Agents

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents

Civil litigation is inherently a life-cycle process: what a lawyer drafts on day one constrains what unfolds at trial months later. Yet existing legal benchmark…

ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch

Bringing Large Language Models (LLMs) into industrial ride-hailing dispatch as semantic feature extractors over platform-scale behavioral logs is a compelling b…

SAGE: Stochastic Prompt Optimization via Agent-Guided Exploration

Context engineering has emerged as a primary lever for improving AI systems without parameter updates. Recent work showing that textual gradients do not functio…

SciRisk-Bench: A Risk-Dimension-Aware Benchmark for AI4Science Safety

Large language models (LLMs) are increasingly embedded in AI for Science (AI4Science) workflows, from scientific question answering and literature analysis to l…

Towards an Agent-First Web: Redesigning the Web for AI Agents

The World Wide Web was built on an assumption held for three decades: the primary consumer of web content is a human being. This permeates every layer; its acce…

AdsMind: A Physics-Grounded Multi-Agent System for Self-Correcting Discovery of Adsorption Configurations on Heterogeneous Catalyst Surfaces

Identifying the lowest-energy surface-adsorbate configuration is critical for modeling heterogeneous catalysis, yet exhaustive exploration with ab initio calcul…

Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play

Large language model (LLM)-based multi-agent systems (MAS) have demonstrated great potential in solving tasks with execution complexity, by distributing subtask…

Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents

Production data integration is bottlenecked by repeated, lossy handoffs between data owners, engineers, and analysts who must collaboratively discover, structur…

France Advances Europe’s AI Future With NVIDIA Technologies

A year ago at NVIDIA GTC Paris at VivaTech, France laid out plans to advance local AI — from new AI factories and national compute capacity to open frontier mod…

Get back hours every day with autonomous agents in Amazon Quick

Today, Quick gets even more powerful: new autonomous agents that work continuously on your behalf, an activity feed that helps you prioritize your mos…

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, …

A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry

OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research.…

GitHub Copilot app generally available

The GitHub Copilot app is now generally available for macOS, Windows, and Linux. It’s the desktop home for agent-driven development, built natively on Git…

Agent finder for GitHub Copilot now available

GitHub agent finder is now available. Instead of hand-wiring which MCP servers, skills, canvases, agents, and tools each agent should use—and filling your…

New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning

Today we're introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capa…

Nvidia research shows robots that train themselves through AI coding agents

Researchers from Nvidia, Carnegie Mellon University, and UC Berkeley are using AI coding agents to teach robots dexterous grasping in the real world. A fleet of…

WHAT THEY ARE SAYING: First Lady Melania Trump Launches Fostering the Future Accounts

Last week, First Lady Melania Trump launched Fostering the Future Accounts, a new financial resource established to empower foster youth to be fiscally aut…

From AI potential to agentic reality: Driving the UK’s next chapter

The United Kingdom, and London in particular, continues to be one of the great hubs for AI development in Europe and the world. We’re home to Google DeepMind, o…

Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API

Today, we’re announcing a new API with Amazon Bedrock Guardrails. With this API, you can apply individual safeguards, also referred to as safety checks, at any …

Hands Free, AIs Forward: NVIDIA XR AI Brings Agents to AR Glasses

NVIDIA XR AI is now available in public beta, giving developers a framework for building multimodal AI agents for AR glasses and XR devices.  …

4 ways we’re using our MCP server at Figma

HPE AI Factory With NVIDIA Expands for the Era of Agents

Enterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover…

The agentic advertising economy: From attention to action

As AI changes how consumers discover products and impact is measured, advertising value will shift to the players that can shape what is seen, selected, and pur…

How Siemens "slices the elephant," advancing agentic workflows for industrial software development

For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide. As a global leader in i…

Anthropic backs off unpopular billing overhaul as price war with OpenAI looms

Anthropic has pulled back its planned billing change for the Claude Agent SDK just before launch. Instead of separate credits, the SDK and third-party apps will…

AI Agent Failure Detection and Root Cause Analysis with Strands Evals

In this post, we walk you through calling the detector functions to diagnose real agent failures. You learn how to interpret their structured output: categorize…

Build context-rich research agents with Deep Agents and Bedrock AgentCore

In this post, you'll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI wo…

Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns

Where are your agents right now?…

Google Cloud's Open Knowledge Format turns scattered docs into Markdown files for AI agents

Google Cloud's new Open Knowledge Format (OKF) standardizes scattered organizational knowledge as Markdown files with YAML frontmatter, making it portable and u…

AI coding agents find the right file but miss the exact lines that matter, study shows

AI coding agents like Claude Code or Codex reliably find the right file but miss most of the critical lines within it. The new SWE-Explore benchmark is the firs…