Traditional automation follows rigid, predefined rules to handle repetitive tasks. Modern AI agents use large language models (LLMs) to interpret context and make autonomous decisions toward specific ...

AI is entering a new phase. Enterprises have been experimenting with AI through chatbots and copilots that answered questions or summarized information. Now, the shift is toward implementing AI agents ...

OpenAI Agents SDK update adds sandbox execution and a new harness to help developers build reliable, production-ready AI ...

Fashion-tech startup Phia announced a $35 million Series A earlier this week at a $185 million valuation — a raise that signals how fintech’s next frontier may be shaped not only at checkout, but ...

AI assistant have become a thing of the past. What's now is far more autonomous and OpenAI is making it a lot easier to build ...

A study led by MIT researchers found that agentic AI developers seldom publish detailed information about how these tools were tested for safety. Macy is a writer on the AI Team. She covers how AI is ...

Automation has long been part of the discipline, helping teams structure data, streamline reporting, and reduce repetitive work. Now, AI agent platforms combine workflow orchestration with large ...

Industrial R&D teams sit on a goldmine of testing and operational data. But until now, unlocking that data required costly, ...

We first look at the three waves of AI in manufacturing: machine learning solutions, generative AI and agentic AI. We then examine AI agents' strengths, weaknesses, opportunities and threats (SWOT) ...

Agent sprawl could mirror the VM explosion era. Excessive agent agency increases breach blast radius. Treat AI agents like employees with credentials. Ever since October, I've been happily vibe-coding ...