。
意义：AI代理进入芯片设计可提升效率，但跨团队协作与信任问题亟待解决，对EDA工具和AI集成有影响。
- 资讯公开站Semiconductor Engineering
EDA的未来是证据驱动的自动化
EDA’s Future Is Evidence-Driven Automation
摘要显示，AI虽可加速半导体设计，但用户仍需形式化证明、语义连续性和可审计工作流来信任自动化。文章指出，证据驱动的自动化是EDA发展的关键方向。
意义：对AI在EDA中的应用提出信任与可验证性要求，影响开发者设计自动化工具的方向。
- 资讯公开站Nature News
为何AI公司不值得信任进行自我监管
Why AI companies can’t be trusted to self-regulate
《自然》新闻刊文讨论 AI 企业自我监管的可靠性问题。摘要显示，文章质疑让 AI 公司自行制定并执行安全与伦理规范的做法，认为缺乏外部约束时企业难以被信任。文章未在摘要中给出具体数据或机构表态，具体论据与建议需查阅原文。
意义：AI 治理走向外部监管还是行业自律，直接影响开发者的合规成本与安全实践要求。
