Culture has long been the defining subject of anthropology, yet the concept has faced repeated calls for abandonment, largely because it resists easy ...

What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

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

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...

Data Knowledge Graph by Datafold is an AI-powered context layer designed for data engineering teams that rely on AI coding agents. It automatically collects and unifies context across data, pipelines, ...

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

Think about the last time you opened a shared document at work. Behind that simple action lies a complex network of relationships: the colleagues who edited the file before you, the team site on which ...

This article was originally published by WatersTechnology. Since 2023, Bloomberg has unveiled its internal LLM, BloombergGPT, and added an array of AI-powered tools to the terminal. As banks and asset ...

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized, and ...