AI agents suffer from statelessness, requiring constant context reloading. Memora introduces a scalable memory system decoupling storage from retrieval, achieving state-of-the-art on long-context benchmarks while using up to 98% fewer tokens.

DiScoFormer is a transformer that estimates both density and score of a distribution from a set of data points in a single forward pass without retraining. It uses cross-attention, a shared backbone with two heads, and a consistency loss to adapt to new distributions. It significantly outperforms KDE in high dimensions.

This article demonstrates how to combine Amazon Nova 2 Lite with Anthropic's Claude Sonnet 4.6 to build a cost-effective document digitization pipeline for scanned documents like yearbooks. The two-model pipeline on Amazon Bedrock uses Nova 2 Lite for multimodal extraction (photo detection, name extraction with coordinates) and Claude for spatial reasoning to match names to faces. Testing on 336 pages achieved 3,122 name-to-face associations with 93% at confidence ≥0.95, reducing per-page cost by approximately two-thirds.

This post shows how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. Each layer operates independently to reduce cross-tenant data exposure risk, even if the LLM is compromised.

This post shows how to build an automated claims processing pipeline using Amazon Bedrock Data Automation for intelligent document extraction and Amazon Bedrock AgentCore for hosting an AI agent that validates and transforms data into FHIR resources in AWS HealthLake, reducing manual processing while maintaining accuracy through automated validation checks.

In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool invocation failures. This is Part 1 of a two-part series. Part 2 covers performance optimization and memory management.

Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents.