Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...

Official count may have missed more than 150,000 coronavirus-related fatalities ...

Algorithmic trading refers to the use of computer programs and mathematical models to conduct financial market transactions automatically rather than manually. The conceptual foundations of algo ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

The artificial intelligence-enhanced electrocardiogram can effectively double the early identification of advanced chronic ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

A team led by Northwestern University’s Sam Kriegman built an AI system that designed a walking robot from scratch in seconds ...