Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...