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查询affective computing boundary 原始出处
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来源匹配分 44IEEE Transactions on Affective Computing

IEEE Transactions on Affective Computing

research_literature · reliability A

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文档匹配分 40arXiv

A Lie Detector Test for Language Models: Reading Knowledge a Model Won't Reveal

Large language models can hold knowledge they do not report. A model may sandbag on a capability evaluation, or answer against what it internally knows, and its outputs alone cannot tell whether it is hiding an answer or simply does not have one. We borrow the Concealed Information Test, a forensic method that identifies guilty knowledge by presenting a suspect with the true detail among plausible decoys and measuring a stronger response to the item they recognize. Our method, Probe of Internal Recognition (PIR), does the same inside a model. It presents a question with its candidate answers a

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文档匹配分 36NVIDIA Newsroom

NVIDIA Expands Open Source CUDA-Q Platform for Fault-Tolerant Quantum Computing

News Summary: The NVIDIA CUDA-Q platform now includes the CUDA-Q Logical orchestration layer, giving the quantum industry an open, programmable way to design and test fault-tolerant quantum computing applications in areas such as drug discovery, financial modeling and materials development. Fermilab used CUDA-Q Logical to accelerate fault-tolerant architecture development from five months to three weeks — a 7x speedup. QUOPS is a benchmark for the future of quantum computing, measuring the readiness of fault-tolerant quantum hardware for practical applications. Developed by Sandia National Lab

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文档匹配分 28NVIDIA Newsroom

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the […]

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文档匹配分 28arXiv

COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules

Every multiparameter persistence vectorization we know of carries a one-sided Lipschitz upper bound and nothing below it: without a lower gauge there is no sense in which the features are faithful, and no per-prediction guarantee can be built on them. This paper supplies the missing side. COMPLEX is a closed-form, training-free embedding of multiparameter modules -- slice the module along a fixed near-diagonal net, embed each slice barcode by the certified PLACE/PALACE landmark map, concatenate. Under a checkable witnessing-slice coherence condition, holding on 100% of audited pairs on Orbit5k

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文档匹配分 28NVIDIA Newsroom

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech. Before a packed audience — with more than 8,000 attendees this year, up from 3,500 last year — […]

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文档匹配分 24NVIDIA Newsroom

NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories

Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is introducing […]

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文档匹配分 20Kubernetes Blog

Kubernetes v1.37: Scheduler Preemption for In-Place Pod Resize (Alpha)

In Kubernetes, resource allocation has historically been a static decision made during a Pod's initial scheduling and placement. With the graduation of the core in-Place Pod resize feature to General Availability in v1.35, application developers and cluster operators gained the powerful ability to dynamically adjust CPU and memory allocations of running containers without incurring disruptive restarts or application downtime. However, in-place resizing introduced a unique resource scheduling gap: if a running Pod requested a resource scale-up that exceeded the host node's allocatable headroom,

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文档匹配分 20arXiv

Available Guardrails: Certifying Selective Prediction across ML Systems

A selective predictor acts as a safety gate: it returns an output only when the prediction appears sufficiently trustworthy. Deployments increasingly require this reliability to be certified at a target precision for every reporting unit of interest, such as a tool, policy label, or patient subgroup. The main difficulty is often not whether a granted certificate is valid, but whether finite calibration data can produce one at all. As the gate becomes safer or more fine-grained, some units may receive too little evidence to certify. We make this notion of availability computable through classic

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文档匹配分 20Microsoft Azure Blog

Two zones or three? A design framework for zone-resilient Azure workloads

Zone resiliency isn't a single number you apply to a whole workload. The useful question isn't “how many zones?” but “how many zones does each component need to survive the loss of one?” Decide zone patterns component by component, use service-managed zone redundancy wherever it fits, and reserve three-zone designs for the components that genuinely require a third failure domain. The post Two zones or three? A design framework for zone-resilient Azure workloads appeared first on Microsoft Azure Blog .

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文档匹配分 20NVIDIA Newsroom

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, […]

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知识生命科学匹配分 20

监管路径

把试验阶段、主要终点、安全性、适应症和监管沟通分开看,不把临床更新等同于疗效结论。

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知识人类智能匹配分 20

情感计算边界

情绪识别和陪伴产品应区分体验优化、心理健康声明、敏感数据处理和独立证据。

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文档匹配分 16OpenAlex

Legal, ethical and moral dilemma of human cloning: the conflict between technological progress and human dignity

Frontiers in Medicine | article | Human cloning involves creating a genetically identical copy of a human cell, tissue, or embryo. That is, human reproductive cloning, producing a genetic copy of an existing person, has never been successfully done and remains globally banned or restricted. While there is no scientific evidence of successful human reproductive cloning, biotechnology combines cloning methods with genetic engineering to drive advancements in medical research and disease treatment. With the development of genetic engineering and cloning technologies, human cloning, as a possible

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文档匹配分 16AWS Machine Learning Blog

Deploy Hugging Face models on Amazon SageMaker AI with coding agents

Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the right serving container, autoscaling, Amazon CloudWatch alarms, and a verified teardown path.

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文档匹配分 12arXiv

NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities

We introduce NemotronLabs VoiceChat, an open full-duplex speech-to-speech model with native tool-calling capabilities. NemotronLabs VoiceChat combines a streaming speech encoder and decoder-only language model with parallel specialized output streams for agent text and structured function calls, an auxiliary RNN-T branch for incremental user transcription, and a streaming TTS decoder. This design enables the model to listen, transcribe, reason, invoke tools, and speak within a unified streaming architecture while preserving the temporal behavior required for natural conversation. On Full-Duple

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文档匹配分 12OpenAlex

Integrating Artificial Intelligence with Emerging Pharmaceutical Technologies: Current Progress, Clinical Translation, and Future Challenges

International Journal of Molecular Sciences | article | Modern scientific and technological developments are driving major advances in drug research and development. This narrative review, based on a structured search of PubMed, Scopus, and Web of Science (2018–2026), examines how artificial intelligence (AI) and machine learning (ML) are accelerating a historically prolonged and expensive process, alongside pharmacogenomics, organ-on-a-chip systems, three-dimensional (3D) bioprinting, and nanotechnology. In benchmark studies, deep learning techniques have achieved an area under the receiver o

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文档匹配分 12arXiv

Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design

Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We introduce a continual adaptation framework in which a frozen frontier model operates professional design software through more than 230 tools, while an external procedural memory of natural-language skills accumulates and refines reusable design procedures from experience. The memory widens by acquiring procedures for recurring uncovered subtasks and deepens by revising existing procedures against thei

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文档匹配分 12arXiv

Time series generation with spectrally aligned latent flow matching

Latent flow models have proven to be a reliable and cost-effective method for time series generation. However, the latent compression induces unwanted artefacts, such as a spectral mismatch with respect to the underlying dataset, thus hindering their use as training surrogates. In this article, we propose a spectrally-aligned latent-flow time series generator, where the latent space for flow matching is trained to preserve dynamical properties that are relevant for the suitability of synthetic samples. We find that incorporating fine-tuning losses based on canonical signal representations such

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文档匹配分 12NVIDIA Newsroom

Cute Critters Come to the Cloud: ‘Aniimo’ Launches on GeForce NOW

A new creature-catching adventure is ready to stream from the cloud this week. Pawprint Studio’s Aniimo arrives on GeForce NOW at launch, inviting gamers to explore the vibrant continent of Idyll across supported devices. Also this week, 007 First Light receives a path-tracing update on GeForce NOW, alongside a smashing limited-time Deluxe Edition sale on […]

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