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

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

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

Abstract: Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an effective diagnostic tool with great potential for accurately detecting autism spectrum ...

CRN rounded up 10 of the hottest AI networking tools and platforms that solution providers should know about right now.

Abstract: Visual inspection of surface defects in industrial products is crucial for quality control but remains challenging due to unpredictable and multiscale defects. Unsupervised anomaly detection ...

Researchers have introduced a new blockchain-enabled framework that could significantly advance dynamic spectrum sharing (DSS) in future 6G wireless networks, addressing long-standing challenges in ...

The emergence of large language models (LLMs) offers great promise for building domain-specific agents, but adapting them for network management remains challenging. To understand why, we conduct a ...