Frontiers

Advancing Cardiovascular Risk Stratification with Machine Learning

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
Drexel University

Machine Learning Can Support Urban Planning for Energy Use

As Philadelphia strives to meet greenhouse gas emissions goals established in its 2050 Plan, a better understanding of how zoning can play a role in managing building energy use could set the city up ...
Frontiers

Remote Sensing, Machine Learning and Socio-Economic Indicators for Climate-Smart Agriculture and Net Zero

Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Nature

Rate Of Penetration Prediction In Drilling Engineering Using Machine Learning

The prediction of the rate of penetration (ROP) in drilling engineering is a linchpin for optimising operational efficiency and reducing costs. Recent advances in machine learning have prompted the ...
Forbes

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...