Reactive Machines

Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so…

Model customization transforms general-purpose AI models into specialized enterprise assets. By fine-tuning foundation models (FMs) on domain-specific data, businesses teach…

This paper was accepted at the AI4TCI (Workshop on AI for Secure and Trustworthy Critical Infrastructure Systems) Workshop at the…

When Model Context Protocol (MCP) tools underperform, the cause is rarely the protocol itself but the tool design. Many teams…

Long context management is still a major challenge for language models: even with extended context windows, models often fail to…

On-policy distillation provides dense, token-by-token monitoring of training thought models; however, it remains unclear under which conditions this signal is…

Multimodal linguistic models (MLLMs) have recently shown strong performance in visual comprehension, however they often lack temporal awareness, especially in…

Businesses using Claude Code and Claude Desktop across development teams need centralized control over access, costs, and policy. At scale,…

In pharmaceutical research, scientists face a fundamental challenge: accessing and connecting the vast amount of scientific knowledge scattered across disparate…

When you deploy generative AI agents with Amazon Bedrock AgentCore as production API endpoints, you might want to enforce web…