Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s often misunderstood, especially by non-technical founders. Words like ...

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

AI agents are moving beyond the workplace and into everyday life, with the potential to manage shopping, schedules, and ...

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype and ...

New platform capabilities orchestrate empathetic, predictive, and compliant AI agents to enhance citizen services, commerce, ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

In this tutorial, we explore how we can orchestrate a team of specialized AI agents locally using an efficient manager-agent architecture powered by TinyLlama. We walk through how we build structured ...