Agent与工具

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes reliability a major barrier to production adoption. In multistage engineering workflows, an undetected error early in setup can s

Amp puts AI agents to work beyond code with OpenAI models

See how Amp pushes the frontier of what agents can do with GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.

HydraFusion updates and new Max option

HydraFusion has an updated model pool, improved orchestration workflows, and introduces HydraFusion Max. Both HydraFusion and HydraFusion Max are available across VS Code, the GitHub Copilot app, and GitHub Copilot CLI and remain in research preview. HydraFusion orchestrates mult

How Third Moment Research runs 10,000 agents for 36+ hours

With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.

Agent observability on the Claude Platform

Announcing OpenTelemetry traces from Claude Managed Agents, the Messages API, and Claude SDKs on the Claude Platform.

NVIDIA RTX Spark 笔记本 10 月 16 日上市，生态伙伴同步推出本地 AI 软件更新

NVIDIA 官宣 RTX Spark 笔记本将于 10 月 16 日发售，配合发布推出覆盖 Agent、创意和开发工具的软件更新，该超芯片具备最高 128GB 统一内存和 1 petaflop AI 算力。

The EU’s next chapter in AI is agentic

New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

Putting Earth AI to work: Geospatial agents for our planet's biggest challenges

Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster

Apigee hybrid 1.17.0 introduces native Model Context Protocol (MCP) support, enabling the MCP data plane to run directly within your own Kubernetes cluster. This architecture ensures that AI agent request traffic and tool execution remain entirely inside your infrastructure while

How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents

Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex queries across increasingly large datasets. Meeting that demand requires greater data throughput without a proportional increa