The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

I live with several cocker spaniels. They are smart and affectionate, but sometimes air-headed, impulsive and extremely ...

Do lions have accents? Study finds geographic differences in roars and reveals what scientists thought was one roar type is ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Mental health conditions and substance use disorders in women pose significant challenges to global health. Women are ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

Artificial intelligence (AI) writing tools are often framed as authoritative tutors, prioritizing grammatical accuracy. For ...

Jo Guldi spoke at ASU about her research showing the intersection of data science and history through machine learning.

Using a machine learning technique that compares molecular fingerprints left behind by living organisms, researchers have ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...