In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

Use a loyalty card at a drug store, browse the web, post on social media, get married or do anything else most people do, and ...

El Reg speculates about what GPUzilla really gets out of the deal This summer, AI chip startup Groq raised $750 million at a ...

California legislative analysts concluded that data brokers offer valuable services, but also threaten people’s rights and ...

Discover how CoreWeave’s bare-metal GPU clusters and new AI workloads could drive massive growth. Find out more about the ...

Meta's AI-driven recommendations boost ad ROI and user engagement, while maintaining the lowest capex among Big Tech. Read ...

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

As AI workloads scale, data center infrastructure faces mounting pressure from power demand, grid constraints and cooling ...

The artificial intelligence data center industry has quickly evolved from a niche buildout into one of the most capital-intensive sectors in technology. What began as a race to secure GPUs has turned ...

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

This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...