Reactive Machines

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…

When you deploy AI agents built with frameworks like Strands Agents, LangGraph, and CrewAI, you need observability into their performance.…

As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained…

Part 1 introduced granular cost attribution for Amazon Bedrock. This feature automatically traces every inference request back to the IAM…

This post is co-authored with OneAdvanced team Deploying AI agents on a United Kingdom (UK)-sovereign AWS architecture requires careful decisions…

Cyber defenders have never had more capability at their fingertips, and they have never needed it more. Frontier models can…