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2026-10-21

待翻译:The State of AI Security: Threats, Tools, and Skills Gaps

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Artificial intelligence has changed cybersecurity permanently. While OpenAI’s inadvertent attack on Hugging Face brought AI-generated attacks to everyone’s attention, AI has been on security professionals’ radar for a long time. AI makes attacks possible at a scale that was hard to imagine a few years ago. Newly discovered zero-days can be exploited almost immediately. Deepfakes […]

O'Reilly AI & ML RadarAgent来源内容 · 翻译待补全待翻译:The State of AI Security: Threats, Tools, and Skills Gaps
待翻译:How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:In this article, you will learn how to build a multi-modal RAG pipeline in Python that retrieves and reasons over both text and images extracted...

Machine Learning Mastery研究来源内容 · 翻译待补全待翻译:How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python
待翻译:Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:At GTC Berlin, NVIDIA is showcasing its full lineup of local AI hardware. RTX Spark, which launched last week, powers personal agents on Windows PCs; DGX Spark supports developers building and scaling applications on Linux; and DGX Station serves enterprise teams running frontier workloads on Linux, with a Windows version arriving in December. Announcements include: […]

NVIDIA BlogAgent / 芯片来源内容 · 翻译待补全待翻译:Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents
待翻译:Google Cloud and NVIDIA Announce General Availability of NVIDIA Vera Rubin Infrastructure

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:General availability of the instances is coming next month, with planned expansion of availability to Europe — bringing an integrated platform for training, inference and large-scale reinforcement learning to cloud customers. A5X instances bring together NVIDIA Vera Rubin NVL72, NVIDIA ConnectX-9 SuperNICs, Google Cloud Virgo Network and Google Cloud’s fourth-generation advanced liquid-cooling technology for demanding […]

NVIDIA BlogAgent来源内容 · 翻译待补全待翻译:Google Cloud and NVIDIA Announce General Availability of NVIDIA Vera Rubin Infrastructure
待翻译:NVIDIA Cloud Partners Scale Across Europe — Sovereign, Open and Built for Safe AI Agents

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. Developers need compute closer to their data, open models they can customize and serve at scale, and full-stack infrastructure that is secure by design. NVIDIA Cloud Partners across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for […]

NVIDIA BlogAgent来源内容 · 翻译待补全待翻译:NVIDIA Cloud Partners Scale Across Europe — Sovereign, Open and Built for Safe AI Agents
待翻译:Europe’s Industrial Leaders Reinvent Engineering and Manufacturing With NVIDIA

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:To increase productivity, accelerate innovation and create new opportunities for economic growth, Europe’s industrial leaders are tapping NVIDIA CUDA-X and Omniverse libraries, as well as NVIDIA Cosmos and Nemotron open models, across the engineering and manufacturing lifecycle. Bringing those capabilities together on the factory floor, the NVIDIA Factory Operations Blueprint (FOX) is now available in […]

NVIDIA Blog模型 / 芯片 / Agent来源内容 · 翻译待补全待翻译:Europe’s Industrial Leaders Reinvent Engineering and Manufacturing With NVIDIA
待翻译:NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:NVIDIA cuDSS, launched today in general availability, is an NVIDIA CUDA-X library that shifts a critical part of engineering and scientific simulations onto GPUs. Complex engineering feats — from advanced chips to aircraft to industrial systems —– depend on simulation to predict how designs will perform before they’re built. As designs become more complex, simulations […]

NVIDIA Blog芯片 / Agent / 研究来源内容 · 翻译待补全待翻译:NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations
待翻译:NVIDIA Confidential Computing Expands, Enabling Frontier Model Builders to Securely Scale Across Global Infrastructure

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:NVIDIA builds tools to enable safe agents across the stack. The NVIDIA OpenShell Reference Architecture, announced today, is part of NVIDIA’s growing portfolio of technologies that enables organizations to safely deploy agents at scale. NVIDIA Confidential Computing is the infrastructure layer that protects the models and data those agents depend on while running. Today, NVIDIA […]

NVIDIA Blog模型 / Agent来源内容 · 翻译待补全待翻译:NVIDIA Confidential Computing Expands, Enabling Frontier Model Builders to Securely Scale Across Global Infrastructure
待翻译:NVIDIA Agent Toolkit Expands, Grounding Enterprise Agents in Company Data

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Agents are only as useful as what they know, and only as trustworthy as the boundaries they run within. Leading enterprises are using the open source NVIDIA Agent Toolkit — now expanded with new tools — to customize and control agents, use company data to inform their answers and actions, monitor what they do and […]

NVIDIA BlogAgent来源内容 · 翻译待补全待翻译:NVIDIA Agent Toolkit Expands, Grounding Enterprise Agents in Company Data
待翻译:NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking […]

NVIDIA Blog模型 / 机器人 / Agent来源内容 · 翻译待补全待翻译:NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
待翻译:Mercury 3

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AI工具来源内容 · 翻译待补全待翻译:Mercury 3
待翻译:GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof in 2001. Its permanent home has since hosted concerts, galas and political events. Today, it hosts a different kind of spectacle. GTC Berlin runs three days, with more than 100 sessions on agentic AI, robotics, […]

NVIDIA BlogAgent / 机器人来源内容 · 翻译待补全待翻译:GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote
待翻译:How we built ChatGPT’s novel ad stack for user trust and relevance

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Learn how OpenAI built ChatGPT’s LLM-powered ad stack to understand conversational intent, keep ads separate from answers, and deliver relevant ads at scale.

OpenAI News模型 / Agent来源内容 · 翻译待补全待翻译:How we built ChatGPT’s novel ad stack for user trust and relevance
待翻译:Koi

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AI工具来源内容 · 翻译待补全待翻译:Koi
待翻译:Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Mistral AI released Voxtral 3, a family of 3 transcription models, 1 text-to-speech model and a LiveKit-based voice agent SDK. Voxtral Small Transcribe 3 scores 2.1% AA-WER, ranking #3 on Artificial Analysis. The post Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK appeared first on MarkTechPost.

MarkTechPost模型 / Agent来源内容 · 翻译待补全待翻译:Mistral AI Releases Voxtral 3: Speech-to-Text, TTS and a Voice Agent SDK
待翻译:Agent Pets

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AIAgent来源内容 · 翻译待补全待翻译:Agent Pets
待翻译:Using thousands of AI agents to uncover new leads in biological data

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:See how OpenAI, PerturbAI, and Scripps Research used distributed AI agents to uncover promising research leads in data from millions of brain cells.

OpenAI NewsAgent / 研究来源内容 · 翻译待补全待翻译:Using thousands of AI agents to uncover new leads in biological data
待翻译:Deploy RFD4-Proteina on Databricks

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Bring RFD4-Proteina to your research data with AI-assisted development and serverless NVIDIA GPU compute....

Databricks Blog芯片 / 研究来源内容 · 翻译待补全待翻译:Deploy RFD4-Proteina on Databricks
待翻译:Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Google, Red Hat and IBM released llm-d 1.0, an open-source Kubernetes-native stack for distributed LLM inference. It adds multi-tenant flow control, zero-downtime upgrades and agent-aware routing across vLLM, SGLang, TPUs and GPUs. The post Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets appeared first on MarkTechPost.

MarkTechPost模型 / 芯片 / Agent来源内容 · 翻译待补全待翻译:Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets
待翻译:Southeast Asia’s digital economy to hit $368 billion

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.

Google AI BlogAgent来源内容 · 翻译待补全待翻译:Southeast Asia’s digital economy to hit $368 billion
待翻译:XoNav: An Exoskeleton as a Personalized Haptic Interface for Assisted Navigation

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:arXiv:2610.27271v1 Announce Type: new Abstract: Walking without vision requires timely, unambiguous guidance, yet many wearable aids encode directions as audio or vibrotactile signals that users must translate into movement. We present XoNav, a four-actuator hip exoskeleton that renders guidance cues directly at the hip joints. It renders an Advance cue and two-level Braking cues through sagittal-plane actuators and two-level Steering cues through frontal-plane actuators. A bilateral LSTM-based gait-state classifier uses two thigh-mounted IMUs to identify gait states, enabling haptic cues to be delivered in coordination with the wearer's gait while suppressing them during standing. The classifier generalized to unseen users with recalls of 95.2-97.9%, with mean…

arXiv Robotics政策 / 研究 / 机器人来源内容 · 翻译待补全待翻译:XoNav: An Exoskeleton as a Personalized Haptic Interface for Assisted Navigation
待翻译:EmbodyHOI: Embodiment-Aware Generation of Hand-Object Interactions for Humanoid Dexterous Manipulation

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:arXiv:2610.27242v1 Announce Type: new Abstract: Humanoid dexterous manipulation needs reference motions that are both semantically rich and kinematically feasible for the target robot. Text-conditioned hand-object interaction (HOI) generators supply diverse, language-specified demonstrations, but they synthesize motion in human (MANO) space. The embodiment gap is therefore deferred to post-hoc retargeting, where trajectories deployed on the robot can fail to maintain contact with objects and also degrade policy learning. Our key idea is that robot reachability should constrain the interaction trajectories while they are being generated. We present EmbodyHOI, which runs a differentiable inverse-kinematics (IK) solver for a specific humanoid embodiment inside the…

arXiv Robotics机器人 / 研究来源内容 · 翻译待补全待翻译:EmbodyHOI: Embodiment-Aware Generation of Hand-Object Interactions for Humanoid Dexterous Manipulation
待翻译:Which Depth Estimator for Jetson AGX Orin? A 2026 Benchmark of Monocular and Stereo Methods

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:arXiv:2610.27199v1 Announce Type: new Abstract: The Jetson AGX Orin is a common computer for robots and vehicles, yet measured accuracy, speed and energy of current depth estimators on it are hard to find. We benchmark nine model families as of October 2026: the monocular Depth Anything V2 and 3, Depth Pro, MoGe-2, Metric3D v2 and UniDepth V2, and the stereo methods libSGM, NVIDIA ESS and Fast-FoundationStereo. Every method runs on the Orin as a TensorRT FP16 engine or native CUDA code at up to three input sizes, up to the full 5.7 MP, and is scored for metric accuracy against Middlebury 2014 ground truth (non-occluded pixels of the 10 scenes whose disparity stays below 256 px), GPU time, energy and licence. Stereo is far more accurate. At 30 fps, NVIDIA's ESS…

arXiv Robotics研究 / 芯片 / 机器人来源内容 · 翻译待补全待翻译:Which Depth Estimator for Jetson AGX Orin? A 2026 Benchmark of Monocular and Stereo Methods
待翻译:Learning to Be Different: Component Specialization for Compositional Diffusion Policies

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:arXiv:2610.27194v1 Announce Type: new Abstract: Diffusion policies with linearly composed scores have emerged as a promising approach to multitask robotic learning by combining separate factors to enable modular, task-wise adaptation, compositional generalization, and interpretable functional decomposition. However, current training objectives do not encourage factor specialization, often resulting in uninterpretable denoisers whose composed prediction is an average over identical copies, undermining their architectural premise. To address this, we propose a drop-in score-decorrelation auxiliary loss, motivated by projective composition theory. Our approach encourages specialization by penalizing overlap directly between component noise predictions, with little…

arXiv Robotics模型 / 研究 / 机器人来源内容 · 翻译待补全待翻译:Learning to Be Different: Component Specialization for Compositional Diffusion Policies
待翻译:Visual Task Modeling and Automated Planning for Humanoid Robots in Education of Individuals with Autism Spectrum Disorder

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:arXiv:2610.27162v1 Announce Type: new Abstract: In robot-assisted education, a robot must understand how to complete a task in order to effectively guide a student through it. We present a novel method that enables a semi-autonomous, camera-equipped robot to recognise the task goal and plan actions to achieve it. Our work focuses on Shoebox Tasks, an activity commonly used in the education of individuals with Autism Spectrum Disorder (ASD). These tasks are designed so that the goal can be inferred directly from their visual structure. We have developed a solver that uses a vision-based Large Language Model to convert photos of a Shoebox Task into a Planning Domain Definition Language (PDDL) representation and generate action plans for solving it. We have also i…

arXiv Robotics机器人 / 模型 / 研究来源内容 · 翻译待补全待翻译:Visual Task Modeling and Automated Planning for Humanoid Robots in Education of Individuals with Autism Spectrum Disorder