Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

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 ...

"The biggest risk is not taking any risk ... the only strategy that is guaranteed to fail is not taking risks," advised Mark Zuckerberg.Every story has a beginning. Every story has an element of risk.

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Biochar is widely promoted as a climate friendly soil amendment that can store carbon and improve crop growth. Yet scientists have long debated whether it always benefits soil ecosystems. A new study ...

Abstract: Epilepsy is a neurological condition because seizures occur at random and thus patients require automated and accurate detection mechanisms. The study design employs an evaluation of ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models ...