Agent systems covers the move from single model prompts to AI that plans, uses tools, and acts across multiple steps. Articles here examine agent architectures, memory, tool use, and the evaluation problems that make autonomous behavior hard to trust. We focus on how these systems are actually built and where current designs still fall short.
Scientific computing has a glamorous front and a tedious back. The glamour is the physics, the plume of carbon dioxide creeping through porous rock, the pressure building against a distant aquifer. The tedium is getting the simulator to accept your…
Agents4GEOS: An Agent Team That Builds Physics Simulations Read More »
A coding agent writes the pull request and an engineer reviews it. A model flags the nodule and a radiologist signs the report. In both cases the team ships something, and in both cases a quietly important question goes unanswered.…
How to Test If a Human AI Team Beats Working Alone Read More »
A synchrotron beamline is a strange place to spend a Tuesday at three in the morning. Beam time is precious, booked months ahead, and the clock does not stop for a tired researcher nudging motors a fraction of a degree…
An Agentic AI That Operates a Synchrotron Beamline Read More »
Traditional automation covers robotic process automation, scripted workflows, and rule engines. Tools like UiPath, Zapier, and Power Automate fall into this bucket. They follow a fixed sequence. If a field on a screen matches a condition, do this. If a…
AI Agents vs Traditional Automation: Which Delivers Better Results Read More »
The first wave of AI agents worked alone. Give a model a goal, a set of tools, and a loop that lets it plan and act, and it can book a flight or summarize a document without much help. That…
Agent to Agent Communication Explained for 2026 Read More »
Multi-agent reinforcement learning trains a team of agents to act well together under partial observability, each one seeing only a slice of the environment and having to guess at what its teammates know or plan to do. Communication is the…
How Directed Sparse Graphs Improve Multi-Agent Communication Read More »
Most industrial defect detection systems answer two questions. Where is the damage, and what category does it fall into. That has real value for automated inspection, but it stops well short of what a quality manager actually needs, which is…
Multi-Agent System Explain Why a Defect Actually Happened Read More »
In April 2026, an autonomous coding agent running inside a development environment received a routine instruction and, in about nine seconds, deleted a company’s entire production database along with every backup. The company, a small platform called Pocket OS, had…
Agentic AI Adoption Is Outrunning Its Reliability Read More »
A practical guide to building an AI agent for your website — combining an LLM with tools, memory, and retrieval to handle visitor questions in real time.
How to Create an AI Agent For Your Website Read More »
Artificial intelligence has moved far beyond simple chatbots and automated replies. Today, AI agents are becoming digital workers that can make decisions, perform tasks, learn from interactions, and help businesses operate around the clock. From managing customer support to optimizing…
How AI Agents Power Online Business Growth in 2026 Read More »