Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Most organizations rely on traditional last-touch attribution, a simple model that assigns 100% credit to the last engagement ...

Abstract: Graph machine learning has been extensively studied in both academia and industry. Although booming with a vast number of emerging methods and techniques, most of the literature is built on ...

Apple has been using this laptop design for about four years now, since it released the M1 Pro and M1 Max versions of the ...

A pair of 2-1 divisional rivals will face off on Thursday Night Football as the Arizona Cardinals host the Seattle Seahawks. Both Kyler Murray and Sam Darnold figure to factor into NFL prop bets, as ...

The One Data Agent, developed with Google, allows users to query global health financing data through an AI chatbot.

The Eagles draw comparisons to the Chiefs as Dianna Russini highlights their potential path toward building the NFL’s next dynasty. Russini’s point carries weight because of how the Eagles are ...

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...