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

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

TomTom launches Orbis Lane Model Maps for fresh, lane-level precision at scale ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

SINGAPORE - Media OutReach Newswire - 26 December 2025 - Z.ai has released GLM-4.7, the latest version of its open-source ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

Nvidia Corp. today announced the launch of Nemotron 3, a family of open models and data libraries aimed at powering the next ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

By engineering a system replicating the womb lining with high biological accuracy, researchers at the Babraham Institute and ...

For decades, managed service providers (MSPs) have operated under a model that rewards reactivity instead of reliability.