Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, data, and processes interconnect A graph-based representation of ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...

We're running out of the easy use cases, where we just throw a large set of unstructured data on it and magic comes out the other side. Now we're hitting the useful, but much harder set of use cases ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Officials estimate that pythons have killed 95% of small mammals as well as thousands of birds in Everglades National Park South Florida Water Management District via AP; AP Photo/Lynne Sladky ...

Microsoft is betting big on AI. Starting with integrating Bing with ChatGPT, it has implemented AI capabilities in its products. Microsoft Designer is a new product from Microsoft with AI capabilities ...

I'm using the neo4j_graphrag Python package to build a GraphRAG knowledge base. I'm encountering an issue where my retrieval query returns multiple results even when setting top_k=1. Here's the ...

Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...