Reactive Machines

Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply…

Agents have evolved from simple chat applications to autonomous, long-running systems that dynamically discover and compose dozens of tools per…

Amazon Quick embedded chat provides a conversational AI interface that you can integrate directly into your web application. Your users…

Independent Software Vendors (ISVs) are expanding their offerings and adding AI agents. Common considerations for organizations when adding agentic workloads…

Reinforcement Learning with Verifiable Rewards (RLVR), often optimized with Group Relative Policy Optimization (GRPO), has become a central recipe for…

Machine learning techniques in multi-view settings face significant challenges, particularly when integrating heterogeneous data, aligning feature spaces, and managing view-specific…

Kernel-based optimal transport (OT) estimators offer an alternative, functional estimation procedure to address OT problems from samples. Recent works suggest…

NVIDIA Nemotron 3.5 Lightning is designed for the fast, specialized model execution required by high-volume agentic workloads. With NVIDIA Nemotron…

This post is a collaboration between AWS and the OpenClaw Foundation. Autonomous agents that browse the web, call APIs, and…

In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can…