arXiv:2608.11616v2 Announce Type: replace Abstract: Agentic systems powered by large language models (LLMs) have opened new opportunities for business…
Category: AI
Monitor on-premises and multi-cloud AI agents with AgentCore Observability
Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough…
Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration
arXiv:2608.11195v2 Announce Type: replace Abstract: AI agents are increasingly used in mathematics research, but it is often unclear how to use them…
Accelerating M&A due diligence with Amazon Bedrock AgentCore
Learn how to build a multi-agent M&A due diligence system on Amazon Bedrock AgentCore. This post walks through a reference architecture that combines…
Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information
arXiv:2608.10766v2 Announce Type: replace Abstract: Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system…
Amazon Quick for Microsoft 365: Agentic AI where you work
Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic…
OEIS Open: How many conjectures can language models turn into theorems?
arXiv:2608.11941v2 Announce Type: replace Abstract: We construct OEIS Open, a benchmark based on 492 open mathematical conjectures from the OEIS,…
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
arXiv:2608.09696v3 Announce Type: replace Abstract: Predicting the answer to interventional “what if” questions — the outcome of an action never taken…
iARCS: Iterative Agentic RL for Controllable 3D Scene Generation
arXiv:2608.06161v2 Announce Type: replace Abstract: Synthetic 3D scene generation is increasingly used as a data source for computer vision and embodied…
Recursive Synthesis for Long-Horizon Terminal Tasks
arXiv:2608.05466v3 Announce Type: replace Abstract: High-quality long-horizon training data for terminal agents is expensive to produce, often costing…