NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek
The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,...
国内外 AI 最新资讯、大模型发布与能力更新。
追踪 Agent、MCP、算力与显卡,保留原始来源。
The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,...
Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared...
Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...
Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one...
AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the...
Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...
Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications...
Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find...
Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data...
AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding...
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a...
Status: Resolved All impacted services have now fully recovered. Affected components Codex API (Operational)
Status: Resolved All impacted services have now fully recovered. Affected components Conversations (Operational) Image Generation (Operational) ChatGPT Work (Operational)
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Br
Introducing Intelligence Age, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.
Status: Resolved All impacted services have now fully recovered. Affected components Login (Operational)
## What's Changed ### Features - Add declarative conversational flows documentation - Synthesize built-in conversational methods for declarations - Enable declarations to drive conversational mode - Make conversational opt-in unmistakable - Carry the AMP slug
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
模型仓库动态。仓库创建:2026-08-19T16:40:35.000Z。最后修改:2026-08-19T23:46:54.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
模型仓库动态。仓库创建:2026-08-19T16:41:21.000Z。最后修改:2026-08-19T23:46:54.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
模型仓库动态。仓库创建:2026-08-19T14:56:11.000Z。最后修改:2026-08-19T23:46:53.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
模型仓库动态。仓库创建:2026-08-19T15:02:28.000Z。最后修改:2026-08-19T23:46:53.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
模型仓库动态。仓库创建:2026-08-19T14:43:49.000Z。最后修改:2026-08-19T23:46:52.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
模型仓库动态。仓库创建:2026-08-19T14:48:47.000Z。最后修改:2026-08-19T23:46:52.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:zero-shot-image-classification。
来源已更新,查看详情及原始发布记录。
an illustrated image with icons and phrasing like "Add Notebook" and "Ask Google" Here’s how you can use Google Search tools to study for classes and standardized tests.
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.