This month’s updates help security and IT teams strengthen identity and multicloud foundations, protect data wherever it ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

Here is why I stopped trusting standard note apps with my personal diaries and hosted my own instead. I've tried a plethora ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

The reason enterprise AI remains stubbornly artisanal is not because models are too weak. It is not because context windows are too short, or agents need better prompts, or companies are resisting ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

These are my go-to libraries for Python data crunching.

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Most people assume nonprofits are behind on technology, but watching how they're actually engaging with AI today, I’d argue ...