Generative AI services and tools that use tokens to produce results can get expensive quickly. That’s spurring IT leaders to look for new ways to reduce token use — and save money.

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

When applied thoughtfully, agentic AI has the potential to turn classrooms into environments where students actively explore complex systems rather than passively absorb information ...

Alibaba's SkillWeaver framework routes AI agents through massive tool libraries with 99% less token consumption. Here's how ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Learn how to evaluate AI code quality platforms using enterprise criteria including scalability, predictive insights, and business impact.

Protect your Model Context Protocol deployments from quantum-era data harvesting. Learn why TLS 1.3 is insufficient and how to implement quantum-resistant security.

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...