GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Diginomica

The easy AI use cases are running out - Neo4j used Stranger Things data to show what comes next

With the final season of Stranger Things arriving, Neo4j has done something that may sound frivolous but turns out to be an interesting use case. It built HopperGraph, a system that analyzes fan ...
IEEE

A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning

Abstract: According to research, the vast majority of road accidents (90%) are the result of human error, with only a small percentage (2%) being caused by malfunctions in the vehicle. Smart vehicles ...
GitHub

Memento MCP: A Knowledge Graph Memory System for LLMs

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...
IEEE

Cryptanalysis of the SIMON Cypher Using Neo4j

Abstract: The exponential growth in the number of Internet of Things (IoT) devices has seen the introduction of several Lightweight Encryption Algorithms (LEA). While LEAs are designed to enhance the ...