Abstract: As mobile devices and sensor technology advance, their role in communication becomes increasingly indispensable. Micro-expression recognition, an invaluable non-verbal communication method, ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...

The 2022 death of Amy Eskridge, a Huntsville, Alabama–based researcher, has now resurfaced online as the 11th case in a growing list of scientists who have died or disappeared under unusual ...

We present evidence from a field experiment across 66 firms and 7,137 knowledge workers. Workers were randomly selected to access a generative AI tool integrated into applications they already used at ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains surprisingly difficult. Researchers at Chalmers University of Technology, Sweden, ...