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

At Parloa, the model is different: transparent, per‑minute consumption pricing, not outcome-based revenue sharing.

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

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

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 ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

Researchers explored the nuanced dynamics of how people balance their desire to speak out vs their fear of punishment in a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...

Is the risk of exposing itself to fresh legal challenges really the main reason for the NCAA's hesitance to try to enforce ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...