A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Social-emotional skills are vital for students to develop in school to be prepared to work in an economy powered by ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...

Valence AI, an emotional intelligence infrastructure company, today announced $5 million in total funding, including a seed round led by Differential Ventures, with participation from Difference ...

Imagine sitting down at your desk and logging in for a performance review, with an AI system analyzing the conversation.

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Abstract: This abstract highlight that emotion plays a huge role in a human’s daily interaction. Currently, emotion recognition systems are very useful in different areas from human computer ...

Recognizing emotions objectively and accurately remains challenging because of the limited ecological validity, informational incompleteness, and constrained model performance of conventional ...

Abstract: Emotion recognition from audio signals is essential for human-computer interaction, affective computing, and mental health monitoring. However, traditional single-track systems often fail to ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...