If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

Machine learning can be valuable in supporting sustainable development of biomass if it is applied across the entire lifecyle of biomass and biomass-derived products, according to a new study. Biomass ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

Apple’s machine learning research team quietly releases a framework called MLX to build foundation models. Apple’s machine learning research team quietly releases a framework called MLX to build ...

A study published in JAMA Network Open describes the utility of multi-level machine learning models in estimating the risk of delay between cancer diagnosis and treatment initiation in a large group ...