Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Objectives To examine how the population composition, practice organisation and geographical context of general practice clinics are associated with unwarranted variation in prescribing patterns ...

C-sections can be lifesaving, but sometimes the procedure can be overused. Data helped show how a hospital decreased its rates of the operation in healthy first-time mothers. By Sarah Kliff Times ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...

Ali Ghodsi, co-founder and chief executive of Databricks Inc., believes that data and artificial intelligence estates are fragmented, costly and much too complex. Today, he explained how his company’s ...

AI is everywhere. Copilots help employees boost productivity, and agents provide front-line customer support. LLMs enable businesses to extract deep insights from their data. Once unleashed, however, ...

Introduction: We present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...