Google’s semantic database behind shopping is the Google Shopping Graph, so it’s time you consider shopping graph optimization. Why is the shopping graph so important in the age of generative AI?

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Dr. James McCaffrey of Microsoft Research explains how to implement a geometry-inspired optimization technique called spiral dynamics optimization (SDO), an alternative to Calculus-based techniques ...

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀 ...

Last fall, the folks in Facebook's engineering team talked about how they employed the Apache Giraph engine to build a graph on its Hadoop platform that can host more than a trillion edges. While the ...

Algorithmic Graph Theory and Optimization Publication Trend The graph below shows the total number of publications each year in Algorithmic Graph Theory and Optimization.

Quadratic Unconstrained Binary Optimization (QUBO): For NP-hard discrete optimization problems like max-cut, graph coloring, partitioning, and maximum independent set.

BEAVERTON, Ore. — Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of OptiMods, an open-source project that provides Python users with high-level ...