Machine Learning

Scientists have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically

Relation receives $1.3M grant funding from the Bill & Melinda Gates Foundation

CytoML automates every stage of the flow cytometry data life cycle, from data acquisition to insight generation

Superhard materials have recently attracted increasing research interest due to their potential implications for a broad range of industries

Currently, manufacturers can only detect the quality and properties of graphene used in a product after it has been manufactured

KAUST researchers have developed a machine learning model that can analyze the structure of hydrocarbon molecules and accurately predict a property called enthalpy of formation

A new model improves how uncertainty is calculated when matching shoe print evidence, strengthening the validity of this forensics technique

Researchers have developed an artificial intelligence-led process that uses big data to design new proteins

New machine learning algorithm aims to make AI more energy efficient, solving a major hurdle in its broad use

While deep learning is a very powerful tool, its use in genomics has been limited