Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users ...

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 ...

Walmart's AI pricing patents enable instant price changes through digital shelf tags, raising concerns about algorithmic ...

A machine learning algorithm estimated 995,787 deaths caused by COVID-19 in the U.S. from March 2020 to December 2021 -- 19% more than official reports. COVID deaths in seniors were likely 21% to 22% ...

We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

Abstract: Machine learning has emerged as a powerful tool for predicting signal range in wireless communication networks, offering significant improvements over conventional models. Traditional ...

Sports card authentication services protect collectors from counterfeit specimens through comprehensive verification pro ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

At its core, machine learning, whether supervised or unsupervised, helps identify patterns in data. In order to make mathematical comparisons among data points, an algorithm often relies on the notion ...