An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

IBM has published a patent application describing an AI decision engine for managing 3D printers. That is a pretty wide ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...

A unique psychology seminar course generated a decade’s worth of career advice for first time job seekers, including the importance of relationship building and flexibility.